Commit
•
61944bd
1
Parent(s):
e89b36d
Initial model commit
Browse files- README.md +110 -0
- adapter_config.json +28 -0
- adapter_model.bin +3 -0
- added_tokens.json +5 -0
- checkpoint-1002/README.md +21 -0
- checkpoint-1002/adapter_config.json +28 -0
- checkpoint-1002/adapter_model.bin +3 -0
- checkpoint-1002/optimizer.pt +3 -0
- checkpoint-1002/rng_state.pth +3 -0
- checkpoint-1002/scheduler.pt +3 -0
- checkpoint-1002/trainer_state.json +0 -0
- checkpoint-1002/training_args.bin +3 -0
- checkpoint-334/README.md +21 -0
- checkpoint-334/adapter_config.json +28 -0
- checkpoint-334/adapter_model.bin +3 -0
- checkpoint-334/optimizer.pt +3 -0
- checkpoint-334/rng_state.pth +3 -0
- checkpoint-334/scheduler.pt +3 -0
- checkpoint-334/trainer_state.json +2151 -0
- checkpoint-334/training_args.bin +3 -0
- checkpoint-669/README.md +21 -0
- checkpoint-669/adapter_config.json +28 -0
- checkpoint-669/adapter_model.bin +3 -0
- checkpoint-669/optimizer.pt +3 -0
- checkpoint-669/rng_state.pth +3 -0
- checkpoint-669/scheduler.pt +3 -0
- checkpoint-669/trainer_state.json +4297 -0
- checkpoint-669/training_args.bin +3 -0
- config.json +37 -0
- special_tokens_map.json +6 -0
- tokenizer.model +3 -0
- tokenizer_config.json +45 -0
README.md
ADDED
|
@@ -0,0 +1,110 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: mistralai/Mistral-7B-v0.1
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
model-index:
|
| 7 |
+
- name: supercot-lora
|
| 8 |
+
results: []
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 12 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 13 |
+
|
| 14 |
+
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
|
| 15 |
+
# supercot-lora
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.9790
|
| 20 |
+
|
| 21 |
+
## Model description
|
| 22 |
+
|
| 23 |
+
More information needed
|
| 24 |
+
|
| 25 |
+
## Intended uses & limitations
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Training and evaluation data
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training procedure
|
| 34 |
+
|
| 35 |
+
### Training hyperparameters
|
| 36 |
+
|
| 37 |
+
The following hyperparameters were used during training:
|
| 38 |
+
- learning_rate: 0.0002
|
| 39 |
+
- train_batch_size: 2
|
| 40 |
+
- eval_batch_size: 2
|
| 41 |
+
- seed: 42
|
| 42 |
+
- gradient_accumulation_steps: 4
|
| 43 |
+
- total_train_batch_size: 8
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: cosine
|
| 46 |
+
- lr_scheduler_warmup_steps: 10
|
| 47 |
+
- num_epochs: 3
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 52 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 53 |
+
| 0.7661 | 0.06 | 20 | 1.5173 |
|
| 54 |
+
| 0.7681 | 0.12 | 40 | 1.2323 |
|
| 55 |
+
| 0.6647 | 0.18 | 60 | 1.1306 |
|
| 56 |
+
| 0.6742 | 0.24 | 80 | 1.0847 |
|
| 57 |
+
| 0.6995 | 0.3 | 100 | 1.0573 |
|
| 58 |
+
| 0.6883 | 0.36 | 120 | 1.0412 |
|
| 59 |
+
| 0.6437 | 0.42 | 140 | 1.0375 |
|
| 60 |
+
| 0.6331 | 0.48 | 160 | 1.0186 |
|
| 61 |
+
| 0.6686 | 0.54 | 180 | 1.0153 |
|
| 62 |
+
| 0.6767 | 0.6 | 200 | 1.0042 |
|
| 63 |
+
| 0.7037 | 0.66 | 220 | 1.0023 |
|
| 64 |
+
| 0.6994 | 0.72 | 240 | 1.0014 |
|
| 65 |
+
| 0.7012 | 0.78 | 260 | 0.9996 |
|
| 66 |
+
| 0.6599 | 0.84 | 280 | 0.9926 |
|
| 67 |
+
| 0.6401 | 0.9 | 300 | 0.9913 |
|
| 68 |
+
| 0.6665 | 0.96 | 320 | 0.9910 |
|
| 69 |
+
| 0.5771 | 1.02 | 340 | 0.9907 |
|
| 70 |
+
| 0.6286 | 1.08 | 360 | 0.9830 |
|
| 71 |
+
| 0.6064 | 1.14 | 380 | 0.9865 |
|
| 72 |
+
| 0.5976 | 1.19 | 400 | 0.9802 |
|
| 73 |
+
| 0.5512 | 1.25 | 420 | 0.9817 |
|
| 74 |
+
| 0.6333 | 1.31 | 440 | 0.9810 |
|
| 75 |
+
| 0.5883 | 1.37 | 460 | 0.9817 |
|
| 76 |
+
| 0.5822 | 1.43 | 480 | 0.9783 |
|
| 77 |
+
| 0.5878 | 1.49 | 500 | 0.9757 |
|
| 78 |
+
| 0.5951 | 1.55 | 520 | 0.9753 |
|
| 79 |
+
| 0.6466 | 1.61 | 540 | 0.9719 |
|
| 80 |
+
| 0.6246 | 1.67 | 560 | 0.9681 |
|
| 81 |
+
| 0.627 | 1.73 | 580 | 0.9705 |
|
| 82 |
+
| 0.6214 | 1.79 | 600 | 0.9691 |
|
| 83 |
+
| 0.6558 | 1.85 | 620 | 0.9709 |
|
| 84 |
+
| 0.5736 | 1.91 | 640 | 0.9674 |
|
| 85 |
+
| 0.6188 | 1.97 | 660 | 0.9674 |
|
| 86 |
+
| 0.5293 | 2.03 | 680 | 0.9742 |
|
| 87 |
+
| 0.5463 | 2.09 | 700 | 0.9766 |
|
| 88 |
+
| 0.5184 | 2.15 | 720 | 0.9776 |
|
| 89 |
+
| 0.5349 | 2.21 | 740 | 0.9783 |
|
| 90 |
+
| 0.5536 | 2.27 | 760 | 0.9794 |
|
| 91 |
+
| 0.5016 | 2.33 | 780 | 0.9822 |
|
| 92 |
+
| 0.5075 | 2.39 | 800 | 0.9795 |
|
| 93 |
+
| 0.5529 | 2.45 | 820 | 0.9808 |
|
| 94 |
+
| 0.5168 | 2.51 | 840 | 0.9784 |
|
| 95 |
+
| 0.5416 | 2.57 | 860 | 0.9793 |
|
| 96 |
+
| 0.4845 | 2.63 | 880 | 0.9804 |
|
| 97 |
+
| 0.5487 | 2.69 | 900 | 0.9801 |
|
| 98 |
+
| 0.5313 | 2.75 | 920 | 0.9797 |
|
| 99 |
+
| 0.5449 | 2.81 | 940 | 0.9790 |
|
| 100 |
+
| 0.5303 | 2.87 | 960 | 0.9795 |
|
| 101 |
+
| 0.5599 | 2.93 | 980 | 0.9795 |
|
| 102 |
+
| 0.544 | 2.99 | 1000 | 0.9790 |
|
| 103 |
+
|
| 104 |
+
|
| 105 |
+
### Framework versions
|
| 106 |
+
|
| 107 |
+
- Transformers 4.34.0.dev0
|
| 108 |
+
- Pytorch 2.0.1+cu118
|
| 109 |
+
- Datasets 2.14.5
|
| 110 |
+
- Tokenizers 0.14.0
|
adapter_config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layers_pattern": null,
|
| 10 |
+
"layers_to_transform": null,
|
| 11 |
+
"lora_alpha": 16,
|
| 12 |
+
"lora_dropout": 0.05,
|
| 13 |
+
"modules_to_save": null,
|
| 14 |
+
"peft_type": "LORA",
|
| 15 |
+
"r": 32,
|
| 16 |
+
"rank_pattern": {},
|
| 17 |
+
"revision": null,
|
| 18 |
+
"target_modules": [
|
| 19 |
+
"v_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"down_proj",
|
| 22 |
+
"o_proj",
|
| 23 |
+
"up_proj",
|
| 24 |
+
"gate_proj",
|
| 25 |
+
"k_proj"
|
| 26 |
+
],
|
| 27 |
+
"task_type": "CAUSAL_LM"
|
| 28 |
+
}
|
adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:08b1b73d7017de9865ed46d6cd6c3a9a6127bd7eacb5a2d5b98d8c9252a1c6a0
|
| 3 |
+
size 335705741
|
added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</s>": 2,
|
| 3 |
+
"<s>": 1,
|
| 4 |
+
"<unk>": 0
|
| 5 |
+
}
|
checkpoint-1002/README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: True
|
| 10 |
+
- load_in_4bit: False
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: fp4
|
| 16 |
+
- bnb_4bit_use_double_quant: False
|
| 17 |
+
- bnb_4bit_compute_dtype: float32
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.6.0.dev0
|
checkpoint-1002/adapter_config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layers_pattern": null,
|
| 10 |
+
"layers_to_transform": null,
|
| 11 |
+
"lora_alpha": 16,
|
| 12 |
+
"lora_dropout": 0.05,
|
| 13 |
+
"modules_to_save": null,
|
| 14 |
+
"peft_type": "LORA",
|
| 15 |
+
"r": 32,
|
| 16 |
+
"rank_pattern": {},
|
| 17 |
+
"revision": null,
|
| 18 |
+
"target_modules": [
|
| 19 |
+
"v_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"down_proj",
|
| 22 |
+
"o_proj",
|
| 23 |
+
"up_proj",
|
| 24 |
+
"gate_proj",
|
| 25 |
+
"k_proj"
|
| 26 |
+
],
|
| 27 |
+
"task_type": "CAUSAL_LM"
|
| 28 |
+
}
|
checkpoint-1002/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:08b1b73d7017de9865ed46d6cd6c3a9a6127bd7eacb5a2d5b98d8c9252a1c6a0
|
| 3 |
+
size 335705741
|
checkpoint-1002/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1dc1ed40f6d09fcc28a2392cf8d4e2d24ef052999e08549c8bee62d25c628347
|
| 3 |
+
size 168624735
|
checkpoint-1002/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b29fa98b9f012bf405284a68bc9dc06a47b65fe7d90a86aba3fd58f90be1117
|
| 3 |
+
size 14575
|
checkpoint-1002/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8b5ab1dfeb32f4a52cfa67b0aaf0fc080fca4001f56f082b5192b86d67057e0d
|
| 3 |
+
size 627
|
checkpoint-1002/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1002/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a7780122e038bb83236a6b213b013867a89c4e742cce8c1208c1a41fc54e6c57
|
| 3 |
+
size 4475
|
checkpoint-334/README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: True
|
| 10 |
+
- load_in_4bit: False
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: fp4
|
| 16 |
+
- bnb_4bit_use_double_quant: False
|
| 17 |
+
- bnb_4bit_compute_dtype: float32
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.6.0.dev0
|
checkpoint-334/adapter_config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layers_pattern": null,
|
| 10 |
+
"layers_to_transform": null,
|
| 11 |
+
"lora_alpha": 16,
|
| 12 |
+
"lora_dropout": 0.05,
|
| 13 |
+
"modules_to_save": null,
|
| 14 |
+
"peft_type": "LORA",
|
| 15 |
+
"r": 32,
|
| 16 |
+
"rank_pattern": {},
|
| 17 |
+
"revision": null,
|
| 18 |
+
"target_modules": [
|
| 19 |
+
"v_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"down_proj",
|
| 22 |
+
"o_proj",
|
| 23 |
+
"up_proj",
|
| 24 |
+
"gate_proj",
|
| 25 |
+
"k_proj"
|
| 26 |
+
],
|
| 27 |
+
"task_type": "CAUSAL_LM"
|
| 28 |
+
}
|
checkpoint-334/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5361471ef99d12a2bd6efcc7a68a21d280f6054762518fed67fc416be2f01be5
|
| 3 |
+
size 335705741
|
checkpoint-334/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:91e3312b7119b30229c6eb665c4eef218eab7199dccf42ffc62ef45dd5c3ec70
|
| 3 |
+
size 168624735
|
checkpoint-334/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:28e2a0fb7ee32f0a066b898de199a4667218aa32e9df38aef2669bbfd6da825a
|
| 3 |
+
size 14575
|
checkpoint-334/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:13d1c67cb4f0a266db63ac99579361487f41f1b07b1caa83a062b71665d0ef19
|
| 3 |
+
size 627
|
checkpoint-334/trainer_state.json
ADDED
|
@@ -0,0 +1,2151 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9977595220313666,
|
| 5 |
+
"eval_steps": 20,
|
| 6 |
+
"global_step": 334,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"learning_rate": 2e-05,
|
| 14 |
+
"loss": 1.5197,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.01,
|
| 19 |
+
"learning_rate": 4e-05,
|
| 20 |
+
"loss": 1.5435,
|
| 21 |
+
"step": 2
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.01,
|
| 25 |
+
"learning_rate": 6e-05,
|
| 26 |
+
"loss": 1.3967,
|
| 27 |
+
"step": 3
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.01,
|
| 31 |
+
"learning_rate": 8e-05,
|
| 32 |
+
"loss": 1.368,
|
| 33 |
+
"step": 4
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.01,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"loss": 1.2766,
|
| 39 |
+
"step": 5
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.02,
|
| 43 |
+
"learning_rate": 0.00012,
|
| 44 |
+
"loss": 1.1676,
|
| 45 |
+
"step": 6
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.02,
|
| 49 |
+
"learning_rate": 0.00014,
|
| 50 |
+
"loss": 1.0507,
|
| 51 |
+
"step": 7
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.02,
|
| 55 |
+
"learning_rate": 0.00016,
|
| 56 |
+
"loss": 1.0016,
|
| 57 |
+
"step": 8
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.03,
|
| 61 |
+
"learning_rate": 0.00018,
|
| 62 |
+
"loss": 0.9427,
|
| 63 |
+
"step": 9
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.03,
|
| 67 |
+
"learning_rate": 0.0002,
|
| 68 |
+
"loss": 0.9294,
|
| 69 |
+
"step": 10
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.03,
|
| 73 |
+
"learning_rate": 0.00019999949852874652,
|
| 74 |
+
"loss": 0.9023,
|
| 75 |
+
"step": 11
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.04,
|
| 79 |
+
"learning_rate": 0.00019999799412001546,
|
| 80 |
+
"loss": 0.8257,
|
| 81 |
+
"step": 12
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.04,
|
| 85 |
+
"learning_rate": 0.0001999954867888952,
|
| 86 |
+
"loss": 0.9064,
|
| 87 |
+
"step": 13
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.04,
|
| 91 |
+
"learning_rate": 0.00019999197656053288,
|
| 92 |
+
"loss": 0.8408,
|
| 93 |
+
"step": 14
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.04,
|
| 97 |
+
"learning_rate": 0.00019998746347013398,
|
| 98 |
+
"loss": 0.9058,
|
| 99 |
+
"step": 15
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.05,
|
| 103 |
+
"learning_rate": 0.0001999819475629623,
|
| 104 |
+
"loss": 0.8419,
|
| 105 |
+
"step": 16
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.05,
|
| 109 |
+
"learning_rate": 0.00019997542889433915,
|
| 110 |
+
"loss": 0.8535,
|
| 111 |
+
"step": 17
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.05,
|
| 115 |
+
"learning_rate": 0.00019996790752964305,
|
| 116 |
+
"loss": 0.8121,
|
| 117 |
+
"step": 18
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.06,
|
| 121 |
+
"learning_rate": 0.00019995938354430898,
|
| 122 |
+
"loss": 0.7725,
|
| 123 |
+
"step": 19
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.06,
|
| 127 |
+
"learning_rate": 0.00019994985702382758,
|
| 128 |
+
"loss": 0.7661,
|
| 129 |
+
"step": 20
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.06,
|
| 133 |
+
"eval_loss": 1.517298698425293,
|
| 134 |
+
"eval_runtime": 15.7157,
|
| 135 |
+
"eval_samples_per_second": 37.097,
|
| 136 |
+
"eval_steps_per_second": 18.58,
|
| 137 |
+
"step": 20
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.06,
|
| 141 |
+
"learning_rate": 0.0001999393280637444,
|
| 142 |
+
"loss": 0.7878,
|
| 143 |
+
"step": 21
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.07,
|
| 147 |
+
"learning_rate": 0.00019992779676965885,
|
| 148 |
+
"loss": 0.7435,
|
| 149 |
+
"step": 22
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.07,
|
| 153 |
+
"learning_rate": 0.00019991526325722315,
|
| 154 |
+
"loss": 0.8219,
|
| 155 |
+
"step": 23
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 0.07,
|
| 159 |
+
"learning_rate": 0.00019990172765214128,
|
| 160 |
+
"loss": 0.7624,
|
| 161 |
+
"step": 24
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 0.07,
|
| 165 |
+
"learning_rate": 0.00019988719009016753,
|
| 166 |
+
"loss": 0.7527,
|
| 167 |
+
"step": 25
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 0.08,
|
| 171 |
+
"learning_rate": 0.00019987165071710527,
|
| 172 |
+
"loss": 0.7699,
|
| 173 |
+
"step": 26
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 0.08,
|
| 177 |
+
"learning_rate": 0.00019985510968880557,
|
| 178 |
+
"loss": 0.7536,
|
| 179 |
+
"step": 27
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 0.08,
|
| 183 |
+
"learning_rate": 0.00019983756717116536,
|
| 184 |
+
"loss": 0.7863,
|
| 185 |
+
"step": 28
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.09,
|
| 189 |
+
"learning_rate": 0.000199819023340126,
|
| 190 |
+
"loss": 0.7166,
|
| 191 |
+
"step": 29
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.09,
|
| 195 |
+
"learning_rate": 0.0001997994783816715,
|
| 196 |
+
"loss": 0.7459,
|
| 197 |
+
"step": 30
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 0.09,
|
| 201 |
+
"learning_rate": 0.00019977893249182652,
|
| 202 |
+
"loss": 0.7376,
|
| 203 |
+
"step": 31
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 0.1,
|
| 207 |
+
"learning_rate": 0.00019975738587665456,
|
| 208 |
+
"loss": 0.7624,
|
| 209 |
+
"step": 32
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 0.1,
|
| 213 |
+
"learning_rate": 0.00019973483875225574,
|
| 214 |
+
"loss": 0.7329,
|
| 215 |
+
"step": 33
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 0.1,
|
| 219 |
+
"learning_rate": 0.00019971129134476473,
|
| 220 |
+
"loss": 0.7512,
|
| 221 |
+
"step": 34
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.1,
|
| 225 |
+
"learning_rate": 0.0001996867438903486,
|
| 226 |
+
"loss": 0.7211,
|
| 227 |
+
"step": 35
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.11,
|
| 231 |
+
"learning_rate": 0.00019966119663520412,
|
| 232 |
+
"loss": 0.7467,
|
| 233 |
+
"step": 36
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.11,
|
| 237 |
+
"learning_rate": 0.00019963464983555556,
|
| 238 |
+
"loss": 0.7186,
|
| 239 |
+
"step": 37
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 0.11,
|
| 243 |
+
"learning_rate": 0.0001996071037576521,
|
| 244 |
+
"loss": 0.7244,
|
| 245 |
+
"step": 38
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 0.12,
|
| 249 |
+
"learning_rate": 0.00019957855867776508,
|
| 250 |
+
"loss": 0.7071,
|
| 251 |
+
"step": 39
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.12,
|
| 255 |
+
"learning_rate": 0.00019954901488218515,
|
| 256 |
+
"loss": 0.7681,
|
| 257 |
+
"step": 40
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.12,
|
| 261 |
+
"eval_loss": 1.2323185205459595,
|
| 262 |
+
"eval_runtime": 15.7174,
|
| 263 |
+
"eval_samples_per_second": 37.093,
|
| 264 |
+
"eval_steps_per_second": 18.578,
|
| 265 |
+
"step": 40
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 0.12,
|
| 269 |
+
"learning_rate": 0.0001995184726672197,
|
| 270 |
+
"loss": 0.708,
|
| 271 |
+
"step": 41
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.13,
|
| 275 |
+
"learning_rate": 0.00019948693233918952,
|
| 276 |
+
"loss": 0.7443,
|
| 277 |
+
"step": 42
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 0.13,
|
| 281 |
+
"learning_rate": 0.000199454394214426,
|
| 282 |
+
"loss": 0.7079,
|
| 283 |
+
"step": 43
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.13,
|
| 287 |
+
"learning_rate": 0.0001994208586192678,
|
| 288 |
+
"loss": 0.6812,
|
| 289 |
+
"step": 44
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.13,
|
| 293 |
+
"learning_rate": 0.0001993863258900577,
|
| 294 |
+
"loss": 0.6792,
|
| 295 |
+
"step": 45
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"epoch": 0.14,
|
| 299 |
+
"learning_rate": 0.00019935079637313906,
|
| 300 |
+
"loss": 0.6553,
|
| 301 |
+
"step": 46
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 0.14,
|
| 305 |
+
"learning_rate": 0.0001993142704248525,
|
| 306 |
+
"loss": 0.6936,
|
| 307 |
+
"step": 47
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.14,
|
| 311 |
+
"learning_rate": 0.00019927674841153237,
|
| 312 |
+
"loss": 0.74,
|
| 313 |
+
"step": 48
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 0.15,
|
| 317 |
+
"learning_rate": 0.00019923823070950282,
|
| 318 |
+
"loss": 0.7154,
|
| 319 |
+
"step": 49
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 0.15,
|
| 323 |
+
"learning_rate": 0.0001991987177050743,
|
| 324 |
+
"loss": 0.6902,
|
| 325 |
+
"step": 50
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.15,
|
| 329 |
+
"learning_rate": 0.0001991582097945395,
|
| 330 |
+
"loss": 0.7009,
|
| 331 |
+
"step": 51
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.16,
|
| 335 |
+
"learning_rate": 0.00019911670738416947,
|
| 336 |
+
"loss": 0.699,
|
| 337 |
+
"step": 52
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 0.16,
|
| 341 |
+
"learning_rate": 0.00019907421089020955,
|
| 342 |
+
"loss": 0.681,
|
| 343 |
+
"step": 53
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 0.16,
|
| 347 |
+
"learning_rate": 0.00019903072073887507,
|
| 348 |
+
"loss": 0.7097,
|
| 349 |
+
"step": 54
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 0.16,
|
| 353 |
+
"learning_rate": 0.00019898623736634737,
|
| 354 |
+
"loss": 0.6861,
|
| 355 |
+
"step": 55
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 0.17,
|
| 359 |
+
"learning_rate": 0.000198940761218769,
|
| 360 |
+
"loss": 0.7279,
|
| 361 |
+
"step": 56
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 0.17,
|
| 365 |
+
"learning_rate": 0.00019889429275223957,
|
| 366 |
+
"loss": 0.6784,
|
| 367 |
+
"step": 57
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.17,
|
| 371 |
+
"learning_rate": 0.00019884683243281116,
|
| 372 |
+
"loss": 0.7,
|
| 373 |
+
"step": 58
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.18,
|
| 377 |
+
"learning_rate": 0.00019879838073648341,
|
| 378 |
+
"loss": 0.6634,
|
| 379 |
+
"step": 59
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 0.18,
|
| 383 |
+
"learning_rate": 0.00019874893814919906,
|
| 384 |
+
"loss": 0.6647,
|
| 385 |
+
"step": 60
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 0.18,
|
| 389 |
+
"eval_loss": 1.1306297779083252,
|
| 390 |
+
"eval_runtime": 15.73,
|
| 391 |
+
"eval_samples_per_second": 37.063,
|
| 392 |
+
"eval_steps_per_second": 18.563,
|
| 393 |
+
"step": 60
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 0.18,
|
| 397 |
+
"learning_rate": 0.00019869850516683875,
|
| 398 |
+
"loss": 0.7377,
|
| 399 |
+
"step": 61
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 0.19,
|
| 403 |
+
"learning_rate": 0.00019864708229521636,
|
| 404 |
+
"loss": 0.6794,
|
| 405 |
+
"step": 62
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 0.19,
|
| 409 |
+
"learning_rate": 0.00019859467005007368,
|
| 410 |
+
"loss": 0.6744,
|
| 411 |
+
"step": 63
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 0.19,
|
| 415 |
+
"learning_rate": 0.0001985412689570754,
|
| 416 |
+
"loss": 0.6921,
|
| 417 |
+
"step": 64
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.19,
|
| 421 |
+
"learning_rate": 0.00019848687955180386,
|
| 422 |
+
"loss": 0.7389,
|
| 423 |
+
"step": 65
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.2,
|
| 427 |
+
"learning_rate": 0.00019843150237975344,
|
| 428 |
+
"loss": 0.6795,
|
| 429 |
+
"step": 66
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.2,
|
| 433 |
+
"learning_rate": 0.00019837513799632534,
|
| 434 |
+
"loss": 0.6917,
|
| 435 |
+
"step": 67
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 0.2,
|
| 439 |
+
"learning_rate": 0.00019831778696682194,
|
| 440 |
+
"loss": 0.66,
|
| 441 |
+
"step": 68
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 0.21,
|
| 445 |
+
"learning_rate": 0.00019825944986644114,
|
| 446 |
+
"loss": 0.6926,
|
| 447 |
+
"step": 69
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 0.21,
|
| 451 |
+
"learning_rate": 0.00019820012728027044,
|
| 452 |
+
"loss": 0.7265,
|
| 453 |
+
"step": 70
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 0.21,
|
| 457 |
+
"learning_rate": 0.00019813981980328129,
|
| 458 |
+
"loss": 0.733,
|
| 459 |
+
"step": 71
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.22,
|
| 463 |
+
"learning_rate": 0.00019807852804032305,
|
| 464 |
+
"loss": 0.6543,
|
| 465 |
+
"step": 72
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.22,
|
| 469 |
+
"learning_rate": 0.00019801625260611685,
|
| 470 |
+
"loss": 0.673,
|
| 471 |
+
"step": 73
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.22,
|
| 475 |
+
"learning_rate": 0.00019795299412524945,
|
| 476 |
+
"loss": 0.6773,
|
| 477 |
+
"step": 74
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 0.22,
|
| 481 |
+
"learning_rate": 0.0001978887532321671,
|
| 482 |
+
"loss": 0.6469,
|
| 483 |
+
"step": 75
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 0.23,
|
| 487 |
+
"learning_rate": 0.000197823530571169,
|
| 488 |
+
"loss": 0.7272,
|
| 489 |
+
"step": 76
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.23,
|
| 493 |
+
"learning_rate": 0.00019775732679640093,
|
| 494 |
+
"loss": 0.7015,
|
| 495 |
+
"step": 77
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 0.23,
|
| 499 |
+
"learning_rate": 0.0001976901425718487,
|
| 500 |
+
"loss": 0.6973,
|
| 501 |
+
"step": 78
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.24,
|
| 505 |
+
"learning_rate": 0.00019762197857133148,
|
| 506 |
+
"loss": 0.6831,
|
| 507 |
+
"step": 79
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.24,
|
| 511 |
+
"learning_rate": 0.00019755283547849494,
|
| 512 |
+
"loss": 0.6742,
|
| 513 |
+
"step": 80
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.24,
|
| 517 |
+
"eval_loss": 1.0846511125564575,
|
| 518 |
+
"eval_runtime": 15.6885,
|
| 519 |
+
"eval_samples_per_second": 37.161,
|
| 520 |
+
"eval_steps_per_second": 18.612,
|
| 521 |
+
"step": 80
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.24,
|
| 525 |
+
"learning_rate": 0.0001974827139868046,
|
| 526 |
+
"loss": 0.683,
|
| 527 |
+
"step": 81
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.24,
|
| 531 |
+
"learning_rate": 0.0001974116147995387,
|
| 532 |
+
"loss": 0.7063,
|
| 533 |
+
"step": 82
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 0.25,
|
| 537 |
+
"learning_rate": 0.00019733953862978123,
|
| 538 |
+
"loss": 0.6963,
|
| 539 |
+
"step": 83
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 0.25,
|
| 543 |
+
"learning_rate": 0.00019726648620041468,
|
| 544 |
+
"loss": 0.7179,
|
| 545 |
+
"step": 84
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 0.25,
|
| 549 |
+
"learning_rate": 0.00019719245824411296,
|
| 550 |
+
"loss": 0.7315,
|
| 551 |
+
"step": 85
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 0.26,
|
| 555 |
+
"learning_rate": 0.0001971174555033339,
|
| 556 |
+
"loss": 0.6839,
|
| 557 |
+
"step": 86
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.26,
|
| 561 |
+
"learning_rate": 0.00019704147873031186,
|
| 562 |
+
"loss": 0.6917,
|
| 563 |
+
"step": 87
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.26,
|
| 567 |
+
"learning_rate": 0.00019696452868705024,
|
| 568 |
+
"loss": 0.6828,
|
| 569 |
+
"step": 88
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.27,
|
| 573 |
+
"learning_rate": 0.00019688660614531367,
|
| 574 |
+
"loss": 0.6965,
|
| 575 |
+
"step": 89
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 0.27,
|
| 579 |
+
"learning_rate": 0.00019680771188662044,
|
| 580 |
+
"loss": 0.6522,
|
| 581 |
+
"step": 90
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 0.27,
|
| 585 |
+
"learning_rate": 0.00019672784670223464,
|
| 586 |
+
"loss": 0.6939,
|
| 587 |
+
"step": 91
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 0.27,
|
| 591 |
+
"learning_rate": 0.0001966470113931582,
|
| 592 |
+
"loss": 0.7037,
|
| 593 |
+
"step": 92
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 0.28,
|
| 597 |
+
"learning_rate": 0.00019656520677012264,
|
| 598 |
+
"loss": 0.6903,
|
| 599 |
+
"step": 93
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.28,
|
| 603 |
+
"learning_rate": 0.00019648243365358146,
|
| 604 |
+
"loss": 0.706,
|
| 605 |
+
"step": 94
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.28,
|
| 609 |
+
"learning_rate": 0.0001963986928737014,
|
| 610 |
+
"loss": 0.6253,
|
| 611 |
+
"step": 95
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.29,
|
| 615 |
+
"learning_rate": 0.00019631398527035422,
|
| 616 |
+
"loss": 0.732,
|
| 617 |
+
"step": 96
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 0.29,
|
| 621 |
+
"learning_rate": 0.0001962283116931086,
|
| 622 |
+
"loss": 0.6935,
|
| 623 |
+
"step": 97
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 0.29,
|
| 627 |
+
"learning_rate": 0.00019614167300122126,
|
| 628 |
+
"loss": 0.731,
|
| 629 |
+
"step": 98
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 0.3,
|
| 633 |
+
"learning_rate": 0.0001960540700636284,
|
| 634 |
+
"loss": 0.6916,
|
| 635 |
+
"step": 99
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 0.3,
|
| 639 |
+
"learning_rate": 0.0001959655037589372,
|
| 640 |
+
"loss": 0.6995,
|
| 641 |
+
"step": 100
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.3,
|
| 645 |
+
"eval_loss": 1.0572510957717896,
|
| 646 |
+
"eval_runtime": 15.7086,
|
| 647 |
+
"eval_samples_per_second": 37.113,
|
| 648 |
+
"eval_steps_per_second": 18.588,
|
| 649 |
+
"step": 100
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 0.3,
|
| 653 |
+
"learning_rate": 0.0001958759749754167,
|
| 654 |
+
"loss": 0.7313,
|
| 655 |
+
"step": 101
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.3,
|
| 659 |
+
"learning_rate": 0.00019578548461098914,
|
| 660 |
+
"loss": 0.7337,
|
| 661 |
+
"step": 102
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.31,
|
| 665 |
+
"learning_rate": 0.0001956940335732209,
|
| 666 |
+
"loss": 0.6721,
|
| 667 |
+
"step": 103
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.31,
|
| 671 |
+
"learning_rate": 0.00019560162277931325,
|
| 672 |
+
"loss": 0.6907,
|
| 673 |
+
"step": 104
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 0.31,
|
| 677 |
+
"learning_rate": 0.0001955082531560934,
|
| 678 |
+
"loss": 0.6599,
|
| 679 |
+
"step": 105
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 0.32,
|
| 683 |
+
"learning_rate": 0.00019541392564000488,
|
| 684 |
+
"loss": 0.6941,
|
| 685 |
+
"step": 106
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 0.32,
|
| 689 |
+
"learning_rate": 0.00019531864117709855,
|
| 690 |
+
"loss": 0.7037,
|
| 691 |
+
"step": 107
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 0.32,
|
| 695 |
+
"learning_rate": 0.00019522240072302274,
|
| 696 |
+
"loss": 0.6819,
|
| 697 |
+
"step": 108
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.33,
|
| 701 |
+
"learning_rate": 0.00019512520524301387,
|
| 702 |
+
"loss": 0.6729,
|
| 703 |
+
"step": 109
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.33,
|
| 707 |
+
"learning_rate": 0.00019502705571188672,
|
| 708 |
+
"loss": 0.713,
|
| 709 |
+
"step": 110
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.33,
|
| 713 |
+
"learning_rate": 0.00019492795311402473,
|
| 714 |
+
"loss": 0.6638,
|
| 715 |
+
"step": 111
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 0.33,
|
| 719 |
+
"learning_rate": 0.0001948278984433699,
|
| 720 |
+
"loss": 0.647,
|
| 721 |
+
"step": 112
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 0.34,
|
| 725 |
+
"learning_rate": 0.00019472689270341303,
|
| 726 |
+
"loss": 0.614,
|
| 727 |
+
"step": 113
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 0.34,
|
| 731 |
+
"learning_rate": 0.0001946249369071837,
|
| 732 |
+
"loss": 0.6783,
|
| 733 |
+
"step": 114
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 0.34,
|
| 737 |
+
"learning_rate": 0.0001945220320772399,
|
| 738 |
+
"loss": 0.7093,
|
| 739 |
+
"step": 115
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 0.35,
|
| 743 |
+
"learning_rate": 0.00019441817924565786,
|
| 744 |
+
"loss": 0.7179,
|
| 745 |
+
"step": 116
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.35,
|
| 749 |
+
"learning_rate": 0.00019431337945402185,
|
| 750 |
+
"loss": 0.7241,
|
| 751 |
+
"step": 117
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.35,
|
| 755 |
+
"learning_rate": 0.0001942076337534135,
|
| 756 |
+
"loss": 0.7168,
|
| 757 |
+
"step": 118
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 0.36,
|
| 761 |
+
"learning_rate": 0.00019410094320440138,
|
| 762 |
+
"loss": 0.7127,
|
| 763 |
+
"step": 119
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 0.36,
|
| 767 |
+
"learning_rate": 0.00019399330887703037,
|
| 768 |
+
"loss": 0.6883,
|
| 769 |
+
"step": 120
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 0.36,
|
| 773 |
+
"eval_loss": 1.0412259101867676,
|
| 774 |
+
"eval_runtime": 15.6448,
|
| 775 |
+
"eval_samples_per_second": 37.265,
|
| 776 |
+
"eval_steps_per_second": 18.664,
|
| 777 |
+
"step": 120
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 0.36,
|
| 781 |
+
"learning_rate": 0.00019388473185081087,
|
| 782 |
+
"loss": 0.6663,
|
| 783 |
+
"step": 121
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 0.36,
|
| 787 |
+
"learning_rate": 0.00019377521321470805,
|
| 788 |
+
"loss": 0.7319,
|
| 789 |
+
"step": 122
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 0.37,
|
| 793 |
+
"learning_rate": 0.00019366475406713086,
|
| 794 |
+
"loss": 0.6942,
|
| 795 |
+
"step": 123
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 0.37,
|
| 799 |
+
"learning_rate": 0.00019355335551592105,
|
| 800 |
+
"loss": 0.6847,
|
| 801 |
+
"step": 124
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.37,
|
| 805 |
+
"learning_rate": 0.000193441018678342,
|
| 806 |
+
"loss": 0.6732,
|
| 807 |
+
"step": 125
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.38,
|
| 811 |
+
"learning_rate": 0.00019332774468106768,
|
| 812 |
+
"loss": 0.6661,
|
| 813 |
+
"step": 126
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 0.38,
|
| 817 |
+
"learning_rate": 0.00019321353466017108,
|
| 818 |
+
"loss": 0.7044,
|
| 819 |
+
"step": 127
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 0.38,
|
| 823 |
+
"learning_rate": 0.00019309838976111311,
|
| 824 |
+
"loss": 0.6794,
|
| 825 |
+
"step": 128
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 0.39,
|
| 829 |
+
"learning_rate": 0.00019298231113873087,
|
| 830 |
+
"loss": 0.7275,
|
| 831 |
+
"step": 129
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 0.39,
|
| 835 |
+
"learning_rate": 0.00019286529995722623,
|
| 836 |
+
"loss": 0.685,
|
| 837 |
+
"step": 130
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 0.39,
|
| 841 |
+
"learning_rate": 0.00019274735739015404,
|
| 842 |
+
"loss": 0.6825,
|
| 843 |
+
"step": 131
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.39,
|
| 847 |
+
"learning_rate": 0.00019262848462041045,
|
| 848 |
+
"loss": 0.6857,
|
| 849 |
+
"step": 132
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.4,
|
| 853 |
+
"learning_rate": 0.000192508682840221,
|
| 854 |
+
"loss": 0.7139,
|
| 855 |
+
"step": 133
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 0.4,
|
| 859 |
+
"learning_rate": 0.0001923879532511287,
|
| 860 |
+
"loss": 0.6413,
|
| 861 |
+
"step": 134
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 0.4,
|
| 865 |
+
"learning_rate": 0.00019226629706398186,
|
| 866 |
+
"loss": 0.7257,
|
| 867 |
+
"step": 135
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 0.41,
|
| 871 |
+
"learning_rate": 0.0001921437154989221,
|
| 872 |
+
"loss": 0.6365,
|
| 873 |
+
"step": 136
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.41,
|
| 877 |
+
"learning_rate": 0.00019202020978537207,
|
| 878 |
+
"loss": 0.66,
|
| 879 |
+
"step": 137
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 0.41,
|
| 883 |
+
"learning_rate": 0.00019189578116202307,
|
| 884 |
+
"loss": 0.6525,
|
| 885 |
+
"step": 138
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.42,
|
| 889 |
+
"learning_rate": 0.00019177043087682265,
|
| 890 |
+
"loss": 0.6438,
|
| 891 |
+
"step": 139
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.42,
|
| 895 |
+
"learning_rate": 0.00019164416018696207,
|
| 896 |
+
"loss": 0.6437,
|
| 897 |
+
"step": 140
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 0.42,
|
| 901 |
+
"eval_loss": 1.0374538898468018,
|
| 902 |
+
"eval_runtime": 15.6903,
|
| 903 |
+
"eval_samples_per_second": 37.157,
|
| 904 |
+
"eval_steps_per_second": 18.61,
|
| 905 |
+
"step": 140
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.42,
|
| 909 |
+
"learning_rate": 0.00019151697035886382,
|
| 910 |
+
"loss": 0.6878,
|
| 911 |
+
"step": 141
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 0.42,
|
| 915 |
+
"learning_rate": 0.00019138886266816866,
|
| 916 |
+
"loss": 0.7072,
|
| 917 |
+
"step": 142
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 0.43,
|
| 921 |
+
"learning_rate": 0.00019125983839972317,
|
| 922 |
+
"loss": 0.69,
|
| 923 |
+
"step": 143
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 0.43,
|
| 927 |
+
"learning_rate": 0.00019112989884756653,
|
| 928 |
+
"loss": 0.7666,
|
| 929 |
+
"step": 144
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 0.43,
|
| 933 |
+
"learning_rate": 0.00019099904531491774,
|
| 934 |
+
"loss": 0.689,
|
| 935 |
+
"step": 145
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 0.44,
|
| 939 |
+
"learning_rate": 0.0001908672791141625,
|
| 940 |
+
"loss": 0.7394,
|
| 941 |
+
"step": 146
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.44,
|
| 945 |
+
"learning_rate": 0.0001907346015668401,
|
| 946 |
+
"loss": 0.6882,
|
| 947 |
+
"step": 147
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.44,
|
| 951 |
+
"learning_rate": 0.00019060101400362998,
|
| 952 |
+
"loss": 0.6394,
|
| 953 |
+
"step": 148
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 0.45,
|
| 957 |
+
"learning_rate": 0.00019046651776433862,
|
| 958 |
+
"loss": 0.6932,
|
| 959 |
+
"step": 149
|
| 960 |
+
},
|
| 961 |
+
{
|
| 962 |
+
"epoch": 0.45,
|
| 963 |
+
"learning_rate": 0.00019033111419788597,
|
| 964 |
+
"loss": 0.6676,
|
| 965 |
+
"step": 150
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"epoch": 0.45,
|
| 969 |
+
"learning_rate": 0.00019019480466229201,
|
| 970 |
+
"loss": 0.6818,
|
| 971 |
+
"step": 151
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 0.45,
|
| 975 |
+
"learning_rate": 0.000190057590524663,
|
| 976 |
+
"loss": 0.6695,
|
| 977 |
+
"step": 152
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 0.46,
|
| 981 |
+
"learning_rate": 0.0001899194731611778,
|
| 982 |
+
"loss": 0.7082,
|
| 983 |
+
"step": 153
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.46,
|
| 987 |
+
"learning_rate": 0.00018978045395707418,
|
| 988 |
+
"loss": 0.6626,
|
| 989 |
+
"step": 154
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.46,
|
| 993 |
+
"learning_rate": 0.00018964053430663483,
|
| 994 |
+
"loss": 0.6708,
|
| 995 |
+
"step": 155
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"epoch": 0.47,
|
| 999 |
+
"learning_rate": 0.0001894997156131734,
|
| 1000 |
+
"loss": 0.7864,
|
| 1001 |
+
"step": 156
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 0.47,
|
| 1005 |
+
"learning_rate": 0.00018935799928902045,
|
| 1006 |
+
"loss": 0.6899,
|
| 1007 |
+
"step": 157
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 0.47,
|
| 1011 |
+
"learning_rate": 0.0001892153867555092,
|
| 1012 |
+
"loss": 0.6574,
|
| 1013 |
+
"step": 158
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 0.47,
|
| 1017 |
+
"learning_rate": 0.00018907187944296137,
|
| 1018 |
+
"loss": 0.7157,
|
| 1019 |
+
"step": 159
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 0.48,
|
| 1023 |
+
"learning_rate": 0.00018892747879067286,
|
| 1024 |
+
"loss": 0.6331,
|
| 1025 |
+
"step": 160
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.48,
|
| 1029 |
+
"eval_loss": 1.0186299085617065,
|
| 1030 |
+
"eval_runtime": 15.6809,
|
| 1031 |
+
"eval_samples_per_second": 37.179,
|
| 1032 |
+
"eval_steps_per_second": 18.621,
|
| 1033 |
+
"step": 160
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 0.48,
|
| 1037 |
+
"learning_rate": 0.0001887821862468991,
|
| 1038 |
+
"loss": 0.7219,
|
| 1039 |
+
"step": 161
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.48,
|
| 1043 |
+
"learning_rate": 0.00018863600326884082,
|
| 1044 |
+
"loss": 0.7203,
|
| 1045 |
+
"step": 162
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.49,
|
| 1049 |
+
"learning_rate": 0.00018848893132262926,
|
| 1050 |
+
"loss": 0.6722,
|
| 1051 |
+
"step": 163
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"epoch": 0.49,
|
| 1055 |
+
"learning_rate": 0.00018834097188331143,
|
| 1056 |
+
"loss": 0.7223,
|
| 1057 |
+
"step": 164
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"epoch": 0.49,
|
| 1061 |
+
"learning_rate": 0.0001881921264348355,
|
| 1062 |
+
"loss": 0.659,
|
| 1063 |
+
"step": 165
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 0.5,
|
| 1067 |
+
"learning_rate": 0.00018804239647003573,
|
| 1068 |
+
"loss": 0.6763,
|
| 1069 |
+
"step": 166
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 0.5,
|
| 1073 |
+
"learning_rate": 0.00018789178349061753,
|
| 1074 |
+
"loss": 0.649,
|
| 1075 |
+
"step": 167
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 0.5,
|
| 1079 |
+
"learning_rate": 0.00018774028900714256,
|
| 1080 |
+
"loss": 0.6762,
|
| 1081 |
+
"step": 168
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.5,
|
| 1085 |
+
"learning_rate": 0.00018758791453901336,
|
| 1086 |
+
"loss": 0.6547,
|
| 1087 |
+
"step": 169
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.51,
|
| 1091 |
+
"learning_rate": 0.00018743466161445823,
|
| 1092 |
+
"loss": 0.6516,
|
| 1093 |
+
"step": 170
|
| 1094 |
+
},
|
| 1095 |
+
{
|
| 1096 |
+
"epoch": 0.51,
|
| 1097 |
+
"learning_rate": 0.0001872805317705159,
|
| 1098 |
+
"loss": 0.6479,
|
| 1099 |
+
"step": 171
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"epoch": 0.51,
|
| 1103 |
+
"learning_rate": 0.0001871255265530201,
|
| 1104 |
+
"loss": 0.6986,
|
| 1105 |
+
"step": 172
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 0.52,
|
| 1109 |
+
"learning_rate": 0.00018696964751658404,
|
| 1110 |
+
"loss": 0.7402,
|
| 1111 |
+
"step": 173
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 0.52,
|
| 1115 |
+
"learning_rate": 0.00018681289622458485,
|
| 1116 |
+
"loss": 0.6629,
|
| 1117 |
+
"step": 174
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 0.52,
|
| 1121 |
+
"learning_rate": 0.00018665527424914787,
|
| 1122 |
+
"loss": 0.6761,
|
| 1123 |
+
"step": 175
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.53,
|
| 1127 |
+
"learning_rate": 0.00018649678317113084,
|
| 1128 |
+
"loss": 0.6746,
|
| 1129 |
+
"step": 176
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.53,
|
| 1133 |
+
"learning_rate": 0.0001863374245801082,
|
| 1134 |
+
"loss": 0.67,
|
| 1135 |
+
"step": 177
|
| 1136 |
+
},
|
| 1137 |
+
{
|
| 1138 |
+
"epoch": 0.53,
|
| 1139 |
+
"learning_rate": 0.00018617720007435497,
|
| 1140 |
+
"loss": 0.7406,
|
| 1141 |
+
"step": 178
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"epoch": 0.53,
|
| 1145 |
+
"learning_rate": 0.00018601611126083087,
|
| 1146 |
+
"loss": 0.6735,
|
| 1147 |
+
"step": 179
|
| 1148 |
+
},
|
| 1149 |
+
{
|
| 1150 |
+
"epoch": 0.54,
|
| 1151 |
+
"learning_rate": 0.000185854159755164,
|
| 1152 |
+
"loss": 0.6686,
|
| 1153 |
+
"step": 180
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 0.54,
|
| 1157 |
+
"eval_loss": 1.0153461694717407,
|
| 1158 |
+
"eval_runtime": 15.6769,
|
| 1159 |
+
"eval_samples_per_second": 37.189,
|
| 1160 |
+
"eval_steps_per_second": 18.626,
|
| 1161 |
+
"step": 180
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 0.54,
|
| 1165 |
+
"learning_rate": 0.00018569134718163496,
|
| 1166 |
+
"loss": 0.6416,
|
| 1167 |
+
"step": 181
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 0.54,
|
| 1171 |
+
"learning_rate": 0.00018552767517316022,
|
| 1172 |
+
"loss": 0.6456,
|
| 1173 |
+
"step": 182
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 0.55,
|
| 1177 |
+
"learning_rate": 0.00018536314537127586,
|
| 1178 |
+
"loss": 0.6794,
|
| 1179 |
+
"step": 183
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.55,
|
| 1183 |
+
"learning_rate": 0.00018519775942612128,
|
| 1184 |
+
"loss": 0.6754,
|
| 1185 |
+
"step": 184
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.55,
|
| 1189 |
+
"learning_rate": 0.00018503151899642236,
|
| 1190 |
+
"loss": 0.6251,
|
| 1191 |
+
"step": 185
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"epoch": 0.56,
|
| 1195 |
+
"learning_rate": 0.00018486442574947511,
|
| 1196 |
+
"loss": 0.7354,
|
| 1197 |
+
"step": 186
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"epoch": 0.56,
|
| 1201 |
+
"learning_rate": 0.00018469648136112867,
|
| 1202 |
+
"loss": 0.6457,
|
| 1203 |
+
"step": 187
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"epoch": 0.56,
|
| 1207 |
+
"learning_rate": 0.0001845276875157687,
|
| 1208 |
+
"loss": 0.6823,
|
| 1209 |
+
"step": 188
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 0.56,
|
| 1213 |
+
"learning_rate": 0.00018435804590630043,
|
| 1214 |
+
"loss": 0.6891,
|
| 1215 |
+
"step": 189
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 0.57,
|
| 1219 |
+
"learning_rate": 0.0001841875582341317,
|
| 1220 |
+
"loss": 0.6731,
|
| 1221 |
+
"step": 190
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.57,
|
| 1225 |
+
"learning_rate": 0.00018401622620915583,
|
| 1226 |
+
"loss": 0.6857,
|
| 1227 |
+
"step": 191
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.57,
|
| 1231 |
+
"learning_rate": 0.0001838440515497345,
|
| 1232 |
+
"loss": 0.6807,
|
| 1233 |
+
"step": 192
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 0.58,
|
| 1237 |
+
"learning_rate": 0.0001836710359826806,
|
| 1238 |
+
"loss": 0.6622,
|
| 1239 |
+
"step": 193
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 0.58,
|
| 1243 |
+
"learning_rate": 0.00018349718124324076,
|
| 1244 |
+
"loss": 0.6628,
|
| 1245 |
+
"step": 194
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 0.58,
|
| 1249 |
+
"learning_rate": 0.00018332248907507807,
|
| 1250 |
+
"loss": 0.724,
|
| 1251 |
+
"step": 195
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 0.59,
|
| 1255 |
+
"learning_rate": 0.00018314696123025454,
|
| 1256 |
+
"loss": 0.675,
|
| 1257 |
+
"step": 196
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 0.59,
|
| 1261 |
+
"learning_rate": 0.00018297059946921355,
|
| 1262 |
+
"loss": 0.677,
|
| 1263 |
+
"step": 197
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.59,
|
| 1267 |
+
"learning_rate": 0.00018279340556076216,
|
| 1268 |
+
"loss": 0.6555,
|
| 1269 |
+
"step": 198
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.59,
|
| 1273 |
+
"learning_rate": 0.0001826153812820534,
|
| 1274 |
+
"loss": 0.6273,
|
| 1275 |
+
"step": 199
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 0.6,
|
| 1279 |
+
"learning_rate": 0.0001824365284185684,
|
| 1280 |
+
"loss": 0.6767,
|
| 1281 |
+
"step": 200
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 0.6,
|
| 1285 |
+
"eval_loss": 1.004173994064331,
|
| 1286 |
+
"eval_runtime": 15.726,
|
| 1287 |
+
"eval_samples_per_second": 37.072,
|
| 1288 |
+
"eval_steps_per_second": 18.568,
|
| 1289 |
+
"step": 200
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"epoch": 0.6,
|
| 1293 |
+
"learning_rate": 0.00018225684876409863,
|
| 1294 |
+
"loss": 0.6719,
|
| 1295 |
+
"step": 201
|
| 1296 |
+
},
|
| 1297 |
+
{
|
| 1298 |
+
"epoch": 0.6,
|
| 1299 |
+
"learning_rate": 0.00018207634412072764,
|
| 1300 |
+
"loss": 0.6522,
|
| 1301 |
+
"step": 202
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 0.61,
|
| 1305 |
+
"learning_rate": 0.0001818950162988133,
|
| 1306 |
+
"loss": 0.6957,
|
| 1307 |
+
"step": 203
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 0.61,
|
| 1311 |
+
"learning_rate": 0.00018171286711696934,
|
| 1312 |
+
"loss": 0.7013,
|
| 1313 |
+
"step": 204
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 0.61,
|
| 1317 |
+
"learning_rate": 0.00018152989840204735,
|
| 1318 |
+
"loss": 0.6603,
|
| 1319 |
+
"step": 205
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.62,
|
| 1323 |
+
"learning_rate": 0.0001813461119891184,
|
| 1324 |
+
"loss": 0.6788,
|
| 1325 |
+
"step": 206
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.62,
|
| 1329 |
+
"learning_rate": 0.0001811615097214545,
|
| 1330 |
+
"loss": 0.6795,
|
| 1331 |
+
"step": 207
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"epoch": 0.62,
|
| 1335 |
+
"learning_rate": 0.00018097609345051025,
|
| 1336 |
+
"loss": 0.6458,
|
| 1337 |
+
"step": 208
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 0.62,
|
| 1341 |
+
"learning_rate": 0.00018078986503590428,
|
| 1342 |
+
"loss": 0.6741,
|
| 1343 |
+
"step": 209
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 0.63,
|
| 1347 |
+
"learning_rate": 0.00018060282634540053,
|
| 1348 |
+
"loss": 0.6537,
|
| 1349 |
+
"step": 210
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 0.63,
|
| 1353 |
+
"learning_rate": 0.0001804149792548895,
|
| 1354 |
+
"loss": 0.6501,
|
| 1355 |
+
"step": 211
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 0.63,
|
| 1359 |
+
"learning_rate": 0.00018022632564836948,
|
| 1360 |
+
"loss": 0.673,
|
| 1361 |
+
"step": 212
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.64,
|
| 1365 |
+
"learning_rate": 0.00018003686741792772,
|
| 1366 |
+
"loss": 0.6746,
|
| 1367 |
+
"step": 213
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.64,
|
| 1371 |
+
"learning_rate": 0.0001798466064637214,
|
| 1372 |
+
"loss": 0.6329,
|
| 1373 |
+
"step": 214
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 0.64,
|
| 1377 |
+
"learning_rate": 0.00017965554469395837,
|
| 1378 |
+
"loss": 0.69,
|
| 1379 |
+
"step": 215
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 0.65,
|
| 1383 |
+
"learning_rate": 0.00017946368402487845,
|
| 1384 |
+
"loss": 0.6513,
|
| 1385 |
+
"step": 216
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 0.65,
|
| 1389 |
+
"learning_rate": 0.00017927102638073383,
|
| 1390 |
+
"loss": 0.6758,
|
| 1391 |
+
"step": 217
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 0.65,
|
| 1395 |
+
"learning_rate": 0.00017907757369376985,
|
| 1396 |
+
"loss": 0.6776,
|
| 1397 |
+
"step": 218
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 0.65,
|
| 1401 |
+
"learning_rate": 0.00017888332790420584,
|
| 1402 |
+
"loss": 0.6487,
|
| 1403 |
+
"step": 219
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.66,
|
| 1407 |
+
"learning_rate": 0.00017868829096021527,
|
| 1408 |
+
"loss": 0.7037,
|
| 1409 |
+
"step": 220
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.66,
|
| 1413 |
+
"eval_loss": 1.002336025238037,
|
| 1414 |
+
"eval_runtime": 17.4124,
|
| 1415 |
+
"eval_samples_per_second": 33.482,
|
| 1416 |
+
"eval_steps_per_second": 16.77,
|
| 1417 |
+
"step": 220
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.66,
|
| 1421 |
+
"learning_rate": 0.00017849246481790664,
|
| 1422 |
+
"loss": 0.71,
|
| 1423 |
+
"step": 221
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.66,
|
| 1427 |
+
"learning_rate": 0.00017829585144130356,
|
| 1428 |
+
"loss": 0.6695,
|
| 1429 |
+
"step": 222
|
| 1430 |
+
},
|
| 1431 |
+
{
|
| 1432 |
+
"epoch": 0.67,
|
| 1433 |
+
"learning_rate": 0.00017809845280232514,
|
| 1434 |
+
"loss": 0.6645,
|
| 1435 |
+
"step": 223
|
| 1436 |
+
},
|
| 1437 |
+
{
|
| 1438 |
+
"epoch": 0.67,
|
| 1439 |
+
"learning_rate": 0.0001779002708807662,
|
| 1440 |
+
"loss": 0.6983,
|
| 1441 |
+
"step": 224
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 0.67,
|
| 1445 |
+
"learning_rate": 0.0001777013076642776,
|
| 1446 |
+
"loss": 0.6785,
|
| 1447 |
+
"step": 225
|
| 1448 |
+
},
|
| 1449 |
+
{
|
| 1450 |
+
"epoch": 0.68,
|
| 1451 |
+
"learning_rate": 0.0001775015651483459,
|
| 1452 |
+
"loss": 0.6791,
|
| 1453 |
+
"step": 226
|
| 1454 |
+
},
|
| 1455 |
+
{
|
| 1456 |
+
"epoch": 0.68,
|
| 1457 |
+
"learning_rate": 0.0001773010453362737,
|
| 1458 |
+
"loss": 0.695,
|
| 1459 |
+
"step": 227
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.68,
|
| 1463 |
+
"learning_rate": 0.00017709975023915949,
|
| 1464 |
+
"loss": 0.6352,
|
| 1465 |
+
"step": 228
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.68,
|
| 1469 |
+
"learning_rate": 0.00017689768187587732,
|
| 1470 |
+
"loss": 0.6911,
|
| 1471 |
+
"step": 229
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
"epoch": 0.69,
|
| 1475 |
+
"learning_rate": 0.0001766948422730567,
|
| 1476 |
+
"loss": 0.7189,
|
| 1477 |
+
"step": 230
|
| 1478 |
+
},
|
| 1479 |
+
{
|
| 1480 |
+
"epoch": 0.69,
|
| 1481 |
+
"learning_rate": 0.00017649123346506223,
|
| 1482 |
+
"loss": 0.6838,
|
| 1483 |
+
"step": 231
|
| 1484 |
+
},
|
| 1485 |
+
{
|
| 1486 |
+
"epoch": 0.69,
|
| 1487 |
+
"learning_rate": 0.0001762868574939732,
|
| 1488 |
+
"loss": 0.7209,
|
| 1489 |
+
"step": 232
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"epoch": 0.7,
|
| 1493 |
+
"learning_rate": 0.00017608171640956313,
|
| 1494 |
+
"loss": 0.6719,
|
| 1495 |
+
"step": 233
|
| 1496 |
+
},
|
| 1497 |
+
{
|
| 1498 |
+
"epoch": 0.7,
|
| 1499 |
+
"learning_rate": 0.0001758758122692791,
|
| 1500 |
+
"loss": 0.6624,
|
| 1501 |
+
"step": 234
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.7,
|
| 1505 |
+
"learning_rate": 0.0001756691471382213,
|
| 1506 |
+
"loss": 0.637,
|
| 1507 |
+
"step": 235
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.71,
|
| 1511 |
+
"learning_rate": 0.00017546172308912213,
|
| 1512 |
+
"loss": 0.653,
|
| 1513 |
+
"step": 236
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"epoch": 0.71,
|
| 1517 |
+
"learning_rate": 0.0001752535422023256,
|
| 1518 |
+
"loss": 0.6368,
|
| 1519 |
+
"step": 237
|
| 1520 |
+
},
|
| 1521 |
+
{
|
| 1522 |
+
"epoch": 0.71,
|
| 1523 |
+
"learning_rate": 0.00017504460656576627,
|
| 1524 |
+
"loss": 0.6713,
|
| 1525 |
+
"step": 238
|
| 1526 |
+
},
|
| 1527 |
+
{
|
| 1528 |
+
"epoch": 0.71,
|
| 1529 |
+
"learning_rate": 0.00017483491827494847,
|
| 1530 |
+
"loss": 0.6614,
|
| 1531 |
+
"step": 239
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"epoch": 0.72,
|
| 1535 |
+
"learning_rate": 0.0001746244794329252,
|
| 1536 |
+
"loss": 0.6994,
|
| 1537 |
+
"step": 240
|
| 1538 |
+
},
|
| 1539 |
+
{
|
| 1540 |
+
"epoch": 0.72,
|
| 1541 |
+
"eval_loss": 1.0014034509658813,
|
| 1542 |
+
"eval_runtime": 15.6575,
|
| 1543 |
+
"eval_samples_per_second": 37.235,
|
| 1544 |
+
"eval_steps_per_second": 18.649,
|
| 1545 |
+
"step": 240
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 0.72,
|
| 1549 |
+
"learning_rate": 0.00017441329215027706,
|
| 1550 |
+
"loss": 0.6644,
|
| 1551 |
+
"step": 241
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"epoch": 0.72,
|
| 1555 |
+
"learning_rate": 0.0001742013585450911,
|
| 1556 |
+
"loss": 0.6374,
|
| 1557 |
+
"step": 242
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.73,
|
| 1561 |
+
"learning_rate": 0.00017398868074293948,
|
| 1562 |
+
"loss": 0.6627,
|
| 1563 |
+
"step": 243
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.73,
|
| 1567 |
+
"learning_rate": 0.00017377526087685832,
|
| 1568 |
+
"loss": 0.6936,
|
| 1569 |
+
"step": 244
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 0.73,
|
| 1573 |
+
"learning_rate": 0.00017356110108732617,
|
| 1574 |
+
"loss": 0.6419,
|
| 1575 |
+
"step": 245
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 0.73,
|
| 1579 |
+
"learning_rate": 0.0001733462035222426,
|
| 1580 |
+
"loss": 0.6402,
|
| 1581 |
+
"step": 246
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 0.74,
|
| 1585 |
+
"learning_rate": 0.0001731305703369066,
|
| 1586 |
+
"loss": 0.7028,
|
| 1587 |
+
"step": 247
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"epoch": 0.74,
|
| 1591 |
+
"learning_rate": 0.0001729142036939951,
|
| 1592 |
+
"loss": 0.6146,
|
| 1593 |
+
"step": 248
|
| 1594 |
+
},
|
| 1595 |
+
{
|
| 1596 |
+
"epoch": 0.74,
|
| 1597 |
+
"learning_rate": 0.0001726971057635411,
|
| 1598 |
+
"loss": 0.6702,
|
| 1599 |
+
"step": 249
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.75,
|
| 1603 |
+
"learning_rate": 0.000172479278722912,
|
| 1604 |
+
"loss": 0.6971,
|
| 1605 |
+
"step": 250
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.75,
|
| 1609 |
+
"learning_rate": 0.00017226072475678782,
|
| 1610 |
+
"loss": 0.6289,
|
| 1611 |
+
"step": 251
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 0.75,
|
| 1615 |
+
"learning_rate": 0.0001720414460571392,
|
| 1616 |
+
"loss": 0.6786,
|
| 1617 |
+
"step": 252
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"epoch": 0.76,
|
| 1621 |
+
"learning_rate": 0.0001718214448232054,
|
| 1622 |
+
"loss": 0.6599,
|
| 1623 |
+
"step": 253
|
| 1624 |
+
},
|
| 1625 |
+
{
|
| 1626 |
+
"epoch": 0.76,
|
| 1627 |
+
"learning_rate": 0.0001716007232614723,
|
| 1628 |
+
"loss": 0.656,
|
| 1629 |
+
"step": 254
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"epoch": 0.76,
|
| 1633 |
+
"learning_rate": 0.00017137928358565028,
|
| 1634 |
+
"loss": 0.7092,
|
| 1635 |
+
"step": 255
|
| 1636 |
+
},
|
| 1637 |
+
{
|
| 1638 |
+
"epoch": 0.76,
|
| 1639 |
+
"learning_rate": 0.000171157128016652,
|
| 1640 |
+
"loss": 0.6596,
|
| 1641 |
+
"step": 256
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.77,
|
| 1645 |
+
"learning_rate": 0.00017093425878257005,
|
| 1646 |
+
"loss": 0.6937,
|
| 1647 |
+
"step": 257
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.77,
|
| 1651 |
+
"learning_rate": 0.00017071067811865476,
|
| 1652 |
+
"loss": 0.7027,
|
| 1653 |
+
"step": 258
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 0.77,
|
| 1657 |
+
"learning_rate": 0.00017048638826729163,
|
| 1658 |
+
"loss": 0.6776,
|
| 1659 |
+
"step": 259
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 0.78,
|
| 1663 |
+
"learning_rate": 0.0001702613914779789,
|
| 1664 |
+
"loss": 0.7012,
|
| 1665 |
+
"step": 260
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 0.78,
|
| 1669 |
+
"eval_loss": 0.9995876550674438,
|
| 1670 |
+
"eval_runtime": 15.664,
|
| 1671 |
+
"eval_samples_per_second": 37.219,
|
| 1672 |
+
"eval_steps_per_second": 18.641,
|
| 1673 |
+
"step": 260
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 0.78,
|
| 1677 |
+
"learning_rate": 0.00017003569000730498,
|
| 1678 |
+
"loss": 0.6786,
|
| 1679 |
+
"step": 261
|
| 1680 |
+
},
|
| 1681 |
+
{
|
| 1682 |
+
"epoch": 0.78,
|
| 1683 |
+
"learning_rate": 0.0001698092861189259,
|
| 1684 |
+
"loss": 0.7071,
|
| 1685 |
+
"step": 262
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 0.79,
|
| 1689 |
+
"learning_rate": 0.00016958218208354252,
|
| 1690 |
+
"loss": 0.6556,
|
| 1691 |
+
"step": 263
|
| 1692 |
+
},
|
| 1693 |
+
{
|
| 1694 |
+
"epoch": 0.79,
|
| 1695 |
+
"learning_rate": 0.00016935438017887772,
|
| 1696 |
+
"loss": 0.6418,
|
| 1697 |
+
"step": 264
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.79,
|
| 1701 |
+
"learning_rate": 0.0001691258826896536,
|
| 1702 |
+
"loss": 0.6726,
|
| 1703 |
+
"step": 265
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.79,
|
| 1707 |
+
"learning_rate": 0.00016889669190756868,
|
| 1708 |
+
"loss": 0.6514,
|
| 1709 |
+
"step": 266
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"epoch": 0.8,
|
| 1713 |
+
"learning_rate": 0.00016866681013127466,
|
| 1714 |
+
"loss": 0.6914,
|
| 1715 |
+
"step": 267
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 0.8,
|
| 1719 |
+
"learning_rate": 0.00016843623966635366,
|
| 1720 |
+
"loss": 0.6884,
|
| 1721 |
+
"step": 268
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 0.8,
|
| 1725 |
+
"learning_rate": 0.00016820498282529479,
|
| 1726 |
+
"loss": 0.6624,
|
| 1727 |
+
"step": 269
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"epoch": 0.81,
|
| 1731 |
+
"learning_rate": 0.0001679730419274713,
|
| 1732 |
+
"loss": 0.7241,
|
| 1733 |
+
"step": 270
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"epoch": 0.81,
|
| 1737 |
+
"learning_rate": 0.00016774041929911698,
|
| 1738 |
+
"loss": 0.6923,
|
| 1739 |
+
"step": 271
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.81,
|
| 1743 |
+
"learning_rate": 0.0001675071172733031,
|
| 1744 |
+
"loss": 0.6817,
|
| 1745 |
+
"step": 272
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.82,
|
| 1749 |
+
"learning_rate": 0.00016727313818991487,
|
| 1750 |
+
"loss": 0.7042,
|
| 1751 |
+
"step": 273
|
| 1752 |
+
},
|
| 1753 |
+
{
|
| 1754 |
+
"epoch": 0.82,
|
| 1755 |
+
"learning_rate": 0.00016703848439562785,
|
| 1756 |
+
"loss": 0.66,
|
| 1757 |
+
"step": 274
|
| 1758 |
+
},
|
| 1759 |
+
{
|
| 1760 |
+
"epoch": 0.82,
|
| 1761 |
+
"learning_rate": 0.00016680315824388483,
|
| 1762 |
+
"loss": 0.662,
|
| 1763 |
+
"step": 275
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 0.82,
|
| 1767 |
+
"learning_rate": 0.00016656716209487174,
|
| 1768 |
+
"loss": 0.6174,
|
| 1769 |
+
"step": 276
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 0.83,
|
| 1773 |
+
"learning_rate": 0.00016633049831549424,
|
| 1774 |
+
"loss": 0.6684,
|
| 1775 |
+
"step": 277
|
| 1776 |
+
},
|
| 1777 |
+
{
|
| 1778 |
+
"epoch": 0.83,
|
| 1779 |
+
"learning_rate": 0.0001660931692793541,
|
| 1780 |
+
"loss": 0.6581,
|
| 1781 |
+
"step": 278
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 0.83,
|
| 1785 |
+
"learning_rate": 0.00016585517736672498,
|
| 1786 |
+
"loss": 0.6835,
|
| 1787 |
+
"step": 279
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.84,
|
| 1791 |
+
"learning_rate": 0.000165616524964529,
|
| 1792 |
+
"loss": 0.6599,
|
| 1793 |
+
"step": 280
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"epoch": 0.84,
|
| 1797 |
+
"eval_loss": 0.9926242828369141,
|
| 1798 |
+
"eval_runtime": 15.669,
|
| 1799 |
+
"eval_samples_per_second": 37.207,
|
| 1800 |
+
"eval_steps_per_second": 18.636,
|
| 1801 |
+
"step": 280
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.84,
|
| 1805 |
+
"learning_rate": 0.00016537721446631252,
|
| 1806 |
+
"loss": 0.6619,
|
| 1807 |
+
"step": 281
|
| 1808 |
+
},
|
| 1809 |
+
{
|
| 1810 |
+
"epoch": 0.84,
|
| 1811 |
+
"learning_rate": 0.00016513724827222227,
|
| 1812 |
+
"loss": 0.6557,
|
| 1813 |
+
"step": 282
|
| 1814 |
+
},
|
| 1815 |
+
{
|
| 1816 |
+
"epoch": 0.85,
|
| 1817 |
+
"learning_rate": 0.00016489662878898113,
|
| 1818 |
+
"loss": 0.6577,
|
| 1819 |
+
"step": 283
|
| 1820 |
+
},
|
| 1821 |
+
{
|
| 1822 |
+
"epoch": 0.85,
|
| 1823 |
+
"learning_rate": 0.00016465535842986434,
|
| 1824 |
+
"loss": 0.6423,
|
| 1825 |
+
"step": 284
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"epoch": 0.85,
|
| 1829 |
+
"learning_rate": 0.00016441343961467471,
|
| 1830 |
+
"loss": 0.6472,
|
| 1831 |
+
"step": 285
|
| 1832 |
+
},
|
| 1833 |
+
{
|
| 1834 |
+
"epoch": 0.85,
|
| 1835 |
+
"learning_rate": 0.000164170874769719,
|
| 1836 |
+
"loss": 0.6434,
|
| 1837 |
+
"step": 286
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 0.86,
|
| 1841 |
+
"learning_rate": 0.00016392766632778312,
|
| 1842 |
+
"loss": 0.6461,
|
| 1843 |
+
"step": 287
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.86,
|
| 1847 |
+
"learning_rate": 0.00016368381672810786,
|
| 1848 |
+
"loss": 0.6857,
|
| 1849 |
+
"step": 288
|
| 1850 |
+
},
|
| 1851 |
+
{
|
| 1852 |
+
"epoch": 0.86,
|
| 1853 |
+
"learning_rate": 0.00016343932841636456,
|
| 1854 |
+
"loss": 0.6927,
|
| 1855 |
+
"step": 289
|
| 1856 |
+
},
|
| 1857 |
+
{
|
| 1858 |
+
"epoch": 0.87,
|
| 1859 |
+
"learning_rate": 0.0001631942038446304,
|
| 1860 |
+
"loss": 0.6263,
|
| 1861 |
+
"step": 290
|
| 1862 |
+
},
|
| 1863 |
+
{
|
| 1864 |
+
"epoch": 0.87,
|
| 1865 |
+
"learning_rate": 0.00016294844547136395,
|
| 1866 |
+
"loss": 0.6857,
|
| 1867 |
+
"step": 291
|
| 1868 |
+
},
|
| 1869 |
+
{
|
| 1870 |
+
"epoch": 0.87,
|
| 1871 |
+
"learning_rate": 0.00016270205576138032,
|
| 1872 |
+
"loss": 0.682,
|
| 1873 |
+
"step": 292
|
| 1874 |
+
},
|
| 1875 |
+
{
|
| 1876 |
+
"epoch": 0.88,
|
| 1877 |
+
"learning_rate": 0.0001624550371858267,
|
| 1878 |
+
"loss": 0.6964,
|
| 1879 |
+
"step": 293
|
| 1880 |
+
},
|
| 1881 |
+
{
|
| 1882 |
+
"epoch": 0.88,
|
| 1883 |
+
"learning_rate": 0.00016220739222215738,
|
| 1884 |
+
"loss": 0.6261,
|
| 1885 |
+
"step": 294
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 0.88,
|
| 1889 |
+
"learning_rate": 0.00016195912335410895,
|
| 1890 |
+
"loss": 0.6848,
|
| 1891 |
+
"step": 295
|
| 1892 |
+
},
|
| 1893 |
+
{
|
| 1894 |
+
"epoch": 0.88,
|
| 1895 |
+
"learning_rate": 0.00016171023307167545,
|
| 1896 |
+
"loss": 0.635,
|
| 1897 |
+
"step": 296
|
| 1898 |
+
},
|
| 1899 |
+
{
|
| 1900 |
+
"epoch": 0.89,
|
| 1901 |
+
"learning_rate": 0.0001614607238710833,
|
| 1902 |
+
"loss": 0.6941,
|
| 1903 |
+
"step": 297
|
| 1904 |
+
},
|
| 1905 |
+
{
|
| 1906 |
+
"epoch": 0.89,
|
| 1907 |
+
"learning_rate": 0.0001612105982547663,
|
| 1908 |
+
"loss": 0.6339,
|
| 1909 |
+
"step": 298
|
| 1910 |
+
},
|
| 1911 |
+
{
|
| 1912 |
+
"epoch": 0.89,
|
| 1913 |
+
"learning_rate": 0.0001609598587313406,
|
| 1914 |
+
"loss": 0.6298,
|
| 1915 |
+
"step": 299
|
| 1916 |
+
},
|
| 1917 |
+
{
|
| 1918 |
+
"epoch": 0.9,
|
| 1919 |
+
"learning_rate": 0.00016070850781557948,
|
| 1920 |
+
"loss": 0.6401,
|
| 1921 |
+
"step": 300
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 0.9,
|
| 1925 |
+
"eval_loss": 0.9913042187690735,
|
| 1926 |
+
"eval_runtime": 15.6715,
|
| 1927 |
+
"eval_samples_per_second": 37.201,
|
| 1928 |
+
"eval_steps_per_second": 18.633,
|
| 1929 |
+
"step": 300
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 0.9,
|
| 1933 |
+
"learning_rate": 0.00016045654802838812,
|
| 1934 |
+
"loss": 0.6483,
|
| 1935 |
+
"step": 301
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 0.9,
|
| 1939 |
+
"learning_rate": 0.0001602039818967783,
|
| 1940 |
+
"loss": 0.6352,
|
| 1941 |
+
"step": 302
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.91,
|
| 1945 |
+
"learning_rate": 0.00015995081195384315,
|
| 1946 |
+
"loss": 0.6344,
|
| 1947 |
+
"step": 303
|
| 1948 |
+
},
|
| 1949 |
+
{
|
| 1950 |
+
"epoch": 0.91,
|
| 1951 |
+
"learning_rate": 0.00015969704073873157,
|
| 1952 |
+
"loss": 0.6317,
|
| 1953 |
+
"step": 304
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"epoch": 0.91,
|
| 1957 |
+
"learning_rate": 0.000159442670796623,
|
| 1958 |
+
"loss": 0.6979,
|
| 1959 |
+
"step": 305
|
| 1960 |
+
},
|
| 1961 |
+
{
|
| 1962 |
+
"epoch": 0.91,
|
| 1963 |
+
"learning_rate": 0.0001591877046787017,
|
| 1964 |
+
"loss": 0.6429,
|
| 1965 |
+
"step": 306
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"epoch": 0.92,
|
| 1969 |
+
"learning_rate": 0.00015893214494213132,
|
| 1970 |
+
"loss": 0.6493,
|
| 1971 |
+
"step": 307
|
| 1972 |
+
},
|
| 1973 |
+
{
|
| 1974 |
+
"epoch": 0.92,
|
| 1975 |
+
"learning_rate": 0.00015867599415002895,
|
| 1976 |
+
"loss": 0.6765,
|
| 1977 |
+
"step": 308
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 0.92,
|
| 1981 |
+
"learning_rate": 0.00015841925487143987,
|
| 1982 |
+
"loss": 0.6871,
|
| 1983 |
+
"step": 309
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.93,
|
| 1987 |
+
"learning_rate": 0.00015816192968131138,
|
| 1988 |
+
"loss": 0.6389,
|
| 1989 |
+
"step": 310
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"epoch": 0.93,
|
| 1993 |
+
"learning_rate": 0.00015790402116046726,
|
| 1994 |
+
"loss": 0.6002,
|
| 1995 |
+
"step": 311
|
| 1996 |
+
},
|
| 1997 |
+
{
|
| 1998 |
+
"epoch": 0.93,
|
| 1999 |
+
"learning_rate": 0.0001576455318955816,
|
| 2000 |
+
"loss": 0.6025,
|
| 2001 |
+
"step": 312
|
| 2002 |
+
},
|
| 2003 |
+
{
|
| 2004 |
+
"epoch": 0.94,
|
| 2005 |
+
"learning_rate": 0.0001573864644791532,
|
| 2006 |
+
"loss": 0.6692,
|
| 2007 |
+
"step": 313
|
| 2008 |
+
},
|
| 2009 |
+
{
|
| 2010 |
+
"epoch": 0.94,
|
| 2011 |
+
"learning_rate": 0.00015712682150947923,
|
| 2012 |
+
"loss": 0.7079,
|
| 2013 |
+
"step": 314
|
| 2014 |
+
},
|
| 2015 |
+
{
|
| 2016 |
+
"epoch": 0.94,
|
| 2017 |
+
"learning_rate": 0.00015686660559062945,
|
| 2018 |
+
"loss": 0.6622,
|
| 2019 |
+
"step": 315
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 0.94,
|
| 2023 |
+
"learning_rate": 0.00015660581933241993,
|
| 2024 |
+
"loss": 0.6402,
|
| 2025 |
+
"step": 316
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.95,
|
| 2029 |
+
"learning_rate": 0.00015634446535038688,
|
| 2030 |
+
"loss": 0.7251,
|
| 2031 |
+
"step": 317
|
| 2032 |
+
},
|
| 2033 |
+
{
|
| 2034 |
+
"epoch": 0.95,
|
| 2035 |
+
"learning_rate": 0.00015608254626576048,
|
| 2036 |
+
"loss": 0.6806,
|
| 2037 |
+
"step": 318
|
| 2038 |
+
},
|
| 2039 |
+
{
|
| 2040 |
+
"epoch": 0.95,
|
| 2041 |
+
"learning_rate": 0.00015582006470543855,
|
| 2042 |
+
"loss": 0.6475,
|
| 2043 |
+
"step": 319
|
| 2044 |
+
},
|
| 2045 |
+
{
|
| 2046 |
+
"epoch": 0.96,
|
| 2047 |
+
"learning_rate": 0.00015555702330196023,
|
| 2048 |
+
"loss": 0.6665,
|
| 2049 |
+
"step": 320
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"epoch": 0.96,
|
| 2053 |
+
"eval_loss": 0.9910463094711304,
|
| 2054 |
+
"eval_runtime": 15.7019,
|
| 2055 |
+
"eval_samples_per_second": 37.129,
|
| 2056 |
+
"eval_steps_per_second": 18.596,
|
| 2057 |
+
"step": 320
|
| 2058 |
+
},
|
| 2059 |
+
{
|
| 2060 |
+
"epoch": 0.96,
|
| 2061 |
+
"learning_rate": 0.00015529342469347958,
|
| 2062 |
+
"loss": 0.6674,
|
| 2063 |
+
"step": 321
|
| 2064 |
+
},
|
| 2065 |
+
{
|
| 2066 |
+
"epoch": 0.96,
|
| 2067 |
+
"learning_rate": 0.00015502927152373914,
|
| 2068 |
+
"loss": 0.6873,
|
| 2069 |
+
"step": 322
|
| 2070 |
+
},
|
| 2071 |
+
{
|
| 2072 |
+
"epoch": 0.96,
|
| 2073 |
+
"learning_rate": 0.00015476456644204328,
|
| 2074 |
+
"loss": 0.6425,
|
| 2075 |
+
"step": 323
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"epoch": 0.97,
|
| 2079 |
+
"learning_rate": 0.0001544993121032318,
|
| 2080 |
+
"loss": 0.6565,
|
| 2081 |
+
"step": 324
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.97,
|
| 2085 |
+
"learning_rate": 0.00015423351116765317,
|
| 2086 |
+
"loss": 0.6886,
|
| 2087 |
+
"step": 325
|
| 2088 |
+
},
|
| 2089 |
+
{
|
| 2090 |
+
"epoch": 0.97,
|
| 2091 |
+
"learning_rate": 0.000153967166301138,
|
| 2092 |
+
"loss": 0.6904,
|
| 2093 |
+
"step": 326
|
| 2094 |
+
},
|
| 2095 |
+
{
|
| 2096 |
+
"epoch": 0.98,
|
| 2097 |
+
"learning_rate": 0.00015370028017497217,
|
| 2098 |
+
"loss": 0.6281,
|
| 2099 |
+
"step": 327
|
| 2100 |
+
},
|
| 2101 |
+
{
|
| 2102 |
+
"epoch": 0.98,
|
| 2103 |
+
"learning_rate": 0.00015343285546587013,
|
| 2104 |
+
"loss": 0.6836,
|
| 2105 |
+
"step": 328
|
| 2106 |
+
},
|
| 2107 |
+
{
|
| 2108 |
+
"epoch": 0.98,
|
| 2109 |
+
"learning_rate": 0.00015316489485594782,
|
| 2110 |
+
"loss": 0.697,
|
| 2111 |
+
"step": 329
|
| 2112 |
+
},
|
| 2113 |
+
{
|
| 2114 |
+
"epoch": 0.99,
|
| 2115 |
+
"learning_rate": 0.00015289640103269625,
|
| 2116 |
+
"loss": 0.656,
|
| 2117 |
+
"step": 330
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 0.99,
|
| 2121 |
+
"learning_rate": 0.00015262737668895405,
|
| 2122 |
+
"loss": 0.6649,
|
| 2123 |
+
"step": 331
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 0.99,
|
| 2127 |
+
"learning_rate": 0.00015235782452288068,
|
| 2128 |
+
"loss": 0.6775,
|
| 2129 |
+
"step": 332
|
| 2130 |
+
},
|
| 2131 |
+
{
|
| 2132 |
+
"epoch": 0.99,
|
| 2133 |
+
"learning_rate": 0.00015208774723792943,
|
| 2134 |
+
"loss": 0.6637,
|
| 2135 |
+
"step": 333
|
| 2136 |
+
},
|
| 2137 |
+
{
|
| 2138 |
+
"epoch": 1.0,
|
| 2139 |
+
"learning_rate": 0.0001518171475428202,
|
| 2140 |
+
"loss": 0.7175,
|
| 2141 |
+
"step": 334
|
| 2142 |
+
}
|
| 2143 |
+
],
|
| 2144 |
+
"logging_steps": 1,
|
| 2145 |
+
"max_steps": 1002,
|
| 2146 |
+
"num_train_epochs": 3,
|
| 2147 |
+
"save_steps": 500,
|
| 2148 |
+
"total_flos": 4.735056607476449e+17,
|
| 2149 |
+
"trial_name": null,
|
| 2150 |
+
"trial_params": null
|
| 2151 |
+
}
|
checkpoint-334/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a7780122e038bb83236a6b213b013867a89c4e742cce8c1208c1a41fc54e6c57
|
| 3 |
+
size 4475
|
checkpoint-669/README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: True
|
| 10 |
+
- load_in_4bit: False
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: fp4
|
| 16 |
+
- bnb_4bit_use_double_quant: False
|
| 17 |
+
- bnb_4bit_compute_dtype: float32
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.6.0.dev0
|
checkpoint-669/adapter_config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layers_pattern": null,
|
| 10 |
+
"layers_to_transform": null,
|
| 11 |
+
"lora_alpha": 16,
|
| 12 |
+
"lora_dropout": 0.05,
|
| 13 |
+
"modules_to_save": null,
|
| 14 |
+
"peft_type": "LORA",
|
| 15 |
+
"r": 32,
|
| 16 |
+
"rank_pattern": {},
|
| 17 |
+
"revision": null,
|
| 18 |
+
"target_modules": [
|
| 19 |
+
"v_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"down_proj",
|
| 22 |
+
"o_proj",
|
| 23 |
+
"up_proj",
|
| 24 |
+
"gate_proj",
|
| 25 |
+
"k_proj"
|
| 26 |
+
],
|
| 27 |
+
"task_type": "CAUSAL_LM"
|
| 28 |
+
}
|
checkpoint-669/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:271457be4fbe175e6bc47cce64f06e88bdcd5e1c992e72f4162e5a5331961855
|
| 3 |
+
size 335705741
|
checkpoint-669/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:18a2b1ed54334d6f9eab456f14f6162952de9ee6dc73054f8e9ab440749c7364
|
| 3 |
+
size 168624735
|
checkpoint-669/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b1ab09093aa584365cebc0ff564820bbc3a15434c299d4b56d1d3b7eb8ec8d5b
|
| 3 |
+
size 14575
|
checkpoint-669/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a29e66a13e55b23150a2838301e660c7f48ed4ad4ac666ab03ba2e6758b9600e
|
| 3 |
+
size 627
|
checkpoint-669/trainer_state.json
ADDED
|
@@ -0,0 +1,4297 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.998506348020911,
|
| 5 |
+
"eval_steps": 20,
|
| 6 |
+
"global_step": 669,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"learning_rate": 2e-05,
|
| 14 |
+
"loss": 1.5197,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.01,
|
| 19 |
+
"learning_rate": 4e-05,
|
| 20 |
+
"loss": 1.5435,
|
| 21 |
+
"step": 2
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.01,
|
| 25 |
+
"learning_rate": 6e-05,
|
| 26 |
+
"loss": 1.3967,
|
| 27 |
+
"step": 3
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.01,
|
| 31 |
+
"learning_rate": 8e-05,
|
| 32 |
+
"loss": 1.368,
|
| 33 |
+
"step": 4
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.01,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"loss": 1.2766,
|
| 39 |
+
"step": 5
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.02,
|
| 43 |
+
"learning_rate": 0.00012,
|
| 44 |
+
"loss": 1.1676,
|
| 45 |
+
"step": 6
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.02,
|
| 49 |
+
"learning_rate": 0.00014,
|
| 50 |
+
"loss": 1.0507,
|
| 51 |
+
"step": 7
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.02,
|
| 55 |
+
"learning_rate": 0.00016,
|
| 56 |
+
"loss": 1.0016,
|
| 57 |
+
"step": 8
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.03,
|
| 61 |
+
"learning_rate": 0.00018,
|
| 62 |
+
"loss": 0.9427,
|
| 63 |
+
"step": 9
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.03,
|
| 67 |
+
"learning_rate": 0.0002,
|
| 68 |
+
"loss": 0.9294,
|
| 69 |
+
"step": 10
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.03,
|
| 73 |
+
"learning_rate": 0.00019999949852874652,
|
| 74 |
+
"loss": 0.9023,
|
| 75 |
+
"step": 11
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.04,
|
| 79 |
+
"learning_rate": 0.00019999799412001546,
|
| 80 |
+
"loss": 0.8257,
|
| 81 |
+
"step": 12
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.04,
|
| 85 |
+
"learning_rate": 0.0001999954867888952,
|
| 86 |
+
"loss": 0.9064,
|
| 87 |
+
"step": 13
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.04,
|
| 91 |
+
"learning_rate": 0.00019999197656053288,
|
| 92 |
+
"loss": 0.8408,
|
| 93 |
+
"step": 14
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.04,
|
| 97 |
+
"learning_rate": 0.00019998746347013398,
|
| 98 |
+
"loss": 0.9058,
|
| 99 |
+
"step": 15
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.05,
|
| 103 |
+
"learning_rate": 0.0001999819475629623,
|
| 104 |
+
"loss": 0.8419,
|
| 105 |
+
"step": 16
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.05,
|
| 109 |
+
"learning_rate": 0.00019997542889433915,
|
| 110 |
+
"loss": 0.8535,
|
| 111 |
+
"step": 17
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.05,
|
| 115 |
+
"learning_rate": 0.00019996790752964305,
|
| 116 |
+
"loss": 0.8121,
|
| 117 |
+
"step": 18
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.06,
|
| 121 |
+
"learning_rate": 0.00019995938354430898,
|
| 122 |
+
"loss": 0.7725,
|
| 123 |
+
"step": 19
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.06,
|
| 127 |
+
"learning_rate": 0.00019994985702382758,
|
| 128 |
+
"loss": 0.7661,
|
| 129 |
+
"step": 20
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.06,
|
| 133 |
+
"eval_loss": 1.517298698425293,
|
| 134 |
+
"eval_runtime": 15.7157,
|
| 135 |
+
"eval_samples_per_second": 37.097,
|
| 136 |
+
"eval_steps_per_second": 18.58,
|
| 137 |
+
"step": 20
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.06,
|
| 141 |
+
"learning_rate": 0.0001999393280637444,
|
| 142 |
+
"loss": 0.7878,
|
| 143 |
+
"step": 21
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.07,
|
| 147 |
+
"learning_rate": 0.00019992779676965885,
|
| 148 |
+
"loss": 0.7435,
|
| 149 |
+
"step": 22
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.07,
|
| 153 |
+
"learning_rate": 0.00019991526325722315,
|
| 154 |
+
"loss": 0.8219,
|
| 155 |
+
"step": 23
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 0.07,
|
| 159 |
+
"learning_rate": 0.00019990172765214128,
|
| 160 |
+
"loss": 0.7624,
|
| 161 |
+
"step": 24
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 0.07,
|
| 165 |
+
"learning_rate": 0.00019988719009016753,
|
| 166 |
+
"loss": 0.7527,
|
| 167 |
+
"step": 25
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 0.08,
|
| 171 |
+
"learning_rate": 0.00019987165071710527,
|
| 172 |
+
"loss": 0.7699,
|
| 173 |
+
"step": 26
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 0.08,
|
| 177 |
+
"learning_rate": 0.00019985510968880557,
|
| 178 |
+
"loss": 0.7536,
|
| 179 |
+
"step": 27
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 0.08,
|
| 183 |
+
"learning_rate": 0.00019983756717116536,
|
| 184 |
+
"loss": 0.7863,
|
| 185 |
+
"step": 28
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.09,
|
| 189 |
+
"learning_rate": 0.000199819023340126,
|
| 190 |
+
"loss": 0.7166,
|
| 191 |
+
"step": 29
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.09,
|
| 195 |
+
"learning_rate": 0.0001997994783816715,
|
| 196 |
+
"loss": 0.7459,
|
| 197 |
+
"step": 30
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 0.09,
|
| 201 |
+
"learning_rate": 0.00019977893249182652,
|
| 202 |
+
"loss": 0.7376,
|
| 203 |
+
"step": 31
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 0.1,
|
| 207 |
+
"learning_rate": 0.00019975738587665456,
|
| 208 |
+
"loss": 0.7624,
|
| 209 |
+
"step": 32
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 0.1,
|
| 213 |
+
"learning_rate": 0.00019973483875225574,
|
| 214 |
+
"loss": 0.7329,
|
| 215 |
+
"step": 33
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 0.1,
|
| 219 |
+
"learning_rate": 0.00019971129134476473,
|
| 220 |
+
"loss": 0.7512,
|
| 221 |
+
"step": 34
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.1,
|
| 225 |
+
"learning_rate": 0.0001996867438903486,
|
| 226 |
+
"loss": 0.7211,
|
| 227 |
+
"step": 35
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.11,
|
| 231 |
+
"learning_rate": 0.00019966119663520412,
|
| 232 |
+
"loss": 0.7467,
|
| 233 |
+
"step": 36
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.11,
|
| 237 |
+
"learning_rate": 0.00019963464983555556,
|
| 238 |
+
"loss": 0.7186,
|
| 239 |
+
"step": 37
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 0.11,
|
| 243 |
+
"learning_rate": 0.0001996071037576521,
|
| 244 |
+
"loss": 0.7244,
|
| 245 |
+
"step": 38
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 0.12,
|
| 249 |
+
"learning_rate": 0.00019957855867776508,
|
| 250 |
+
"loss": 0.7071,
|
| 251 |
+
"step": 39
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.12,
|
| 255 |
+
"learning_rate": 0.00019954901488218515,
|
| 256 |
+
"loss": 0.7681,
|
| 257 |
+
"step": 40
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.12,
|
| 261 |
+
"eval_loss": 1.2323185205459595,
|
| 262 |
+
"eval_runtime": 15.7174,
|
| 263 |
+
"eval_samples_per_second": 37.093,
|
| 264 |
+
"eval_steps_per_second": 18.578,
|
| 265 |
+
"step": 40
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 0.12,
|
| 269 |
+
"learning_rate": 0.0001995184726672197,
|
| 270 |
+
"loss": 0.708,
|
| 271 |
+
"step": 41
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.13,
|
| 275 |
+
"learning_rate": 0.00019948693233918952,
|
| 276 |
+
"loss": 0.7443,
|
| 277 |
+
"step": 42
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 0.13,
|
| 281 |
+
"learning_rate": 0.000199454394214426,
|
| 282 |
+
"loss": 0.7079,
|
| 283 |
+
"step": 43
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.13,
|
| 287 |
+
"learning_rate": 0.0001994208586192678,
|
| 288 |
+
"loss": 0.6812,
|
| 289 |
+
"step": 44
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.13,
|
| 293 |
+
"learning_rate": 0.0001993863258900577,
|
| 294 |
+
"loss": 0.6792,
|
| 295 |
+
"step": 45
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"epoch": 0.14,
|
| 299 |
+
"learning_rate": 0.00019935079637313906,
|
| 300 |
+
"loss": 0.6553,
|
| 301 |
+
"step": 46
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 0.14,
|
| 305 |
+
"learning_rate": 0.0001993142704248525,
|
| 306 |
+
"loss": 0.6936,
|
| 307 |
+
"step": 47
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.14,
|
| 311 |
+
"learning_rate": 0.00019927674841153237,
|
| 312 |
+
"loss": 0.74,
|
| 313 |
+
"step": 48
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 0.15,
|
| 317 |
+
"learning_rate": 0.00019923823070950282,
|
| 318 |
+
"loss": 0.7154,
|
| 319 |
+
"step": 49
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 0.15,
|
| 323 |
+
"learning_rate": 0.0001991987177050743,
|
| 324 |
+
"loss": 0.6902,
|
| 325 |
+
"step": 50
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.15,
|
| 329 |
+
"learning_rate": 0.0001991582097945395,
|
| 330 |
+
"loss": 0.7009,
|
| 331 |
+
"step": 51
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.16,
|
| 335 |
+
"learning_rate": 0.00019911670738416947,
|
| 336 |
+
"loss": 0.699,
|
| 337 |
+
"step": 52
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 0.16,
|
| 341 |
+
"learning_rate": 0.00019907421089020955,
|
| 342 |
+
"loss": 0.681,
|
| 343 |
+
"step": 53
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 0.16,
|
| 347 |
+
"learning_rate": 0.00019903072073887507,
|
| 348 |
+
"loss": 0.7097,
|
| 349 |
+
"step": 54
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 0.16,
|
| 353 |
+
"learning_rate": 0.00019898623736634737,
|
| 354 |
+
"loss": 0.6861,
|
| 355 |
+
"step": 55
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 0.17,
|
| 359 |
+
"learning_rate": 0.000198940761218769,
|
| 360 |
+
"loss": 0.7279,
|
| 361 |
+
"step": 56
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 0.17,
|
| 365 |
+
"learning_rate": 0.00019889429275223957,
|
| 366 |
+
"loss": 0.6784,
|
| 367 |
+
"step": 57
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.17,
|
| 371 |
+
"learning_rate": 0.00019884683243281116,
|
| 372 |
+
"loss": 0.7,
|
| 373 |
+
"step": 58
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.18,
|
| 377 |
+
"learning_rate": 0.00019879838073648341,
|
| 378 |
+
"loss": 0.6634,
|
| 379 |
+
"step": 59
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 0.18,
|
| 383 |
+
"learning_rate": 0.00019874893814919906,
|
| 384 |
+
"loss": 0.6647,
|
| 385 |
+
"step": 60
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 0.18,
|
| 389 |
+
"eval_loss": 1.1306297779083252,
|
| 390 |
+
"eval_runtime": 15.73,
|
| 391 |
+
"eval_samples_per_second": 37.063,
|
| 392 |
+
"eval_steps_per_second": 18.563,
|
| 393 |
+
"step": 60
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 0.18,
|
| 397 |
+
"learning_rate": 0.00019869850516683875,
|
| 398 |
+
"loss": 0.7377,
|
| 399 |
+
"step": 61
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 0.19,
|
| 403 |
+
"learning_rate": 0.00019864708229521636,
|
| 404 |
+
"loss": 0.6794,
|
| 405 |
+
"step": 62
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 0.19,
|
| 409 |
+
"learning_rate": 0.00019859467005007368,
|
| 410 |
+
"loss": 0.6744,
|
| 411 |
+
"step": 63
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 0.19,
|
| 415 |
+
"learning_rate": 0.0001985412689570754,
|
| 416 |
+
"loss": 0.6921,
|
| 417 |
+
"step": 64
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.19,
|
| 421 |
+
"learning_rate": 0.00019848687955180386,
|
| 422 |
+
"loss": 0.7389,
|
| 423 |
+
"step": 65
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.2,
|
| 427 |
+
"learning_rate": 0.00019843150237975344,
|
| 428 |
+
"loss": 0.6795,
|
| 429 |
+
"step": 66
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.2,
|
| 433 |
+
"learning_rate": 0.00019837513799632534,
|
| 434 |
+
"loss": 0.6917,
|
| 435 |
+
"step": 67
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 0.2,
|
| 439 |
+
"learning_rate": 0.00019831778696682194,
|
| 440 |
+
"loss": 0.66,
|
| 441 |
+
"step": 68
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 0.21,
|
| 445 |
+
"learning_rate": 0.00019825944986644114,
|
| 446 |
+
"loss": 0.6926,
|
| 447 |
+
"step": 69
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 0.21,
|
| 451 |
+
"learning_rate": 0.00019820012728027044,
|
| 452 |
+
"loss": 0.7265,
|
| 453 |
+
"step": 70
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 0.21,
|
| 457 |
+
"learning_rate": 0.00019813981980328129,
|
| 458 |
+
"loss": 0.733,
|
| 459 |
+
"step": 71
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.22,
|
| 463 |
+
"learning_rate": 0.00019807852804032305,
|
| 464 |
+
"loss": 0.6543,
|
| 465 |
+
"step": 72
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.22,
|
| 469 |
+
"learning_rate": 0.00019801625260611685,
|
| 470 |
+
"loss": 0.673,
|
| 471 |
+
"step": 73
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.22,
|
| 475 |
+
"learning_rate": 0.00019795299412524945,
|
| 476 |
+
"loss": 0.6773,
|
| 477 |
+
"step": 74
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 0.22,
|
| 481 |
+
"learning_rate": 0.0001978887532321671,
|
| 482 |
+
"loss": 0.6469,
|
| 483 |
+
"step": 75
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 0.23,
|
| 487 |
+
"learning_rate": 0.000197823530571169,
|
| 488 |
+
"loss": 0.7272,
|
| 489 |
+
"step": 76
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.23,
|
| 493 |
+
"learning_rate": 0.00019775732679640093,
|
| 494 |
+
"loss": 0.7015,
|
| 495 |
+
"step": 77
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 0.23,
|
| 499 |
+
"learning_rate": 0.0001976901425718487,
|
| 500 |
+
"loss": 0.6973,
|
| 501 |
+
"step": 78
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.24,
|
| 505 |
+
"learning_rate": 0.00019762197857133148,
|
| 506 |
+
"loss": 0.6831,
|
| 507 |
+
"step": 79
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.24,
|
| 511 |
+
"learning_rate": 0.00019755283547849494,
|
| 512 |
+
"loss": 0.6742,
|
| 513 |
+
"step": 80
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.24,
|
| 517 |
+
"eval_loss": 1.0846511125564575,
|
| 518 |
+
"eval_runtime": 15.6885,
|
| 519 |
+
"eval_samples_per_second": 37.161,
|
| 520 |
+
"eval_steps_per_second": 18.612,
|
| 521 |
+
"step": 80
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.24,
|
| 525 |
+
"learning_rate": 0.0001974827139868046,
|
| 526 |
+
"loss": 0.683,
|
| 527 |
+
"step": 81
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.24,
|
| 531 |
+
"learning_rate": 0.0001974116147995387,
|
| 532 |
+
"loss": 0.7063,
|
| 533 |
+
"step": 82
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 0.25,
|
| 537 |
+
"learning_rate": 0.00019733953862978123,
|
| 538 |
+
"loss": 0.6963,
|
| 539 |
+
"step": 83
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 0.25,
|
| 543 |
+
"learning_rate": 0.00019726648620041468,
|
| 544 |
+
"loss": 0.7179,
|
| 545 |
+
"step": 84
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 0.25,
|
| 549 |
+
"learning_rate": 0.00019719245824411296,
|
| 550 |
+
"loss": 0.7315,
|
| 551 |
+
"step": 85
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 0.26,
|
| 555 |
+
"learning_rate": 0.0001971174555033339,
|
| 556 |
+
"loss": 0.6839,
|
| 557 |
+
"step": 86
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.26,
|
| 561 |
+
"learning_rate": 0.00019704147873031186,
|
| 562 |
+
"loss": 0.6917,
|
| 563 |
+
"step": 87
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.26,
|
| 567 |
+
"learning_rate": 0.00019696452868705024,
|
| 568 |
+
"loss": 0.6828,
|
| 569 |
+
"step": 88
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.27,
|
| 573 |
+
"learning_rate": 0.00019688660614531367,
|
| 574 |
+
"loss": 0.6965,
|
| 575 |
+
"step": 89
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 0.27,
|
| 579 |
+
"learning_rate": 0.00019680771188662044,
|
| 580 |
+
"loss": 0.6522,
|
| 581 |
+
"step": 90
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 0.27,
|
| 585 |
+
"learning_rate": 0.00019672784670223464,
|
| 586 |
+
"loss": 0.6939,
|
| 587 |
+
"step": 91
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 0.27,
|
| 591 |
+
"learning_rate": 0.0001966470113931582,
|
| 592 |
+
"loss": 0.7037,
|
| 593 |
+
"step": 92
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 0.28,
|
| 597 |
+
"learning_rate": 0.00019656520677012264,
|
| 598 |
+
"loss": 0.6903,
|
| 599 |
+
"step": 93
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.28,
|
| 603 |
+
"learning_rate": 0.00019648243365358146,
|
| 604 |
+
"loss": 0.706,
|
| 605 |
+
"step": 94
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.28,
|
| 609 |
+
"learning_rate": 0.0001963986928737014,
|
| 610 |
+
"loss": 0.6253,
|
| 611 |
+
"step": 95
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.29,
|
| 615 |
+
"learning_rate": 0.00019631398527035422,
|
| 616 |
+
"loss": 0.732,
|
| 617 |
+
"step": 96
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 0.29,
|
| 621 |
+
"learning_rate": 0.0001962283116931086,
|
| 622 |
+
"loss": 0.6935,
|
| 623 |
+
"step": 97
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 0.29,
|
| 627 |
+
"learning_rate": 0.00019614167300122126,
|
| 628 |
+
"loss": 0.731,
|
| 629 |
+
"step": 98
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 0.3,
|
| 633 |
+
"learning_rate": 0.0001960540700636284,
|
| 634 |
+
"loss": 0.6916,
|
| 635 |
+
"step": 99
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 0.3,
|
| 639 |
+
"learning_rate": 0.0001959655037589372,
|
| 640 |
+
"loss": 0.6995,
|
| 641 |
+
"step": 100
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.3,
|
| 645 |
+
"eval_loss": 1.0572510957717896,
|
| 646 |
+
"eval_runtime": 15.7086,
|
| 647 |
+
"eval_samples_per_second": 37.113,
|
| 648 |
+
"eval_steps_per_second": 18.588,
|
| 649 |
+
"step": 100
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 0.3,
|
| 653 |
+
"learning_rate": 0.0001958759749754167,
|
| 654 |
+
"loss": 0.7313,
|
| 655 |
+
"step": 101
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.3,
|
| 659 |
+
"learning_rate": 0.00019578548461098914,
|
| 660 |
+
"loss": 0.7337,
|
| 661 |
+
"step": 102
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.31,
|
| 665 |
+
"learning_rate": 0.0001956940335732209,
|
| 666 |
+
"loss": 0.6721,
|
| 667 |
+
"step": 103
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.31,
|
| 671 |
+
"learning_rate": 0.00019560162277931325,
|
| 672 |
+
"loss": 0.6907,
|
| 673 |
+
"step": 104
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 0.31,
|
| 677 |
+
"learning_rate": 0.0001955082531560934,
|
| 678 |
+
"loss": 0.6599,
|
| 679 |
+
"step": 105
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 0.32,
|
| 683 |
+
"learning_rate": 0.00019541392564000488,
|
| 684 |
+
"loss": 0.6941,
|
| 685 |
+
"step": 106
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 0.32,
|
| 689 |
+
"learning_rate": 0.00019531864117709855,
|
| 690 |
+
"loss": 0.7037,
|
| 691 |
+
"step": 107
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 0.32,
|
| 695 |
+
"learning_rate": 0.00019522240072302274,
|
| 696 |
+
"loss": 0.6819,
|
| 697 |
+
"step": 108
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.33,
|
| 701 |
+
"learning_rate": 0.00019512520524301387,
|
| 702 |
+
"loss": 0.6729,
|
| 703 |
+
"step": 109
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.33,
|
| 707 |
+
"learning_rate": 0.00019502705571188672,
|
| 708 |
+
"loss": 0.713,
|
| 709 |
+
"step": 110
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.33,
|
| 713 |
+
"learning_rate": 0.00019492795311402473,
|
| 714 |
+
"loss": 0.6638,
|
| 715 |
+
"step": 111
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 0.33,
|
| 719 |
+
"learning_rate": 0.0001948278984433699,
|
| 720 |
+
"loss": 0.647,
|
| 721 |
+
"step": 112
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 0.34,
|
| 725 |
+
"learning_rate": 0.00019472689270341303,
|
| 726 |
+
"loss": 0.614,
|
| 727 |
+
"step": 113
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 0.34,
|
| 731 |
+
"learning_rate": 0.0001946249369071837,
|
| 732 |
+
"loss": 0.6783,
|
| 733 |
+
"step": 114
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 0.34,
|
| 737 |
+
"learning_rate": 0.0001945220320772399,
|
| 738 |
+
"loss": 0.7093,
|
| 739 |
+
"step": 115
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 0.35,
|
| 743 |
+
"learning_rate": 0.00019441817924565786,
|
| 744 |
+
"loss": 0.7179,
|
| 745 |
+
"step": 116
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.35,
|
| 749 |
+
"learning_rate": 0.00019431337945402185,
|
| 750 |
+
"loss": 0.7241,
|
| 751 |
+
"step": 117
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.35,
|
| 755 |
+
"learning_rate": 0.0001942076337534135,
|
| 756 |
+
"loss": 0.7168,
|
| 757 |
+
"step": 118
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 0.36,
|
| 761 |
+
"learning_rate": 0.00019410094320440138,
|
| 762 |
+
"loss": 0.7127,
|
| 763 |
+
"step": 119
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 0.36,
|
| 767 |
+
"learning_rate": 0.00019399330887703037,
|
| 768 |
+
"loss": 0.6883,
|
| 769 |
+
"step": 120
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 0.36,
|
| 773 |
+
"eval_loss": 1.0412259101867676,
|
| 774 |
+
"eval_runtime": 15.6448,
|
| 775 |
+
"eval_samples_per_second": 37.265,
|
| 776 |
+
"eval_steps_per_second": 18.664,
|
| 777 |
+
"step": 120
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 0.36,
|
| 781 |
+
"learning_rate": 0.00019388473185081087,
|
| 782 |
+
"loss": 0.6663,
|
| 783 |
+
"step": 121
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 0.36,
|
| 787 |
+
"learning_rate": 0.00019377521321470805,
|
| 788 |
+
"loss": 0.7319,
|
| 789 |
+
"step": 122
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 0.37,
|
| 793 |
+
"learning_rate": 0.00019366475406713086,
|
| 794 |
+
"loss": 0.6942,
|
| 795 |
+
"step": 123
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 0.37,
|
| 799 |
+
"learning_rate": 0.00019355335551592105,
|
| 800 |
+
"loss": 0.6847,
|
| 801 |
+
"step": 124
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.37,
|
| 805 |
+
"learning_rate": 0.000193441018678342,
|
| 806 |
+
"loss": 0.6732,
|
| 807 |
+
"step": 125
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.38,
|
| 811 |
+
"learning_rate": 0.00019332774468106768,
|
| 812 |
+
"loss": 0.6661,
|
| 813 |
+
"step": 126
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 0.38,
|
| 817 |
+
"learning_rate": 0.00019321353466017108,
|
| 818 |
+
"loss": 0.7044,
|
| 819 |
+
"step": 127
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 0.38,
|
| 823 |
+
"learning_rate": 0.00019309838976111311,
|
| 824 |
+
"loss": 0.6794,
|
| 825 |
+
"step": 128
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 0.39,
|
| 829 |
+
"learning_rate": 0.00019298231113873087,
|
| 830 |
+
"loss": 0.7275,
|
| 831 |
+
"step": 129
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 0.39,
|
| 835 |
+
"learning_rate": 0.00019286529995722623,
|
| 836 |
+
"loss": 0.685,
|
| 837 |
+
"step": 130
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 0.39,
|
| 841 |
+
"learning_rate": 0.00019274735739015404,
|
| 842 |
+
"loss": 0.6825,
|
| 843 |
+
"step": 131
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.39,
|
| 847 |
+
"learning_rate": 0.00019262848462041045,
|
| 848 |
+
"loss": 0.6857,
|
| 849 |
+
"step": 132
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.4,
|
| 853 |
+
"learning_rate": 0.000192508682840221,
|
| 854 |
+
"loss": 0.7139,
|
| 855 |
+
"step": 133
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 0.4,
|
| 859 |
+
"learning_rate": 0.0001923879532511287,
|
| 860 |
+
"loss": 0.6413,
|
| 861 |
+
"step": 134
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 0.4,
|
| 865 |
+
"learning_rate": 0.00019226629706398186,
|
| 866 |
+
"loss": 0.7257,
|
| 867 |
+
"step": 135
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 0.41,
|
| 871 |
+
"learning_rate": 0.0001921437154989221,
|
| 872 |
+
"loss": 0.6365,
|
| 873 |
+
"step": 136
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.41,
|
| 877 |
+
"learning_rate": 0.00019202020978537207,
|
| 878 |
+
"loss": 0.66,
|
| 879 |
+
"step": 137
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 0.41,
|
| 883 |
+
"learning_rate": 0.00019189578116202307,
|
| 884 |
+
"loss": 0.6525,
|
| 885 |
+
"step": 138
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.42,
|
| 889 |
+
"learning_rate": 0.00019177043087682265,
|
| 890 |
+
"loss": 0.6438,
|
| 891 |
+
"step": 139
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.42,
|
| 895 |
+
"learning_rate": 0.00019164416018696207,
|
| 896 |
+
"loss": 0.6437,
|
| 897 |
+
"step": 140
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 0.42,
|
| 901 |
+
"eval_loss": 1.0374538898468018,
|
| 902 |
+
"eval_runtime": 15.6903,
|
| 903 |
+
"eval_samples_per_second": 37.157,
|
| 904 |
+
"eval_steps_per_second": 18.61,
|
| 905 |
+
"step": 140
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.42,
|
| 909 |
+
"learning_rate": 0.00019151697035886382,
|
| 910 |
+
"loss": 0.6878,
|
| 911 |
+
"step": 141
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 0.42,
|
| 915 |
+
"learning_rate": 0.00019138886266816866,
|
| 916 |
+
"loss": 0.7072,
|
| 917 |
+
"step": 142
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 0.43,
|
| 921 |
+
"learning_rate": 0.00019125983839972317,
|
| 922 |
+
"loss": 0.69,
|
| 923 |
+
"step": 143
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 0.43,
|
| 927 |
+
"learning_rate": 0.00019112989884756653,
|
| 928 |
+
"loss": 0.7666,
|
| 929 |
+
"step": 144
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 0.43,
|
| 933 |
+
"learning_rate": 0.00019099904531491774,
|
| 934 |
+
"loss": 0.689,
|
| 935 |
+
"step": 145
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 0.44,
|
| 939 |
+
"learning_rate": 0.0001908672791141625,
|
| 940 |
+
"loss": 0.7394,
|
| 941 |
+
"step": 146
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.44,
|
| 945 |
+
"learning_rate": 0.0001907346015668401,
|
| 946 |
+
"loss": 0.6882,
|
| 947 |
+
"step": 147
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.44,
|
| 951 |
+
"learning_rate": 0.00019060101400362998,
|
| 952 |
+
"loss": 0.6394,
|
| 953 |
+
"step": 148
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 0.45,
|
| 957 |
+
"learning_rate": 0.00019046651776433862,
|
| 958 |
+
"loss": 0.6932,
|
| 959 |
+
"step": 149
|
| 960 |
+
},
|
| 961 |
+
{
|
| 962 |
+
"epoch": 0.45,
|
| 963 |
+
"learning_rate": 0.00019033111419788597,
|
| 964 |
+
"loss": 0.6676,
|
| 965 |
+
"step": 150
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"epoch": 0.45,
|
| 969 |
+
"learning_rate": 0.00019019480466229201,
|
| 970 |
+
"loss": 0.6818,
|
| 971 |
+
"step": 151
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 0.45,
|
| 975 |
+
"learning_rate": 0.000190057590524663,
|
| 976 |
+
"loss": 0.6695,
|
| 977 |
+
"step": 152
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 0.46,
|
| 981 |
+
"learning_rate": 0.0001899194731611778,
|
| 982 |
+
"loss": 0.7082,
|
| 983 |
+
"step": 153
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.46,
|
| 987 |
+
"learning_rate": 0.00018978045395707418,
|
| 988 |
+
"loss": 0.6626,
|
| 989 |
+
"step": 154
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.46,
|
| 993 |
+
"learning_rate": 0.00018964053430663483,
|
| 994 |
+
"loss": 0.6708,
|
| 995 |
+
"step": 155
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"epoch": 0.47,
|
| 999 |
+
"learning_rate": 0.0001894997156131734,
|
| 1000 |
+
"loss": 0.7864,
|
| 1001 |
+
"step": 156
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 0.47,
|
| 1005 |
+
"learning_rate": 0.00018935799928902045,
|
| 1006 |
+
"loss": 0.6899,
|
| 1007 |
+
"step": 157
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 0.47,
|
| 1011 |
+
"learning_rate": 0.0001892153867555092,
|
| 1012 |
+
"loss": 0.6574,
|
| 1013 |
+
"step": 158
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 0.47,
|
| 1017 |
+
"learning_rate": 0.00018907187944296137,
|
| 1018 |
+
"loss": 0.7157,
|
| 1019 |
+
"step": 159
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 0.48,
|
| 1023 |
+
"learning_rate": 0.00018892747879067286,
|
| 1024 |
+
"loss": 0.6331,
|
| 1025 |
+
"step": 160
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.48,
|
| 1029 |
+
"eval_loss": 1.0186299085617065,
|
| 1030 |
+
"eval_runtime": 15.6809,
|
| 1031 |
+
"eval_samples_per_second": 37.179,
|
| 1032 |
+
"eval_steps_per_second": 18.621,
|
| 1033 |
+
"step": 160
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 0.48,
|
| 1037 |
+
"learning_rate": 0.0001887821862468991,
|
| 1038 |
+
"loss": 0.7219,
|
| 1039 |
+
"step": 161
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.48,
|
| 1043 |
+
"learning_rate": 0.00018863600326884082,
|
| 1044 |
+
"loss": 0.7203,
|
| 1045 |
+
"step": 162
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.49,
|
| 1049 |
+
"learning_rate": 0.00018848893132262926,
|
| 1050 |
+
"loss": 0.6722,
|
| 1051 |
+
"step": 163
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"epoch": 0.49,
|
| 1055 |
+
"learning_rate": 0.00018834097188331143,
|
| 1056 |
+
"loss": 0.7223,
|
| 1057 |
+
"step": 164
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"epoch": 0.49,
|
| 1061 |
+
"learning_rate": 0.0001881921264348355,
|
| 1062 |
+
"loss": 0.659,
|
| 1063 |
+
"step": 165
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 0.5,
|
| 1067 |
+
"learning_rate": 0.00018804239647003573,
|
| 1068 |
+
"loss": 0.6763,
|
| 1069 |
+
"step": 166
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 0.5,
|
| 1073 |
+
"learning_rate": 0.00018789178349061753,
|
| 1074 |
+
"loss": 0.649,
|
| 1075 |
+
"step": 167
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 0.5,
|
| 1079 |
+
"learning_rate": 0.00018774028900714256,
|
| 1080 |
+
"loss": 0.6762,
|
| 1081 |
+
"step": 168
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.5,
|
| 1085 |
+
"learning_rate": 0.00018758791453901336,
|
| 1086 |
+
"loss": 0.6547,
|
| 1087 |
+
"step": 169
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.51,
|
| 1091 |
+
"learning_rate": 0.00018743466161445823,
|
| 1092 |
+
"loss": 0.6516,
|
| 1093 |
+
"step": 170
|
| 1094 |
+
},
|
| 1095 |
+
{
|
| 1096 |
+
"epoch": 0.51,
|
| 1097 |
+
"learning_rate": 0.0001872805317705159,
|
| 1098 |
+
"loss": 0.6479,
|
| 1099 |
+
"step": 171
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"epoch": 0.51,
|
| 1103 |
+
"learning_rate": 0.0001871255265530201,
|
| 1104 |
+
"loss": 0.6986,
|
| 1105 |
+
"step": 172
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 0.52,
|
| 1109 |
+
"learning_rate": 0.00018696964751658404,
|
| 1110 |
+
"loss": 0.7402,
|
| 1111 |
+
"step": 173
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 0.52,
|
| 1115 |
+
"learning_rate": 0.00018681289622458485,
|
| 1116 |
+
"loss": 0.6629,
|
| 1117 |
+
"step": 174
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 0.52,
|
| 1121 |
+
"learning_rate": 0.00018665527424914787,
|
| 1122 |
+
"loss": 0.6761,
|
| 1123 |
+
"step": 175
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.53,
|
| 1127 |
+
"learning_rate": 0.00018649678317113084,
|
| 1128 |
+
"loss": 0.6746,
|
| 1129 |
+
"step": 176
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.53,
|
| 1133 |
+
"learning_rate": 0.0001863374245801082,
|
| 1134 |
+
"loss": 0.67,
|
| 1135 |
+
"step": 177
|
| 1136 |
+
},
|
| 1137 |
+
{
|
| 1138 |
+
"epoch": 0.53,
|
| 1139 |
+
"learning_rate": 0.00018617720007435497,
|
| 1140 |
+
"loss": 0.7406,
|
| 1141 |
+
"step": 178
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"epoch": 0.53,
|
| 1145 |
+
"learning_rate": 0.00018601611126083087,
|
| 1146 |
+
"loss": 0.6735,
|
| 1147 |
+
"step": 179
|
| 1148 |
+
},
|
| 1149 |
+
{
|
| 1150 |
+
"epoch": 0.54,
|
| 1151 |
+
"learning_rate": 0.000185854159755164,
|
| 1152 |
+
"loss": 0.6686,
|
| 1153 |
+
"step": 180
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 0.54,
|
| 1157 |
+
"eval_loss": 1.0153461694717407,
|
| 1158 |
+
"eval_runtime": 15.6769,
|
| 1159 |
+
"eval_samples_per_second": 37.189,
|
| 1160 |
+
"eval_steps_per_second": 18.626,
|
| 1161 |
+
"step": 180
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 0.54,
|
| 1165 |
+
"learning_rate": 0.00018569134718163496,
|
| 1166 |
+
"loss": 0.6416,
|
| 1167 |
+
"step": 181
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 0.54,
|
| 1171 |
+
"learning_rate": 0.00018552767517316022,
|
| 1172 |
+
"loss": 0.6456,
|
| 1173 |
+
"step": 182
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 0.55,
|
| 1177 |
+
"learning_rate": 0.00018536314537127586,
|
| 1178 |
+
"loss": 0.6794,
|
| 1179 |
+
"step": 183
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.55,
|
| 1183 |
+
"learning_rate": 0.00018519775942612128,
|
| 1184 |
+
"loss": 0.6754,
|
| 1185 |
+
"step": 184
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.55,
|
| 1189 |
+
"learning_rate": 0.00018503151899642236,
|
| 1190 |
+
"loss": 0.6251,
|
| 1191 |
+
"step": 185
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"epoch": 0.56,
|
| 1195 |
+
"learning_rate": 0.00018486442574947511,
|
| 1196 |
+
"loss": 0.7354,
|
| 1197 |
+
"step": 186
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"epoch": 0.56,
|
| 1201 |
+
"learning_rate": 0.00018469648136112867,
|
| 1202 |
+
"loss": 0.6457,
|
| 1203 |
+
"step": 187
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"epoch": 0.56,
|
| 1207 |
+
"learning_rate": 0.0001845276875157687,
|
| 1208 |
+
"loss": 0.6823,
|
| 1209 |
+
"step": 188
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 0.56,
|
| 1213 |
+
"learning_rate": 0.00018435804590630043,
|
| 1214 |
+
"loss": 0.6891,
|
| 1215 |
+
"step": 189
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 0.57,
|
| 1219 |
+
"learning_rate": 0.0001841875582341317,
|
| 1220 |
+
"loss": 0.6731,
|
| 1221 |
+
"step": 190
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.57,
|
| 1225 |
+
"learning_rate": 0.00018401622620915583,
|
| 1226 |
+
"loss": 0.6857,
|
| 1227 |
+
"step": 191
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.57,
|
| 1231 |
+
"learning_rate": 0.0001838440515497345,
|
| 1232 |
+
"loss": 0.6807,
|
| 1233 |
+
"step": 192
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 0.58,
|
| 1237 |
+
"learning_rate": 0.0001836710359826806,
|
| 1238 |
+
"loss": 0.6622,
|
| 1239 |
+
"step": 193
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 0.58,
|
| 1243 |
+
"learning_rate": 0.00018349718124324076,
|
| 1244 |
+
"loss": 0.6628,
|
| 1245 |
+
"step": 194
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 0.58,
|
| 1249 |
+
"learning_rate": 0.00018332248907507807,
|
| 1250 |
+
"loss": 0.724,
|
| 1251 |
+
"step": 195
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 0.59,
|
| 1255 |
+
"learning_rate": 0.00018314696123025454,
|
| 1256 |
+
"loss": 0.675,
|
| 1257 |
+
"step": 196
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 0.59,
|
| 1261 |
+
"learning_rate": 0.00018297059946921355,
|
| 1262 |
+
"loss": 0.677,
|
| 1263 |
+
"step": 197
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.59,
|
| 1267 |
+
"learning_rate": 0.00018279340556076216,
|
| 1268 |
+
"loss": 0.6555,
|
| 1269 |
+
"step": 198
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.59,
|
| 1273 |
+
"learning_rate": 0.0001826153812820534,
|
| 1274 |
+
"loss": 0.6273,
|
| 1275 |
+
"step": 199
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 0.6,
|
| 1279 |
+
"learning_rate": 0.0001824365284185684,
|
| 1280 |
+
"loss": 0.6767,
|
| 1281 |
+
"step": 200
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 0.6,
|
| 1285 |
+
"eval_loss": 1.004173994064331,
|
| 1286 |
+
"eval_runtime": 15.726,
|
| 1287 |
+
"eval_samples_per_second": 37.072,
|
| 1288 |
+
"eval_steps_per_second": 18.568,
|
| 1289 |
+
"step": 200
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"epoch": 0.6,
|
| 1293 |
+
"learning_rate": 0.00018225684876409863,
|
| 1294 |
+
"loss": 0.6719,
|
| 1295 |
+
"step": 201
|
| 1296 |
+
},
|
| 1297 |
+
{
|
| 1298 |
+
"epoch": 0.6,
|
| 1299 |
+
"learning_rate": 0.00018207634412072764,
|
| 1300 |
+
"loss": 0.6522,
|
| 1301 |
+
"step": 202
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 0.61,
|
| 1305 |
+
"learning_rate": 0.0001818950162988133,
|
| 1306 |
+
"loss": 0.6957,
|
| 1307 |
+
"step": 203
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 0.61,
|
| 1311 |
+
"learning_rate": 0.00018171286711696934,
|
| 1312 |
+
"loss": 0.7013,
|
| 1313 |
+
"step": 204
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 0.61,
|
| 1317 |
+
"learning_rate": 0.00018152989840204735,
|
| 1318 |
+
"loss": 0.6603,
|
| 1319 |
+
"step": 205
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.62,
|
| 1323 |
+
"learning_rate": 0.0001813461119891184,
|
| 1324 |
+
"loss": 0.6788,
|
| 1325 |
+
"step": 206
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.62,
|
| 1329 |
+
"learning_rate": 0.0001811615097214545,
|
| 1330 |
+
"loss": 0.6795,
|
| 1331 |
+
"step": 207
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"epoch": 0.62,
|
| 1335 |
+
"learning_rate": 0.00018097609345051025,
|
| 1336 |
+
"loss": 0.6458,
|
| 1337 |
+
"step": 208
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 0.62,
|
| 1341 |
+
"learning_rate": 0.00018078986503590428,
|
| 1342 |
+
"loss": 0.6741,
|
| 1343 |
+
"step": 209
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 0.63,
|
| 1347 |
+
"learning_rate": 0.00018060282634540053,
|
| 1348 |
+
"loss": 0.6537,
|
| 1349 |
+
"step": 210
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 0.63,
|
| 1353 |
+
"learning_rate": 0.0001804149792548895,
|
| 1354 |
+
"loss": 0.6501,
|
| 1355 |
+
"step": 211
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 0.63,
|
| 1359 |
+
"learning_rate": 0.00018022632564836948,
|
| 1360 |
+
"loss": 0.673,
|
| 1361 |
+
"step": 212
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.64,
|
| 1365 |
+
"learning_rate": 0.00018003686741792772,
|
| 1366 |
+
"loss": 0.6746,
|
| 1367 |
+
"step": 213
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.64,
|
| 1371 |
+
"learning_rate": 0.0001798466064637214,
|
| 1372 |
+
"loss": 0.6329,
|
| 1373 |
+
"step": 214
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 0.64,
|
| 1377 |
+
"learning_rate": 0.00017965554469395837,
|
| 1378 |
+
"loss": 0.69,
|
| 1379 |
+
"step": 215
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 0.65,
|
| 1383 |
+
"learning_rate": 0.00017946368402487845,
|
| 1384 |
+
"loss": 0.6513,
|
| 1385 |
+
"step": 216
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 0.65,
|
| 1389 |
+
"learning_rate": 0.00017927102638073383,
|
| 1390 |
+
"loss": 0.6758,
|
| 1391 |
+
"step": 217
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 0.65,
|
| 1395 |
+
"learning_rate": 0.00017907757369376985,
|
| 1396 |
+
"loss": 0.6776,
|
| 1397 |
+
"step": 218
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 0.65,
|
| 1401 |
+
"learning_rate": 0.00017888332790420584,
|
| 1402 |
+
"loss": 0.6487,
|
| 1403 |
+
"step": 219
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.66,
|
| 1407 |
+
"learning_rate": 0.00017868829096021527,
|
| 1408 |
+
"loss": 0.7037,
|
| 1409 |
+
"step": 220
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.66,
|
| 1413 |
+
"eval_loss": 1.002336025238037,
|
| 1414 |
+
"eval_runtime": 17.4124,
|
| 1415 |
+
"eval_samples_per_second": 33.482,
|
| 1416 |
+
"eval_steps_per_second": 16.77,
|
| 1417 |
+
"step": 220
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.66,
|
| 1421 |
+
"learning_rate": 0.00017849246481790664,
|
| 1422 |
+
"loss": 0.71,
|
| 1423 |
+
"step": 221
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.66,
|
| 1427 |
+
"learning_rate": 0.00017829585144130356,
|
| 1428 |
+
"loss": 0.6695,
|
| 1429 |
+
"step": 222
|
| 1430 |
+
},
|
| 1431 |
+
{
|
| 1432 |
+
"epoch": 0.67,
|
| 1433 |
+
"learning_rate": 0.00017809845280232514,
|
| 1434 |
+
"loss": 0.6645,
|
| 1435 |
+
"step": 223
|
| 1436 |
+
},
|
| 1437 |
+
{
|
| 1438 |
+
"epoch": 0.67,
|
| 1439 |
+
"learning_rate": 0.0001779002708807662,
|
| 1440 |
+
"loss": 0.6983,
|
| 1441 |
+
"step": 224
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 0.67,
|
| 1445 |
+
"learning_rate": 0.0001777013076642776,
|
| 1446 |
+
"loss": 0.6785,
|
| 1447 |
+
"step": 225
|
| 1448 |
+
},
|
| 1449 |
+
{
|
| 1450 |
+
"epoch": 0.68,
|
| 1451 |
+
"learning_rate": 0.0001775015651483459,
|
| 1452 |
+
"loss": 0.6791,
|
| 1453 |
+
"step": 226
|
| 1454 |
+
},
|
| 1455 |
+
{
|
| 1456 |
+
"epoch": 0.68,
|
| 1457 |
+
"learning_rate": 0.0001773010453362737,
|
| 1458 |
+
"loss": 0.695,
|
| 1459 |
+
"step": 227
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.68,
|
| 1463 |
+
"learning_rate": 0.00017709975023915949,
|
| 1464 |
+
"loss": 0.6352,
|
| 1465 |
+
"step": 228
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.68,
|
| 1469 |
+
"learning_rate": 0.00017689768187587732,
|
| 1470 |
+
"loss": 0.6911,
|
| 1471 |
+
"step": 229
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
"epoch": 0.69,
|
| 1475 |
+
"learning_rate": 0.0001766948422730567,
|
| 1476 |
+
"loss": 0.7189,
|
| 1477 |
+
"step": 230
|
| 1478 |
+
},
|
| 1479 |
+
{
|
| 1480 |
+
"epoch": 0.69,
|
| 1481 |
+
"learning_rate": 0.00017649123346506223,
|
| 1482 |
+
"loss": 0.6838,
|
| 1483 |
+
"step": 231
|
| 1484 |
+
},
|
| 1485 |
+
{
|
| 1486 |
+
"epoch": 0.69,
|
| 1487 |
+
"learning_rate": 0.0001762868574939732,
|
| 1488 |
+
"loss": 0.7209,
|
| 1489 |
+
"step": 232
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"epoch": 0.7,
|
| 1493 |
+
"learning_rate": 0.00017608171640956313,
|
| 1494 |
+
"loss": 0.6719,
|
| 1495 |
+
"step": 233
|
| 1496 |
+
},
|
| 1497 |
+
{
|
| 1498 |
+
"epoch": 0.7,
|
| 1499 |
+
"learning_rate": 0.0001758758122692791,
|
| 1500 |
+
"loss": 0.6624,
|
| 1501 |
+
"step": 234
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.7,
|
| 1505 |
+
"learning_rate": 0.0001756691471382213,
|
| 1506 |
+
"loss": 0.637,
|
| 1507 |
+
"step": 235
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.71,
|
| 1511 |
+
"learning_rate": 0.00017546172308912213,
|
| 1512 |
+
"loss": 0.653,
|
| 1513 |
+
"step": 236
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"epoch": 0.71,
|
| 1517 |
+
"learning_rate": 0.0001752535422023256,
|
| 1518 |
+
"loss": 0.6368,
|
| 1519 |
+
"step": 237
|
| 1520 |
+
},
|
| 1521 |
+
{
|
| 1522 |
+
"epoch": 0.71,
|
| 1523 |
+
"learning_rate": 0.00017504460656576627,
|
| 1524 |
+
"loss": 0.6713,
|
| 1525 |
+
"step": 238
|
| 1526 |
+
},
|
| 1527 |
+
{
|
| 1528 |
+
"epoch": 0.71,
|
| 1529 |
+
"learning_rate": 0.00017483491827494847,
|
| 1530 |
+
"loss": 0.6614,
|
| 1531 |
+
"step": 239
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"epoch": 0.72,
|
| 1535 |
+
"learning_rate": 0.0001746244794329252,
|
| 1536 |
+
"loss": 0.6994,
|
| 1537 |
+
"step": 240
|
| 1538 |
+
},
|
| 1539 |
+
{
|
| 1540 |
+
"epoch": 0.72,
|
| 1541 |
+
"eval_loss": 1.0014034509658813,
|
| 1542 |
+
"eval_runtime": 15.6575,
|
| 1543 |
+
"eval_samples_per_second": 37.235,
|
| 1544 |
+
"eval_steps_per_second": 18.649,
|
| 1545 |
+
"step": 240
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 0.72,
|
| 1549 |
+
"learning_rate": 0.00017441329215027706,
|
| 1550 |
+
"loss": 0.6644,
|
| 1551 |
+
"step": 241
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"epoch": 0.72,
|
| 1555 |
+
"learning_rate": 0.0001742013585450911,
|
| 1556 |
+
"loss": 0.6374,
|
| 1557 |
+
"step": 242
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.73,
|
| 1561 |
+
"learning_rate": 0.00017398868074293948,
|
| 1562 |
+
"loss": 0.6627,
|
| 1563 |
+
"step": 243
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.73,
|
| 1567 |
+
"learning_rate": 0.00017377526087685832,
|
| 1568 |
+
"loss": 0.6936,
|
| 1569 |
+
"step": 244
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 0.73,
|
| 1573 |
+
"learning_rate": 0.00017356110108732617,
|
| 1574 |
+
"loss": 0.6419,
|
| 1575 |
+
"step": 245
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 0.73,
|
| 1579 |
+
"learning_rate": 0.0001733462035222426,
|
| 1580 |
+
"loss": 0.6402,
|
| 1581 |
+
"step": 246
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 0.74,
|
| 1585 |
+
"learning_rate": 0.0001731305703369066,
|
| 1586 |
+
"loss": 0.7028,
|
| 1587 |
+
"step": 247
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"epoch": 0.74,
|
| 1591 |
+
"learning_rate": 0.0001729142036939951,
|
| 1592 |
+
"loss": 0.6146,
|
| 1593 |
+
"step": 248
|
| 1594 |
+
},
|
| 1595 |
+
{
|
| 1596 |
+
"epoch": 0.74,
|
| 1597 |
+
"learning_rate": 0.0001726971057635411,
|
| 1598 |
+
"loss": 0.6702,
|
| 1599 |
+
"step": 249
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.75,
|
| 1603 |
+
"learning_rate": 0.000172479278722912,
|
| 1604 |
+
"loss": 0.6971,
|
| 1605 |
+
"step": 250
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.75,
|
| 1609 |
+
"learning_rate": 0.00017226072475678782,
|
| 1610 |
+
"loss": 0.6289,
|
| 1611 |
+
"step": 251
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 0.75,
|
| 1615 |
+
"learning_rate": 0.0001720414460571392,
|
| 1616 |
+
"loss": 0.6786,
|
| 1617 |
+
"step": 252
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"epoch": 0.76,
|
| 1621 |
+
"learning_rate": 0.0001718214448232054,
|
| 1622 |
+
"loss": 0.6599,
|
| 1623 |
+
"step": 253
|
| 1624 |
+
},
|
| 1625 |
+
{
|
| 1626 |
+
"epoch": 0.76,
|
| 1627 |
+
"learning_rate": 0.0001716007232614723,
|
| 1628 |
+
"loss": 0.656,
|
| 1629 |
+
"step": 254
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"epoch": 0.76,
|
| 1633 |
+
"learning_rate": 0.00017137928358565028,
|
| 1634 |
+
"loss": 0.7092,
|
| 1635 |
+
"step": 255
|
| 1636 |
+
},
|
| 1637 |
+
{
|
| 1638 |
+
"epoch": 0.76,
|
| 1639 |
+
"learning_rate": 0.000171157128016652,
|
| 1640 |
+
"loss": 0.6596,
|
| 1641 |
+
"step": 256
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.77,
|
| 1645 |
+
"learning_rate": 0.00017093425878257005,
|
| 1646 |
+
"loss": 0.6937,
|
| 1647 |
+
"step": 257
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.77,
|
| 1651 |
+
"learning_rate": 0.00017071067811865476,
|
| 1652 |
+
"loss": 0.7027,
|
| 1653 |
+
"step": 258
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 0.77,
|
| 1657 |
+
"learning_rate": 0.00017048638826729163,
|
| 1658 |
+
"loss": 0.6776,
|
| 1659 |
+
"step": 259
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 0.78,
|
| 1663 |
+
"learning_rate": 0.0001702613914779789,
|
| 1664 |
+
"loss": 0.7012,
|
| 1665 |
+
"step": 260
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 0.78,
|
| 1669 |
+
"eval_loss": 0.9995876550674438,
|
| 1670 |
+
"eval_runtime": 15.664,
|
| 1671 |
+
"eval_samples_per_second": 37.219,
|
| 1672 |
+
"eval_steps_per_second": 18.641,
|
| 1673 |
+
"step": 260
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 0.78,
|
| 1677 |
+
"learning_rate": 0.00017003569000730498,
|
| 1678 |
+
"loss": 0.6786,
|
| 1679 |
+
"step": 261
|
| 1680 |
+
},
|
| 1681 |
+
{
|
| 1682 |
+
"epoch": 0.78,
|
| 1683 |
+
"learning_rate": 0.0001698092861189259,
|
| 1684 |
+
"loss": 0.7071,
|
| 1685 |
+
"step": 262
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 0.79,
|
| 1689 |
+
"learning_rate": 0.00016958218208354252,
|
| 1690 |
+
"loss": 0.6556,
|
| 1691 |
+
"step": 263
|
| 1692 |
+
},
|
| 1693 |
+
{
|
| 1694 |
+
"epoch": 0.79,
|
| 1695 |
+
"learning_rate": 0.00016935438017887772,
|
| 1696 |
+
"loss": 0.6418,
|
| 1697 |
+
"step": 264
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.79,
|
| 1701 |
+
"learning_rate": 0.0001691258826896536,
|
| 1702 |
+
"loss": 0.6726,
|
| 1703 |
+
"step": 265
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.79,
|
| 1707 |
+
"learning_rate": 0.00016889669190756868,
|
| 1708 |
+
"loss": 0.6514,
|
| 1709 |
+
"step": 266
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"epoch": 0.8,
|
| 1713 |
+
"learning_rate": 0.00016866681013127466,
|
| 1714 |
+
"loss": 0.6914,
|
| 1715 |
+
"step": 267
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 0.8,
|
| 1719 |
+
"learning_rate": 0.00016843623966635366,
|
| 1720 |
+
"loss": 0.6884,
|
| 1721 |
+
"step": 268
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 0.8,
|
| 1725 |
+
"learning_rate": 0.00016820498282529479,
|
| 1726 |
+
"loss": 0.6624,
|
| 1727 |
+
"step": 269
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"epoch": 0.81,
|
| 1731 |
+
"learning_rate": 0.0001679730419274713,
|
| 1732 |
+
"loss": 0.7241,
|
| 1733 |
+
"step": 270
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"epoch": 0.81,
|
| 1737 |
+
"learning_rate": 0.00016774041929911698,
|
| 1738 |
+
"loss": 0.6923,
|
| 1739 |
+
"step": 271
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.81,
|
| 1743 |
+
"learning_rate": 0.0001675071172733031,
|
| 1744 |
+
"loss": 0.6817,
|
| 1745 |
+
"step": 272
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.82,
|
| 1749 |
+
"learning_rate": 0.00016727313818991487,
|
| 1750 |
+
"loss": 0.7042,
|
| 1751 |
+
"step": 273
|
| 1752 |
+
},
|
| 1753 |
+
{
|
| 1754 |
+
"epoch": 0.82,
|
| 1755 |
+
"learning_rate": 0.00016703848439562785,
|
| 1756 |
+
"loss": 0.66,
|
| 1757 |
+
"step": 274
|
| 1758 |
+
},
|
| 1759 |
+
{
|
| 1760 |
+
"epoch": 0.82,
|
| 1761 |
+
"learning_rate": 0.00016680315824388483,
|
| 1762 |
+
"loss": 0.662,
|
| 1763 |
+
"step": 275
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 0.82,
|
| 1767 |
+
"learning_rate": 0.00016656716209487174,
|
| 1768 |
+
"loss": 0.6174,
|
| 1769 |
+
"step": 276
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 0.83,
|
| 1773 |
+
"learning_rate": 0.00016633049831549424,
|
| 1774 |
+
"loss": 0.6684,
|
| 1775 |
+
"step": 277
|
| 1776 |
+
},
|
| 1777 |
+
{
|
| 1778 |
+
"epoch": 0.83,
|
| 1779 |
+
"learning_rate": 0.0001660931692793541,
|
| 1780 |
+
"loss": 0.6581,
|
| 1781 |
+
"step": 278
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 0.83,
|
| 1785 |
+
"learning_rate": 0.00016585517736672498,
|
| 1786 |
+
"loss": 0.6835,
|
| 1787 |
+
"step": 279
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.84,
|
| 1791 |
+
"learning_rate": 0.000165616524964529,
|
| 1792 |
+
"loss": 0.6599,
|
| 1793 |
+
"step": 280
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"epoch": 0.84,
|
| 1797 |
+
"eval_loss": 0.9926242828369141,
|
| 1798 |
+
"eval_runtime": 15.669,
|
| 1799 |
+
"eval_samples_per_second": 37.207,
|
| 1800 |
+
"eval_steps_per_second": 18.636,
|
| 1801 |
+
"step": 280
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.84,
|
| 1805 |
+
"learning_rate": 0.00016537721446631252,
|
| 1806 |
+
"loss": 0.6619,
|
| 1807 |
+
"step": 281
|
| 1808 |
+
},
|
| 1809 |
+
{
|
| 1810 |
+
"epoch": 0.84,
|
| 1811 |
+
"learning_rate": 0.00016513724827222227,
|
| 1812 |
+
"loss": 0.6557,
|
| 1813 |
+
"step": 282
|
| 1814 |
+
},
|
| 1815 |
+
{
|
| 1816 |
+
"epoch": 0.85,
|
| 1817 |
+
"learning_rate": 0.00016489662878898113,
|
| 1818 |
+
"loss": 0.6577,
|
| 1819 |
+
"step": 283
|
| 1820 |
+
},
|
| 1821 |
+
{
|
| 1822 |
+
"epoch": 0.85,
|
| 1823 |
+
"learning_rate": 0.00016465535842986434,
|
| 1824 |
+
"loss": 0.6423,
|
| 1825 |
+
"step": 284
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"epoch": 0.85,
|
| 1829 |
+
"learning_rate": 0.00016441343961467471,
|
| 1830 |
+
"loss": 0.6472,
|
| 1831 |
+
"step": 285
|
| 1832 |
+
},
|
| 1833 |
+
{
|
| 1834 |
+
"epoch": 0.85,
|
| 1835 |
+
"learning_rate": 0.000164170874769719,
|
| 1836 |
+
"loss": 0.6434,
|
| 1837 |
+
"step": 286
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 0.86,
|
| 1841 |
+
"learning_rate": 0.00016392766632778312,
|
| 1842 |
+
"loss": 0.6461,
|
| 1843 |
+
"step": 287
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.86,
|
| 1847 |
+
"learning_rate": 0.00016368381672810786,
|
| 1848 |
+
"loss": 0.6857,
|
| 1849 |
+
"step": 288
|
| 1850 |
+
},
|
| 1851 |
+
{
|
| 1852 |
+
"epoch": 0.86,
|
| 1853 |
+
"learning_rate": 0.00016343932841636456,
|
| 1854 |
+
"loss": 0.6927,
|
| 1855 |
+
"step": 289
|
| 1856 |
+
},
|
| 1857 |
+
{
|
| 1858 |
+
"epoch": 0.87,
|
| 1859 |
+
"learning_rate": 0.0001631942038446304,
|
| 1860 |
+
"loss": 0.6263,
|
| 1861 |
+
"step": 290
|
| 1862 |
+
},
|
| 1863 |
+
{
|
| 1864 |
+
"epoch": 0.87,
|
| 1865 |
+
"learning_rate": 0.00016294844547136395,
|
| 1866 |
+
"loss": 0.6857,
|
| 1867 |
+
"step": 291
|
| 1868 |
+
},
|
| 1869 |
+
{
|
| 1870 |
+
"epoch": 0.87,
|
| 1871 |
+
"learning_rate": 0.00016270205576138032,
|
| 1872 |
+
"loss": 0.682,
|
| 1873 |
+
"step": 292
|
| 1874 |
+
},
|
| 1875 |
+
{
|
| 1876 |
+
"epoch": 0.88,
|
| 1877 |
+
"learning_rate": 0.0001624550371858267,
|
| 1878 |
+
"loss": 0.6964,
|
| 1879 |
+
"step": 293
|
| 1880 |
+
},
|
| 1881 |
+
{
|
| 1882 |
+
"epoch": 0.88,
|
| 1883 |
+
"learning_rate": 0.00016220739222215738,
|
| 1884 |
+
"loss": 0.6261,
|
| 1885 |
+
"step": 294
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 0.88,
|
| 1889 |
+
"learning_rate": 0.00016195912335410895,
|
| 1890 |
+
"loss": 0.6848,
|
| 1891 |
+
"step": 295
|
| 1892 |
+
},
|
| 1893 |
+
{
|
| 1894 |
+
"epoch": 0.88,
|
| 1895 |
+
"learning_rate": 0.00016171023307167545,
|
| 1896 |
+
"loss": 0.635,
|
| 1897 |
+
"step": 296
|
| 1898 |
+
},
|
| 1899 |
+
{
|
| 1900 |
+
"epoch": 0.89,
|
| 1901 |
+
"learning_rate": 0.0001614607238710833,
|
| 1902 |
+
"loss": 0.6941,
|
| 1903 |
+
"step": 297
|
| 1904 |
+
},
|
| 1905 |
+
{
|
| 1906 |
+
"epoch": 0.89,
|
| 1907 |
+
"learning_rate": 0.0001612105982547663,
|
| 1908 |
+
"loss": 0.6339,
|
| 1909 |
+
"step": 298
|
| 1910 |
+
},
|
| 1911 |
+
{
|
| 1912 |
+
"epoch": 0.89,
|
| 1913 |
+
"learning_rate": 0.0001609598587313406,
|
| 1914 |
+
"loss": 0.6298,
|
| 1915 |
+
"step": 299
|
| 1916 |
+
},
|
| 1917 |
+
{
|
| 1918 |
+
"epoch": 0.9,
|
| 1919 |
+
"learning_rate": 0.00016070850781557948,
|
| 1920 |
+
"loss": 0.6401,
|
| 1921 |
+
"step": 300
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 0.9,
|
| 1925 |
+
"eval_loss": 0.9913042187690735,
|
| 1926 |
+
"eval_runtime": 15.6715,
|
| 1927 |
+
"eval_samples_per_second": 37.201,
|
| 1928 |
+
"eval_steps_per_second": 18.633,
|
| 1929 |
+
"step": 300
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 0.9,
|
| 1933 |
+
"learning_rate": 0.00016045654802838812,
|
| 1934 |
+
"loss": 0.6483,
|
| 1935 |
+
"step": 301
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 0.9,
|
| 1939 |
+
"learning_rate": 0.0001602039818967783,
|
| 1940 |
+
"loss": 0.6352,
|
| 1941 |
+
"step": 302
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.91,
|
| 1945 |
+
"learning_rate": 0.00015995081195384315,
|
| 1946 |
+
"loss": 0.6344,
|
| 1947 |
+
"step": 303
|
| 1948 |
+
},
|
| 1949 |
+
{
|
| 1950 |
+
"epoch": 0.91,
|
| 1951 |
+
"learning_rate": 0.00015969704073873157,
|
| 1952 |
+
"loss": 0.6317,
|
| 1953 |
+
"step": 304
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"epoch": 0.91,
|
| 1957 |
+
"learning_rate": 0.000159442670796623,
|
| 1958 |
+
"loss": 0.6979,
|
| 1959 |
+
"step": 305
|
| 1960 |
+
},
|
| 1961 |
+
{
|
| 1962 |
+
"epoch": 0.91,
|
| 1963 |
+
"learning_rate": 0.0001591877046787017,
|
| 1964 |
+
"loss": 0.6429,
|
| 1965 |
+
"step": 306
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"epoch": 0.92,
|
| 1969 |
+
"learning_rate": 0.00015893214494213132,
|
| 1970 |
+
"loss": 0.6493,
|
| 1971 |
+
"step": 307
|
| 1972 |
+
},
|
| 1973 |
+
{
|
| 1974 |
+
"epoch": 0.92,
|
| 1975 |
+
"learning_rate": 0.00015867599415002895,
|
| 1976 |
+
"loss": 0.6765,
|
| 1977 |
+
"step": 308
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 0.92,
|
| 1981 |
+
"learning_rate": 0.00015841925487143987,
|
| 1982 |
+
"loss": 0.6871,
|
| 1983 |
+
"step": 309
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.93,
|
| 1987 |
+
"learning_rate": 0.00015816192968131138,
|
| 1988 |
+
"loss": 0.6389,
|
| 1989 |
+
"step": 310
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"epoch": 0.93,
|
| 1993 |
+
"learning_rate": 0.00015790402116046726,
|
| 1994 |
+
"loss": 0.6002,
|
| 1995 |
+
"step": 311
|
| 1996 |
+
},
|
| 1997 |
+
{
|
| 1998 |
+
"epoch": 0.93,
|
| 1999 |
+
"learning_rate": 0.0001576455318955816,
|
| 2000 |
+
"loss": 0.6025,
|
| 2001 |
+
"step": 312
|
| 2002 |
+
},
|
| 2003 |
+
{
|
| 2004 |
+
"epoch": 0.94,
|
| 2005 |
+
"learning_rate": 0.0001573864644791532,
|
| 2006 |
+
"loss": 0.6692,
|
| 2007 |
+
"step": 313
|
| 2008 |
+
},
|
| 2009 |
+
{
|
| 2010 |
+
"epoch": 0.94,
|
| 2011 |
+
"learning_rate": 0.00015712682150947923,
|
| 2012 |
+
"loss": 0.7079,
|
| 2013 |
+
"step": 314
|
| 2014 |
+
},
|
| 2015 |
+
{
|
| 2016 |
+
"epoch": 0.94,
|
| 2017 |
+
"learning_rate": 0.00015686660559062945,
|
| 2018 |
+
"loss": 0.6622,
|
| 2019 |
+
"step": 315
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 0.94,
|
| 2023 |
+
"learning_rate": 0.00015660581933241993,
|
| 2024 |
+
"loss": 0.6402,
|
| 2025 |
+
"step": 316
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.95,
|
| 2029 |
+
"learning_rate": 0.00015634446535038688,
|
| 2030 |
+
"loss": 0.7251,
|
| 2031 |
+
"step": 317
|
| 2032 |
+
},
|
| 2033 |
+
{
|
| 2034 |
+
"epoch": 0.95,
|
| 2035 |
+
"learning_rate": 0.00015608254626576048,
|
| 2036 |
+
"loss": 0.6806,
|
| 2037 |
+
"step": 318
|
| 2038 |
+
},
|
| 2039 |
+
{
|
| 2040 |
+
"epoch": 0.95,
|
| 2041 |
+
"learning_rate": 0.00015582006470543855,
|
| 2042 |
+
"loss": 0.6475,
|
| 2043 |
+
"step": 319
|
| 2044 |
+
},
|
| 2045 |
+
{
|
| 2046 |
+
"epoch": 0.96,
|
| 2047 |
+
"learning_rate": 0.00015555702330196023,
|
| 2048 |
+
"loss": 0.6665,
|
| 2049 |
+
"step": 320
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"epoch": 0.96,
|
| 2053 |
+
"eval_loss": 0.9910463094711304,
|
| 2054 |
+
"eval_runtime": 15.7019,
|
| 2055 |
+
"eval_samples_per_second": 37.129,
|
| 2056 |
+
"eval_steps_per_second": 18.596,
|
| 2057 |
+
"step": 320
|
| 2058 |
+
},
|
| 2059 |
+
{
|
| 2060 |
+
"epoch": 0.96,
|
| 2061 |
+
"learning_rate": 0.00015529342469347958,
|
| 2062 |
+
"loss": 0.6674,
|
| 2063 |
+
"step": 321
|
| 2064 |
+
},
|
| 2065 |
+
{
|
| 2066 |
+
"epoch": 0.96,
|
| 2067 |
+
"learning_rate": 0.00015502927152373914,
|
| 2068 |
+
"loss": 0.6873,
|
| 2069 |
+
"step": 322
|
| 2070 |
+
},
|
| 2071 |
+
{
|
| 2072 |
+
"epoch": 0.96,
|
| 2073 |
+
"learning_rate": 0.00015476456644204328,
|
| 2074 |
+
"loss": 0.6425,
|
| 2075 |
+
"step": 323
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"epoch": 0.97,
|
| 2079 |
+
"learning_rate": 0.0001544993121032318,
|
| 2080 |
+
"loss": 0.6565,
|
| 2081 |
+
"step": 324
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.97,
|
| 2085 |
+
"learning_rate": 0.00015423351116765317,
|
| 2086 |
+
"loss": 0.6886,
|
| 2087 |
+
"step": 325
|
| 2088 |
+
},
|
| 2089 |
+
{
|
| 2090 |
+
"epoch": 0.97,
|
| 2091 |
+
"learning_rate": 0.000153967166301138,
|
| 2092 |
+
"loss": 0.6904,
|
| 2093 |
+
"step": 326
|
| 2094 |
+
},
|
| 2095 |
+
{
|
| 2096 |
+
"epoch": 0.98,
|
| 2097 |
+
"learning_rate": 0.00015370028017497217,
|
| 2098 |
+
"loss": 0.6281,
|
| 2099 |
+
"step": 327
|
| 2100 |
+
},
|
| 2101 |
+
{
|
| 2102 |
+
"epoch": 0.98,
|
| 2103 |
+
"learning_rate": 0.00015343285546587013,
|
| 2104 |
+
"loss": 0.6836,
|
| 2105 |
+
"step": 328
|
| 2106 |
+
},
|
| 2107 |
+
{
|
| 2108 |
+
"epoch": 0.98,
|
| 2109 |
+
"learning_rate": 0.00015316489485594782,
|
| 2110 |
+
"loss": 0.697,
|
| 2111 |
+
"step": 329
|
| 2112 |
+
},
|
| 2113 |
+
{
|
| 2114 |
+
"epoch": 0.99,
|
| 2115 |
+
"learning_rate": 0.00015289640103269625,
|
| 2116 |
+
"loss": 0.656,
|
| 2117 |
+
"step": 330
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 0.99,
|
| 2121 |
+
"learning_rate": 0.00015262737668895405,
|
| 2122 |
+
"loss": 0.6649,
|
| 2123 |
+
"step": 331
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 0.99,
|
| 2127 |
+
"learning_rate": 0.00015235782452288068,
|
| 2128 |
+
"loss": 0.6775,
|
| 2129 |
+
"step": 332
|
| 2130 |
+
},
|
| 2131 |
+
{
|
| 2132 |
+
"epoch": 0.99,
|
| 2133 |
+
"learning_rate": 0.00015208774723792943,
|
| 2134 |
+
"loss": 0.6637,
|
| 2135 |
+
"step": 333
|
| 2136 |
+
},
|
| 2137 |
+
{
|
| 2138 |
+
"epoch": 1.0,
|
| 2139 |
+
"learning_rate": 0.0001518171475428202,
|
| 2140 |
+
"loss": 0.7175,
|
| 2141 |
+
"step": 334
|
| 2142 |
+
},
|
| 2143 |
+
{
|
| 2144 |
+
"epoch": 1.0,
|
| 2145 |
+
"learning_rate": 0.00015154602815151233,
|
| 2146 |
+
"loss": 0.6345,
|
| 2147 |
+
"step": 335
|
| 2148 |
+
},
|
| 2149 |
+
{
|
| 2150 |
+
"epoch": 1.0,
|
| 2151 |
+
"learning_rate": 0.00015127439178317745,
|
| 2152 |
+
"loss": 0.6214,
|
| 2153 |
+
"step": 336
|
| 2154 |
+
},
|
| 2155 |
+
{
|
| 2156 |
+
"epoch": 1.01,
|
| 2157 |
+
"learning_rate": 0.00015100224116217217,
|
| 2158 |
+
"loss": 0.6026,
|
| 2159 |
+
"step": 337
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"epoch": 1.01,
|
| 2163 |
+
"learning_rate": 0.00015072957901801076,
|
| 2164 |
+
"loss": 0.6383,
|
| 2165 |
+
"step": 338
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 1.01,
|
| 2169 |
+
"learning_rate": 0.00015045640808533772,
|
| 2170 |
+
"loss": 0.6026,
|
| 2171 |
+
"step": 339
|
| 2172 |
+
},
|
| 2173 |
+
{
|
| 2174 |
+
"epoch": 1.02,
|
| 2175 |
+
"learning_rate": 0.0001501827311039005,
|
| 2176 |
+
"loss": 0.5771,
|
| 2177 |
+
"step": 340
|
| 2178 |
+
},
|
| 2179 |
+
{
|
| 2180 |
+
"epoch": 1.02,
|
| 2181 |
+
"eval_loss": 0.9907026886940002,
|
| 2182 |
+
"eval_runtime": 15.6789,
|
| 2183 |
+
"eval_samples_per_second": 37.184,
|
| 2184 |
+
"eval_steps_per_second": 18.624,
|
| 2185 |
+
"step": 340
|
| 2186 |
+
},
|
| 2187 |
+
{
|
| 2188 |
+
"epoch": 1.02,
|
| 2189 |
+
"learning_rate": 0.00014990855081852185,
|
| 2190 |
+
"loss": 0.6087,
|
| 2191 |
+
"step": 341
|
| 2192 |
+
},
|
| 2193 |
+
{
|
| 2194 |
+
"epoch": 1.02,
|
| 2195 |
+
"learning_rate": 0.0001496338699790724,
|
| 2196 |
+
"loss": 0.6411,
|
| 2197 |
+
"step": 342
|
| 2198 |
+
},
|
| 2199 |
+
{
|
| 2200 |
+
"epoch": 1.02,
|
| 2201 |
+
"learning_rate": 0.00014935869134044308,
|
| 2202 |
+
"loss": 0.6074,
|
| 2203 |
+
"step": 343
|
| 2204 |
+
},
|
| 2205 |
+
{
|
| 2206 |
+
"epoch": 1.03,
|
| 2207 |
+
"learning_rate": 0.00014908301766251739,
|
| 2208 |
+
"loss": 0.5877,
|
| 2209 |
+
"step": 344
|
| 2210 |
+
},
|
| 2211 |
+
{
|
| 2212 |
+
"epoch": 1.03,
|
| 2213 |
+
"learning_rate": 0.00014880685171014382,
|
| 2214 |
+
"loss": 0.5731,
|
| 2215 |
+
"step": 345
|
| 2216 |
+
},
|
| 2217 |
+
{
|
| 2218 |
+
"epoch": 1.03,
|
| 2219 |
+
"learning_rate": 0.00014853019625310813,
|
| 2220 |
+
"loss": 0.6113,
|
| 2221 |
+
"step": 346
|
| 2222 |
+
},
|
| 2223 |
+
{
|
| 2224 |
+
"epoch": 1.04,
|
| 2225 |
+
"learning_rate": 0.00014825305406610545,
|
| 2226 |
+
"loss": 0.5965,
|
| 2227 |
+
"step": 347
|
| 2228 |
+
},
|
| 2229 |
+
{
|
| 2230 |
+
"epoch": 1.04,
|
| 2231 |
+
"learning_rate": 0.00014797542792871265,
|
| 2232 |
+
"loss": 0.6175,
|
| 2233 |
+
"step": 348
|
| 2234 |
+
},
|
| 2235 |
+
{
|
| 2236 |
+
"epoch": 1.04,
|
| 2237 |
+
"learning_rate": 0.0001476973206253602,
|
| 2238 |
+
"loss": 0.6018,
|
| 2239 |
+
"step": 349
|
| 2240 |
+
},
|
| 2241 |
+
{
|
| 2242 |
+
"epoch": 1.05,
|
| 2243 |
+
"learning_rate": 0.0001474187349453045,
|
| 2244 |
+
"loss": 0.6039,
|
| 2245 |
+
"step": 350
|
| 2246 |
+
},
|
| 2247 |
+
{
|
| 2248 |
+
"epoch": 1.05,
|
| 2249 |
+
"learning_rate": 0.0001471396736825998,
|
| 2250 |
+
"loss": 0.5692,
|
| 2251 |
+
"step": 351
|
| 2252 |
+
},
|
| 2253 |
+
{
|
| 2254 |
+
"epoch": 1.05,
|
| 2255 |
+
"learning_rate": 0.00014686013963607,
|
| 2256 |
+
"loss": 0.6234,
|
| 2257 |
+
"step": 352
|
| 2258 |
+
},
|
| 2259 |
+
{
|
| 2260 |
+
"epoch": 1.05,
|
| 2261 |
+
"learning_rate": 0.00014658013560928096,
|
| 2262 |
+
"loss": 0.5961,
|
| 2263 |
+
"step": 353
|
| 2264 |
+
},
|
| 2265 |
+
{
|
| 2266 |
+
"epoch": 1.06,
|
| 2267 |
+
"learning_rate": 0.00014629966441051208,
|
| 2268 |
+
"loss": 0.6315,
|
| 2269 |
+
"step": 354
|
| 2270 |
+
},
|
| 2271 |
+
{
|
| 2272 |
+
"epoch": 1.06,
|
| 2273 |
+
"learning_rate": 0.00014601872885272824,
|
| 2274 |
+
"loss": 0.6223,
|
| 2275 |
+
"step": 355
|
| 2276 |
+
},
|
| 2277 |
+
{
|
| 2278 |
+
"epoch": 1.06,
|
| 2279 |
+
"learning_rate": 0.0001457373317535515,
|
| 2280 |
+
"loss": 0.6557,
|
| 2281 |
+
"step": 356
|
| 2282 |
+
},
|
| 2283 |
+
{
|
| 2284 |
+
"epoch": 1.07,
|
| 2285 |
+
"learning_rate": 0.00014545547593523307,
|
| 2286 |
+
"loss": 0.6012,
|
| 2287 |
+
"step": 357
|
| 2288 |
+
},
|
| 2289 |
+
{
|
| 2290 |
+
"epoch": 1.07,
|
| 2291 |
+
"learning_rate": 0.0001451731642246247,
|
| 2292 |
+
"loss": 0.6405,
|
| 2293 |
+
"step": 358
|
| 2294 |
+
},
|
| 2295 |
+
{
|
| 2296 |
+
"epoch": 1.07,
|
| 2297 |
+
"learning_rate": 0.0001448903994531506,
|
| 2298 |
+
"loss": 0.6106,
|
| 2299 |
+
"step": 359
|
| 2300 |
+
},
|
| 2301 |
+
{
|
| 2302 |
+
"epoch": 1.08,
|
| 2303 |
+
"learning_rate": 0.00014460718445677876,
|
| 2304 |
+
"loss": 0.6286,
|
| 2305 |
+
"step": 360
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 1.08,
|
| 2309 |
+
"eval_loss": 0.9830257892608643,
|
| 2310 |
+
"eval_runtime": 15.7168,
|
| 2311 |
+
"eval_samples_per_second": 37.094,
|
| 2312 |
+
"eval_steps_per_second": 18.579,
|
| 2313 |
+
"step": 360
|
| 2314 |
+
},
|
| 2315 |
+
{
|
| 2316 |
+
"epoch": 1.08,
|
| 2317 |
+
"learning_rate": 0.00014432352207599286,
|
| 2318 |
+
"loss": 0.626,
|
| 2319 |
+
"step": 361
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 1.08,
|
| 2323 |
+
"learning_rate": 0.00014403941515576344,
|
| 2324 |
+
"loss": 0.6169,
|
| 2325 |
+
"step": 362
|
| 2326 |
+
},
|
| 2327 |
+
{
|
| 2328 |
+
"epoch": 1.08,
|
| 2329 |
+
"learning_rate": 0.0001437548665455196,
|
| 2330 |
+
"loss": 0.572,
|
| 2331 |
+
"step": 363
|
| 2332 |
+
},
|
| 2333 |
+
{
|
| 2334 |
+
"epoch": 1.09,
|
| 2335 |
+
"learning_rate": 0.00014346987909912023,
|
| 2336 |
+
"loss": 0.6255,
|
| 2337 |
+
"step": 364
|
| 2338 |
+
},
|
| 2339 |
+
{
|
| 2340 |
+
"epoch": 1.09,
|
| 2341 |
+
"learning_rate": 0.0001431844556748257,
|
| 2342 |
+
"loss": 0.6036,
|
| 2343 |
+
"step": 365
|
| 2344 |
+
},
|
| 2345 |
+
{
|
| 2346 |
+
"epoch": 1.09,
|
| 2347 |
+
"learning_rate": 0.00014289859913526874,
|
| 2348 |
+
"loss": 0.5804,
|
| 2349 |
+
"step": 366
|
| 2350 |
+
},
|
| 2351 |
+
{
|
| 2352 |
+
"epoch": 1.1,
|
| 2353 |
+
"learning_rate": 0.00014261231234742619,
|
| 2354 |
+
"loss": 0.5898,
|
| 2355 |
+
"step": 367
|
| 2356 |
+
},
|
| 2357 |
+
{
|
| 2358 |
+
"epoch": 1.1,
|
| 2359 |
+
"learning_rate": 0.00014232559818258984,
|
| 2360 |
+
"loss": 0.6358,
|
| 2361 |
+
"step": 368
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 1.1,
|
| 2365 |
+
"learning_rate": 0.000142038459516338,
|
| 2366 |
+
"loss": 0.5652,
|
| 2367 |
+
"step": 369
|
| 2368 |
+
},
|
| 2369 |
+
{
|
| 2370 |
+
"epoch": 1.11,
|
| 2371 |
+
"learning_rate": 0.00014175089922850633,
|
| 2372 |
+
"loss": 0.6259,
|
| 2373 |
+
"step": 370
|
| 2374 |
+
},
|
| 2375 |
+
{
|
| 2376 |
+
"epoch": 1.11,
|
| 2377 |
+
"learning_rate": 0.00014146292020315924,
|
| 2378 |
+
"loss": 0.6309,
|
| 2379 |
+
"step": 371
|
| 2380 |
+
},
|
| 2381 |
+
{
|
| 2382 |
+
"epoch": 1.11,
|
| 2383 |
+
"learning_rate": 0.00014117452532856083,
|
| 2384 |
+
"loss": 0.6325,
|
| 2385 |
+
"step": 372
|
| 2386 |
+
},
|
| 2387 |
+
{
|
| 2388 |
+
"epoch": 1.11,
|
| 2389 |
+
"learning_rate": 0.0001408857174971458,
|
| 2390 |
+
"loss": 0.5984,
|
| 2391 |
+
"step": 373
|
| 2392 |
+
},
|
| 2393 |
+
{
|
| 2394 |
+
"epoch": 1.12,
|
| 2395 |
+
"learning_rate": 0.0001405964996054907,
|
| 2396 |
+
"loss": 0.5981,
|
| 2397 |
+
"step": 374
|
| 2398 |
+
},
|
| 2399 |
+
{
|
| 2400 |
+
"epoch": 1.12,
|
| 2401 |
+
"learning_rate": 0.00014030687455428474,
|
| 2402 |
+
"loss": 0.6407,
|
| 2403 |
+
"step": 375
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"epoch": 1.12,
|
| 2407 |
+
"learning_rate": 0.00014001684524830057,
|
| 2408 |
+
"loss": 0.5686,
|
| 2409 |
+
"step": 376
|
| 2410 |
+
},
|
| 2411 |
+
{
|
| 2412 |
+
"epoch": 1.13,
|
| 2413 |
+
"learning_rate": 0.0001397264145963655,
|
| 2414 |
+
"loss": 0.6151,
|
| 2415 |
+
"step": 377
|
| 2416 |
+
},
|
| 2417 |
+
{
|
| 2418 |
+
"epoch": 1.13,
|
| 2419 |
+
"learning_rate": 0.00013943558551133186,
|
| 2420 |
+
"loss": 0.5925,
|
| 2421 |
+
"step": 378
|
| 2422 |
+
},
|
| 2423 |
+
{
|
| 2424 |
+
"epoch": 1.13,
|
| 2425 |
+
"learning_rate": 0.00013914436091004827,
|
| 2426 |
+
"loss": 0.5872,
|
| 2427 |
+
"step": 379
|
| 2428 |
+
},
|
| 2429 |
+
{
|
| 2430 |
+
"epoch": 1.14,
|
| 2431 |
+
"learning_rate": 0.00013885274371333,
|
| 2432 |
+
"loss": 0.6064,
|
| 2433 |
+
"step": 380
|
| 2434 |
+
},
|
| 2435 |
+
{
|
| 2436 |
+
"epoch": 1.14,
|
| 2437 |
+
"eval_loss": 0.9865307807922363,
|
| 2438 |
+
"eval_runtime": 15.7209,
|
| 2439 |
+
"eval_samples_per_second": 37.084,
|
| 2440 |
+
"eval_steps_per_second": 18.574,
|
| 2441 |
+
"step": 380
|
| 2442 |
+
},
|
| 2443 |
+
{
|
| 2444 |
+
"epoch": 1.14,
|
| 2445 |
+
"learning_rate": 0.00013856073684592995,
|
| 2446 |
+
"loss": 0.6151,
|
| 2447 |
+
"step": 381
|
| 2448 |
+
},
|
| 2449 |
+
{
|
| 2450 |
+
"epoch": 1.14,
|
| 2451 |
+
"learning_rate": 0.000138268343236509,
|
| 2452 |
+
"loss": 0.6262,
|
| 2453 |
+
"step": 382
|
| 2454 |
+
},
|
| 2455 |
+
{
|
| 2456 |
+
"epoch": 1.14,
|
| 2457 |
+
"learning_rate": 0.000137975565817607,
|
| 2458 |
+
"loss": 0.5727,
|
| 2459 |
+
"step": 383
|
| 2460 |
+
},
|
| 2461 |
+
{
|
| 2462 |
+
"epoch": 1.15,
|
| 2463 |
+
"learning_rate": 0.00013768240752561314,
|
| 2464 |
+
"loss": 0.6486,
|
| 2465 |
+
"step": 384
|
| 2466 |
+
},
|
| 2467 |
+
{
|
| 2468 |
+
"epoch": 1.15,
|
| 2469 |
+
"learning_rate": 0.00013738887130073654,
|
| 2470 |
+
"loss": 0.6102,
|
| 2471 |
+
"step": 385
|
| 2472 |
+
},
|
| 2473 |
+
{
|
| 2474 |
+
"epoch": 1.15,
|
| 2475 |
+
"learning_rate": 0.0001370949600869768,
|
| 2476 |
+
"loss": 0.591,
|
| 2477 |
+
"step": 386
|
| 2478 |
+
},
|
| 2479 |
+
{
|
| 2480 |
+
"epoch": 1.16,
|
| 2481 |
+
"learning_rate": 0.00013680067683209438,
|
| 2482 |
+
"loss": 0.6336,
|
| 2483 |
+
"step": 387
|
| 2484 |
+
},
|
| 2485 |
+
{
|
| 2486 |
+
"epoch": 1.16,
|
| 2487 |
+
"learning_rate": 0.00013650602448758112,
|
| 2488 |
+
"loss": 0.6699,
|
| 2489 |
+
"step": 388
|
| 2490 |
+
},
|
| 2491 |
+
{
|
| 2492 |
+
"epoch": 1.16,
|
| 2493 |
+
"learning_rate": 0.00013621100600863065,
|
| 2494 |
+
"loss": 0.6317,
|
| 2495 |
+
"step": 389
|
| 2496 |
+
},
|
| 2497 |
+
{
|
| 2498 |
+
"epoch": 1.17,
|
| 2499 |
+
"learning_rate": 0.0001359156243541087,
|
| 2500 |
+
"loss": 0.6129,
|
| 2501 |
+
"step": 390
|
| 2502 |
+
},
|
| 2503 |
+
{
|
| 2504 |
+
"epoch": 1.17,
|
| 2505 |
+
"learning_rate": 0.00013561988248652346,
|
| 2506 |
+
"loss": 0.6984,
|
| 2507 |
+
"step": 391
|
| 2508 |
+
},
|
| 2509 |
+
{
|
| 2510 |
+
"epoch": 1.17,
|
| 2511 |
+
"learning_rate": 0.00013532378337199582,
|
| 2512 |
+
"loss": 0.5925,
|
| 2513 |
+
"step": 392
|
| 2514 |
+
},
|
| 2515 |
+
{
|
| 2516 |
+
"epoch": 1.17,
|
| 2517 |
+
"learning_rate": 0.00013502732998022966,
|
| 2518 |
+
"loss": 0.5835,
|
| 2519 |
+
"step": 393
|
| 2520 |
+
},
|
| 2521 |
+
{
|
| 2522 |
+
"epoch": 1.18,
|
| 2523 |
+
"learning_rate": 0.00013473052528448201,
|
| 2524 |
+
"loss": 0.5919,
|
| 2525 |
+
"step": 394
|
| 2526 |
+
},
|
| 2527 |
+
{
|
| 2528 |
+
"epoch": 1.18,
|
| 2529 |
+
"learning_rate": 0.00013443337226153344,
|
| 2530 |
+
"loss": 0.621,
|
| 2531 |
+
"step": 395
|
| 2532 |
+
},
|
| 2533 |
+
{
|
| 2534 |
+
"epoch": 1.18,
|
| 2535 |
+
"learning_rate": 0.00013413587389165784,
|
| 2536 |
+
"loss": 0.6363,
|
| 2537 |
+
"step": 396
|
| 2538 |
+
},
|
| 2539 |
+
{
|
| 2540 |
+
"epoch": 1.19,
|
| 2541 |
+
"learning_rate": 0.0001338380331585928,
|
| 2542 |
+
"loss": 0.6383,
|
| 2543 |
+
"step": 397
|
| 2544 |
+
},
|
| 2545 |
+
{
|
| 2546 |
+
"epoch": 1.19,
|
| 2547 |
+
"learning_rate": 0.00013353985304950973,
|
| 2548 |
+
"loss": 0.5803,
|
| 2549 |
+
"step": 398
|
| 2550 |
+
},
|
| 2551 |
+
{
|
| 2552 |
+
"epoch": 1.19,
|
| 2553 |
+
"learning_rate": 0.0001332413365549836,
|
| 2554 |
+
"loss": 0.6378,
|
| 2555 |
+
"step": 399
|
| 2556 |
+
},
|
| 2557 |
+
{
|
| 2558 |
+
"epoch": 1.19,
|
| 2559 |
+
"learning_rate": 0.00013294248666896328,
|
| 2560 |
+
"loss": 0.5976,
|
| 2561 |
+
"step": 400
|
| 2562 |
+
},
|
| 2563 |
+
{
|
| 2564 |
+
"epoch": 1.19,
|
| 2565 |
+
"eval_loss": 0.980188250541687,
|
| 2566 |
+
"eval_runtime": 15.7209,
|
| 2567 |
+
"eval_samples_per_second": 37.084,
|
| 2568 |
+
"eval_steps_per_second": 18.574,
|
| 2569 |
+
"step": 400
|
| 2570 |
+
},
|
| 2571 |
+
{
|
| 2572 |
+
"epoch": 1.2,
|
| 2573 |
+
"learning_rate": 0.00013264330638874128,
|
| 2574 |
+
"loss": 0.6282,
|
| 2575 |
+
"step": 401
|
| 2576 |
+
},
|
| 2577 |
+
{
|
| 2578 |
+
"epoch": 1.2,
|
| 2579 |
+
"learning_rate": 0.0001323437987149238,
|
| 2580 |
+
"loss": 0.6146,
|
| 2581 |
+
"step": 402
|
| 2582 |
+
},
|
| 2583 |
+
{
|
| 2584 |
+
"epoch": 1.2,
|
| 2585 |
+
"learning_rate": 0.00013204396665140067,
|
| 2586 |
+
"loss": 0.6089,
|
| 2587 |
+
"step": 403
|
| 2588 |
+
},
|
| 2589 |
+
{
|
| 2590 |
+
"epoch": 1.21,
|
| 2591 |
+
"learning_rate": 0.00013174381320531505,
|
| 2592 |
+
"loss": 0.5657,
|
| 2593 |
+
"step": 404
|
| 2594 |
+
},
|
| 2595 |
+
{
|
| 2596 |
+
"epoch": 1.21,
|
| 2597 |
+
"learning_rate": 0.0001314433413870334,
|
| 2598 |
+
"loss": 0.6638,
|
| 2599 |
+
"step": 405
|
| 2600 |
+
},
|
| 2601 |
+
{
|
| 2602 |
+
"epoch": 1.21,
|
| 2603 |
+
"learning_rate": 0.0001311425542101154,
|
| 2604 |
+
"loss": 0.6129,
|
| 2605 |
+
"step": 406
|
| 2606 |
+
},
|
| 2607 |
+
{
|
| 2608 |
+
"epoch": 1.22,
|
| 2609 |
+
"learning_rate": 0.0001308414546912834,
|
| 2610 |
+
"loss": 0.5862,
|
| 2611 |
+
"step": 407
|
| 2612 |
+
},
|
| 2613 |
+
{
|
| 2614 |
+
"epoch": 1.22,
|
| 2615 |
+
"learning_rate": 0.00013054004585039258,
|
| 2616 |
+
"loss": 0.5759,
|
| 2617 |
+
"step": 408
|
| 2618 |
+
},
|
| 2619 |
+
{
|
| 2620 |
+
"epoch": 1.22,
|
| 2621 |
+
"learning_rate": 0.00013023833071040025,
|
| 2622 |
+
"loss": 0.6275,
|
| 2623 |
+
"step": 409
|
| 2624 |
+
},
|
| 2625 |
+
{
|
| 2626 |
+
"epoch": 1.22,
|
| 2627 |
+
"learning_rate": 0.00012993631229733582,
|
| 2628 |
+
"loss": 0.6095,
|
| 2629 |
+
"step": 410
|
| 2630 |
+
},
|
| 2631 |
+
{
|
| 2632 |
+
"epoch": 1.23,
|
| 2633 |
+
"learning_rate": 0.0001296339936402703,
|
| 2634 |
+
"loss": 0.6187,
|
| 2635 |
+
"step": 411
|
| 2636 |
+
},
|
| 2637 |
+
{
|
| 2638 |
+
"epoch": 1.23,
|
| 2639 |
+
"learning_rate": 0.00012933137777128607,
|
| 2640 |
+
"loss": 0.603,
|
| 2641 |
+
"step": 412
|
| 2642 |
+
},
|
| 2643 |
+
{
|
| 2644 |
+
"epoch": 1.23,
|
| 2645 |
+
"learning_rate": 0.00012902846772544624,
|
| 2646 |
+
"loss": 0.5911,
|
| 2647 |
+
"step": 413
|
| 2648 |
+
},
|
| 2649 |
+
{
|
| 2650 |
+
"epoch": 1.24,
|
| 2651 |
+
"learning_rate": 0.0001287252665407645,
|
| 2652 |
+
"loss": 0.5979,
|
| 2653 |
+
"step": 414
|
| 2654 |
+
},
|
| 2655 |
+
{
|
| 2656 |
+
"epoch": 1.24,
|
| 2657 |
+
"learning_rate": 0.00012842177725817434,
|
| 2658 |
+
"loss": 0.6157,
|
| 2659 |
+
"step": 415
|
| 2660 |
+
},
|
| 2661 |
+
{
|
| 2662 |
+
"epoch": 1.24,
|
| 2663 |
+
"learning_rate": 0.0001281180029214988,
|
| 2664 |
+
"loss": 0.5796,
|
| 2665 |
+
"step": 416
|
| 2666 |
+
},
|
| 2667 |
+
{
|
| 2668 |
+
"epoch": 1.25,
|
| 2669 |
+
"learning_rate": 0.00012781394657741989,
|
| 2670 |
+
"loss": 0.6215,
|
| 2671 |
+
"step": 417
|
| 2672 |
+
},
|
| 2673 |
+
{
|
| 2674 |
+
"epoch": 1.25,
|
| 2675 |
+
"learning_rate": 0.0001275096112754478,
|
| 2676 |
+
"loss": 0.5927,
|
| 2677 |
+
"step": 418
|
| 2678 |
+
},
|
| 2679 |
+
{
|
| 2680 |
+
"epoch": 1.25,
|
| 2681 |
+
"learning_rate": 0.0001272050000678908,
|
| 2682 |
+
"loss": 0.628,
|
| 2683 |
+
"step": 419
|
| 2684 |
+
},
|
| 2685 |
+
{
|
| 2686 |
+
"epoch": 1.25,
|
| 2687 |
+
"learning_rate": 0.000126900116009824,
|
| 2688 |
+
"loss": 0.5512,
|
| 2689 |
+
"step": 420
|
| 2690 |
+
},
|
| 2691 |
+
{
|
| 2692 |
+
"epoch": 1.25,
|
| 2693 |
+
"eval_loss": 0.9817403554916382,
|
| 2694 |
+
"eval_runtime": 15.7224,
|
| 2695 |
+
"eval_samples_per_second": 37.081,
|
| 2696 |
+
"eval_steps_per_second": 18.572,
|
| 2697 |
+
"step": 420
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 1.26,
|
| 2701 |
+
"learning_rate": 0.00012659496215905938,
|
| 2702 |
+
"loss": 0.6477,
|
| 2703 |
+
"step": 421
|
| 2704 |
+
},
|
| 2705 |
+
{
|
| 2706 |
+
"epoch": 1.26,
|
| 2707 |
+
"learning_rate": 0.0001262895415761145,
|
| 2708 |
+
"loss": 0.6304,
|
| 2709 |
+
"step": 422
|
| 2710 |
+
},
|
| 2711 |
+
{
|
| 2712 |
+
"epoch": 1.26,
|
| 2713 |
+
"learning_rate": 0.00012598385732418224,
|
| 2714 |
+
"loss": 0.6261,
|
| 2715 |
+
"step": 423
|
| 2716 |
+
},
|
| 2717 |
+
{
|
| 2718 |
+
"epoch": 1.27,
|
| 2719 |
+
"learning_rate": 0.00012567791246909994,
|
| 2720 |
+
"loss": 0.6472,
|
| 2721 |
+
"step": 424
|
| 2722 |
+
},
|
| 2723 |
+
{
|
| 2724 |
+
"epoch": 1.27,
|
| 2725 |
+
"learning_rate": 0.00012537171007931858,
|
| 2726 |
+
"loss": 0.6299,
|
| 2727 |
+
"step": 425
|
| 2728 |
+
},
|
| 2729 |
+
{
|
| 2730 |
+
"epoch": 1.27,
|
| 2731 |
+
"learning_rate": 0.00012506525322587207,
|
| 2732 |
+
"loss": 0.605,
|
| 2733 |
+
"step": 426
|
| 2734 |
+
},
|
| 2735 |
+
{
|
| 2736 |
+
"epoch": 1.28,
|
| 2737 |
+
"learning_rate": 0.00012475854498234648,
|
| 2738 |
+
"loss": 0.5852,
|
| 2739 |
+
"step": 427
|
| 2740 |
+
},
|
| 2741 |
+
{
|
| 2742 |
+
"epoch": 1.28,
|
| 2743 |
+
"learning_rate": 0.0001244515884248491,
|
| 2744 |
+
"loss": 0.5736,
|
| 2745 |
+
"step": 428
|
| 2746 |
+
},
|
| 2747 |
+
{
|
| 2748 |
+
"epoch": 1.28,
|
| 2749 |
+
"learning_rate": 0.0001241443866319778,
|
| 2750 |
+
"loss": 0.5795,
|
| 2751 |
+
"step": 429
|
| 2752 |
+
},
|
| 2753 |
+
{
|
| 2754 |
+
"epoch": 1.28,
|
| 2755 |
+
"learning_rate": 0.00012383694268478993,
|
| 2756 |
+
"loss": 0.6088,
|
| 2757 |
+
"step": 430
|
| 2758 |
+
},
|
| 2759 |
+
{
|
| 2760 |
+
"epoch": 1.29,
|
| 2761 |
+
"learning_rate": 0.00012352925966677147,
|
| 2762 |
+
"loss": 0.6547,
|
| 2763 |
+
"step": 431
|
| 2764 |
+
},
|
| 2765 |
+
{
|
| 2766 |
+
"epoch": 1.29,
|
| 2767 |
+
"learning_rate": 0.0001232213406638062,
|
| 2768 |
+
"loss": 0.5549,
|
| 2769 |
+
"step": 432
|
| 2770 |
+
},
|
| 2771 |
+
{
|
| 2772 |
+
"epoch": 1.29,
|
| 2773 |
+
"learning_rate": 0.00012291318876414477,
|
| 2774 |
+
"loss": 0.6398,
|
| 2775 |
+
"step": 433
|
| 2776 |
+
},
|
| 2777 |
+
{
|
| 2778 |
+
"epoch": 1.3,
|
| 2779 |
+
"learning_rate": 0.0001226048070583735,
|
| 2780 |
+
"loss": 0.6377,
|
| 2781 |
+
"step": 434
|
| 2782 |
+
},
|
| 2783 |
+
{
|
| 2784 |
+
"epoch": 1.3,
|
| 2785 |
+
"learning_rate": 0.0001222961986393836,
|
| 2786 |
+
"loss": 0.6207,
|
| 2787 |
+
"step": 435
|
| 2788 |
+
},
|
| 2789 |
+
{
|
| 2790 |
+
"epoch": 1.3,
|
| 2791 |
+
"learning_rate": 0.00012198736660234009,
|
| 2792 |
+
"loss": 0.5999,
|
| 2793 |
+
"step": 436
|
| 2794 |
+
},
|
| 2795 |
+
{
|
| 2796 |
+
"epoch": 1.31,
|
| 2797 |
+
"learning_rate": 0.00012167831404465078,
|
| 2798 |
+
"loss": 0.6088,
|
| 2799 |
+
"step": 437
|
| 2800 |
+
},
|
| 2801 |
+
{
|
| 2802 |
+
"epoch": 1.31,
|
| 2803 |
+
"learning_rate": 0.00012136904406593507,
|
| 2804 |
+
"loss": 0.6525,
|
| 2805 |
+
"step": 438
|
| 2806 |
+
},
|
| 2807 |
+
{
|
| 2808 |
+
"epoch": 1.31,
|
| 2809 |
+
"learning_rate": 0.00012105955976799314,
|
| 2810 |
+
"loss": 0.5816,
|
| 2811 |
+
"step": 439
|
| 2812 |
+
},
|
| 2813 |
+
{
|
| 2814 |
+
"epoch": 1.31,
|
| 2815 |
+
"learning_rate": 0.00012074986425477445,
|
| 2816 |
+
"loss": 0.6333,
|
| 2817 |
+
"step": 440
|
| 2818 |
+
},
|
| 2819 |
+
{
|
| 2820 |
+
"epoch": 1.31,
|
| 2821 |
+
"eval_loss": 0.9809613227844238,
|
| 2822 |
+
"eval_runtime": 15.7148,
|
| 2823 |
+
"eval_samples_per_second": 37.099,
|
| 2824 |
+
"eval_steps_per_second": 18.581,
|
| 2825 |
+
"step": 440
|
| 2826 |
+
},
|
| 2827 |
+
{
|
| 2828 |
+
"epoch": 1.32,
|
| 2829 |
+
"learning_rate": 0.00012043996063234706,
|
| 2830 |
+
"loss": 0.5735,
|
| 2831 |
+
"step": 441
|
| 2832 |
+
},
|
| 2833 |
+
{
|
| 2834 |
+
"epoch": 1.32,
|
| 2835 |
+
"learning_rate": 0.00012012985200886602,
|
| 2836 |
+
"loss": 0.5884,
|
| 2837 |
+
"step": 442
|
| 2838 |
+
},
|
| 2839 |
+
{
|
| 2840 |
+
"epoch": 1.32,
|
| 2841 |
+
"learning_rate": 0.00011981954149454262,
|
| 2842 |
+
"loss": 0.5983,
|
| 2843 |
+
"step": 443
|
| 2844 |
+
},
|
| 2845 |
+
{
|
| 2846 |
+
"epoch": 1.33,
|
| 2847 |
+
"learning_rate": 0.00011950903220161285,
|
| 2848 |
+
"loss": 0.6161,
|
| 2849 |
+
"step": 444
|
| 2850 |
+
},
|
| 2851 |
+
{
|
| 2852 |
+
"epoch": 1.33,
|
| 2853 |
+
"learning_rate": 0.00011919832724430642,
|
| 2854 |
+
"loss": 0.5827,
|
| 2855 |
+
"step": 445
|
| 2856 |
+
},
|
| 2857 |
+
{
|
| 2858 |
+
"epoch": 1.33,
|
| 2859 |
+
"learning_rate": 0.00011888742973881543,
|
| 2860 |
+
"loss": 0.5955,
|
| 2861 |
+
"step": 446
|
| 2862 |
+
},
|
| 2863 |
+
{
|
| 2864 |
+
"epoch": 1.34,
|
| 2865 |
+
"learning_rate": 0.00011857634280326311,
|
| 2866 |
+
"loss": 0.602,
|
| 2867 |
+
"step": 447
|
| 2868 |
+
},
|
| 2869 |
+
{
|
| 2870 |
+
"epoch": 1.34,
|
| 2871 |
+
"learning_rate": 0.00011826506955767258,
|
| 2872 |
+
"loss": 0.5978,
|
| 2873 |
+
"step": 448
|
| 2874 |
+
},
|
| 2875 |
+
{
|
| 2876 |
+
"epoch": 1.34,
|
| 2877 |
+
"learning_rate": 0.00011795361312393549,
|
| 2878 |
+
"loss": 0.6562,
|
| 2879 |
+
"step": 449
|
| 2880 |
+
},
|
| 2881 |
+
{
|
| 2882 |
+
"epoch": 1.34,
|
| 2883 |
+
"learning_rate": 0.00011764197662578086,
|
| 2884 |
+
"loss": 0.6053,
|
| 2885 |
+
"step": 450
|
| 2886 |
+
},
|
| 2887 |
+
{
|
| 2888 |
+
"epoch": 1.35,
|
| 2889 |
+
"learning_rate": 0.00011733016318874357,
|
| 2890 |
+
"loss": 0.6176,
|
| 2891 |
+
"step": 451
|
| 2892 |
+
},
|
| 2893 |
+
{
|
| 2894 |
+
"epoch": 1.35,
|
| 2895 |
+
"learning_rate": 0.00011701817594013312,
|
| 2896 |
+
"loss": 0.6388,
|
| 2897 |
+
"step": 452
|
| 2898 |
+
},
|
| 2899 |
+
{
|
| 2900 |
+
"epoch": 1.35,
|
| 2901 |
+
"learning_rate": 0.00011670601800900225,
|
| 2902 |
+
"loss": 0.599,
|
| 2903 |
+
"step": 453
|
| 2904 |
+
},
|
| 2905 |
+
{
|
| 2906 |
+
"epoch": 1.36,
|
| 2907 |
+
"learning_rate": 0.00011639369252611552,
|
| 2908 |
+
"loss": 0.6294,
|
| 2909 |
+
"step": 454
|
| 2910 |
+
},
|
| 2911 |
+
{
|
| 2912 |
+
"epoch": 1.36,
|
| 2913 |
+
"learning_rate": 0.00011608120262391801,
|
| 2914 |
+
"loss": 0.5844,
|
| 2915 |
+
"step": 455
|
| 2916 |
+
},
|
| 2917 |
+
{
|
| 2918 |
+
"epoch": 1.36,
|
| 2919 |
+
"learning_rate": 0.00011576855143650371,
|
| 2920 |
+
"loss": 0.6244,
|
| 2921 |
+
"step": 456
|
| 2922 |
+
},
|
| 2923 |
+
{
|
| 2924 |
+
"epoch": 1.37,
|
| 2925 |
+
"learning_rate": 0.00011545574209958432,
|
| 2926 |
+
"loss": 0.6068,
|
| 2927 |
+
"step": 457
|
| 2928 |
+
},
|
| 2929 |
+
{
|
| 2930 |
+
"epoch": 1.37,
|
| 2931 |
+
"learning_rate": 0.00011514277775045768,
|
| 2932 |
+
"loss": 0.5585,
|
| 2933 |
+
"step": 458
|
| 2934 |
+
},
|
| 2935 |
+
{
|
| 2936 |
+
"epoch": 1.37,
|
| 2937 |
+
"learning_rate": 0.0001148296615279762,
|
| 2938 |
+
"loss": 0.5998,
|
| 2939 |
+
"step": 459
|
| 2940 |
+
},
|
| 2941 |
+
{
|
| 2942 |
+
"epoch": 1.37,
|
| 2943 |
+
"learning_rate": 0.00011451639657251563,
|
| 2944 |
+
"loss": 0.5883,
|
| 2945 |
+
"step": 460
|
| 2946 |
+
},
|
| 2947 |
+
{
|
| 2948 |
+
"epoch": 1.37,
|
| 2949 |
+
"eval_loss": 0.9817206859588623,
|
| 2950 |
+
"eval_runtime": 15.8012,
|
| 2951 |
+
"eval_samples_per_second": 36.896,
|
| 2952 |
+
"eval_steps_per_second": 18.48,
|
| 2953 |
+
"step": 460
|
| 2954 |
+
},
|
| 2955 |
+
{
|
| 2956 |
+
"epoch": 1.38,
|
| 2957 |
+
"learning_rate": 0.00011420298602594332,
|
| 2958 |
+
"loss": 0.6029,
|
| 2959 |
+
"step": 461
|
| 2960 |
+
},
|
| 2961 |
+
{
|
| 2962 |
+
"epoch": 1.38,
|
| 2963 |
+
"learning_rate": 0.00011388943303158693,
|
| 2964 |
+
"loss": 0.6066,
|
| 2965 |
+
"step": 462
|
| 2966 |
+
},
|
| 2967 |
+
{
|
| 2968 |
+
"epoch": 1.38,
|
| 2969 |
+
"learning_rate": 0.00011357574073420265,
|
| 2970 |
+
"loss": 0.6229,
|
| 2971 |
+
"step": 463
|
| 2972 |
+
},
|
| 2973 |
+
{
|
| 2974 |
+
"epoch": 1.39,
|
| 2975 |
+
"learning_rate": 0.00011326191227994391,
|
| 2976 |
+
"loss": 0.62,
|
| 2977 |
+
"step": 464
|
| 2978 |
+
},
|
| 2979 |
+
{
|
| 2980 |
+
"epoch": 1.39,
|
| 2981 |
+
"learning_rate": 0.00011294795081632967,
|
| 2982 |
+
"loss": 0.6268,
|
| 2983 |
+
"step": 465
|
| 2984 |
+
},
|
| 2985 |
+
{
|
| 2986 |
+
"epoch": 1.39,
|
| 2987 |
+
"learning_rate": 0.00011263385949221295,
|
| 2988 |
+
"loss": 0.6215,
|
| 2989 |
+
"step": 466
|
| 2990 |
+
},
|
| 2991 |
+
{
|
| 2992 |
+
"epoch": 1.4,
|
| 2993 |
+
"learning_rate": 0.00011231964145774905,
|
| 2994 |
+
"loss": 0.6612,
|
| 2995 |
+
"step": 467
|
| 2996 |
+
},
|
| 2997 |
+
{
|
| 2998 |
+
"epoch": 1.4,
|
| 2999 |
+
"learning_rate": 0.0001120052998643643,
|
| 3000 |
+
"loss": 0.6015,
|
| 3001 |
+
"step": 468
|
| 3002 |
+
},
|
| 3003 |
+
{
|
| 3004 |
+
"epoch": 1.4,
|
| 3005 |
+
"learning_rate": 0.00011169083786472408,
|
| 3006 |
+
"loss": 0.6247,
|
| 3007 |
+
"step": 469
|
| 3008 |
+
},
|
| 3009 |
+
{
|
| 3010 |
+
"epoch": 1.4,
|
| 3011 |
+
"learning_rate": 0.00011137625861270151,
|
| 3012 |
+
"loss": 0.6472,
|
| 3013 |
+
"step": 470
|
| 3014 |
+
},
|
| 3015 |
+
{
|
| 3016 |
+
"epoch": 1.41,
|
| 3017 |
+
"learning_rate": 0.00011106156526334558,
|
| 3018 |
+
"loss": 0.6283,
|
| 3019 |
+
"step": 471
|
| 3020 |
+
},
|
| 3021 |
+
{
|
| 3022 |
+
"epoch": 1.41,
|
| 3023 |
+
"learning_rate": 0.00011074676097284973,
|
| 3024 |
+
"loss": 0.6026,
|
| 3025 |
+
"step": 472
|
| 3026 |
+
},
|
| 3027 |
+
{
|
| 3028 |
+
"epoch": 1.41,
|
| 3029 |
+
"learning_rate": 0.00011043184889851992,
|
| 3030 |
+
"loss": 0.669,
|
| 3031 |
+
"step": 473
|
| 3032 |
+
},
|
| 3033 |
+
{
|
| 3034 |
+
"epoch": 1.42,
|
| 3035 |
+
"learning_rate": 0.00011011683219874323,
|
| 3036 |
+
"loss": 0.6302,
|
| 3037 |
+
"step": 474
|
| 3038 |
+
},
|
| 3039 |
+
{
|
| 3040 |
+
"epoch": 1.42,
|
| 3041 |
+
"learning_rate": 0.0001098017140329561,
|
| 3042 |
+
"loss": 0.6662,
|
| 3043 |
+
"step": 475
|
| 3044 |
+
},
|
| 3045 |
+
{
|
| 3046 |
+
"epoch": 1.42,
|
| 3047 |
+
"learning_rate": 0.00010948649756161246,
|
| 3048 |
+
"loss": 0.6014,
|
| 3049 |
+
"step": 476
|
| 3050 |
+
},
|
| 3051 |
+
{
|
| 3052 |
+
"epoch": 1.42,
|
| 3053 |
+
"learning_rate": 0.00010917118594615237,
|
| 3054 |
+
"loss": 0.5959,
|
| 3055 |
+
"step": 477
|
| 3056 |
+
},
|
| 3057 |
+
{
|
| 3058 |
+
"epoch": 1.43,
|
| 3059 |
+
"learning_rate": 0.00010885578234897003,
|
| 3060 |
+
"loss": 0.5983,
|
| 3061 |
+
"step": 478
|
| 3062 |
+
},
|
| 3063 |
+
{
|
| 3064 |
+
"epoch": 1.43,
|
| 3065 |
+
"learning_rate": 0.00010854028993338221,
|
| 3066 |
+
"loss": 0.5428,
|
| 3067 |
+
"step": 479
|
| 3068 |
+
},
|
| 3069 |
+
{
|
| 3070 |
+
"epoch": 1.43,
|
| 3071 |
+
"learning_rate": 0.00010822471186359639,
|
| 3072 |
+
"loss": 0.5822,
|
| 3073 |
+
"step": 480
|
| 3074 |
+
},
|
| 3075 |
+
{
|
| 3076 |
+
"epoch": 1.43,
|
| 3077 |
+
"eval_loss": 0.978273868560791,
|
| 3078 |
+
"eval_runtime": 15.7427,
|
| 3079 |
+
"eval_samples_per_second": 37.033,
|
| 3080 |
+
"eval_steps_per_second": 18.548,
|
| 3081 |
+
"step": 480
|
| 3082 |
+
},
|
| 3083 |
+
{
|
| 3084 |
+
"epoch": 1.44,
|
| 3085 |
+
"learning_rate": 0.00010790905130467923,
|
| 3086 |
+
"loss": 0.635,
|
| 3087 |
+
"step": 481
|
| 3088 |
+
},
|
| 3089 |
+
{
|
| 3090 |
+
"epoch": 1.44,
|
| 3091 |
+
"learning_rate": 0.00010759331142252462,
|
| 3092 |
+
"loss": 0.5787,
|
| 3093 |
+
"step": 482
|
| 3094 |
+
},
|
| 3095 |
+
{
|
| 3096 |
+
"epoch": 1.44,
|
| 3097 |
+
"learning_rate": 0.00010727749538382211,
|
| 3098 |
+
"loss": 0.617,
|
| 3099 |
+
"step": 483
|
| 3100 |
+
},
|
| 3101 |
+
{
|
| 3102 |
+
"epoch": 1.45,
|
| 3103 |
+
"learning_rate": 0.00010696160635602487,
|
| 3104 |
+
"loss": 0.5646,
|
| 3105 |
+
"step": 484
|
| 3106 |
+
},
|
| 3107 |
+
{
|
| 3108 |
+
"epoch": 1.45,
|
| 3109 |
+
"learning_rate": 0.00010664564750731839,
|
| 3110 |
+
"loss": 0.6083,
|
| 3111 |
+
"step": 485
|
| 3112 |
+
},
|
| 3113 |
+
{
|
| 3114 |
+
"epoch": 1.45,
|
| 3115 |
+
"learning_rate": 0.00010632962200658815,
|
| 3116 |
+
"loss": 0.6098,
|
| 3117 |
+
"step": 486
|
| 3118 |
+
},
|
| 3119 |
+
{
|
| 3120 |
+
"epoch": 1.45,
|
| 3121 |
+
"learning_rate": 0.0001060135330233883,
|
| 3122 |
+
"loss": 0.5669,
|
| 3123 |
+
"step": 487
|
| 3124 |
+
},
|
| 3125 |
+
{
|
| 3126 |
+
"epoch": 1.46,
|
| 3127 |
+
"learning_rate": 0.00010569738372790956,
|
| 3128 |
+
"loss": 0.6169,
|
| 3129 |
+
"step": 488
|
| 3130 |
+
},
|
| 3131 |
+
{
|
| 3132 |
+
"epoch": 1.46,
|
| 3133 |
+
"learning_rate": 0.00010538117729094766,
|
| 3134 |
+
"loss": 0.595,
|
| 3135 |
+
"step": 489
|
| 3136 |
+
},
|
| 3137 |
+
{
|
| 3138 |
+
"epoch": 1.46,
|
| 3139 |
+
"learning_rate": 0.00010506491688387127,
|
| 3140 |
+
"loss": 0.6104,
|
| 3141 |
+
"step": 490
|
| 3142 |
+
},
|
| 3143 |
+
{
|
| 3144 |
+
"epoch": 1.47,
|
| 3145 |
+
"learning_rate": 0.00010474860567859057,
|
| 3146 |
+
"loss": 0.5904,
|
| 3147 |
+
"step": 491
|
| 3148 |
+
},
|
| 3149 |
+
{
|
| 3150 |
+
"epoch": 1.47,
|
| 3151 |
+
"learning_rate": 0.000104432246847525,
|
| 3152 |
+
"loss": 0.5679,
|
| 3153 |
+
"step": 492
|
| 3154 |
+
},
|
| 3155 |
+
{
|
| 3156 |
+
"epoch": 1.47,
|
| 3157 |
+
"learning_rate": 0.00010411584356357178,
|
| 3158 |
+
"loss": 0.5984,
|
| 3159 |
+
"step": 493
|
| 3160 |
+
},
|
| 3161 |
+
{
|
| 3162 |
+
"epoch": 1.48,
|
| 3163 |
+
"learning_rate": 0.00010379939900007393,
|
| 3164 |
+
"loss": 0.6033,
|
| 3165 |
+
"step": 494
|
| 3166 |
+
},
|
| 3167 |
+
{
|
| 3168 |
+
"epoch": 1.48,
|
| 3169 |
+
"learning_rate": 0.0001034829163307885,
|
| 3170 |
+
"loss": 0.6357,
|
| 3171 |
+
"step": 495
|
| 3172 |
+
},
|
| 3173 |
+
{
|
| 3174 |
+
"epoch": 1.48,
|
| 3175 |
+
"learning_rate": 0.00010316639872985472,
|
| 3176 |
+
"loss": 0.6547,
|
| 3177 |
+
"step": 496
|
| 3178 |
+
},
|
| 3179 |
+
{
|
| 3180 |
+
"epoch": 1.48,
|
| 3181 |
+
"learning_rate": 0.00010284984937176212,
|
| 3182 |
+
"loss": 0.6082,
|
| 3183 |
+
"step": 497
|
| 3184 |
+
},
|
| 3185 |
+
{
|
| 3186 |
+
"epoch": 1.49,
|
| 3187 |
+
"learning_rate": 0.00010253327143131879,
|
| 3188 |
+
"loss": 0.6176,
|
| 3189 |
+
"step": 498
|
| 3190 |
+
},
|
| 3191 |
+
{
|
| 3192 |
+
"epoch": 1.49,
|
| 3193 |
+
"learning_rate": 0.00010221666808361947,
|
| 3194 |
+
"loss": 0.5942,
|
| 3195 |
+
"step": 499
|
| 3196 |
+
},
|
| 3197 |
+
{
|
| 3198 |
+
"epoch": 1.49,
|
| 3199 |
+
"learning_rate": 0.00010190004250401368,
|
| 3200 |
+
"loss": 0.5878,
|
| 3201 |
+
"step": 500
|
| 3202 |
+
},
|
| 3203 |
+
{
|
| 3204 |
+
"epoch": 1.49,
|
| 3205 |
+
"eval_loss": 0.9756883978843689,
|
| 3206 |
+
"eval_runtime": 15.7172,
|
| 3207 |
+
"eval_samples_per_second": 37.093,
|
| 3208 |
+
"eval_steps_per_second": 18.578,
|
| 3209 |
+
"step": 500
|
| 3210 |
+
},
|
| 3211 |
+
{
|
| 3212 |
+
"epoch": 1.5,
|
| 3213 |
+
"learning_rate": 0.00010158339786807401,
|
| 3214 |
+
"loss": 0.6009,
|
| 3215 |
+
"step": 501
|
| 3216 |
+
},
|
| 3217 |
+
{
|
| 3218 |
+
"epoch": 1.5,
|
| 3219 |
+
"learning_rate": 0.00010126673735156402,
|
| 3220 |
+
"loss": 0.6042,
|
| 3221 |
+
"step": 502
|
| 3222 |
+
},
|
| 3223 |
+
{
|
| 3224 |
+
"epoch": 1.5,
|
| 3225 |
+
"learning_rate": 0.0001009500641304067,
|
| 3226 |
+
"loss": 0.6045,
|
| 3227 |
+
"step": 503
|
| 3228 |
+
},
|
| 3229 |
+
{
|
| 3230 |
+
"epoch": 1.51,
|
| 3231 |
+
"learning_rate": 0.00010063338138065234,
|
| 3232 |
+
"loss": 0.5939,
|
| 3233 |
+
"step": 504
|
| 3234 |
+
},
|
| 3235 |
+
{
|
| 3236 |
+
"epoch": 1.51,
|
| 3237 |
+
"learning_rate": 0.00010031669227844694,
|
| 3238 |
+
"loss": 0.6093,
|
| 3239 |
+
"step": 505
|
| 3240 |
+
},
|
| 3241 |
+
{
|
| 3242 |
+
"epoch": 1.51,
|
| 3243 |
+
"learning_rate": 0.0001,
|
| 3244 |
+
"loss": 0.6265,
|
| 3245 |
+
"step": 506
|
| 3246 |
+
},
|
| 3247 |
+
{
|
| 3248 |
+
"epoch": 1.51,
|
| 3249 |
+
"learning_rate": 9.968330772155311e-05,
|
| 3250 |
+
"loss": 0.5842,
|
| 3251 |
+
"step": 507
|
| 3252 |
+
},
|
| 3253 |
+
{
|
| 3254 |
+
"epoch": 1.52,
|
| 3255 |
+
"learning_rate": 9.936661861934765e-05,
|
| 3256 |
+
"loss": 0.6032,
|
| 3257 |
+
"step": 508
|
| 3258 |
+
},
|
| 3259 |
+
{
|
| 3260 |
+
"epoch": 1.52,
|
| 3261 |
+
"learning_rate": 9.904993586959332e-05,
|
| 3262 |
+
"loss": 0.5963,
|
| 3263 |
+
"step": 509
|
| 3264 |
+
},
|
| 3265 |
+
{
|
| 3266 |
+
"epoch": 1.52,
|
| 3267 |
+
"learning_rate": 9.8733262648436e-05,
|
| 3268 |
+
"loss": 0.5725,
|
| 3269 |
+
"step": 510
|
| 3270 |
+
},
|
| 3271 |
+
{
|
| 3272 |
+
"epoch": 1.53,
|
| 3273 |
+
"learning_rate": 9.841660213192605e-05,
|
| 3274 |
+
"loss": 0.6323,
|
| 3275 |
+
"step": 511
|
| 3276 |
+
},
|
| 3277 |
+
{
|
| 3278 |
+
"epoch": 1.53,
|
| 3279 |
+
"learning_rate": 9.809995749598632e-05,
|
| 3280 |
+
"loss": 0.6186,
|
| 3281 |
+
"step": 512
|
| 3282 |
+
},
|
| 3283 |
+
{
|
| 3284 |
+
"epoch": 1.53,
|
| 3285 |
+
"learning_rate": 9.778333191638055e-05,
|
| 3286 |
+
"loss": 0.6437,
|
| 3287 |
+
"step": 513
|
| 3288 |
+
},
|
| 3289 |
+
{
|
| 3290 |
+
"epoch": 1.54,
|
| 3291 |
+
"learning_rate": 9.746672856868123e-05,
|
| 3292 |
+
"loss": 0.608,
|
| 3293 |
+
"step": 514
|
| 3294 |
+
},
|
| 3295 |
+
{
|
| 3296 |
+
"epoch": 1.54,
|
| 3297 |
+
"learning_rate": 9.715015062823789e-05,
|
| 3298 |
+
"loss": 0.6013,
|
| 3299 |
+
"step": 515
|
| 3300 |
+
},
|
| 3301 |
+
{
|
| 3302 |
+
"epoch": 1.54,
|
| 3303 |
+
"learning_rate": 9.683360127014529e-05,
|
| 3304 |
+
"loss": 0.6431,
|
| 3305 |
+
"step": 516
|
| 3306 |
+
},
|
| 3307 |
+
{
|
| 3308 |
+
"epoch": 1.54,
|
| 3309 |
+
"learning_rate": 9.651708366921152e-05,
|
| 3310 |
+
"loss": 0.5867,
|
| 3311 |
+
"step": 517
|
| 3312 |
+
},
|
| 3313 |
+
{
|
| 3314 |
+
"epoch": 1.55,
|
| 3315 |
+
"learning_rate": 9.620060099992609e-05,
|
| 3316 |
+
"loss": 0.574,
|
| 3317 |
+
"step": 518
|
| 3318 |
+
},
|
| 3319 |
+
{
|
| 3320 |
+
"epoch": 1.55,
|
| 3321 |
+
"learning_rate": 9.588415643642826e-05,
|
| 3322 |
+
"loss": 0.5995,
|
| 3323 |
+
"step": 519
|
| 3324 |
+
},
|
| 3325 |
+
{
|
| 3326 |
+
"epoch": 1.55,
|
| 3327 |
+
"learning_rate": 9.556775315247501e-05,
|
| 3328 |
+
"loss": 0.5951,
|
| 3329 |
+
"step": 520
|
| 3330 |
+
},
|
| 3331 |
+
{
|
| 3332 |
+
"epoch": 1.55,
|
| 3333 |
+
"eval_loss": 0.9753234386444092,
|
| 3334 |
+
"eval_runtime": 15.77,
|
| 3335 |
+
"eval_samples_per_second": 36.969,
|
| 3336 |
+
"eval_steps_per_second": 18.516,
|
| 3337 |
+
"step": 520
|
| 3338 |
+
},
|
| 3339 |
+
{
|
| 3340 |
+
"epoch": 1.56,
|
| 3341 |
+
"learning_rate": 9.525139432140945e-05,
|
| 3342 |
+
"loss": 0.5802,
|
| 3343 |
+
"step": 521
|
| 3344 |
+
},
|
| 3345 |
+
{
|
| 3346 |
+
"epoch": 1.56,
|
| 3347 |
+
"learning_rate": 9.493508311612874e-05,
|
| 3348 |
+
"loss": 0.6022,
|
| 3349 |
+
"step": 522
|
| 3350 |
+
},
|
| 3351 |
+
{
|
| 3352 |
+
"epoch": 1.56,
|
| 3353 |
+
"learning_rate": 9.461882270905241e-05,
|
| 3354 |
+
"loss": 0.5621,
|
| 3355 |
+
"step": 523
|
| 3356 |
+
},
|
| 3357 |
+
{
|
| 3358 |
+
"epoch": 1.57,
|
| 3359 |
+
"learning_rate": 9.430261627209044e-05,
|
| 3360 |
+
"loss": 0.5843,
|
| 3361 |
+
"step": 524
|
| 3362 |
+
},
|
| 3363 |
+
{
|
| 3364 |
+
"epoch": 1.57,
|
| 3365 |
+
"learning_rate": 9.398646697661172e-05,
|
| 3366 |
+
"loss": 0.647,
|
| 3367 |
+
"step": 525
|
| 3368 |
+
},
|
| 3369 |
+
{
|
| 3370 |
+
"epoch": 1.57,
|
| 3371 |
+
"learning_rate": 9.367037799341187e-05,
|
| 3372 |
+
"loss": 0.614,
|
| 3373 |
+
"step": 526
|
| 3374 |
+
},
|
| 3375 |
+
{
|
| 3376 |
+
"epoch": 1.57,
|
| 3377 |
+
"learning_rate": 9.335435249268165e-05,
|
| 3378 |
+
"loss": 0.6347,
|
| 3379 |
+
"step": 527
|
| 3380 |
+
},
|
| 3381 |
+
{
|
| 3382 |
+
"epoch": 1.58,
|
| 3383 |
+
"learning_rate": 9.303839364397511e-05,
|
| 3384 |
+
"loss": 0.6657,
|
| 3385 |
+
"step": 528
|
| 3386 |
+
},
|
| 3387 |
+
{
|
| 3388 |
+
"epoch": 1.58,
|
| 3389 |
+
"learning_rate": 9.272250461617793e-05,
|
| 3390 |
+
"loss": 0.6394,
|
| 3391 |
+
"step": 529
|
| 3392 |
+
},
|
| 3393 |
+
{
|
| 3394 |
+
"epoch": 1.58,
|
| 3395 |
+
"learning_rate": 9.24066885774754e-05,
|
| 3396 |
+
"loss": 0.5967,
|
| 3397 |
+
"step": 530
|
| 3398 |
+
},
|
| 3399 |
+
{
|
| 3400 |
+
"epoch": 1.59,
|
| 3401 |
+
"learning_rate": 9.209094869532081e-05,
|
| 3402 |
+
"loss": 0.6504,
|
| 3403 |
+
"step": 531
|
| 3404 |
+
},
|
| 3405 |
+
{
|
| 3406 |
+
"epoch": 1.59,
|
| 3407 |
+
"learning_rate": 9.177528813640362e-05,
|
| 3408 |
+
"loss": 0.5948,
|
| 3409 |
+
"step": 532
|
| 3410 |
+
},
|
| 3411 |
+
{
|
| 3412 |
+
"epoch": 1.59,
|
| 3413 |
+
"learning_rate": 9.145971006661782e-05,
|
| 3414 |
+
"loss": 0.6202,
|
| 3415 |
+
"step": 533
|
| 3416 |
+
},
|
| 3417 |
+
{
|
| 3418 |
+
"epoch": 1.6,
|
| 3419 |
+
"learning_rate": 9.114421765102999e-05,
|
| 3420 |
+
"loss": 0.6011,
|
| 3421 |
+
"step": 534
|
| 3422 |
+
},
|
| 3423 |
+
{
|
| 3424 |
+
"epoch": 1.6,
|
| 3425 |
+
"learning_rate": 9.082881405384765e-05,
|
| 3426 |
+
"loss": 0.6236,
|
| 3427 |
+
"step": 535
|
| 3428 |
+
},
|
| 3429 |
+
{
|
| 3430 |
+
"epoch": 1.6,
|
| 3431 |
+
"learning_rate": 9.051350243838756e-05,
|
| 3432 |
+
"loss": 0.6033,
|
| 3433 |
+
"step": 536
|
| 3434 |
+
},
|
| 3435 |
+
{
|
| 3436 |
+
"epoch": 1.6,
|
| 3437 |
+
"learning_rate": 9.019828596704394e-05,
|
| 3438 |
+
"loss": 0.587,
|
| 3439 |
+
"step": 537
|
| 3440 |
+
},
|
| 3441 |
+
{
|
| 3442 |
+
"epoch": 1.61,
|
| 3443 |
+
"learning_rate": 8.98831678012568e-05,
|
| 3444 |
+
"loss": 0.5835,
|
| 3445 |
+
"step": 538
|
| 3446 |
+
},
|
| 3447 |
+
{
|
| 3448 |
+
"epoch": 1.61,
|
| 3449 |
+
"learning_rate": 8.956815110148012e-05,
|
| 3450 |
+
"loss": 0.5779,
|
| 3451 |
+
"step": 539
|
| 3452 |
+
},
|
| 3453 |
+
{
|
| 3454 |
+
"epoch": 1.61,
|
| 3455 |
+
"learning_rate": 8.925323902715031e-05,
|
| 3456 |
+
"loss": 0.6466,
|
| 3457 |
+
"step": 540
|
| 3458 |
+
},
|
| 3459 |
+
{
|
| 3460 |
+
"epoch": 1.61,
|
| 3461 |
+
"eval_loss": 0.9719182252883911,
|
| 3462 |
+
"eval_runtime": 15.7304,
|
| 3463 |
+
"eval_samples_per_second": 37.062,
|
| 3464 |
+
"eval_steps_per_second": 18.563,
|
| 3465 |
+
"step": 540
|
| 3466 |
+
},
|
| 3467 |
+
{
|
| 3468 |
+
"epoch": 1.62,
|
| 3469 |
+
"learning_rate": 8.893843473665443e-05,
|
| 3470 |
+
"loss": 0.6011,
|
| 3471 |
+
"step": 541
|
| 3472 |
+
},
|
| 3473 |
+
{
|
| 3474 |
+
"epoch": 1.62,
|
| 3475 |
+
"learning_rate": 8.862374138729853e-05,
|
| 3476 |
+
"loss": 0.6446,
|
| 3477 |
+
"step": 542
|
| 3478 |
+
},
|
| 3479 |
+
{
|
| 3480 |
+
"epoch": 1.62,
|
| 3481 |
+
"learning_rate": 8.830916213527592e-05,
|
| 3482 |
+
"loss": 0.6285,
|
| 3483 |
+
"step": 543
|
| 3484 |
+
},
|
| 3485 |
+
{
|
| 3486 |
+
"epoch": 1.63,
|
| 3487 |
+
"learning_rate": 8.799470013563573e-05,
|
| 3488 |
+
"loss": 0.6259,
|
| 3489 |
+
"step": 544
|
| 3490 |
+
},
|
| 3491 |
+
{
|
| 3492 |
+
"epoch": 1.63,
|
| 3493 |
+
"learning_rate": 8.768035854225097e-05,
|
| 3494 |
+
"loss": 0.6143,
|
| 3495 |
+
"step": 545
|
| 3496 |
+
},
|
| 3497 |
+
{
|
| 3498 |
+
"epoch": 1.63,
|
| 3499 |
+
"learning_rate": 8.73661405077871e-05,
|
| 3500 |
+
"loss": 0.6058,
|
| 3501 |
+
"step": 546
|
| 3502 |
+
},
|
| 3503 |
+
{
|
| 3504 |
+
"epoch": 1.63,
|
| 3505 |
+
"learning_rate": 8.705204918367031e-05,
|
| 3506 |
+
"loss": 0.5803,
|
| 3507 |
+
"step": 547
|
| 3508 |
+
},
|
| 3509 |
+
{
|
| 3510 |
+
"epoch": 1.64,
|
| 3511 |
+
"learning_rate": 8.67380877200561e-05,
|
| 3512 |
+
"loss": 0.6259,
|
| 3513 |
+
"step": 548
|
| 3514 |
+
},
|
| 3515 |
+
{
|
| 3516 |
+
"epoch": 1.64,
|
| 3517 |
+
"learning_rate": 8.642425926579739e-05,
|
| 3518 |
+
"loss": 0.5894,
|
| 3519 |
+
"step": 549
|
| 3520 |
+
},
|
| 3521 |
+
{
|
| 3522 |
+
"epoch": 1.64,
|
| 3523 |
+
"learning_rate": 8.611056696841312e-05,
|
| 3524 |
+
"loss": 0.6112,
|
| 3525 |
+
"step": 550
|
| 3526 |
+
},
|
| 3527 |
+
{
|
| 3528 |
+
"epoch": 1.65,
|
| 3529 |
+
"learning_rate": 8.579701397405667e-05,
|
| 3530 |
+
"loss": 0.6618,
|
| 3531 |
+
"step": 551
|
| 3532 |
+
},
|
| 3533 |
+
{
|
| 3534 |
+
"epoch": 1.65,
|
| 3535 |
+
"learning_rate": 8.54836034274844e-05,
|
| 3536 |
+
"loss": 0.6115,
|
| 3537 |
+
"step": 552
|
| 3538 |
+
},
|
| 3539 |
+
{
|
| 3540 |
+
"epoch": 1.65,
|
| 3541 |
+
"learning_rate": 8.517033847202382e-05,
|
| 3542 |
+
"loss": 0.6285,
|
| 3543 |
+
"step": 553
|
| 3544 |
+
},
|
| 3545 |
+
{
|
| 3546 |
+
"epoch": 1.65,
|
| 3547 |
+
"learning_rate": 8.485722224954237e-05,
|
| 3548 |
+
"loss": 0.6507,
|
| 3549 |
+
"step": 554
|
| 3550 |
+
},
|
| 3551 |
+
{
|
| 3552 |
+
"epoch": 1.66,
|
| 3553 |
+
"learning_rate": 8.454425790041567e-05,
|
| 3554 |
+
"loss": 0.6125,
|
| 3555 |
+
"step": 555
|
| 3556 |
+
},
|
| 3557 |
+
{
|
| 3558 |
+
"epoch": 1.66,
|
| 3559 |
+
"learning_rate": 8.423144856349631e-05,
|
| 3560 |
+
"loss": 0.6536,
|
| 3561 |
+
"step": 556
|
| 3562 |
+
},
|
| 3563 |
+
{
|
| 3564 |
+
"epoch": 1.66,
|
| 3565 |
+
"learning_rate": 8.391879737608201e-05,
|
| 3566 |
+
"loss": 0.6476,
|
| 3567 |
+
"step": 557
|
| 3568 |
+
},
|
| 3569 |
+
{
|
| 3570 |
+
"epoch": 1.67,
|
| 3571 |
+
"learning_rate": 8.36063074738845e-05,
|
| 3572 |
+
"loss": 0.6355,
|
| 3573 |
+
"step": 558
|
| 3574 |
+
},
|
| 3575 |
+
{
|
| 3576 |
+
"epoch": 1.67,
|
| 3577 |
+
"learning_rate": 8.329398199099778e-05,
|
| 3578 |
+
"loss": 0.6266,
|
| 3579 |
+
"step": 559
|
| 3580 |
+
},
|
| 3581 |
+
{
|
| 3582 |
+
"epoch": 1.67,
|
| 3583 |
+
"learning_rate": 8.298182405986689e-05,
|
| 3584 |
+
"loss": 0.6246,
|
| 3585 |
+
"step": 560
|
| 3586 |
+
},
|
| 3587 |
+
{
|
| 3588 |
+
"epoch": 1.67,
|
| 3589 |
+
"eval_loss": 0.9681297540664673,
|
| 3590 |
+
"eval_runtime": 15.7562,
|
| 3591 |
+
"eval_samples_per_second": 37.001,
|
| 3592 |
+
"eval_steps_per_second": 18.532,
|
| 3593 |
+
"step": 560
|
| 3594 |
+
},
|
| 3595 |
+
{
|
| 3596 |
+
"epoch": 1.68,
|
| 3597 |
+
"learning_rate": 8.266983681125647e-05,
|
| 3598 |
+
"loss": 0.6251,
|
| 3599 |
+
"step": 561
|
| 3600 |
+
},
|
| 3601 |
+
{
|
| 3602 |
+
"epoch": 1.68,
|
| 3603 |
+
"learning_rate": 8.235802337421919e-05,
|
| 3604 |
+
"loss": 0.6299,
|
| 3605 |
+
"step": 562
|
| 3606 |
+
},
|
| 3607 |
+
{
|
| 3608 |
+
"epoch": 1.68,
|
| 3609 |
+
"learning_rate": 8.20463868760645e-05,
|
| 3610 |
+
"loss": 0.6117,
|
| 3611 |
+
"step": 563
|
| 3612 |
+
},
|
| 3613 |
+
{
|
| 3614 |
+
"epoch": 1.68,
|
| 3615 |
+
"learning_rate": 8.173493044232745e-05,
|
| 3616 |
+
"loss": 0.6027,
|
| 3617 |
+
"step": 564
|
| 3618 |
+
},
|
| 3619 |
+
{
|
| 3620 |
+
"epoch": 1.69,
|
| 3621 |
+
"learning_rate": 8.142365719673693e-05,
|
| 3622 |
+
"loss": 0.6211,
|
| 3623 |
+
"step": 565
|
| 3624 |
+
},
|
| 3625 |
+
{
|
| 3626 |
+
"epoch": 1.69,
|
| 3627 |
+
"learning_rate": 8.11125702611846e-05,
|
| 3628 |
+
"loss": 0.6076,
|
| 3629 |
+
"step": 566
|
| 3630 |
+
},
|
| 3631 |
+
{
|
| 3632 |
+
"epoch": 1.69,
|
| 3633 |
+
"learning_rate": 8.080167275569359e-05,
|
| 3634 |
+
"loss": 0.635,
|
| 3635 |
+
"step": 567
|
| 3636 |
+
},
|
| 3637 |
+
{
|
| 3638 |
+
"epoch": 1.7,
|
| 3639 |
+
"learning_rate": 8.049096779838719e-05,
|
| 3640 |
+
"loss": 0.603,
|
| 3641 |
+
"step": 568
|
| 3642 |
+
},
|
| 3643 |
+
{
|
| 3644 |
+
"epoch": 1.7,
|
| 3645 |
+
"learning_rate": 8.018045850545743e-05,
|
| 3646 |
+
"loss": 0.6406,
|
| 3647 |
+
"step": 569
|
| 3648 |
+
},
|
| 3649 |
+
{
|
| 3650 |
+
"epoch": 1.7,
|
| 3651 |
+
"learning_rate": 7.987014799113397e-05,
|
| 3652 |
+
"loss": 0.5941,
|
| 3653 |
+
"step": 570
|
| 3654 |
+
},
|
| 3655 |
+
{
|
| 3656 |
+
"epoch": 1.71,
|
| 3657 |
+
"learning_rate": 7.956003936765297e-05,
|
| 3658 |
+
"loss": 0.5542,
|
| 3659 |
+
"step": 571
|
| 3660 |
+
},
|
| 3661 |
+
{
|
| 3662 |
+
"epoch": 1.71,
|
| 3663 |
+
"learning_rate": 7.925013574522557e-05,
|
| 3664 |
+
"loss": 0.5938,
|
| 3665 |
+
"step": 572
|
| 3666 |
+
},
|
| 3667 |
+
{
|
| 3668 |
+
"epoch": 1.71,
|
| 3669 |
+
"learning_rate": 7.894044023200691e-05,
|
| 3670 |
+
"loss": 0.5701,
|
| 3671 |
+
"step": 573
|
| 3672 |
+
},
|
| 3673 |
+
{
|
| 3674 |
+
"epoch": 1.71,
|
| 3675 |
+
"learning_rate": 7.863095593406491e-05,
|
| 3676 |
+
"loss": 0.6276,
|
| 3677 |
+
"step": 574
|
| 3678 |
+
},
|
| 3679 |
+
{
|
| 3680 |
+
"epoch": 1.72,
|
| 3681 |
+
"learning_rate": 7.832168595534924e-05,
|
| 3682 |
+
"loss": 0.6352,
|
| 3683 |
+
"step": 575
|
| 3684 |
+
},
|
| 3685 |
+
{
|
| 3686 |
+
"epoch": 1.72,
|
| 3687 |
+
"learning_rate": 7.801263339765994e-05,
|
| 3688 |
+
"loss": 0.5628,
|
| 3689 |
+
"step": 576
|
| 3690 |
+
},
|
| 3691 |
+
{
|
| 3692 |
+
"epoch": 1.72,
|
| 3693 |
+
"learning_rate": 7.770380136061643e-05,
|
| 3694 |
+
"loss": 0.6285,
|
| 3695 |
+
"step": 577
|
| 3696 |
+
},
|
| 3697 |
+
{
|
| 3698 |
+
"epoch": 1.73,
|
| 3699 |
+
"learning_rate": 7.739519294162652e-05,
|
| 3700 |
+
"loss": 0.6409,
|
| 3701 |
+
"step": 578
|
| 3702 |
+
},
|
| 3703 |
+
{
|
| 3704 |
+
"epoch": 1.73,
|
| 3705 |
+
"learning_rate": 7.708681123585525e-05,
|
| 3706 |
+
"loss": 0.6944,
|
| 3707 |
+
"step": 579
|
| 3708 |
+
},
|
| 3709 |
+
{
|
| 3710 |
+
"epoch": 1.73,
|
| 3711 |
+
"learning_rate": 7.677865933619379e-05,
|
| 3712 |
+
"loss": 0.627,
|
| 3713 |
+
"step": 580
|
| 3714 |
+
},
|
| 3715 |
+
{
|
| 3716 |
+
"epoch": 1.73,
|
| 3717 |
+
"eval_loss": 0.9704866409301758,
|
| 3718 |
+
"eval_runtime": 15.7519,
|
| 3719 |
+
"eval_samples_per_second": 37.011,
|
| 3720 |
+
"eval_steps_per_second": 18.537,
|
| 3721 |
+
"step": 580
|
| 3722 |
+
},
|
| 3723 |
+
{
|
| 3724 |
+
"epoch": 1.74,
|
| 3725 |
+
"learning_rate": 7.647074033322856e-05,
|
| 3726 |
+
"loss": 0.656,
|
| 3727 |
+
"step": 581
|
| 3728 |
+
},
|
| 3729 |
+
{
|
| 3730 |
+
"epoch": 1.74,
|
| 3731 |
+
"learning_rate": 7.616305731521008e-05,
|
| 3732 |
+
"loss": 0.6058,
|
| 3733 |
+
"step": 582
|
| 3734 |
+
},
|
| 3735 |
+
{
|
| 3736 |
+
"epoch": 1.74,
|
| 3737 |
+
"learning_rate": 7.585561336802221e-05,
|
| 3738 |
+
"loss": 0.5871,
|
| 3739 |
+
"step": 583
|
| 3740 |
+
},
|
| 3741 |
+
{
|
| 3742 |
+
"epoch": 1.74,
|
| 3743 |
+
"learning_rate": 7.554841157515092e-05,
|
| 3744 |
+
"loss": 0.6347,
|
| 3745 |
+
"step": 584
|
| 3746 |
+
},
|
| 3747 |
+
{
|
| 3748 |
+
"epoch": 1.75,
|
| 3749 |
+
"learning_rate": 7.524145501765357e-05,
|
| 3750 |
+
"loss": 0.5847,
|
| 3751 |
+
"step": 585
|
| 3752 |
+
},
|
| 3753 |
+
{
|
| 3754 |
+
"epoch": 1.75,
|
| 3755 |
+
"learning_rate": 7.493474677412794e-05,
|
| 3756 |
+
"loss": 0.5988,
|
| 3757 |
+
"step": 586
|
| 3758 |
+
},
|
| 3759 |
+
{
|
| 3760 |
+
"epoch": 1.75,
|
| 3761 |
+
"learning_rate": 7.462828992068143e-05,
|
| 3762 |
+
"loss": 0.5942,
|
| 3763 |
+
"step": 587
|
| 3764 |
+
},
|
| 3765 |
+
{
|
| 3766 |
+
"epoch": 1.76,
|
| 3767 |
+
"learning_rate": 7.432208753090009e-05,
|
| 3768 |
+
"loss": 0.6388,
|
| 3769 |
+
"step": 588
|
| 3770 |
+
},
|
| 3771 |
+
{
|
| 3772 |
+
"epoch": 1.76,
|
| 3773 |
+
"learning_rate": 7.401614267581779e-05,
|
| 3774 |
+
"loss": 0.6184,
|
| 3775 |
+
"step": 589
|
| 3776 |
+
},
|
| 3777 |
+
{
|
| 3778 |
+
"epoch": 1.76,
|
| 3779 |
+
"learning_rate": 7.371045842388552e-05,
|
| 3780 |
+
"loss": 0.5469,
|
| 3781 |
+
"step": 590
|
| 3782 |
+
},
|
| 3783 |
+
{
|
| 3784 |
+
"epoch": 1.77,
|
| 3785 |
+
"learning_rate": 7.340503784094066e-05,
|
| 3786 |
+
"loss": 0.591,
|
| 3787 |
+
"step": 591
|
| 3788 |
+
},
|
| 3789 |
+
{
|
| 3790 |
+
"epoch": 1.77,
|
| 3791 |
+
"learning_rate": 7.309988399017602e-05,
|
| 3792 |
+
"loss": 0.64,
|
| 3793 |
+
"step": 592
|
| 3794 |
+
},
|
| 3795 |
+
{
|
| 3796 |
+
"epoch": 1.77,
|
| 3797 |
+
"learning_rate": 7.279499993210928e-05,
|
| 3798 |
+
"loss": 0.6149,
|
| 3799 |
+
"step": 593
|
| 3800 |
+
},
|
| 3801 |
+
{
|
| 3802 |
+
"epoch": 1.77,
|
| 3803 |
+
"learning_rate": 7.24903887245522e-05,
|
| 3804 |
+
"loss": 0.7015,
|
| 3805 |
+
"step": 594
|
| 3806 |
+
},
|
| 3807 |
+
{
|
| 3808 |
+
"epoch": 1.78,
|
| 3809 |
+
"learning_rate": 7.218605342258015e-05,
|
| 3810 |
+
"loss": 0.6292,
|
| 3811 |
+
"step": 595
|
| 3812 |
+
},
|
| 3813 |
+
{
|
| 3814 |
+
"epoch": 1.78,
|
| 3815 |
+
"learning_rate": 7.188199707850122e-05,
|
| 3816 |
+
"loss": 0.6177,
|
| 3817 |
+
"step": 596
|
| 3818 |
+
},
|
| 3819 |
+
{
|
| 3820 |
+
"epoch": 1.78,
|
| 3821 |
+
"learning_rate": 7.15782227418257e-05,
|
| 3822 |
+
"loss": 0.5794,
|
| 3823 |
+
"step": 597
|
| 3824 |
+
},
|
| 3825 |
+
{
|
| 3826 |
+
"epoch": 1.79,
|
| 3827 |
+
"learning_rate": 7.127473345923554e-05,
|
| 3828 |
+
"loss": 0.6237,
|
| 3829 |
+
"step": 598
|
| 3830 |
+
},
|
| 3831 |
+
{
|
| 3832 |
+
"epoch": 1.79,
|
| 3833 |
+
"learning_rate": 7.097153227455379e-05,
|
| 3834 |
+
"loss": 0.6117,
|
| 3835 |
+
"step": 599
|
| 3836 |
+
},
|
| 3837 |
+
{
|
| 3838 |
+
"epoch": 1.79,
|
| 3839 |
+
"learning_rate": 7.066862222871397e-05,
|
| 3840 |
+
"loss": 0.6214,
|
| 3841 |
+
"step": 600
|
| 3842 |
+
},
|
| 3843 |
+
{
|
| 3844 |
+
"epoch": 1.79,
|
| 3845 |
+
"eval_loss": 0.9691401720046997,
|
| 3846 |
+
"eval_runtime": 15.7684,
|
| 3847 |
+
"eval_samples_per_second": 36.973,
|
| 3848 |
+
"eval_steps_per_second": 18.518,
|
| 3849 |
+
"step": 600
|
| 3850 |
+
},
|
| 3851 |
+
{
|
| 3852 |
+
"epoch": 1.8,
|
| 3853 |
+
"learning_rate": 7.03660063597297e-05,
|
| 3854 |
+
"loss": 0.5839,
|
| 3855 |
+
"step": 601
|
| 3856 |
+
},
|
| 3857 |
+
{
|
| 3858 |
+
"epoch": 1.8,
|
| 3859 |
+
"learning_rate": 7.006368770266421e-05,
|
| 3860 |
+
"loss": 0.5862,
|
| 3861 |
+
"step": 602
|
| 3862 |
+
},
|
| 3863 |
+
{
|
| 3864 |
+
"epoch": 1.8,
|
| 3865 |
+
"learning_rate": 6.976166928959977e-05,
|
| 3866 |
+
"loss": 0.5901,
|
| 3867 |
+
"step": 603
|
| 3868 |
+
},
|
| 3869 |
+
{
|
| 3870 |
+
"epoch": 1.8,
|
| 3871 |
+
"learning_rate": 6.945995414960744e-05,
|
| 3872 |
+
"loss": 0.6055,
|
| 3873 |
+
"step": 604
|
| 3874 |
+
},
|
| 3875 |
+
{
|
| 3876 |
+
"epoch": 1.81,
|
| 3877 |
+
"learning_rate": 6.915854530871658e-05,
|
| 3878 |
+
"loss": 0.5828,
|
| 3879 |
+
"step": 605
|
| 3880 |
+
},
|
| 3881 |
+
{
|
| 3882 |
+
"epoch": 1.81,
|
| 3883 |
+
"learning_rate": 6.885744578988463e-05,
|
| 3884 |
+
"loss": 0.5737,
|
| 3885 |
+
"step": 606
|
| 3886 |
+
},
|
| 3887 |
+
{
|
| 3888 |
+
"epoch": 1.81,
|
| 3889 |
+
"learning_rate": 6.855665861296661e-05,
|
| 3890 |
+
"loss": 0.5896,
|
| 3891 |
+
"step": 607
|
| 3892 |
+
},
|
| 3893 |
+
{
|
| 3894 |
+
"epoch": 1.82,
|
| 3895 |
+
"learning_rate": 6.825618679468502e-05,
|
| 3896 |
+
"loss": 0.5914,
|
| 3897 |
+
"step": 608
|
| 3898 |
+
},
|
| 3899 |
+
{
|
| 3900 |
+
"epoch": 1.82,
|
| 3901 |
+
"learning_rate": 6.795603334859935e-05,
|
| 3902 |
+
"loss": 0.6071,
|
| 3903 |
+
"step": 609
|
| 3904 |
+
},
|
| 3905 |
+
{
|
| 3906 |
+
"epoch": 1.82,
|
| 3907 |
+
"learning_rate": 6.765620128507619e-05,
|
| 3908 |
+
"loss": 0.6257,
|
| 3909 |
+
"step": 610
|
| 3910 |
+
},
|
| 3911 |
+
{
|
| 3912 |
+
"epoch": 1.83,
|
| 3913 |
+
"learning_rate": 6.735669361125873e-05,
|
| 3914 |
+
"loss": 0.6182,
|
| 3915 |
+
"step": 611
|
| 3916 |
+
},
|
| 3917 |
+
{
|
| 3918 |
+
"epoch": 1.83,
|
| 3919 |
+
"learning_rate": 6.705751333103675e-05,
|
| 3920 |
+
"loss": 0.5525,
|
| 3921 |
+
"step": 612
|
| 3922 |
+
},
|
| 3923 |
+
{
|
| 3924 |
+
"epoch": 1.83,
|
| 3925 |
+
"learning_rate": 6.67586634450164e-05,
|
| 3926 |
+
"loss": 0.5787,
|
| 3927 |
+
"step": 613
|
| 3928 |
+
},
|
| 3929 |
+
{
|
| 3930 |
+
"epoch": 1.83,
|
| 3931 |
+
"learning_rate": 6.64601469504903e-05,
|
| 3932 |
+
"loss": 0.5781,
|
| 3933 |
+
"step": 614
|
| 3934 |
+
},
|
| 3935 |
+
{
|
| 3936 |
+
"epoch": 1.84,
|
| 3937 |
+
"learning_rate": 6.61619668414072e-05,
|
| 3938 |
+
"loss": 0.5784,
|
| 3939 |
+
"step": 615
|
| 3940 |
+
},
|
| 3941 |
+
{
|
| 3942 |
+
"epoch": 1.84,
|
| 3943 |
+
"learning_rate": 6.586412610834221e-05,
|
| 3944 |
+
"loss": 0.6093,
|
| 3945 |
+
"step": 616
|
| 3946 |
+
},
|
| 3947 |
+
{
|
| 3948 |
+
"epoch": 1.84,
|
| 3949 |
+
"learning_rate": 6.556662773846658e-05,
|
| 3950 |
+
"loss": 0.5732,
|
| 3951 |
+
"step": 617
|
| 3952 |
+
},
|
| 3953 |
+
{
|
| 3954 |
+
"epoch": 1.85,
|
| 3955 |
+
"learning_rate": 6.526947471551798e-05,
|
| 3956 |
+
"loss": 0.6163,
|
| 3957 |
+
"step": 618
|
| 3958 |
+
},
|
| 3959 |
+
{
|
| 3960 |
+
"epoch": 1.85,
|
| 3961 |
+
"learning_rate": 6.497267001977037e-05,
|
| 3962 |
+
"loss": 0.5984,
|
| 3963 |
+
"step": 619
|
| 3964 |
+
},
|
| 3965 |
+
{
|
| 3966 |
+
"epoch": 1.85,
|
| 3967 |
+
"learning_rate": 6.46762166280042e-05,
|
| 3968 |
+
"loss": 0.6558,
|
| 3969 |
+
"step": 620
|
| 3970 |
+
},
|
| 3971 |
+
{
|
| 3972 |
+
"epoch": 1.85,
|
| 3973 |
+
"eval_loss": 0.9709066152572632,
|
| 3974 |
+
"eval_runtime": 15.7265,
|
| 3975 |
+
"eval_samples_per_second": 37.071,
|
| 3976 |
+
"eval_steps_per_second": 18.567,
|
| 3977 |
+
"step": 620
|
| 3978 |
+
},
|
| 3979 |
+
{
|
| 3980 |
+
"epoch": 1.86,
|
| 3981 |
+
"learning_rate": 6.438011751347655e-05,
|
| 3982 |
+
"loss": 0.596,
|
| 3983 |
+
"step": 621
|
| 3984 |
+
},
|
| 3985 |
+
{
|
| 3986 |
+
"epoch": 1.86,
|
| 3987 |
+
"learning_rate": 6.40843756458913e-05,
|
| 3988 |
+
"loss": 0.5747,
|
| 3989 |
+
"step": 622
|
| 3990 |
+
},
|
| 3991 |
+
{
|
| 3992 |
+
"epoch": 1.86,
|
| 3993 |
+
"learning_rate": 6.378899399136938e-05,
|
| 3994 |
+
"loss": 0.6224,
|
| 3995 |
+
"step": 623
|
| 3996 |
+
},
|
| 3997 |
+
{
|
| 3998 |
+
"epoch": 1.86,
|
| 3999 |
+
"learning_rate": 6.349397551241894e-05,
|
| 4000 |
+
"loss": 0.6119,
|
| 4001 |
+
"step": 624
|
| 4002 |
+
},
|
| 4003 |
+
{
|
| 4004 |
+
"epoch": 1.87,
|
| 4005 |
+
"learning_rate": 6.319932316790565e-05,
|
| 4006 |
+
"loss": 0.632,
|
| 4007 |
+
"step": 625
|
| 4008 |
+
},
|
| 4009 |
+
{
|
| 4010 |
+
"epoch": 1.87,
|
| 4011 |
+
"learning_rate": 6.290503991302324e-05,
|
| 4012 |
+
"loss": 0.6042,
|
| 4013 |
+
"step": 626
|
| 4014 |
+
},
|
| 4015 |
+
{
|
| 4016 |
+
"epoch": 1.87,
|
| 4017 |
+
"learning_rate": 6.261112869926347e-05,
|
| 4018 |
+
"loss": 0.5992,
|
| 4019 |
+
"step": 627
|
| 4020 |
+
},
|
| 4021 |
+
{
|
| 4022 |
+
"epoch": 1.88,
|
| 4023 |
+
"learning_rate": 6.231759247438689e-05,
|
| 4024 |
+
"loss": 0.6207,
|
| 4025 |
+
"step": 628
|
| 4026 |
+
},
|
| 4027 |
+
{
|
| 4028 |
+
"epoch": 1.88,
|
| 4029 |
+
"learning_rate": 6.202443418239302e-05,
|
| 4030 |
+
"loss": 0.6841,
|
| 4031 |
+
"step": 629
|
| 4032 |
+
},
|
| 4033 |
+
{
|
| 4034 |
+
"epoch": 1.88,
|
| 4035 |
+
"learning_rate": 6.173165676349103e-05,
|
| 4036 |
+
"loss": 0.616,
|
| 4037 |
+
"step": 630
|
| 4038 |
+
},
|
| 4039 |
+
{
|
| 4040 |
+
"epoch": 1.88,
|
| 4041 |
+
"learning_rate": 6.14392631540701e-05,
|
| 4042 |
+
"loss": 0.61,
|
| 4043 |
+
"step": 631
|
| 4044 |
+
},
|
| 4045 |
+
{
|
| 4046 |
+
"epoch": 1.89,
|
| 4047 |
+
"learning_rate": 6.114725628666998e-05,
|
| 4048 |
+
"loss": 0.587,
|
| 4049 |
+
"step": 632
|
| 4050 |
+
},
|
| 4051 |
+
{
|
| 4052 |
+
"epoch": 1.89,
|
| 4053 |
+
"learning_rate": 6.0855639089951735e-05,
|
| 4054 |
+
"loss": 0.6161,
|
| 4055 |
+
"step": 633
|
| 4056 |
+
},
|
| 4057 |
+
{
|
| 4058 |
+
"epoch": 1.89,
|
| 4059 |
+
"learning_rate": 6.0564414488668165e-05,
|
| 4060 |
+
"loss": 0.6047,
|
| 4061 |
+
"step": 634
|
| 4062 |
+
},
|
| 4063 |
+
{
|
| 4064 |
+
"epoch": 1.9,
|
| 4065 |
+
"learning_rate": 6.027358540363457e-05,
|
| 4066 |
+
"loss": 0.6326,
|
| 4067 |
+
"step": 635
|
| 4068 |
+
},
|
| 4069 |
+
{
|
| 4070 |
+
"epoch": 1.9,
|
| 4071 |
+
"learning_rate": 5.998315475169942e-05,
|
| 4072 |
+
"loss": 0.6319,
|
| 4073 |
+
"step": 636
|
| 4074 |
+
},
|
| 4075 |
+
{
|
| 4076 |
+
"epoch": 1.9,
|
| 4077 |
+
"learning_rate": 5.969312544571529e-05,
|
| 4078 |
+
"loss": 0.5422,
|
| 4079 |
+
"step": 637
|
| 4080 |
+
},
|
| 4081 |
+
{
|
| 4082 |
+
"epoch": 1.91,
|
| 4083 |
+
"learning_rate": 5.94035003945093e-05,
|
| 4084 |
+
"loss": 0.5769,
|
| 4085 |
+
"step": 638
|
| 4086 |
+
},
|
| 4087 |
+
{
|
| 4088 |
+
"epoch": 1.91,
|
| 4089 |
+
"learning_rate": 5.911428250285421e-05,
|
| 4090 |
+
"loss": 0.6539,
|
| 4091 |
+
"step": 639
|
| 4092 |
+
},
|
| 4093 |
+
{
|
| 4094 |
+
"epoch": 1.91,
|
| 4095 |
+
"learning_rate": 5.88254746714392e-05,
|
| 4096 |
+
"loss": 0.5736,
|
| 4097 |
+
"step": 640
|
| 4098 |
+
},
|
| 4099 |
+
{
|
| 4100 |
+
"epoch": 1.91,
|
| 4101 |
+
"eval_loss": 0.9673944711685181,
|
| 4102 |
+
"eval_runtime": 22.4205,
|
| 4103 |
+
"eval_samples_per_second": 26.003,
|
| 4104 |
+
"eval_steps_per_second": 13.024,
|
| 4105 |
+
"step": 640
|
| 4106 |
+
},
|
| 4107 |
+
{
|
| 4108 |
+
"epoch": 1.91,
|
| 4109 |
+
"learning_rate": 5.8537079796840765e-05,
|
| 4110 |
+
"loss": 0.6077,
|
| 4111 |
+
"step": 641
|
| 4112 |
+
},
|
| 4113 |
+
{
|
| 4114 |
+
"epoch": 1.92,
|
| 4115 |
+
"learning_rate": 5.824910077149371e-05,
|
| 4116 |
+
"loss": 0.6218,
|
| 4117 |
+
"step": 642
|
| 4118 |
+
},
|
| 4119 |
+
{
|
| 4120 |
+
"epoch": 1.92,
|
| 4121 |
+
"learning_rate": 5.796154048366208e-05,
|
| 4122 |
+
"loss": 0.6631,
|
| 4123 |
+
"step": 643
|
| 4124 |
+
},
|
| 4125 |
+
{
|
| 4126 |
+
"epoch": 1.92,
|
| 4127 |
+
"learning_rate": 5.767440181741019e-05,
|
| 4128 |
+
"loss": 0.596,
|
| 4129 |
+
"step": 644
|
| 4130 |
+
},
|
| 4131 |
+
{
|
| 4132 |
+
"epoch": 1.93,
|
| 4133 |
+
"learning_rate": 5.7387687652573865e-05,
|
| 4134 |
+
"loss": 0.6009,
|
| 4135 |
+
"step": 645
|
| 4136 |
+
},
|
| 4137 |
+
{
|
| 4138 |
+
"epoch": 1.93,
|
| 4139 |
+
"learning_rate": 5.710140086473129e-05,
|
| 4140 |
+
"loss": 0.6687,
|
| 4141 |
+
"step": 646
|
| 4142 |
+
},
|
| 4143 |
+
{
|
| 4144 |
+
"epoch": 1.93,
|
| 4145 |
+
"learning_rate": 5.6815544325174355e-05,
|
| 4146 |
+
"loss": 0.6074,
|
| 4147 |
+
"step": 647
|
| 4148 |
+
},
|
| 4149 |
+
{
|
| 4150 |
+
"epoch": 1.94,
|
| 4151 |
+
"learning_rate": 5.653012090087977e-05,
|
| 4152 |
+
"loss": 0.6322,
|
| 4153 |
+
"step": 648
|
| 4154 |
+
},
|
| 4155 |
+
{
|
| 4156 |
+
"epoch": 1.94,
|
| 4157 |
+
"learning_rate": 5.6245133454480446e-05,
|
| 4158 |
+
"loss": 0.6062,
|
| 4159 |
+
"step": 649
|
| 4160 |
+
},
|
| 4161 |
+
{
|
| 4162 |
+
"epoch": 1.94,
|
| 4163 |
+
"learning_rate": 5.596058484423656e-05,
|
| 4164 |
+
"loss": 0.6011,
|
| 4165 |
+
"step": 650
|
| 4166 |
+
},
|
| 4167 |
+
{
|
| 4168 |
+
"epoch": 1.94,
|
| 4169 |
+
"learning_rate": 5.5676477924007166e-05,
|
| 4170 |
+
"loss": 0.6329,
|
| 4171 |
+
"step": 651
|
| 4172 |
+
},
|
| 4173 |
+
{
|
| 4174 |
+
"epoch": 1.95,
|
| 4175 |
+
"learning_rate": 5.5392815543221254e-05,
|
| 4176 |
+
"loss": 0.6324,
|
| 4177 |
+
"step": 652
|
| 4178 |
+
},
|
| 4179 |
+
{
|
| 4180 |
+
"epoch": 1.95,
|
| 4181 |
+
"learning_rate": 5.5109600546849416e-05,
|
| 4182 |
+
"loss": 0.638,
|
| 4183 |
+
"step": 653
|
| 4184 |
+
},
|
| 4185 |
+
{
|
| 4186 |
+
"epoch": 1.95,
|
| 4187 |
+
"learning_rate": 5.4826835775375285e-05,
|
| 4188 |
+
"loss": 0.6016,
|
| 4189 |
+
"step": 654
|
| 4190 |
+
},
|
| 4191 |
+
{
|
| 4192 |
+
"epoch": 1.96,
|
| 4193 |
+
"learning_rate": 5.454452406476694e-05,
|
| 4194 |
+
"loss": 0.6221,
|
| 4195 |
+
"step": 655
|
| 4196 |
+
},
|
| 4197 |
+
{
|
| 4198 |
+
"epoch": 1.96,
|
| 4199 |
+
"learning_rate": 5.4262668246448475e-05,
|
| 4200 |
+
"loss": 0.6496,
|
| 4201 |
+
"step": 656
|
| 4202 |
+
},
|
| 4203 |
+
{
|
| 4204 |
+
"epoch": 1.96,
|
| 4205 |
+
"learning_rate": 5.398127114727178e-05,
|
| 4206 |
+
"loss": 0.6118,
|
| 4207 |
+
"step": 657
|
| 4208 |
+
},
|
| 4209 |
+
{
|
| 4210 |
+
"epoch": 1.97,
|
| 4211 |
+
"learning_rate": 5.3700335589487925e-05,
|
| 4212 |
+
"loss": 0.6216,
|
| 4213 |
+
"step": 658
|
| 4214 |
+
},
|
| 4215 |
+
{
|
| 4216 |
+
"epoch": 1.97,
|
| 4217 |
+
"learning_rate": 5.341986439071907e-05,
|
| 4218 |
+
"loss": 0.6238,
|
| 4219 |
+
"step": 659
|
| 4220 |
+
},
|
| 4221 |
+
{
|
| 4222 |
+
"epoch": 1.97,
|
| 4223 |
+
"learning_rate": 5.3139860363929996e-05,
|
| 4224 |
+
"loss": 0.6188,
|
| 4225 |
+
"step": 660
|
| 4226 |
+
},
|
| 4227 |
+
{
|
| 4228 |
+
"epoch": 1.97,
|
| 4229 |
+
"eval_loss": 0.9674209356307983,
|
| 4230 |
+
"eval_runtime": 15.74,
|
| 4231 |
+
"eval_samples_per_second": 37.039,
|
| 4232 |
+
"eval_steps_per_second": 18.552,
|
| 4233 |
+
"step": 660
|
| 4234 |
+
},
|
| 4235 |
+
{
|
| 4236 |
+
"epoch": 1.97,
|
| 4237 |
+
"learning_rate": 5.286032631740023e-05,
|
| 4238 |
+
"loss": 0.6111,
|
| 4239 |
+
"step": 661
|
| 4240 |
+
},
|
| 4241 |
+
{
|
| 4242 |
+
"epoch": 1.98,
|
| 4243 |
+
"learning_rate": 5.2581265054695494e-05,
|
| 4244 |
+
"loss": 0.6158,
|
| 4245 |
+
"step": 662
|
| 4246 |
+
},
|
| 4247 |
+
{
|
| 4248 |
+
"epoch": 1.98,
|
| 4249 |
+
"learning_rate": 5.230267937463977e-05,
|
| 4250 |
+
"loss": 0.6135,
|
| 4251 |
+
"step": 663
|
| 4252 |
+
},
|
| 4253 |
+
{
|
| 4254 |
+
"epoch": 1.98,
|
| 4255 |
+
"learning_rate": 5.202457207128736e-05,
|
| 4256 |
+
"loss": 0.5729,
|
| 4257 |
+
"step": 664
|
| 4258 |
+
},
|
| 4259 |
+
{
|
| 4260 |
+
"epoch": 1.99,
|
| 4261 |
+
"learning_rate": 5.174694593389455e-05,
|
| 4262 |
+
"loss": 0.5397,
|
| 4263 |
+
"step": 665
|
| 4264 |
+
},
|
| 4265 |
+
{
|
| 4266 |
+
"epoch": 1.99,
|
| 4267 |
+
"learning_rate": 5.146980374689192e-05,
|
| 4268 |
+
"loss": 0.6445,
|
| 4269 |
+
"step": 666
|
| 4270 |
+
},
|
| 4271 |
+
{
|
| 4272 |
+
"epoch": 1.99,
|
| 4273 |
+
"learning_rate": 5.119314828985619e-05,
|
| 4274 |
+
"loss": 0.6251,
|
| 4275 |
+
"step": 667
|
| 4276 |
+
},
|
| 4277 |
+
{
|
| 4278 |
+
"epoch": 2.0,
|
| 4279 |
+
"learning_rate": 5.0916982337482644e-05,
|
| 4280 |
+
"loss": 0.5926,
|
| 4281 |
+
"step": 668
|
| 4282 |
+
},
|
| 4283 |
+
{
|
| 4284 |
+
"epoch": 2.0,
|
| 4285 |
+
"learning_rate": 5.0641308659556964e-05,
|
| 4286 |
+
"loss": 0.6072,
|
| 4287 |
+
"step": 669
|
| 4288 |
+
}
|
| 4289 |
+
],
|
| 4290 |
+
"logging_steps": 1,
|
| 4291 |
+
"max_steps": 1002,
|
| 4292 |
+
"num_train_epochs": 3,
|
| 4293 |
+
"save_steps": 500,
|
| 4294 |
+
"total_flos": 9.470113214952899e+17,
|
| 4295 |
+
"trial_name": null,
|
| 4296 |
+
"trial_params": null
|
| 4297 |
+
}
|
checkpoint-669/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a7780122e038bb83236a6b213b013867a89c4e742cce8c1208c1a41fc54e6c57
|
| 3 |
+
size 4475
|
config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "mistralai/Mistral-7B-v0.1",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"MistralForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"bos_token_id": 1,
|
| 7 |
+
"eos_token_id": 2,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 4096,
|
| 10 |
+
"initializer_range": 0.02,
|
| 11 |
+
"intermediate_size": 14336,
|
| 12 |
+
"max_position_embeddings": 32768,
|
| 13 |
+
"model_type": "mistral",
|
| 14 |
+
"num_attention_heads": 32,
|
| 15 |
+
"num_hidden_layers": 32,
|
| 16 |
+
"num_key_value_heads": 8,
|
| 17 |
+
"quantization_config": {
|
| 18 |
+
"bnb_4bit_compute_dtype": "float32",
|
| 19 |
+
"bnb_4bit_quant_type": "fp4",
|
| 20 |
+
"bnb_4bit_use_double_quant": false,
|
| 21 |
+
"llm_int8_enable_fp32_cpu_offload": false,
|
| 22 |
+
"llm_int8_has_fp16_weight": false,
|
| 23 |
+
"llm_int8_skip_modules": null,
|
| 24 |
+
"llm_int8_threshold": 6.0,
|
| 25 |
+
"load_in_4bit": false,
|
| 26 |
+
"load_in_8bit": true,
|
| 27 |
+
"quant_method": "bitsandbytes"
|
| 28 |
+
},
|
| 29 |
+
"rms_norm_eps": 1e-05,
|
| 30 |
+
"rope_theta": 10000.0,
|
| 31 |
+
"sliding_window": 4096,
|
| 32 |
+
"tie_word_embeddings": false,
|
| 33 |
+
"torch_dtype": "bfloat16",
|
| 34 |
+
"transformers_version": "4.34.0.dev0",
|
| 35 |
+
"use_cache": false,
|
| 36 |
+
"vocab_size": 32000
|
| 37 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"eos_token": "</s>",
|
| 4 |
+
"pad_token": "</s>",
|
| 5 |
+
"unk_token": "<unk>"
|
| 6 |
+
}
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": true,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": true,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": true,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": true,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": true,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": true,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"additional_special_tokens": [],
|
| 31 |
+
"bos_token": "<s>",
|
| 32 |
+
"clean_up_tokenization_spaces": false,
|
| 33 |
+
"eos_token": "</s>",
|
| 34 |
+
"legacy": true,
|
| 35 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 36 |
+
"pad_token": null,
|
| 37 |
+
"sp_model_kwargs": {},
|
| 38 |
+
"spaces_between_special_tokens": false,
|
| 39 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 40 |
+
"tokenizer_file": "/root/.cache/huggingface/hub/models--mistralai--Mistral-7B-v0.1/snapshots/78814a934d8ce59ee93599378f3e929ff137da06/tokenizer.json",
|
| 41 |
+
"trust_remote_code": false,
|
| 42 |
+
"unk_token": "<unk>",
|
| 43 |
+
"use_default_system_prompt": true,
|
| 44 |
+
"use_fast": true
|
| 45 |
+
}
|