Hugging Face's logo

brettbbb
/
race_cot_128

Safetensors
Generated from Trainer
Model card Files Community
brettbbb commited on
Commit
a280fe0
•
1 Parent(s): d9479c6

Training in progress, step 500

Browse files
Files changed (9) hide show
  1. README.md +54 -0
  2. adapter_config.json +28 -0
  3. adapter_model.bin +3 -0
  4. adapter_model.safetensors +3 -0
  5. all_results.json +7 -0
  6. args.txt +14 -0
  7. train_results.json +7 -0
  8. trainer_state.json +3868 -0
  9. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: llama2
3
+ base_model: lmsys/vicuna-7b-v1.5
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: race_cot_128
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
+ # race_cot_128
15
+
16
+ This model is a fine-tuned version of [lmsys/vicuna-7b-v1.5](https://huggingface.co/lmsys/vicuna-7b-v1.5) on an unknown dataset.
17
+
18
+ ## Model description
19
+
20
+ More information needed
21
+
22
+ ## Intended uses & limitations
23
+
24
+ More information needed
25
+
26
+ ## Training and evaluation data
27
+
28
+ More information needed
29
+
30
+ ## Training procedure
31
+
32
+ ### Training hyperparameters
33
+
34
+ The following hyperparameters were used during training:
35
+ - learning_rate: 0.0001
36
+ - train_batch_size: 4
37
+ - eval_batch_size: 8
38
+ - seed: 42
39
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
40
+ - lr_scheduler_type: linear
41
+ - lr_scheduler_warmup_steps: 5
42
+ - num_epochs: 20
43
+ - mixed_precision_training: Native AMP
44
+
45
+ ### Training results
46
+
47
+
48
+
49
+ ### Framework versions
50
+
51
+ - Transformers 4.36.0.dev0
52
+ - Pytorch 2.1.0+cu121
53
+ - Datasets 2.13.1
54
+ - Tokenizers 0.14.1
adapter_config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "lora_alpha": 64,
12
+ "lora_dropout": 0.1,
13
+ "modules_to_save": null,
14
+ "peft_type": "LORA",
15
+ "r": 16,
16
+ "rank_pattern": {},
17
+ "revision": null,
18
+ "target_modules": [
19
+ "gate_proj",
20
+ "k_proj",
21
+ "v_proj",
22
+ "up_proj",
23
+ "down_proj",
24
+ "q_proj",
25
+ "o_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 sha256:6bc79e05710a49c3381452820af8fc475b972524c83851f436496ef0087ee919
3
+ size 160069834
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f04894a14f5d2e8def3f17390319a8e7f0c99fafe83ffda0bc63ac9283ad21da
3
+ size 159967880
all_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "train_loss": 0.31634302906750233,
4
+ "train_runtime": 1044.5949,
5
+ "train_samples_per_second": 2.451,
6
+ "train_steps_per_second": 0.613
7
+ }
args.txt ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ base_model_name: lmsys/vicuna-7b-v1.5
2
+ batch_size: 4
3
+ cot: true
4
+ dataset_name: BENBENBENb/RACE1000COT
5
+ epochs: 20
6
+ eval_strategy: epoch
7
+ evaluation: false
8
+ learning_rate: 0.0001
9
+ logging_steps: 1
10
+ output_dir: brettbbb/race_cot_128
11
+ seed: 42
12
+ skip_example: true
13
+ train_size: 128
14
+ warmup_steps: 5
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "train_loss": 0.31634302906750233,
4
+ "train_runtime": 1044.5949,
5
+ "train_samples_per_second": 2.451,
6
+ "train_steps_per_second": 0.613
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,3868 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 20.0,
5
+ "eval_steps": 500,
6
+ "global_step": 640,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.03,
13
+ "learning_rate": 2e-05,
14
+ "loss": 3.2435,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.06,
19
+ "learning_rate": 4e-05,
20
+ "loss": 2.5079,
21
+ "step": 2
22
+ },
23
+ {
24
+ "epoch": 0.09,
25
+ "learning_rate": 6e-05,
26
+ "loss": 2.8812,
27
+ "step": 3
28
+ },
29
+ {
30
+ "epoch": 0.12,
31
+ "learning_rate": 8e-05,
32
+ "loss": 2.4454,
33
+ "step": 4
34
+ },
35
+ {
36
+ "epoch": 0.16,
37
+ "learning_rate": 0.0001,
38
+ "loss": 3.1388,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.19,
43
+ "learning_rate": 9.984251968503937e-05,
44
+ "loss": 2.5071,
45
+ "step": 6
46
+ },
47
+ {
48
+ "epoch": 0.22,
49
+ "learning_rate": 9.968503937007875e-05,
50
+ "loss": 2.3453,
51
+ "step": 7
52
+ },
53
+ {
54
+ "epoch": 0.25,
55
+ "learning_rate": 9.952755905511811e-05,
56
+ "loss": 2.7086,
57
+ "step": 8
58
+ },
59
+ {
60
+ "epoch": 0.28,
61
+ "learning_rate": 9.937007874015748e-05,
62
+ "loss": 2.4661,
63
+ "step": 9
64
+ },
65
+ {
66
+ "epoch": 0.31,
67
+ "learning_rate": 9.921259842519686e-05,
68
+ "loss": 2.3876,
69
+ "step": 10
70
+ },
71
+ {
72
+ "epoch": 0.34,
73
+ "learning_rate": 9.905511811023622e-05,
74
+ "loss": 2.0787,
75
+ "step": 11
76
+ },
77
+ {
78
+ "epoch": 0.38,
79
+ "learning_rate": 9.88976377952756e-05,
80
+ "loss": 2.2623,
81
+ "step": 12
82
+ },
83
+ {
84
+ "epoch": 0.41,
85
+ "learning_rate": 9.874015748031497e-05,
86
+ "loss": 1.9086,
87
+ "step": 13
88
+ },
89
+ {
90
+ "epoch": 0.44,
91
+ "learning_rate": 9.858267716535433e-05,
92
+ "loss": 1.842,
93
+ "step": 14
94
+ },
95
+ {
96
+ "epoch": 0.47,
97
+ "learning_rate": 9.842519685039371e-05,
98
+ "loss": 1.9555,
99
+ "step": 15
100
+ },
101
+ {
102
+ "epoch": 0.5,
103
+ "learning_rate": 9.826771653543308e-05,
104
+ "loss": 1.6565,
105
+ "step": 16
106
+ },
107
+ {
108
+ "epoch": 0.53,
109
+ "learning_rate": 9.811023622047244e-05,
110
+ "loss": 1.537,
111
+ "step": 17
112
+ },
113
+ {
114
+ "epoch": 0.56,
115
+ "learning_rate": 9.795275590551182e-05,
116
+ "loss": 1.7247,
117
+ "step": 18
118
+ },
119
+ {
120
+ "epoch": 0.59,
121
+ "learning_rate": 9.779527559055119e-05,
122
+ "loss": 1.7376,
123
+ "step": 19
124
+ },
125
+ {
126
+ "epoch": 0.62,
127
+ "learning_rate": 9.779527559055119e-05,
128
+ "loss": 1.9343,
129
+ "step": 20
130
+ },
131
+ {
132
+ "epoch": 0.66,
133
+ "learning_rate": 9.763779527559055e-05,
134
+ "loss": 1.6668,
135
+ "step": 21
136
+ },
137
+ {
138
+ "epoch": 0.69,
139
+ "learning_rate": 9.748031496062993e-05,
140
+ "loss": 1.6601,
141
+ "step": 22
142
+ },
143
+ {
144
+ "epoch": 0.72,
145
+ "learning_rate": 9.73228346456693e-05,
146
+ "loss": 1.8379,
147
+ "step": 23
148
+ },
149
+ {
150
+ "epoch": 0.75,
151
+ "learning_rate": 9.716535433070866e-05,
152
+ "loss": 1.6798,
153
+ "step": 24
154
+ },
155
+ {
156
+ "epoch": 0.78,
157
+ "learning_rate": 9.700787401574803e-05,
158
+ "loss": 1.6726,
159
+ "step": 25
160
+ },
161
+ {
162
+ "epoch": 0.81,
163
+ "learning_rate": 9.68503937007874e-05,
164
+ "loss": 1.3375,
165
+ "step": 26
166
+ },
167
+ {
168
+ "epoch": 0.84,
169
+ "learning_rate": 9.669291338582677e-05,
170
+ "loss": 1.7586,
171
+ "step": 27
172
+ },
173
+ {
174
+ "epoch": 0.88,
175
+ "learning_rate": 9.653543307086614e-05,
176
+ "loss": 1.871,
177
+ "step": 28
178
+ },
179
+ {
180
+ "epoch": 0.91,
181
+ "learning_rate": 9.637795275590552e-05,
182
+ "loss": 1.35,
183
+ "step": 29
184
+ },
185
+ {
186
+ "epoch": 0.94,
187
+ "learning_rate": 9.622047244094488e-05,
188
+ "loss": 1.7885,
189
+ "step": 30
190
+ },
191
+ {
192
+ "epoch": 0.97,
193
+ "learning_rate": 9.606299212598425e-05,
194
+ "loss": 1.6137,
195
+ "step": 31
196
+ },
197
+ {
198
+ "epoch": 1.0,
199
+ "learning_rate": 9.590551181102363e-05,
200
+ "loss": 1.645,
201
+ "step": 32
202
+ },
203
+ {
204
+ "epoch": 1.03,
205
+ "learning_rate": 9.574803149606299e-05,
206
+ "loss": 1.4522,
207
+ "step": 33
208
+ },
209
+ {
210
+ "epoch": 1.06,
211
+ "learning_rate": 9.559055118110236e-05,
212
+ "loss": 1.5255,
213
+ "step": 34
214
+ },
215
+ {
216
+ "epoch": 1.09,
217
+ "learning_rate": 9.543307086614174e-05,
218
+ "loss": 1.4846,
219
+ "step": 35
220
+ },
221
+ {
222
+ "epoch": 1.12,
223
+ "learning_rate": 9.52755905511811e-05,
224
+ "loss": 1.4279,
225
+ "step": 36
226
+ },
227
+ {
228
+ "epoch": 1.16,
229
+ "learning_rate": 9.511811023622048e-05,
230
+ "loss": 1.2765,
231
+ "step": 37
232
+ },
233
+ {
234
+ "epoch": 1.19,
235
+ "learning_rate": 9.496062992125985e-05,
236
+ "loss": 1.3945,
237
+ "step": 38
238
+ },
239
+ {
240
+ "epoch": 1.22,
241
+ "learning_rate": 9.480314960629921e-05,
242
+ "loss": 1.3376,
243
+ "step": 39
244
+ },
245
+ {
246
+ "epoch": 1.25,
247
+ "learning_rate": 9.464566929133859e-05,
248
+ "loss": 1.3207,
249
+ "step": 40
250
+ },
251
+ {
252
+ "epoch": 1.28,
253
+ "learning_rate": 9.448818897637796e-05,
254
+ "loss": 1.2531,
255
+ "step": 41
256
+ },
257
+ {
258
+ "epoch": 1.31,
259
+ "learning_rate": 9.433070866141732e-05,
260
+ "loss": 1.3067,
261
+ "step": 42
262
+ },
263
+ {
264
+ "epoch": 1.34,
265
+ "learning_rate": 9.41732283464567e-05,
266
+ "loss": 1.3033,
267
+ "step": 43
268
+ },
269
+ {
270
+ "epoch": 1.38,
271
+ "learning_rate": 9.401574803149607e-05,
272
+ "loss": 1.3832,
273
+ "step": 44
274
+ },
275
+ {
276
+ "epoch": 1.41,
277
+ "learning_rate": 9.385826771653545e-05,
278
+ "loss": 1.3039,
279
+ "step": 45
280
+ },
281
+ {
282
+ "epoch": 1.44,
283
+ "learning_rate": 9.370078740157481e-05,
284
+ "loss": 1.3668,
285
+ "step": 46
286
+ },
287
+ {
288
+ "epoch": 1.47,
289
+ "learning_rate": 9.354330708661418e-05,
290
+ "loss": 1.5877,
291
+ "step": 47
292
+ },
293
+ {
294
+ "epoch": 1.5,
295
+ "learning_rate": 9.338582677165355e-05,
296
+ "loss": 1.3632,
297
+ "step": 48
298
+ },
299
+ {
300
+ "epoch": 1.53,
301
+ "learning_rate": 9.322834645669292e-05,
302
+ "loss": 1.3005,
303
+ "step": 49
304
+ },
305
+ {
306
+ "epoch": 1.56,
307
+ "learning_rate": 9.307086614173229e-05,
308
+ "loss": 1.3815,
309
+ "step": 50
310
+ },
311
+ {
312
+ "epoch": 1.59,
313
+ "learning_rate": 9.291338582677166e-05,
314
+ "loss": 1.2945,
315
+ "step": 51
316
+ },
317
+ {
318
+ "epoch": 1.62,
319
+ "learning_rate": 9.275590551181103e-05,
320
+ "loss": 1.534,
321
+ "step": 52
322
+ },
323
+ {
324
+ "epoch": 1.66,
325
+ "learning_rate": 9.259842519685041e-05,
326
+ "loss": 1.4206,
327
+ "step": 53
328
+ },
329
+ {
330
+ "epoch": 1.69,
331
+ "learning_rate": 9.244094488188977e-05,
332
+ "loss": 1.1488,
333
+ "step": 54
334
+ },
335
+ {
336
+ "epoch": 1.72,
337
+ "learning_rate": 9.228346456692914e-05,
338
+ "loss": 1.3944,
339
+ "step": 55
340
+ },
341
+ {
342
+ "epoch": 1.75,
343
+ "learning_rate": 9.21259842519685e-05,
344
+ "loss": 1.643,
345
+ "step": 56
346
+ },
347
+ {
348
+ "epoch": 1.78,
349
+ "learning_rate": 9.196850393700787e-05,
350
+ "loss": 1.5561,
351
+ "step": 57
352
+ },
353
+ {
354
+ "epoch": 1.81,
355
+ "learning_rate": 9.181102362204725e-05,
356
+ "loss": 1.2806,
357
+ "step": 58
358
+ },
359
+ {
360
+ "epoch": 1.84,
361
+ "learning_rate": 9.165354330708661e-05,
362
+ "loss": 1.2347,
363
+ "step": 59
364
+ },
365
+ {
366
+ "epoch": 1.88,
367
+ "learning_rate": 9.149606299212598e-05,
368
+ "loss": 1.5723,
369
+ "step": 60
370
+ },
371
+ {
372
+ "epoch": 1.91,
373
+ "learning_rate": 9.133858267716536e-05,
374
+ "loss": 1.4924,
375
+ "step": 61
376
+ },
377
+ {
378
+ "epoch": 1.94,
379
+ "learning_rate": 9.118110236220472e-05,
380
+ "loss": 1.4557,
381
+ "step": 62
382
+ },
383
+ {
384
+ "epoch": 1.97,
385
+ "learning_rate": 9.102362204724409e-05,
386
+ "loss": 1.2131,
387
+ "step": 63
388
+ },
389
+ {
390
+ "epoch": 2.0,
391
+ "learning_rate": 9.086614173228347e-05,
392
+ "loss": 1.4723,
393
+ "step": 64
394
+ },
395
+ {
396
+ "epoch": 2.03,
397
+ "learning_rate": 9.070866141732283e-05,
398
+ "loss": 1.0617,
399
+ "step": 65
400
+ },
401
+ {
402
+ "epoch": 2.06,
403
+ "learning_rate": 9.05511811023622e-05,
404
+ "loss": 1.0665,
405
+ "step": 66
406
+ },
407
+ {
408
+ "epoch": 2.09,
409
+ "learning_rate": 9.039370078740158e-05,
410
+ "loss": 1.0078,
411
+ "step": 67
412
+ },
413
+ {
414
+ "epoch": 2.12,
415
+ "learning_rate": 9.023622047244094e-05,
416
+ "loss": 1.0409,
417
+ "step": 68
418
+ },
419
+ {
420
+ "epoch": 2.16,
421
+ "learning_rate": 9.007874015748032e-05,
422
+ "loss": 1.23,
423
+ "step": 69
424
+ },
425
+ {
426
+ "epoch": 2.19,
427
+ "learning_rate": 8.992125984251969e-05,
428
+ "loss": 1.1087,
429
+ "step": 70
430
+ },
431
+ {
432
+ "epoch": 2.22,
433
+ "learning_rate": 8.976377952755905e-05,
434
+ "loss": 0.7524,
435
+ "step": 71
436
+ },
437
+ {
438
+ "epoch": 2.25,
439
+ "learning_rate": 8.960629921259843e-05,
440
+ "loss": 0.8123,
441
+ "step": 72
442
+ },
443
+ {
444
+ "epoch": 2.28,
445
+ "learning_rate": 8.94488188976378e-05,
446
+ "loss": 1.0234,
447
+ "step": 73
448
+ },
449
+ {
450
+ "epoch": 2.31,
451
+ "learning_rate": 8.929133858267716e-05,
452
+ "loss": 1.1632,
453
+ "step": 74
454
+ },
455
+ {
456
+ "epoch": 2.34,
457
+ "learning_rate": 8.913385826771654e-05,
458
+ "loss": 1.0603,
459
+ "step": 75
460
+ },
461
+ {
462
+ "epoch": 2.38,
463
+ "learning_rate": 8.897637795275591e-05,
464
+ "loss": 1.3306,
465
+ "step": 76
466
+ },
467
+ {
468
+ "epoch": 2.41,
469
+ "learning_rate": 8.881889763779529e-05,
470
+ "loss": 0.8474,
471
+ "step": 77
472
+ },
473
+ {
474
+ "epoch": 2.44,
475
+ "learning_rate": 8.866141732283465e-05,
476
+ "loss": 0.9182,
477
+ "step": 78
478
+ },
479
+ {
480
+ "epoch": 2.47,
481
+ "learning_rate": 8.850393700787402e-05,
482
+ "loss": 0.9203,
483
+ "step": 79
484
+ },
485
+ {
486
+ "epoch": 2.5,
487
+ "learning_rate": 8.83464566929134e-05,
488
+ "loss": 0.979,
489
+ "step": 80
490
+ },
491
+ {
492
+ "epoch": 2.53,
493
+ "learning_rate": 8.818897637795276e-05,
494
+ "loss": 0.9674,
495
+ "step": 81
496
+ },
497
+ {
498
+ "epoch": 2.56,
499
+ "learning_rate": 8.803149606299213e-05,
500
+ "loss": 1.0255,
501
+ "step": 82
502
+ },
503
+ {
504
+ "epoch": 2.59,
505
+ "learning_rate": 8.78740157480315e-05,
506
+ "loss": 0.8677,
507
+ "step": 83
508
+ },
509
+ {
510
+ "epoch": 2.62,
511
+ "learning_rate": 8.771653543307087e-05,
512
+ "loss": 0.9527,
513
+ "step": 84
514
+ },
515
+ {
516
+ "epoch": 2.66,
517
+ "learning_rate": 8.755905511811025e-05,
518
+ "loss": 0.8919,
519
+ "step": 85
520
+ },
521
+ {
522
+ "epoch": 2.69,
523
+ "learning_rate": 8.740157480314962e-05,
524
+ "loss": 0.8617,
525
+ "step": 86
526
+ },
527
+ {
528
+ "epoch": 2.72,
529
+ "learning_rate": 8.724409448818898e-05,
530
+ "loss": 1.1484,
531
+ "step": 87
532
+ },
533
+ {
534
+ "epoch": 2.75,
535
+ "learning_rate": 8.708661417322835e-05,
536
+ "loss": 0.8079,
537
+ "step": 88
538
+ },
539
+ {
540
+ "epoch": 2.78,
541
+ "learning_rate": 8.692913385826773e-05,
542
+ "loss": 1.023,
543
+ "step": 89
544
+ },
545
+ {
546
+ "epoch": 2.81,
547
+ "learning_rate": 8.677165354330709e-05,
548
+ "loss": 0.9347,
549
+ "step": 90
550
+ },
551
+ {
552
+ "epoch": 2.84,
553
+ "learning_rate": 8.661417322834646e-05,
554
+ "loss": 0.9897,
555
+ "step": 91
556
+ },
557
+ {
558
+ "epoch": 2.88,
559
+ "learning_rate": 8.645669291338582e-05,
560
+ "loss": 0.8099,
561
+ "step": 92
562
+ },
563
+ {
564
+ "epoch": 2.91,
565
+ "learning_rate": 8.62992125984252e-05,
566
+ "loss": 0.7869,
567
+ "step": 93
568
+ },
569
+ {
570
+ "epoch": 2.94,
571
+ "learning_rate": 8.614173228346457e-05,
572
+ "loss": 1.082,
573
+ "step": 94
574
+ },
575
+ {
576
+ "epoch": 2.97,
577
+ "learning_rate": 8.598425196850393e-05,
578
+ "loss": 0.9262,
579
+ "step": 95
580
+ },
581
+ {
582
+ "epoch": 3.0,
583
+ "learning_rate": 8.582677165354331e-05,
584
+ "loss": 0.9898,
585
+ "step": 96
586
+ },
587
+ {
588
+ "epoch": 3.03,
589
+ "learning_rate": 8.566929133858268e-05,
590
+ "loss": 0.5495,
591
+ "step": 97
592
+ },
593
+ {
594
+ "epoch": 3.06,
595
+ "learning_rate": 8.551181102362204e-05,
596
+ "loss": 0.5758,
597
+ "step": 98
598
+ },
599
+ {
600
+ "epoch": 3.09,
601
+ "learning_rate": 8.535433070866142e-05,
602
+ "loss": 0.4991,
603
+ "step": 99
604
+ },
605
+ {
606
+ "epoch": 3.12,
607
+ "learning_rate": 8.519685039370079e-05,
608
+ "loss": 0.7096,
609
+ "step": 100
610
+ },
611
+ {
612
+ "epoch": 3.16,
613
+ "learning_rate": 8.503937007874016e-05,
614
+ "loss": 0.4769,
615
+ "step": 101
616
+ },
617
+ {
618
+ "epoch": 3.19,
619
+ "learning_rate": 8.488188976377953e-05,
620
+ "loss": 0.4177,
621
+ "step": 102
622
+ },
623
+ {
624
+ "epoch": 3.22,
625
+ "learning_rate": 8.47244094488189e-05,
626
+ "loss": 0.5507,
627
+ "step": 103
628
+ },
629
+ {
630
+ "epoch": 3.25,
631
+ "learning_rate": 8.456692913385827e-05,
632
+ "loss": 0.6499,
633
+ "step": 104
634
+ },
635
+ {
636
+ "epoch": 3.28,
637
+ "learning_rate": 8.440944881889764e-05,
638
+ "loss": 0.3373,
639
+ "step": 105
640
+ },
641
+ {
642
+ "epoch": 3.31,
643
+ "learning_rate": 8.4251968503937e-05,
644
+ "loss": 0.4854,
645
+ "step": 106
646
+ },
647
+ {
648
+ "epoch": 3.34,
649
+ "learning_rate": 8.409448818897638e-05,
650
+ "loss": 0.6089,
651
+ "step": 107
652
+ },
653
+ {
654
+ "epoch": 3.38,
655
+ "learning_rate": 8.393700787401575e-05,
656
+ "loss": 0.3305,
657
+ "step": 108
658
+ },
659
+ {
660
+ "epoch": 3.41,
661
+ "learning_rate": 8.377952755905513e-05,
662
+ "loss": 0.5199,
663
+ "step": 109
664
+ },
665
+ {
666
+ "epoch": 3.44,
667
+ "learning_rate": 8.36220472440945e-05,
668
+ "loss": 0.4402,
669
+ "step": 110
670
+ },
671
+ {
672
+ "epoch": 3.47,
673
+ "learning_rate": 8.346456692913386e-05,
674
+ "loss": 0.4375,
675
+ "step": 111
676
+ },
677
+ {
678
+ "epoch": 3.5,
679
+ "learning_rate": 8.330708661417324e-05,
680
+ "loss": 0.54,
681
+ "step": 112
682
+ },
683
+ {
684
+ "epoch": 3.53,
685
+ "learning_rate": 8.31496062992126e-05,
686
+ "loss": 0.4239,
687
+ "step": 113
688
+ },
689
+ {
690
+ "epoch": 3.56,
691
+ "learning_rate": 8.299212598425197e-05,
692
+ "loss": 0.4964,
693
+ "step": 114
694
+ },
695
+ {
696
+ "epoch": 3.59,
697
+ "learning_rate": 8.283464566929135e-05,
698
+ "loss": 0.5613,
699
+ "step": 115
700
+ },
701
+ {
702
+ "epoch": 3.62,
703
+ "learning_rate": 8.267716535433071e-05,
704
+ "loss": 0.5382,
705
+ "step": 116
706
+ },
707
+ {
708
+ "epoch": 3.66,
709
+ "learning_rate": 8.251968503937009e-05,
710
+ "loss": 0.4906,
711
+ "step": 117
712
+ },
713
+ {
714
+ "epoch": 3.69,
715
+ "learning_rate": 8.236220472440946e-05,
716
+ "loss": 0.3637,
717
+ "step": 118
718
+ },
719
+ {
720
+ "epoch": 3.72,
721
+ "learning_rate": 8.220472440944882e-05,
722
+ "loss": 0.352,
723
+ "step": 119
724
+ },
725
+ {
726
+ "epoch": 3.75,
727
+ "learning_rate": 8.20472440944882e-05,
728
+ "loss": 0.2867,
729
+ "step": 120
730
+ },
731
+ {
732
+ "epoch": 3.78,
733
+ "learning_rate": 8.188976377952757e-05,
734
+ "loss": 0.4565,
735
+ "step": 121
736
+ },
737
+ {
738
+ "epoch": 3.81,
739
+ "learning_rate": 8.173228346456693e-05,
740
+ "loss": 0.4714,
741
+ "step": 122
742
+ },
743
+ {
744
+ "epoch": 3.84,
745
+ "learning_rate": 8.15748031496063e-05,
746
+ "loss": 0.4415,
747
+ "step": 123
748
+ },
749
+ {
750
+ "epoch": 3.88,
751
+ "learning_rate": 8.141732283464568e-05,
752
+ "loss": 0.5417,
753
+ "step": 124
754
+ },
755
+ {
756
+ "epoch": 3.91,
757
+ "learning_rate": 8.125984251968504e-05,
758
+ "loss": 0.4383,
759
+ "step": 125
760
+ },
761
+ {
762
+ "epoch": 3.94,
763
+ "learning_rate": 8.110236220472441e-05,
764
+ "loss": 0.5118,
765
+ "step": 126
766
+ },
767
+ {
768
+ "epoch": 3.97,
769
+ "learning_rate": 8.094488188976377e-05,
770
+ "loss": 0.3704,
771
+ "step": 127
772
+ },
773
+ {
774
+ "epoch": 4.0,
775
+ "learning_rate": 8.078740157480315e-05,
776
+ "loss": 0.4092,
777
+ "step": 128
778
+ },
779
+ {
780
+ "epoch": 4.03,
781
+ "learning_rate": 8.062992125984252e-05,
782
+ "loss": 0.2282,
783
+ "step": 129
784
+ },
785
+ {
786
+ "epoch": 4.06,
787
+ "learning_rate": 8.047244094488188e-05,
788
+ "loss": 0.2546,
789
+ "step": 130
790
+ },
791
+ {
792
+ "epoch": 4.09,
793
+ "learning_rate": 8.031496062992126e-05,
794
+ "loss": 0.2409,
795
+ "step": 131
796
+ },
797
+ {
798
+ "epoch": 4.12,
799
+ "learning_rate": 8.015748031496063e-05,
800
+ "loss": 0.1932,
801
+ "step": 132
802
+ },
803
+ {
804
+ "epoch": 4.16,
805
+ "learning_rate": 8e-05,
806
+ "loss": 0.2128,
807
+ "step": 133
808
+ },
809
+ {
810
+ "epoch": 4.19,
811
+ "learning_rate": 7.984251968503937e-05,
812
+ "loss": 0.2557,
813
+ "step": 134
814
+ },
815
+ {
816
+ "epoch": 4.22,
817
+ "learning_rate": 7.968503937007874e-05,
818
+ "loss": 0.2007,
819
+ "step": 135
820
+ },
821
+ {
822
+ "epoch": 4.25,
823
+ "learning_rate": 7.952755905511812e-05,
824
+ "loss": 0.256,
825
+ "step": 136
826
+ },
827
+ {
828
+ "epoch": 4.28,
829
+ "learning_rate": 7.937007874015748e-05,
830
+ "loss": 0.3295,
831
+ "step": 137
832
+ },
833
+ {
834
+ "epoch": 4.31,
835
+ "learning_rate": 7.921259842519685e-05,
836
+ "loss": 0.2158,
837
+ "step": 138
838
+ },
839
+ {
840
+ "epoch": 4.34,
841
+ "learning_rate": 7.905511811023623e-05,
842
+ "loss": 0.2334,
843
+ "step": 139
844
+ },
845
+ {
846
+ "epoch": 4.38,
847
+ "learning_rate": 7.889763779527559e-05,
848
+ "loss": 0.2821,
849
+ "step": 140
850
+ },
851
+ {
852
+ "epoch": 4.41,
853
+ "learning_rate": 7.874015748031497e-05,
854
+ "loss": 0.2101,
855
+ "step": 141
856
+ },
857
+ {
858
+ "epoch": 4.44,
859
+ "learning_rate": 7.858267716535434e-05,
860
+ "loss": 0.4001,
861
+ "step": 142
862
+ },
863
+ {
864
+ "epoch": 4.47,
865
+ "learning_rate": 7.84251968503937e-05,
866
+ "loss": 0.3537,
867
+ "step": 143
868
+ },
869
+ {
870
+ "epoch": 4.5,
871
+ "learning_rate": 7.826771653543308e-05,
872
+ "loss": 0.1983,
873
+ "step": 144
874
+ },
875
+ {
876
+ "epoch": 4.53,
877
+ "learning_rate": 7.811023622047245e-05,
878
+ "loss": 0.1781,
879
+ "step": 145
880
+ },
881
+ {
882
+ "epoch": 4.56,
883
+ "learning_rate": 7.795275590551181e-05,
884
+ "loss": 0.1608,
885
+ "step": 146
886
+ },
887
+ {
888
+ "epoch": 4.59,
889
+ "learning_rate": 7.779527559055119e-05,
890
+ "loss": 0.2135,
891
+ "step": 147
892
+ },
893
+ {
894
+ "epoch": 4.62,
895
+ "learning_rate": 7.763779527559056e-05,
896
+ "loss": 0.2055,
897
+ "step": 148
898
+ },
899
+ {
900
+ "epoch": 4.66,
901
+ "learning_rate": 7.748031496062993e-05,
902
+ "loss": 0.2123,
903
+ "step": 149
904
+ },
905
+ {
906
+ "epoch": 4.69,
907
+ "learning_rate": 7.73228346456693e-05,
908
+ "loss": 0.2106,
909
+ "step": 150
910
+ },
911
+ {
912
+ "epoch": 4.72,
913
+ "learning_rate": 7.716535433070867e-05,
914
+ "loss": 0.1942,
915
+ "step": 151
916
+ },
917
+ {
918
+ "epoch": 4.75,
919
+ "learning_rate": 7.700787401574804e-05,
920
+ "loss": 0.1681,
921
+ "step": 152
922
+ },
923
+ {
924
+ "epoch": 4.78,
925
+ "learning_rate": 7.685039370078741e-05,
926
+ "loss": 0.2417,
927
+ "step": 153
928
+ },
929
+ {
930
+ "epoch": 4.81,
931
+ "learning_rate": 7.669291338582677e-05,
932
+ "loss": 0.2606,
933
+ "step": 154
934
+ },
935
+ {
936
+ "epoch": 4.84,
937
+ "learning_rate": 7.653543307086615e-05,
938
+ "loss": 0.2425,
939
+ "step": 155
940
+ },
941
+ {
942
+ "epoch": 4.88,
943
+ "learning_rate": 7.637795275590552e-05,
944
+ "loss": 0.1729,
945
+ "step": 156
946
+ },
947
+ {
948
+ "epoch": 4.91,
949
+ "learning_rate": 7.622047244094488e-05,
950
+ "loss": 0.2462,
951
+ "step": 157
952
+ },
953
+ {
954
+ "epoch": 4.94,
955
+ "learning_rate": 7.606299212598425e-05,
956
+ "loss": 0.2655,
957
+ "step": 158
958
+ },
959
+ {
960
+ "epoch": 4.97,
961
+ "learning_rate": 7.590551181102362e-05,
962
+ "loss": 0.1604,
963
+ "step": 159
964
+ },
965
+ {
966
+ "epoch": 5.0,
967
+ "learning_rate": 7.5748031496063e-05,
968
+ "loss": 0.2374,
969
+ "step": 160
970
+ },
971
+ {
972
+ "epoch": 5.03,
973
+ "learning_rate": 7.559055118110236e-05,
974
+ "loss": 0.1123,
975
+ "step": 161
976
+ },
977
+ {
978
+ "epoch": 5.06,
979
+ "learning_rate": 7.543307086614173e-05,
980
+ "loss": 0.1252,
981
+ "step": 162
982
+ },
983
+ {
984
+ "epoch": 5.09,
985
+ "learning_rate": 7.52755905511811e-05,
986
+ "loss": 0.1216,
987
+ "step": 163
988
+ },
989
+ {
990
+ "epoch": 5.12,
991
+ "learning_rate": 7.511811023622047e-05,
992
+ "loss": 0.1319,
993
+ "step": 164
994
+ },
995
+ {
996
+ "epoch": 5.16,
997
+ "learning_rate": 7.496062992125985e-05,
998
+ "loss": 0.1857,
999
+ "step": 165
1000
+ },
1001
+ {
1002
+ "epoch": 5.19,
1003
+ "learning_rate": 7.480314960629921e-05,
1004
+ "loss": 0.1783,
1005
+ "step": 166
1006
+ },
1007
+ {
1008
+ "epoch": 5.22,
1009
+ "learning_rate": 7.464566929133858e-05,
1010
+ "loss": 0.15,
1011
+ "step": 167
1012
+ },
1013
+ {
1014
+ "epoch": 5.25,
1015
+ "learning_rate": 7.448818897637796e-05,
1016
+ "loss": 0.1676,
1017
+ "step": 168
1018
+ },
1019
+ {
1020
+ "epoch": 5.28,
1021
+ "learning_rate": 7.433070866141732e-05,
1022
+ "loss": 0.1234,
1023
+ "step": 169
1024
+ },
1025
+ {
1026
+ "epoch": 5.31,
1027
+ "learning_rate": 7.417322834645669e-05,
1028
+ "loss": 0.1457,
1029
+ "step": 170
1030
+ },
1031
+ {
1032
+ "epoch": 5.34,
1033
+ "learning_rate": 7.401574803149607e-05,
1034
+ "loss": 0.1288,
1035
+ "step": 171
1036
+ },
1037
+ {
1038
+ "epoch": 5.38,
1039
+ "learning_rate": 7.385826771653543e-05,
1040
+ "loss": 0.2026,
1041
+ "step": 172
1042
+ },
1043
+ {
1044
+ "epoch": 5.41,
1045
+ "learning_rate": 7.370078740157481e-05,
1046
+ "loss": 0.1965,
1047
+ "step": 173
1048
+ },
1049
+ {
1050
+ "epoch": 5.44,
1051
+ "learning_rate": 7.354330708661418e-05,
1052
+ "loss": 0.145,
1053
+ "step": 174
1054
+ },
1055
+ {
1056
+ "epoch": 5.47,
1057
+ "learning_rate": 7.338582677165354e-05,
1058
+ "loss": 0.1021,
1059
+ "step": 175
1060
+ },
1061
+ {
1062
+ "epoch": 5.5,
1063
+ "learning_rate": 7.322834645669292e-05,
1064
+ "loss": 0.2084,
1065
+ "step": 176
1066
+ },
1067
+ {
1068
+ "epoch": 5.53,
1069
+ "learning_rate": 7.307086614173229e-05,
1070
+ "loss": 0.133,
1071
+ "step": 177
1072
+ },
1073
+ {
1074
+ "epoch": 5.56,
1075
+ "learning_rate": 7.291338582677165e-05,
1076
+ "loss": 0.2054,
1077
+ "step": 178
1078
+ },
1079
+ {
1080
+ "epoch": 5.59,
1081
+ "learning_rate": 7.275590551181103e-05,
1082
+ "loss": 0.1512,
1083
+ "step": 179
1084
+ },
1085
+ {
1086
+ "epoch": 5.62,
1087
+ "learning_rate": 7.25984251968504e-05,
1088
+ "loss": 0.1231,
1089
+ "step": 180
1090
+ },
1091
+ {
1092
+ "epoch": 5.66,
1093
+ "learning_rate": 7.244094488188978e-05,
1094
+ "loss": 0.1453,
1095
+ "step": 181
1096
+ },
1097
+ {
1098
+ "epoch": 5.69,
1099
+ "learning_rate": 7.228346456692914e-05,
1100
+ "loss": 0.1277,
1101
+ "step": 182
1102
+ },
1103
+ {
1104
+ "epoch": 5.72,
1105
+ "learning_rate": 7.212598425196851e-05,
1106
+ "loss": 0.164,
1107
+ "step": 183
1108
+ },
1109
+ {
1110
+ "epoch": 5.75,
1111
+ "learning_rate": 7.196850393700789e-05,
1112
+ "loss": 0.1533,
1113
+ "step": 184
1114
+ },
1115
+ {
1116
+ "epoch": 5.78,
1117
+ "learning_rate": 7.181102362204725e-05,
1118
+ "loss": 0.2112,
1119
+ "step": 185
1120
+ },
1121
+ {
1122
+ "epoch": 5.81,
1123
+ "learning_rate": 7.165354330708662e-05,
1124
+ "loss": 0.1632,
1125
+ "step": 186
1126
+ },
1127
+ {
1128
+ "epoch": 5.84,
1129
+ "learning_rate": 7.1496062992126e-05,
1130
+ "loss": 0.1842,
1131
+ "step": 187
1132
+ },
1133
+ {
1134
+ "epoch": 5.88,
1135
+ "learning_rate": 7.133858267716536e-05,
1136
+ "loss": 0.1738,
1137
+ "step": 188
1138
+ },
1139
+ {
1140
+ "epoch": 5.91,
1141
+ "learning_rate": 7.118110236220473e-05,
1142
+ "loss": 0.1458,
1143
+ "step": 189
1144
+ },
1145
+ {
1146
+ "epoch": 5.94,
1147
+ "learning_rate": 7.102362204724409e-05,
1148
+ "loss": 0.2163,
1149
+ "step": 190
1150
+ },
1151
+ {
1152
+ "epoch": 5.97,
1153
+ "learning_rate": 7.086614173228347e-05,
1154
+ "loss": 0.2372,
1155
+ "step": 191
1156
+ },
1157
+ {
1158
+ "epoch": 6.0,
1159
+ "learning_rate": 7.070866141732284e-05,
1160
+ "loss": 0.1905,
1161
+ "step": 192
1162
+ },
1163
+ {
1164
+ "epoch": 6.03,
1165
+ "learning_rate": 7.05511811023622e-05,
1166
+ "loss": 0.0759,
1167
+ "step": 193
1168
+ },
1169
+ {
1170
+ "epoch": 6.06,
1171
+ "learning_rate": 7.039370078740157e-05,
1172
+ "loss": 0.101,
1173
+ "step": 194
1174
+ },
1175
+ {
1176
+ "epoch": 6.09,
1177
+ "learning_rate": 7.023622047244095e-05,
1178
+ "loss": 0.0936,
1179
+ "step": 195
1180
+ },
1181
+ {
1182
+ "epoch": 6.12,
1183
+ "learning_rate": 7.007874015748031e-05,
1184
+ "loss": 0.0911,
1185
+ "step": 196
1186
+ },
1187
+ {
1188
+ "epoch": 6.16,
1189
+ "learning_rate": 6.992125984251969e-05,
1190
+ "loss": 0.1201,
1191
+ "step": 197
1192
+ },
1193
+ {
1194
+ "epoch": 6.19,
1195
+ "learning_rate": 6.976377952755906e-05,
1196
+ "loss": 0.1026,
1197
+ "step": 198
1198
+ },
1199
+ {
1200
+ "epoch": 6.22,
1201
+ "learning_rate": 6.960629921259842e-05,
1202
+ "loss": 0.1676,
1203
+ "step": 199
1204
+ },
1205
+ {
1206
+ "epoch": 6.25,
1207
+ "learning_rate": 6.94488188976378e-05,
1208
+ "loss": 0.0755,
1209
+ "step": 200
1210
+ },
1211
+ {
1212
+ "epoch": 6.28,
1213
+ "learning_rate": 6.929133858267717e-05,
1214
+ "loss": 0.1642,
1215
+ "step": 201
1216
+ },
1217
+ {
1218
+ "epoch": 6.31,
1219
+ "learning_rate": 6.913385826771653e-05,
1220
+ "loss": 0.0813,
1221
+ "step": 202
1222
+ },
1223
+ {
1224
+ "epoch": 6.34,
1225
+ "learning_rate": 6.897637795275591e-05,
1226
+ "loss": 0.1094,
1227
+ "step": 203
1228
+ },
1229
+ {
1230
+ "epoch": 6.38,
1231
+ "learning_rate": 6.881889763779528e-05,
1232
+ "loss": 0.1899,
1233
+ "step": 204
1234
+ },
1235
+ {
1236
+ "epoch": 6.41,
1237
+ "learning_rate": 6.866141732283465e-05,
1238
+ "loss": 0.126,
1239
+ "step": 205
1240
+ },
1241
+ {
1242
+ "epoch": 6.44,
1243
+ "learning_rate": 6.850393700787402e-05,
1244
+ "loss": 0.1822,
1245
+ "step": 206
1246
+ },
1247
+ {
1248
+ "epoch": 6.47,
1249
+ "learning_rate": 6.834645669291338e-05,
1250
+ "loss": 0.1147,
1251
+ "step": 207
1252
+ },
1253
+ {
1254
+ "epoch": 6.5,
1255
+ "learning_rate": 6.818897637795276e-05,
1256
+ "loss": 0.0974,
1257
+ "step": 208
1258
+ },
1259
+ {
1260
+ "epoch": 6.53,
1261
+ "learning_rate": 6.803149606299213e-05,
1262
+ "loss": 0.1423,
1263
+ "step": 209
1264
+ },
1265
+ {
1266
+ "epoch": 6.56,
1267
+ "learning_rate": 6.78740157480315e-05,
1268
+ "loss": 0.1508,
1269
+ "step": 210
1270
+ },
1271
+ {
1272
+ "epoch": 6.59,
1273
+ "learning_rate": 6.771653543307087e-05,
1274
+ "loss": 0.1236,
1275
+ "step": 211
1276
+ },
1277
+ {
1278
+ "epoch": 6.62,
1279
+ "learning_rate": 6.755905511811024e-05,
1280
+ "loss": 0.1291,
1281
+ "step": 212
1282
+ },
1283
+ {
1284
+ "epoch": 6.66,
1285
+ "learning_rate": 6.740157480314962e-05,
1286
+ "loss": 0.1077,
1287
+ "step": 213
1288
+ },
1289
+ {
1290
+ "epoch": 6.69,
1291
+ "learning_rate": 6.724409448818898e-05,
1292
+ "loss": 0.1484,
1293
+ "step": 214
1294
+ },
1295
+ {
1296
+ "epoch": 6.72,
1297
+ "learning_rate": 6.708661417322835e-05,
1298
+ "loss": 0.1311,
1299
+ "step": 215
1300
+ },
1301
+ {
1302
+ "epoch": 6.75,
1303
+ "learning_rate": 6.692913385826773e-05,
1304
+ "loss": 0.1,
1305
+ "step": 216
1306
+ },
1307
+ {
1308
+ "epoch": 6.78,
1309
+ "learning_rate": 6.677165354330709e-05,
1310
+ "loss": 0.1236,
1311
+ "step": 217
1312
+ },
1313
+ {
1314
+ "epoch": 6.81,
1315
+ "learning_rate": 6.661417322834646e-05,
1316
+ "loss": 0.091,
1317
+ "step": 218
1318
+ },
1319
+ {
1320
+ "epoch": 6.84,
1321
+ "learning_rate": 6.645669291338584e-05,
1322
+ "loss": 0.1268,
1323
+ "step": 219
1324
+ },
1325
+ {
1326
+ "epoch": 6.88,
1327
+ "learning_rate": 6.62992125984252e-05,
1328
+ "loss": 0.1366,
1329
+ "step": 220
1330
+ },
1331
+ {
1332
+ "epoch": 6.91,
1333
+ "learning_rate": 6.614173228346457e-05,
1334
+ "loss": 0.1511,
1335
+ "step": 221
1336
+ },
1337
+ {
1338
+ "epoch": 6.94,
1339
+ "learning_rate": 6.598425196850395e-05,
1340
+ "loss": 0.1188,
1341
+ "step": 222
1342
+ },
1343
+ {
1344
+ "epoch": 6.97,
1345
+ "learning_rate": 6.582677165354331e-05,
1346
+ "loss": 0.1433,
1347
+ "step": 223
1348
+ },
1349
+ {
1350
+ "epoch": 7.0,
1351
+ "learning_rate": 6.566929133858268e-05,
1352
+ "loss": 0.1124,
1353
+ "step": 224
1354
+ },
1355
+ {
1356
+ "epoch": 7.03,
1357
+ "learning_rate": 6.551181102362204e-05,
1358
+ "loss": 0.121,
1359
+ "step": 225
1360
+ },
1361
+ {
1362
+ "epoch": 7.06,
1363
+ "learning_rate": 6.535433070866141e-05,
1364
+ "loss": 0.0712,
1365
+ "step": 226
1366
+ },
1367
+ {
1368
+ "epoch": 7.09,
1369
+ "learning_rate": 6.519685039370079e-05,
1370
+ "loss": 0.0902,
1371
+ "step": 227
1372
+ },
1373
+ {
1374
+ "epoch": 7.12,
1375
+ "learning_rate": 6.503937007874015e-05,
1376
+ "loss": 0.1052,
1377
+ "step": 228
1378
+ },
1379
+ {
1380
+ "epoch": 7.16,
1381
+ "learning_rate": 6.488188976377953e-05,
1382
+ "loss": 0.086,
1383
+ "step": 229
1384
+ },
1385
+ {
1386
+ "epoch": 7.19,
1387
+ "learning_rate": 6.47244094488189e-05,
1388
+ "loss": 0.0905,
1389
+ "step": 230
1390
+ },
1391
+ {
1392
+ "epoch": 7.22,
1393
+ "learning_rate": 6.456692913385826e-05,
1394
+ "loss": 0.0705,
1395
+ "step": 231
1396
+ },
1397
+ {
1398
+ "epoch": 7.25,
1399
+ "learning_rate": 6.440944881889764e-05,
1400
+ "loss": 0.1301,
1401
+ "step": 232
1402
+ },
1403
+ {
1404
+ "epoch": 7.28,
1405
+ "learning_rate": 6.425196850393701e-05,
1406
+ "loss": 0.1262,
1407
+ "step": 233
1408
+ },
1409
+ {
1410
+ "epoch": 7.31,
1411
+ "learning_rate": 6.409448818897637e-05,
1412
+ "loss": 0.0997,
1413
+ "step": 234
1414
+ },
1415
+ {
1416
+ "epoch": 7.34,
1417
+ "learning_rate": 6.393700787401575e-05,
1418
+ "loss": 0.1171,
1419
+ "step": 235
1420
+ },
1421
+ {
1422
+ "epoch": 7.38,
1423
+ "learning_rate": 6.377952755905512e-05,
1424
+ "loss": 0.069,
1425
+ "step": 236
1426
+ },
1427
+ {
1428
+ "epoch": 7.41,
1429
+ "learning_rate": 6.36220472440945e-05,
1430
+ "loss": 0.089,
1431
+ "step": 237
1432
+ },
1433
+ {
1434
+ "epoch": 7.44,
1435
+ "learning_rate": 6.346456692913386e-05,
1436
+ "loss": 0.1417,
1437
+ "step": 238
1438
+ },
1439
+ {
1440
+ "epoch": 7.47,
1441
+ "learning_rate": 6.330708661417323e-05,
1442
+ "loss": 0.1289,
1443
+ "step": 239
1444
+ },
1445
+ {
1446
+ "epoch": 7.5,
1447
+ "learning_rate": 6.31496062992126e-05,
1448
+ "loss": 0.0897,
1449
+ "step": 240
1450
+ },
1451
+ {
1452
+ "epoch": 7.53,
1453
+ "learning_rate": 6.299212598425197e-05,
1454
+ "loss": 0.0718,
1455
+ "step": 241
1456
+ },
1457
+ {
1458
+ "epoch": 7.56,
1459
+ "learning_rate": 6.283464566929134e-05,
1460
+ "loss": 0.1893,
1461
+ "step": 242
1462
+ },
1463
+ {
1464
+ "epoch": 7.59,
1465
+ "learning_rate": 6.267716535433072e-05,
1466
+ "loss": 0.0971,
1467
+ "step": 243
1468
+ },
1469
+ {
1470
+ "epoch": 7.62,
1471
+ "learning_rate": 6.251968503937008e-05,
1472
+ "loss": 0.1143,
1473
+ "step": 244
1474
+ },
1475
+ {
1476
+ "epoch": 7.66,
1477
+ "learning_rate": 6.236220472440946e-05,
1478
+ "loss": 0.0718,
1479
+ "step": 245
1480
+ },
1481
+ {
1482
+ "epoch": 7.69,
1483
+ "learning_rate": 6.220472440944882e-05,
1484
+ "loss": 0.0847,
1485
+ "step": 246
1486
+ },
1487
+ {
1488
+ "epoch": 7.72,
1489
+ "learning_rate": 6.204724409448819e-05,
1490
+ "loss": 0.1153,
1491
+ "step": 247
1492
+ },
1493
+ {
1494
+ "epoch": 7.75,
1495
+ "learning_rate": 6.188976377952757e-05,
1496
+ "loss": 0.0645,
1497
+ "step": 248
1498
+ },
1499
+ {
1500
+ "epoch": 7.78,
1501
+ "learning_rate": 6.173228346456693e-05,
1502
+ "loss": 0.1279,
1503
+ "step": 249
1504
+ },
1505
+ {
1506
+ "epoch": 7.81,
1507
+ "learning_rate": 6.15748031496063e-05,
1508
+ "loss": 0.1142,
1509
+ "step": 250
1510
+ },
1511
+ {
1512
+ "epoch": 7.84,
1513
+ "learning_rate": 6.141732283464568e-05,
1514
+ "loss": 0.1066,
1515
+ "step": 251
1516
+ },
1517
+ {
1518
+ "epoch": 7.88,
1519
+ "learning_rate": 6.125984251968504e-05,
1520
+ "loss": 0.1069,
1521
+ "step": 252
1522
+ },
1523
+ {
1524
+ "epoch": 7.91,
1525
+ "learning_rate": 6.110236220472442e-05,
1526
+ "loss": 0.0769,
1527
+ "step": 253
1528
+ },
1529
+ {
1530
+ "epoch": 7.94,
1531
+ "learning_rate": 6.094488188976378e-05,
1532
+ "loss": 0.1081,
1533
+ "step": 254
1534
+ },
1535
+ {
1536
+ "epoch": 7.97,
1537
+ "learning_rate": 6.078740157480315e-05,
1538
+ "loss": 0.1001,
1539
+ "step": 255
1540
+ },
1541
+ {
1542
+ "epoch": 8.0,
1543
+ "learning_rate": 6.0629921259842526e-05,
1544
+ "loss": 0.1873,
1545
+ "step": 256
1546
+ },
1547
+ {
1548
+ "epoch": 8.03,
1549
+ "learning_rate": 6.047244094488189e-05,
1550
+ "loss": 0.064,
1551
+ "step": 257
1552
+ },
1553
+ {
1554
+ "epoch": 8.06,
1555
+ "learning_rate": 6.031496062992126e-05,
1556
+ "loss": 0.0706,
1557
+ "step": 258
1558
+ },
1559
+ {
1560
+ "epoch": 8.09,
1561
+ "learning_rate": 6.0157480314960636e-05,
1562
+ "loss": 0.0778,
1563
+ "step": 259
1564
+ },
1565
+ {
1566
+ "epoch": 8.12,
1567
+ "learning_rate": 6e-05,
1568
+ "loss": 0.0954,
1569
+ "step": 260
1570
+ },
1571
+ {
1572
+ "epoch": 8.16,
1573
+ "learning_rate": 5.984251968503938e-05,
1574
+ "loss": 0.0639,
1575
+ "step": 261
1576
+ },
1577
+ {
1578
+ "epoch": 8.19,
1579
+ "learning_rate": 5.9685039370078746e-05,
1580
+ "loss": 0.0911,
1581
+ "step": 262
1582
+ },
1583
+ {
1584
+ "epoch": 8.22,
1585
+ "learning_rate": 5.952755905511811e-05,
1586
+ "loss": 0.0805,
1587
+ "step": 263
1588
+ },
1589
+ {
1590
+ "epoch": 8.25,
1591
+ "learning_rate": 5.9370078740157483e-05,
1592
+ "loss": 0.1163,
1593
+ "step": 264
1594
+ },
1595
+ {
1596
+ "epoch": 8.28,
1597
+ "learning_rate": 5.9212598425196856e-05,
1598
+ "loss": 0.0768,
1599
+ "step": 265
1600
+ },
1601
+ {
1602
+ "epoch": 8.31,
1603
+ "learning_rate": 5.905511811023622e-05,
1604
+ "loss": 0.0607,
1605
+ "step": 266
1606
+ },
1607
+ {
1608
+ "epoch": 8.34,
1609
+ "learning_rate": 5.889763779527559e-05,
1610
+ "loss": 0.0577,
1611
+ "step": 267
1612
+ },
1613
+ {
1614
+ "epoch": 8.38,
1615
+ "learning_rate": 5.874015748031496e-05,
1616
+ "loss": 0.0714,
1617
+ "step": 268
1618
+ },
1619
+ {
1620
+ "epoch": 8.41,
1621
+ "learning_rate": 5.858267716535434e-05,
1622
+ "loss": 0.0782,
1623
+ "step": 269
1624
+ },
1625
+ {
1626
+ "epoch": 8.44,
1627
+ "learning_rate": 5.84251968503937e-05,
1628
+ "loss": 0.0561,
1629
+ "step": 270
1630
+ },
1631
+ {
1632
+ "epoch": 8.47,
1633
+ "learning_rate": 5.826771653543307e-05,
1634
+ "loss": 0.0916,
1635
+ "step": 271
1636
+ },
1637
+ {
1638
+ "epoch": 8.5,
1639
+ "learning_rate": 5.811023622047245e-05,
1640
+ "loss": 0.0822,
1641
+ "step": 272
1642
+ },
1643
+ {
1644
+ "epoch": 8.53,
1645
+ "learning_rate": 5.795275590551181e-05,
1646
+ "loss": 0.11,
1647
+ "step": 273
1648
+ },
1649
+ {
1650
+ "epoch": 8.56,
1651
+ "learning_rate": 5.779527559055118e-05,
1652
+ "loss": 0.1089,
1653
+ "step": 274
1654
+ },
1655
+ {
1656
+ "epoch": 8.59,
1657
+ "learning_rate": 5.763779527559056e-05,
1658
+ "loss": 0.0626,
1659
+ "step": 275
1660
+ },
1661
+ {
1662
+ "epoch": 8.62,
1663
+ "learning_rate": 5.748031496062992e-05,
1664
+ "loss": 0.0654,
1665
+ "step": 276
1666
+ },
1667
+ {
1668
+ "epoch": 8.66,
1669
+ "learning_rate": 5.73228346456693e-05,
1670
+ "loss": 0.1171,
1671
+ "step": 277
1672
+ },
1673
+ {
1674
+ "epoch": 8.69,
1675
+ "learning_rate": 5.716535433070867e-05,
1676
+ "loss": 0.0866,
1677
+ "step": 278
1678
+ },
1679
+ {
1680
+ "epoch": 8.72,
1681
+ "learning_rate": 5.700787401574803e-05,
1682
+ "loss": 0.0735,
1683
+ "step": 279
1684
+ },
1685
+ {
1686
+ "epoch": 8.75,
1687
+ "learning_rate": 5.6850393700787404e-05,
1688
+ "loss": 0.1289,
1689
+ "step": 280
1690
+ },
1691
+ {
1692
+ "epoch": 8.78,
1693
+ "learning_rate": 5.6692913385826777e-05,
1694
+ "loss": 0.1031,
1695
+ "step": 281
1696
+ },
1697
+ {
1698
+ "epoch": 8.81,
1699
+ "learning_rate": 5.653543307086614e-05,
1700
+ "loss": 0.1215,
1701
+ "step": 282
1702
+ },
1703
+ {
1704
+ "epoch": 8.84,
1705
+ "learning_rate": 5.6377952755905514e-05,
1706
+ "loss": 0.1482,
1707
+ "step": 283
1708
+ },
1709
+ {
1710
+ "epoch": 8.88,
1711
+ "learning_rate": 5.622047244094488e-05,
1712
+ "loss": 0.1245,
1713
+ "step": 284
1714
+ },
1715
+ {
1716
+ "epoch": 8.91,
1717
+ "learning_rate": 5.606299212598426e-05,
1718
+ "loss": 0.0637,
1719
+ "step": 285
1720
+ },
1721
+ {
1722
+ "epoch": 8.94,
1723
+ "learning_rate": 5.5905511811023624e-05,
1724
+ "loss": 0.0751,
1725
+ "step": 286
1726
+ },
1727
+ {
1728
+ "epoch": 8.97,
1729
+ "learning_rate": 5.574803149606299e-05,
1730
+ "loss": 0.0757,
1731
+ "step": 287
1732
+ },
1733
+ {
1734
+ "epoch": 9.0,
1735
+ "learning_rate": 5.559055118110237e-05,
1736
+ "loss": 0.0941,
1737
+ "step": 288
1738
+ },
1739
+ {
1740
+ "epoch": 9.03,
1741
+ "learning_rate": 5.5433070866141734e-05,
1742
+ "loss": 0.1105,
1743
+ "step": 289
1744
+ },
1745
+ {
1746
+ "epoch": 9.06,
1747
+ "learning_rate": 5.52755905511811e-05,
1748
+ "loss": 0.0519,
1749
+ "step": 290
1750
+ },
1751
+ {
1752
+ "epoch": 9.09,
1753
+ "learning_rate": 5.511811023622048e-05,
1754
+ "loss": 0.0859,
1755
+ "step": 291
1756
+ },
1757
+ {
1758
+ "epoch": 9.12,
1759
+ "learning_rate": 5.496062992125984e-05,
1760
+ "loss": 0.0568,
1761
+ "step": 292
1762
+ },
1763
+ {
1764
+ "epoch": 9.16,
1765
+ "learning_rate": 5.480314960629922e-05,
1766
+ "loss": 0.1288,
1767
+ "step": 293
1768
+ },
1769
+ {
1770
+ "epoch": 9.19,
1771
+ "learning_rate": 5.464566929133859e-05,
1772
+ "loss": 0.083,
1773
+ "step": 294
1774
+ },
1775
+ {
1776
+ "epoch": 9.22,
1777
+ "learning_rate": 5.448818897637795e-05,
1778
+ "loss": 0.1869,
1779
+ "step": 295
1780
+ },
1781
+ {
1782
+ "epoch": 9.25,
1783
+ "learning_rate": 5.433070866141733e-05,
1784
+ "loss": 0.0604,
1785
+ "step": 296
1786
+ },
1787
+ {
1788
+ "epoch": 9.28,
1789
+ "learning_rate": 5.41732283464567e-05,
1790
+ "loss": 0.073,
1791
+ "step": 297
1792
+ },
1793
+ {
1794
+ "epoch": 9.31,
1795
+ "learning_rate": 5.401574803149606e-05,
1796
+ "loss": 0.0853,
1797
+ "step": 298
1798
+ },
1799
+ {
1800
+ "epoch": 9.34,
1801
+ "learning_rate": 5.3858267716535435e-05,
1802
+ "loss": 0.1008,
1803
+ "step": 299
1804
+ },
1805
+ {
1806
+ "epoch": 9.38,
1807
+ "learning_rate": 5.37007874015748e-05,
1808
+ "loss": 0.0557,
1809
+ "step": 300
1810
+ },
1811
+ {
1812
+ "epoch": 9.41,
1813
+ "learning_rate": 5.354330708661418e-05,
1814
+ "loss": 0.062,
1815
+ "step": 301
1816
+ },
1817
+ {
1818
+ "epoch": 9.44,
1819
+ "learning_rate": 5.3385826771653545e-05,
1820
+ "loss": 0.081,
1821
+ "step": 302
1822
+ },
1823
+ {
1824
+ "epoch": 9.47,
1825
+ "learning_rate": 5.322834645669291e-05,
1826
+ "loss": 0.0598,
1827
+ "step": 303
1828
+ },
1829
+ {
1830
+ "epoch": 9.5,
1831
+ "learning_rate": 5.307086614173229e-05,
1832
+ "loss": 0.0602,
1833
+ "step": 304
1834
+ },
1835
+ {
1836
+ "epoch": 9.53,
1837
+ "learning_rate": 5.2913385826771654e-05,
1838
+ "loss": 0.0549,
1839
+ "step": 305
1840
+ },
1841
+ {
1842
+ "epoch": 9.56,
1843
+ "learning_rate": 5.275590551181102e-05,
1844
+ "loss": 0.0533,
1845
+ "step": 306
1846
+ },
1847
+ {
1848
+ "epoch": 9.59,
1849
+ "learning_rate": 5.25984251968504e-05,
1850
+ "loss": 0.0817,
1851
+ "step": 307
1852
+ },
1853
+ {
1854
+ "epoch": 9.62,
1855
+ "learning_rate": 5.2440944881889764e-05,
1856
+ "loss": 0.0674,
1857
+ "step": 308
1858
+ },
1859
+ {
1860
+ "epoch": 9.66,
1861
+ "learning_rate": 5.228346456692914e-05,
1862
+ "loss": 0.1059,
1863
+ "step": 309
1864
+ },
1865
+ {
1866
+ "epoch": 9.69,
1867
+ "learning_rate": 5.212598425196851e-05,
1868
+ "loss": 0.0883,
1869
+ "step": 310
1870
+ },
1871
+ {
1872
+ "epoch": 9.72,
1873
+ "learning_rate": 5.1968503937007874e-05,
1874
+ "loss": 0.1352,
1875
+ "step": 311
1876
+ },
1877
+ {
1878
+ "epoch": 9.75,
1879
+ "learning_rate": 5.181102362204725e-05,
1880
+ "loss": 0.0634,
1881
+ "step": 312
1882
+ },
1883
+ {
1884
+ "epoch": 9.78,
1885
+ "learning_rate": 5.165354330708662e-05,
1886
+ "loss": 0.0599,
1887
+ "step": 313
1888
+ },
1889
+ {
1890
+ "epoch": 9.81,
1891
+ "learning_rate": 5.1496062992125984e-05,
1892
+ "loss": 0.0545,
1893
+ "step": 314
1894
+ },
1895
+ {
1896
+ "epoch": 9.84,
1897
+ "learning_rate": 5.1338582677165356e-05,
1898
+ "loss": 0.1062,
1899
+ "step": 315
1900
+ },
1901
+ {
1902
+ "epoch": 9.88,
1903
+ "learning_rate": 5.118110236220473e-05,
1904
+ "loss": 0.0659,
1905
+ "step": 316
1906
+ },
1907
+ {
1908
+ "epoch": 9.91,
1909
+ "learning_rate": 5.10236220472441e-05,
1910
+ "loss": 0.0969,
1911
+ "step": 317
1912
+ },
1913
+ {
1914
+ "epoch": 9.94,
1915
+ "learning_rate": 5.0866141732283466e-05,
1916
+ "loss": 0.0963,
1917
+ "step": 318
1918
+ },
1919
+ {
1920
+ "epoch": 9.97,
1921
+ "learning_rate": 5.070866141732283e-05,
1922
+ "loss": 0.0849,
1923
+ "step": 319
1924
+ },
1925
+ {
1926
+ "epoch": 10.0,
1927
+ "learning_rate": 5.055118110236221e-05,
1928
+ "loss": 0.0895,
1929
+ "step": 320
1930
+ },
1931
+ {
1932
+ "epoch": 10.03,
1933
+ "learning_rate": 5.0393700787401575e-05,
1934
+ "loss": 0.0552,
1935
+ "step": 321
1936
+ },
1937
+ {
1938
+ "epoch": 10.06,
1939
+ "learning_rate": 5.023622047244094e-05,
1940
+ "loss": 0.0649,
1941
+ "step": 322
1942
+ },
1943
+ {
1944
+ "epoch": 10.09,
1945
+ "learning_rate": 5.007874015748032e-05,
1946
+ "loss": 0.052,
1947
+ "step": 323
1948
+ },
1949
+ {
1950
+ "epoch": 10.12,
1951
+ "learning_rate": 4.9921259842519685e-05,
1952
+ "loss": 0.0748,
1953
+ "step": 324
1954
+ },
1955
+ {
1956
+ "epoch": 10.16,
1957
+ "learning_rate": 4.976377952755906e-05,
1958
+ "loss": 0.1191,
1959
+ "step": 325
1960
+ },
1961
+ {
1962
+ "epoch": 10.19,
1963
+ "learning_rate": 4.960629921259843e-05,
1964
+ "loss": 0.0926,
1965
+ "step": 326
1966
+ },
1967
+ {
1968
+ "epoch": 10.22,
1969
+ "learning_rate": 4.94488188976378e-05,
1970
+ "loss": 0.0515,
1971
+ "step": 327
1972
+ },
1973
+ {
1974
+ "epoch": 10.25,
1975
+ "learning_rate": 4.929133858267717e-05,
1976
+ "loss": 0.0744,
1977
+ "step": 328
1978
+ },
1979
+ {
1980
+ "epoch": 10.28,
1981
+ "learning_rate": 4.913385826771654e-05,
1982
+ "loss": 0.0644,
1983
+ "step": 329
1984
+ },
1985
+ {
1986
+ "epoch": 10.31,
1987
+ "learning_rate": 4.897637795275591e-05,
1988
+ "loss": 0.0442,
1989
+ "step": 330
1990
+ },
1991
+ {
1992
+ "epoch": 10.34,
1993
+ "learning_rate": 4.881889763779528e-05,
1994
+ "loss": 0.0665,
1995
+ "step": 331
1996
+ },
1997
+ {
1998
+ "epoch": 10.38,
1999
+ "learning_rate": 4.866141732283465e-05,
2000
+ "loss": 0.0647,
2001
+ "step": 332
2002
+ },
2003
+ {
2004
+ "epoch": 10.41,
2005
+ "learning_rate": 4.8503937007874014e-05,
2006
+ "loss": 0.0419,
2007
+ "step": 333
2008
+ },
2009
+ {
2010
+ "epoch": 10.44,
2011
+ "learning_rate": 4.8346456692913387e-05,
2012
+ "loss": 0.0742,
2013
+ "step": 334
2014
+ },
2015
+ {
2016
+ "epoch": 10.47,
2017
+ "learning_rate": 4.818897637795276e-05,
2018
+ "loss": 0.0668,
2019
+ "step": 335
2020
+ },
2021
+ {
2022
+ "epoch": 10.5,
2023
+ "learning_rate": 4.8031496062992124e-05,
2024
+ "loss": 0.0583,
2025
+ "step": 336
2026
+ },
2027
+ {
2028
+ "epoch": 10.53,
2029
+ "learning_rate": 4.7874015748031496e-05,
2030
+ "loss": 0.0599,
2031
+ "step": 337
2032
+ },
2033
+ {
2034
+ "epoch": 10.56,
2035
+ "learning_rate": 4.771653543307087e-05,
2036
+ "loss": 0.0678,
2037
+ "step": 338
2038
+ },
2039
+ {
2040
+ "epoch": 10.59,
2041
+ "learning_rate": 4.755905511811024e-05,
2042
+ "loss": 0.056,
2043
+ "step": 339
2044
+ },
2045
+ {
2046
+ "epoch": 10.62,
2047
+ "learning_rate": 4.7401574803149606e-05,
2048
+ "loss": 0.0767,
2049
+ "step": 340
2050
+ },
2051
+ {
2052
+ "epoch": 10.66,
2053
+ "learning_rate": 4.724409448818898e-05,
2054
+ "loss": 0.0777,
2055
+ "step": 341
2056
+ },
2057
+ {
2058
+ "epoch": 10.69,
2059
+ "learning_rate": 4.708661417322835e-05,
2060
+ "loss": 0.1102,
2061
+ "step": 342
2062
+ },
2063
+ {
2064
+ "epoch": 10.72,
2065
+ "learning_rate": 4.692913385826772e-05,
2066
+ "loss": 0.0733,
2067
+ "step": 343
2068
+ },
2069
+ {
2070
+ "epoch": 10.75,
2071
+ "learning_rate": 4.677165354330709e-05,
2072
+ "loss": 0.0759,
2073
+ "step": 344
2074
+ },
2075
+ {
2076
+ "epoch": 10.78,
2077
+ "learning_rate": 4.661417322834646e-05,
2078
+ "loss": 0.0686,
2079
+ "step": 345
2080
+ },
2081
+ {
2082
+ "epoch": 10.81,
2083
+ "learning_rate": 4.645669291338583e-05,
2084
+ "loss": 0.0551,
2085
+ "step": 346
2086
+ },
2087
+ {
2088
+ "epoch": 10.84,
2089
+ "learning_rate": 4.6299212598425204e-05,
2090
+ "loss": 0.0944,
2091
+ "step": 347
2092
+ },
2093
+ {
2094
+ "epoch": 10.88,
2095
+ "learning_rate": 4.614173228346457e-05,
2096
+ "loss": 0.1065,
2097
+ "step": 348
2098
+ },
2099
+ {
2100
+ "epoch": 10.91,
2101
+ "learning_rate": 4.5984251968503935e-05,
2102
+ "loss": 0.1034,
2103
+ "step": 349
2104
+ },
2105
+ {
2106
+ "epoch": 10.94,
2107
+ "learning_rate": 4.582677165354331e-05,
2108
+ "loss": 0.0898,
2109
+ "step": 350
2110
+ },
2111
+ {
2112
+ "epoch": 10.97,
2113
+ "learning_rate": 4.566929133858268e-05,
2114
+ "loss": 0.0681,
2115
+ "step": 351
2116
+ },
2117
+ {
2118
+ "epoch": 11.0,
2119
+ "learning_rate": 4.5511811023622045e-05,
2120
+ "loss": 0.1005,
2121
+ "step": 352
2122
+ },
2123
+ {
2124
+ "epoch": 11.03,
2125
+ "learning_rate": 4.535433070866142e-05,
2126
+ "loss": 0.058,
2127
+ "step": 353
2128
+ },
2129
+ {
2130
+ "epoch": 11.06,
2131
+ "learning_rate": 4.519685039370079e-05,
2132
+ "loss": 0.0642,
2133
+ "step": 354
2134
+ },
2135
+ {
2136
+ "epoch": 11.09,
2137
+ "learning_rate": 4.503937007874016e-05,
2138
+ "loss": 0.0875,
2139
+ "step": 355
2140
+ },
2141
+ {
2142
+ "epoch": 11.12,
2143
+ "learning_rate": 4.488188976377953e-05,
2144
+ "loss": 0.0553,
2145
+ "step": 356
2146
+ },
2147
+ {
2148
+ "epoch": 11.16,
2149
+ "learning_rate": 4.47244094488189e-05,
2150
+ "loss": 0.0571,
2151
+ "step": 357
2152
+ },
2153
+ {
2154
+ "epoch": 11.19,
2155
+ "learning_rate": 4.456692913385827e-05,
2156
+ "loss": 0.0684,
2157
+ "step": 358
2158
+ },
2159
+ {
2160
+ "epoch": 11.22,
2161
+ "learning_rate": 4.4409448818897643e-05,
2162
+ "loss": 0.0507,
2163
+ "step": 359
2164
+ },
2165
+ {
2166
+ "epoch": 11.25,
2167
+ "learning_rate": 4.425196850393701e-05,
2168
+ "loss": 0.0977,
2169
+ "step": 360
2170
+ },
2171
+ {
2172
+ "epoch": 11.28,
2173
+ "learning_rate": 4.409448818897638e-05,
2174
+ "loss": 0.0627,
2175
+ "step": 361
2176
+ },
2177
+ {
2178
+ "epoch": 11.31,
2179
+ "learning_rate": 4.393700787401575e-05,
2180
+ "loss": 0.0437,
2181
+ "step": 362
2182
+ },
2183
+ {
2184
+ "epoch": 11.34,
2185
+ "learning_rate": 4.3779527559055125e-05,
2186
+ "loss": 0.0688,
2187
+ "step": 363
2188
+ },
2189
+ {
2190
+ "epoch": 11.38,
2191
+ "learning_rate": 4.362204724409449e-05,
2192
+ "loss": 0.1032,
2193
+ "step": 364
2194
+ },
2195
+ {
2196
+ "epoch": 11.41,
2197
+ "learning_rate": 4.346456692913386e-05,
2198
+ "loss": 0.0472,
2199
+ "step": 365
2200
+ },
2201
+ {
2202
+ "epoch": 11.44,
2203
+ "learning_rate": 4.330708661417323e-05,
2204
+ "loss": 0.0835,
2205
+ "step": 366
2206
+ },
2207
+ {
2208
+ "epoch": 11.47,
2209
+ "learning_rate": 4.31496062992126e-05,
2210
+ "loss": 0.0902,
2211
+ "step": 367
2212
+ },
2213
+ {
2214
+ "epoch": 11.5,
2215
+ "learning_rate": 4.2992125984251966e-05,
2216
+ "loss": 0.1016,
2217
+ "step": 368
2218
+ },
2219
+ {
2220
+ "epoch": 11.53,
2221
+ "learning_rate": 4.283464566929134e-05,
2222
+ "loss": 0.0461,
2223
+ "step": 369
2224
+ },
2225
+ {
2226
+ "epoch": 11.56,
2227
+ "learning_rate": 4.267716535433071e-05,
2228
+ "loss": 0.0594,
2229
+ "step": 370
2230
+ },
2231
+ {
2232
+ "epoch": 11.59,
2233
+ "learning_rate": 4.251968503937008e-05,
2234
+ "loss": 0.054,
2235
+ "step": 371
2236
+ },
2237
+ {
2238
+ "epoch": 11.62,
2239
+ "learning_rate": 4.236220472440945e-05,
2240
+ "loss": 0.0902,
2241
+ "step": 372
2242
+ },
2243
+ {
2244
+ "epoch": 11.66,
2245
+ "learning_rate": 4.220472440944882e-05,
2246
+ "loss": 0.0645,
2247
+ "step": 373
2248
+ },
2249
+ {
2250
+ "epoch": 11.69,
2251
+ "learning_rate": 4.204724409448819e-05,
2252
+ "loss": 0.0417,
2253
+ "step": 374
2254
+ },
2255
+ {
2256
+ "epoch": 11.72,
2257
+ "learning_rate": 4.1889763779527564e-05,
2258
+ "loss": 0.0784,
2259
+ "step": 375
2260
+ },
2261
+ {
2262
+ "epoch": 11.75,
2263
+ "learning_rate": 4.173228346456693e-05,
2264
+ "loss": 0.0825,
2265
+ "step": 376
2266
+ },
2267
+ {
2268
+ "epoch": 11.78,
2269
+ "learning_rate": 4.15748031496063e-05,
2270
+ "loss": 0.1275,
2271
+ "step": 377
2272
+ },
2273
+ {
2274
+ "epoch": 11.81,
2275
+ "learning_rate": 4.1417322834645674e-05,
2276
+ "loss": 0.0802,
2277
+ "step": 378
2278
+ },
2279
+ {
2280
+ "epoch": 11.84,
2281
+ "learning_rate": 4.1259842519685046e-05,
2282
+ "loss": 0.0518,
2283
+ "step": 379
2284
+ },
2285
+ {
2286
+ "epoch": 11.88,
2287
+ "learning_rate": 4.110236220472441e-05,
2288
+ "loss": 0.0704,
2289
+ "step": 380
2290
+ },
2291
+ {
2292
+ "epoch": 11.91,
2293
+ "learning_rate": 4.0944881889763784e-05,
2294
+ "loss": 0.0865,
2295
+ "step": 381
2296
+ },
2297
+ {
2298
+ "epoch": 11.94,
2299
+ "learning_rate": 4.078740157480315e-05,
2300
+ "loss": 0.1193,
2301
+ "step": 382
2302
+ },
2303
+ {
2304
+ "epoch": 11.97,
2305
+ "learning_rate": 4.062992125984252e-05,
2306
+ "loss": 0.0598,
2307
+ "step": 383
2308
+ },
2309
+ {
2310
+ "epoch": 12.0,
2311
+ "learning_rate": 4.047244094488189e-05,
2312
+ "loss": 0.0559,
2313
+ "step": 384
2314
+ },
2315
+ {
2316
+ "epoch": 12.03,
2317
+ "learning_rate": 4.031496062992126e-05,
2318
+ "loss": 0.0717,
2319
+ "step": 385
2320
+ },
2321
+ {
2322
+ "epoch": 12.06,
2323
+ "learning_rate": 4.015748031496063e-05,
2324
+ "loss": 0.0506,
2325
+ "step": 386
2326
+ },
2327
+ {
2328
+ "epoch": 12.09,
2329
+ "learning_rate": 4e-05,
2330
+ "loss": 0.0957,
2331
+ "step": 387
2332
+ },
2333
+ {
2334
+ "epoch": 12.12,
2335
+ "learning_rate": 3.984251968503937e-05,
2336
+ "loss": 0.0483,
2337
+ "step": 388
2338
+ },
2339
+ {
2340
+ "epoch": 12.16,
2341
+ "learning_rate": 3.968503937007874e-05,
2342
+ "loss": 0.04,
2343
+ "step": 389
2344
+ },
2345
+ {
2346
+ "epoch": 12.19,
2347
+ "learning_rate": 3.952755905511811e-05,
2348
+ "loss": 0.081,
2349
+ "step": 390
2350
+ },
2351
+ {
2352
+ "epoch": 12.22,
2353
+ "learning_rate": 3.9370078740157485e-05,
2354
+ "loss": 0.0772,
2355
+ "step": 391
2356
+ },
2357
+ {
2358
+ "epoch": 12.25,
2359
+ "learning_rate": 3.921259842519685e-05,
2360
+ "loss": 0.0854,
2361
+ "step": 392
2362
+ },
2363
+ {
2364
+ "epoch": 12.28,
2365
+ "learning_rate": 3.905511811023622e-05,
2366
+ "loss": 0.0503,
2367
+ "step": 393
2368
+ },
2369
+ {
2370
+ "epoch": 12.31,
2371
+ "learning_rate": 3.8897637795275595e-05,
2372
+ "loss": 0.0645,
2373
+ "step": 394
2374
+ },
2375
+ {
2376
+ "epoch": 12.34,
2377
+ "learning_rate": 3.874015748031497e-05,
2378
+ "loss": 0.0711,
2379
+ "step": 395
2380
+ },
2381
+ {
2382
+ "epoch": 12.38,
2383
+ "learning_rate": 3.858267716535433e-05,
2384
+ "loss": 0.1467,
2385
+ "step": 396
2386
+ },
2387
+ {
2388
+ "epoch": 12.41,
2389
+ "learning_rate": 3.8425196850393705e-05,
2390
+ "loss": 0.1282,
2391
+ "step": 397
2392
+ },
2393
+ {
2394
+ "epoch": 12.44,
2395
+ "learning_rate": 3.826771653543308e-05,
2396
+ "loss": 0.0529,
2397
+ "step": 398
2398
+ },
2399
+ {
2400
+ "epoch": 12.47,
2401
+ "learning_rate": 3.811023622047244e-05,
2402
+ "loss": 0.0708,
2403
+ "step": 399
2404
+ },
2405
+ {
2406
+ "epoch": 12.5,
2407
+ "learning_rate": 3.795275590551181e-05,
2408
+ "loss": 0.0641,
2409
+ "step": 400
2410
+ },
2411
+ {
2412
+ "epoch": 12.53,
2413
+ "learning_rate": 3.779527559055118e-05,
2414
+ "loss": 0.0501,
2415
+ "step": 401
2416
+ },
2417
+ {
2418
+ "epoch": 12.56,
2419
+ "learning_rate": 3.763779527559055e-05,
2420
+ "loss": 0.0597,
2421
+ "step": 402
2422
+ },
2423
+ {
2424
+ "epoch": 12.59,
2425
+ "learning_rate": 3.7480314960629924e-05,
2426
+ "loss": 0.0723,
2427
+ "step": 403
2428
+ },
2429
+ {
2430
+ "epoch": 12.62,
2431
+ "learning_rate": 3.732283464566929e-05,
2432
+ "loss": 0.0837,
2433
+ "step": 404
2434
+ },
2435
+ {
2436
+ "epoch": 12.66,
2437
+ "learning_rate": 3.716535433070866e-05,
2438
+ "loss": 0.0464,
2439
+ "step": 405
2440
+ },
2441
+ {
2442
+ "epoch": 12.69,
2443
+ "learning_rate": 3.7007874015748034e-05,
2444
+ "loss": 0.0895,
2445
+ "step": 406
2446
+ },
2447
+ {
2448
+ "epoch": 12.72,
2449
+ "learning_rate": 3.6850393700787406e-05,
2450
+ "loss": 0.0424,
2451
+ "step": 407
2452
+ },
2453
+ {
2454
+ "epoch": 12.75,
2455
+ "learning_rate": 3.669291338582677e-05,
2456
+ "loss": 0.1492,
2457
+ "step": 408
2458
+ },
2459
+ {
2460
+ "epoch": 12.78,
2461
+ "learning_rate": 3.6535433070866144e-05,
2462
+ "loss": 0.0488,
2463
+ "step": 409
2464
+ },
2465
+ {
2466
+ "epoch": 12.81,
2467
+ "learning_rate": 3.6377952755905516e-05,
2468
+ "loss": 0.0438,
2469
+ "step": 410
2470
+ },
2471
+ {
2472
+ "epoch": 12.84,
2473
+ "learning_rate": 3.622047244094489e-05,
2474
+ "loss": 0.0587,
2475
+ "step": 411
2476
+ },
2477
+ {
2478
+ "epoch": 12.88,
2479
+ "learning_rate": 3.6062992125984253e-05,
2480
+ "loss": 0.0739,
2481
+ "step": 412
2482
+ },
2483
+ {
2484
+ "epoch": 12.91,
2485
+ "learning_rate": 3.5905511811023626e-05,
2486
+ "loss": 0.0785,
2487
+ "step": 413
2488
+ },
2489
+ {
2490
+ "epoch": 12.94,
2491
+ "learning_rate": 3.5748031496063e-05,
2492
+ "loss": 0.0688,
2493
+ "step": 414
2494
+ },
2495
+ {
2496
+ "epoch": 12.97,
2497
+ "learning_rate": 3.559055118110236e-05,
2498
+ "loss": 0.0526,
2499
+ "step": 415
2500
+ },
2501
+ {
2502
+ "epoch": 13.0,
2503
+ "learning_rate": 3.5433070866141735e-05,
2504
+ "loss": 0.0496,
2505
+ "step": 416
2506
+ },
2507
+ {
2508
+ "epoch": 13.03,
2509
+ "learning_rate": 3.52755905511811e-05,
2510
+ "loss": 0.0547,
2511
+ "step": 417
2512
+ },
2513
+ {
2514
+ "epoch": 13.06,
2515
+ "learning_rate": 3.511811023622047e-05,
2516
+ "loss": 0.066,
2517
+ "step": 418
2518
+ },
2519
+ {
2520
+ "epoch": 13.09,
2521
+ "learning_rate": 3.4960629921259845e-05,
2522
+ "loss": 0.0431,
2523
+ "step": 419
2524
+ },
2525
+ {
2526
+ "epoch": 13.12,
2527
+ "learning_rate": 3.480314960629921e-05,
2528
+ "loss": 0.0666,
2529
+ "step": 420
2530
+ },
2531
+ {
2532
+ "epoch": 13.16,
2533
+ "learning_rate": 3.464566929133858e-05,
2534
+ "loss": 0.0427,
2535
+ "step": 421
2536
+ },
2537
+ {
2538
+ "epoch": 13.19,
2539
+ "learning_rate": 3.4488188976377955e-05,
2540
+ "loss": 0.0458,
2541
+ "step": 422
2542
+ },
2543
+ {
2544
+ "epoch": 13.22,
2545
+ "learning_rate": 3.433070866141733e-05,
2546
+ "loss": 0.1239,
2547
+ "step": 423
2548
+ },
2549
+ {
2550
+ "epoch": 13.25,
2551
+ "learning_rate": 3.417322834645669e-05,
2552
+ "loss": 0.0833,
2553
+ "step": 424
2554
+ },
2555
+ {
2556
+ "epoch": 13.28,
2557
+ "learning_rate": 3.4015748031496065e-05,
2558
+ "loss": 0.1358,
2559
+ "step": 425
2560
+ },
2561
+ {
2562
+ "epoch": 13.31,
2563
+ "learning_rate": 3.385826771653544e-05,
2564
+ "loss": 0.0831,
2565
+ "step": 426
2566
+ },
2567
+ {
2568
+ "epoch": 13.34,
2569
+ "learning_rate": 3.370078740157481e-05,
2570
+ "loss": 0.0452,
2571
+ "step": 427
2572
+ },
2573
+ {
2574
+ "epoch": 13.38,
2575
+ "learning_rate": 3.3543307086614174e-05,
2576
+ "loss": 0.0648,
2577
+ "step": 428
2578
+ },
2579
+ {
2580
+ "epoch": 13.41,
2581
+ "learning_rate": 3.3385826771653546e-05,
2582
+ "loss": 0.0526,
2583
+ "step": 429
2584
+ },
2585
+ {
2586
+ "epoch": 13.44,
2587
+ "learning_rate": 3.322834645669292e-05,
2588
+ "loss": 0.0701,
2589
+ "step": 430
2590
+ },
2591
+ {
2592
+ "epoch": 13.47,
2593
+ "learning_rate": 3.3070866141732284e-05,
2594
+ "loss": 0.1528,
2595
+ "step": 431
2596
+ },
2597
+ {
2598
+ "epoch": 13.5,
2599
+ "learning_rate": 3.2913385826771656e-05,
2600
+ "loss": 0.0529,
2601
+ "step": 432
2602
+ },
2603
+ {
2604
+ "epoch": 13.53,
2605
+ "learning_rate": 3.275590551181102e-05,
2606
+ "loss": 0.0458,
2607
+ "step": 433
2608
+ },
2609
+ {
2610
+ "epoch": 13.56,
2611
+ "learning_rate": 3.2598425196850394e-05,
2612
+ "loss": 0.0489,
2613
+ "step": 434
2614
+ },
2615
+ {
2616
+ "epoch": 13.59,
2617
+ "learning_rate": 3.2440944881889766e-05,
2618
+ "loss": 0.0672,
2619
+ "step": 435
2620
+ },
2621
+ {
2622
+ "epoch": 13.62,
2623
+ "learning_rate": 3.228346456692913e-05,
2624
+ "loss": 0.0503,
2625
+ "step": 436
2626
+ },
2627
+ {
2628
+ "epoch": 13.66,
2629
+ "learning_rate": 3.2125984251968504e-05,
2630
+ "loss": 0.0447,
2631
+ "step": 437
2632
+ },
2633
+ {
2634
+ "epoch": 13.69,
2635
+ "learning_rate": 3.1968503937007876e-05,
2636
+ "loss": 0.0524,
2637
+ "step": 438
2638
+ },
2639
+ {
2640
+ "epoch": 13.72,
2641
+ "learning_rate": 3.181102362204725e-05,
2642
+ "loss": 0.1048,
2643
+ "step": 439
2644
+ },
2645
+ {
2646
+ "epoch": 13.75,
2647
+ "learning_rate": 3.165354330708661e-05,
2648
+ "loss": 0.062,
2649
+ "step": 440
2650
+ },
2651
+ {
2652
+ "epoch": 13.78,
2653
+ "learning_rate": 3.1496062992125985e-05,
2654
+ "loss": 0.0785,
2655
+ "step": 441
2656
+ },
2657
+ {
2658
+ "epoch": 13.81,
2659
+ "learning_rate": 3.133858267716536e-05,
2660
+ "loss": 0.0626,
2661
+ "step": 442
2662
+ },
2663
+ {
2664
+ "epoch": 13.84,
2665
+ "learning_rate": 3.118110236220473e-05,
2666
+ "loss": 0.0703,
2667
+ "step": 443
2668
+ },
2669
+ {
2670
+ "epoch": 13.88,
2671
+ "learning_rate": 3.1023622047244095e-05,
2672
+ "loss": 0.0868,
2673
+ "step": 444
2674
+ },
2675
+ {
2676
+ "epoch": 13.91,
2677
+ "learning_rate": 3.086614173228347e-05,
2678
+ "loss": 0.074,
2679
+ "step": 445
2680
+ },
2681
+ {
2682
+ "epoch": 13.94,
2683
+ "learning_rate": 3.070866141732284e-05,
2684
+ "loss": 0.0459,
2685
+ "step": 446
2686
+ },
2687
+ {
2688
+ "epoch": 13.97,
2689
+ "learning_rate": 3.055118110236221e-05,
2690
+ "loss": 0.0457,
2691
+ "step": 447
2692
+ },
2693
+ {
2694
+ "epoch": 14.0,
2695
+ "learning_rate": 3.0393700787401574e-05,
2696
+ "loss": 0.0653,
2697
+ "step": 448
2698
+ },
2699
+ {
2700
+ "epoch": 14.03,
2701
+ "learning_rate": 3.0236220472440946e-05,
2702
+ "loss": 0.0703,
2703
+ "step": 449
2704
+ },
2705
+ {
2706
+ "epoch": 14.06,
2707
+ "learning_rate": 3.0078740157480318e-05,
2708
+ "loss": 0.046,
2709
+ "step": 450
2710
+ },
2711
+ {
2712
+ "epoch": 14.09,
2713
+ "learning_rate": 2.992125984251969e-05,
2714
+ "loss": 0.0864,
2715
+ "step": 451
2716
+ },
2717
+ {
2718
+ "epoch": 14.12,
2719
+ "learning_rate": 2.9763779527559056e-05,
2720
+ "loss": 0.0478,
2721
+ "step": 452
2722
+ },
2723
+ {
2724
+ "epoch": 14.16,
2725
+ "learning_rate": 2.9606299212598428e-05,
2726
+ "loss": 0.0673,
2727
+ "step": 453
2728
+ },
2729
+ {
2730
+ "epoch": 14.19,
2731
+ "learning_rate": 2.9448818897637797e-05,
2732
+ "loss": 0.0683,
2733
+ "step": 454
2734
+ },
2735
+ {
2736
+ "epoch": 14.22,
2737
+ "learning_rate": 2.929133858267717e-05,
2738
+ "loss": 0.0485,
2739
+ "step": 455
2740
+ },
2741
+ {
2742
+ "epoch": 14.25,
2743
+ "learning_rate": 2.9133858267716534e-05,
2744
+ "loss": 0.0434,
2745
+ "step": 456
2746
+ },
2747
+ {
2748
+ "epoch": 14.28,
2749
+ "learning_rate": 2.8976377952755906e-05,
2750
+ "loss": 0.0426,
2751
+ "step": 457
2752
+ },
2753
+ {
2754
+ "epoch": 14.31,
2755
+ "learning_rate": 2.881889763779528e-05,
2756
+ "loss": 0.0403,
2757
+ "step": 458
2758
+ },
2759
+ {
2760
+ "epoch": 14.34,
2761
+ "learning_rate": 2.866141732283465e-05,
2762
+ "loss": 0.0476,
2763
+ "step": 459
2764
+ },
2765
+ {
2766
+ "epoch": 14.38,
2767
+ "learning_rate": 2.8503937007874016e-05,
2768
+ "loss": 0.0504,
2769
+ "step": 460
2770
+ },
2771
+ {
2772
+ "epoch": 14.41,
2773
+ "learning_rate": 2.8346456692913388e-05,
2774
+ "loss": 0.0691,
2775
+ "step": 461
2776
+ },
2777
+ {
2778
+ "epoch": 14.44,
2779
+ "learning_rate": 2.8188976377952757e-05,
2780
+ "loss": 0.1004,
2781
+ "step": 462
2782
+ },
2783
+ {
2784
+ "epoch": 14.47,
2785
+ "learning_rate": 2.803149606299213e-05,
2786
+ "loss": 0.0428,
2787
+ "step": 463
2788
+ },
2789
+ {
2790
+ "epoch": 14.5,
2791
+ "learning_rate": 2.7874015748031495e-05,
2792
+ "loss": 0.1126,
2793
+ "step": 464
2794
+ },
2795
+ {
2796
+ "epoch": 14.53,
2797
+ "learning_rate": 2.7716535433070867e-05,
2798
+ "loss": 0.0415,
2799
+ "step": 465
2800
+ },
2801
+ {
2802
+ "epoch": 14.56,
2803
+ "learning_rate": 2.755905511811024e-05,
2804
+ "loss": 0.0581,
2805
+ "step": 466
2806
+ },
2807
+ {
2808
+ "epoch": 14.59,
2809
+ "learning_rate": 2.740157480314961e-05,
2810
+ "loss": 0.0651,
2811
+ "step": 467
2812
+ },
2813
+ {
2814
+ "epoch": 14.62,
2815
+ "learning_rate": 2.7244094488188977e-05,
2816
+ "loss": 0.0606,
2817
+ "step": 468
2818
+ },
2819
+ {
2820
+ "epoch": 14.66,
2821
+ "learning_rate": 2.708661417322835e-05,
2822
+ "loss": 0.0572,
2823
+ "step": 469
2824
+ },
2825
+ {
2826
+ "epoch": 14.69,
2827
+ "learning_rate": 2.6929133858267717e-05,
2828
+ "loss": 0.0617,
2829
+ "step": 470
2830
+ },
2831
+ {
2832
+ "epoch": 14.72,
2833
+ "learning_rate": 2.677165354330709e-05,
2834
+ "loss": 0.0493,
2835
+ "step": 471
2836
+ },
2837
+ {
2838
+ "epoch": 14.75,
2839
+ "learning_rate": 2.6614173228346455e-05,
2840
+ "loss": 0.0877,
2841
+ "step": 472
2842
+ },
2843
+ {
2844
+ "epoch": 14.78,
2845
+ "learning_rate": 2.6456692913385827e-05,
2846
+ "loss": 0.0506,
2847
+ "step": 473
2848
+ },
2849
+ {
2850
+ "epoch": 14.81,
2851
+ "learning_rate": 2.62992125984252e-05,
2852
+ "loss": 0.081,
2853
+ "step": 474
2854
+ },
2855
+ {
2856
+ "epoch": 14.84,
2857
+ "learning_rate": 2.614173228346457e-05,
2858
+ "loss": 0.0847,
2859
+ "step": 475
2860
+ },
2861
+ {
2862
+ "epoch": 14.88,
2863
+ "learning_rate": 2.5984251968503937e-05,
2864
+ "loss": 0.1073,
2865
+ "step": 476
2866
+ },
2867
+ {
2868
+ "epoch": 14.91,
2869
+ "learning_rate": 2.582677165354331e-05,
2870
+ "loss": 0.05,
2871
+ "step": 477
2872
+ },
2873
+ {
2874
+ "epoch": 14.94,
2875
+ "learning_rate": 2.5669291338582678e-05,
2876
+ "loss": 0.1165,
2877
+ "step": 478
2878
+ },
2879
+ {
2880
+ "epoch": 14.97,
2881
+ "learning_rate": 2.551181102362205e-05,
2882
+ "loss": 0.0653,
2883
+ "step": 479
2884
+ },
2885
+ {
2886
+ "epoch": 15.0,
2887
+ "learning_rate": 2.5354330708661416e-05,
2888
+ "loss": 0.0576,
2889
+ "step": 480
2890
+ },
2891
+ {
2892
+ "epoch": 15.03,
2893
+ "learning_rate": 2.5196850393700788e-05,
2894
+ "loss": 0.0384,
2895
+ "step": 481
2896
+ },
2897
+ {
2898
+ "epoch": 15.06,
2899
+ "learning_rate": 2.503937007874016e-05,
2900
+ "loss": 0.0547,
2901
+ "step": 482
2902
+ },
2903
+ {
2904
+ "epoch": 15.09,
2905
+ "learning_rate": 2.488188976377953e-05,
2906
+ "loss": 0.0667,
2907
+ "step": 483
2908
+ },
2909
+ {
2910
+ "epoch": 15.12,
2911
+ "learning_rate": 2.47244094488189e-05,
2912
+ "loss": 0.0549,
2913
+ "step": 484
2914
+ },
2915
+ {
2916
+ "epoch": 15.16,
2917
+ "learning_rate": 2.456692913385827e-05,
2918
+ "loss": 0.0548,
2919
+ "step": 485
2920
+ },
2921
+ {
2922
+ "epoch": 15.19,
2923
+ "learning_rate": 2.440944881889764e-05,
2924
+ "loss": 0.0579,
2925
+ "step": 486
2926
+ },
2927
+ {
2928
+ "epoch": 15.22,
2929
+ "learning_rate": 2.4251968503937007e-05,
2930
+ "loss": 0.0945,
2931
+ "step": 487
2932
+ },
2933
+ {
2934
+ "epoch": 15.25,
2935
+ "learning_rate": 2.409448818897638e-05,
2936
+ "loss": 0.0699,
2937
+ "step": 488
2938
+ },
2939
+ {
2940
+ "epoch": 15.28,
2941
+ "learning_rate": 2.3937007874015748e-05,
2942
+ "loss": 0.0478,
2943
+ "step": 489
2944
+ },
2945
+ {
2946
+ "epoch": 15.31,
2947
+ "learning_rate": 2.377952755905512e-05,
2948
+ "loss": 0.0598,
2949
+ "step": 490
2950
+ },
2951
+ {
2952
+ "epoch": 15.34,
2953
+ "learning_rate": 2.362204724409449e-05,
2954
+ "loss": 0.0868,
2955
+ "step": 491
2956
+ },
2957
+ {
2958
+ "epoch": 15.38,
2959
+ "learning_rate": 2.346456692913386e-05,
2960
+ "loss": 0.0581,
2961
+ "step": 492
2962
+ },
2963
+ {
2964
+ "epoch": 15.41,
2965
+ "learning_rate": 2.330708661417323e-05,
2966
+ "loss": 0.0458,
2967
+ "step": 493
2968
+ },
2969
+ {
2970
+ "epoch": 15.44,
2971
+ "learning_rate": 2.3149606299212602e-05,
2972
+ "loss": 0.0681,
2973
+ "step": 494
2974
+ },
2975
+ {
2976
+ "epoch": 15.47,
2977
+ "learning_rate": 2.2992125984251968e-05,
2978
+ "loss": 0.058,
2979
+ "step": 495
2980
+ },
2981
+ {
2982
+ "epoch": 15.5,
2983
+ "learning_rate": 2.283464566929134e-05,
2984
+ "loss": 0.0413,
2985
+ "step": 496
2986
+ },
2987
+ {
2988
+ "epoch": 15.53,
2989
+ "learning_rate": 2.267716535433071e-05,
2990
+ "loss": 0.0797,
2991
+ "step": 497
2992
+ },
2993
+ {
2994
+ "epoch": 15.56,
2995
+ "learning_rate": 2.251968503937008e-05,
2996
+ "loss": 0.046,
2997
+ "step": 498
2998
+ },
2999
+ {
3000
+ "epoch": 15.59,
3001
+ "learning_rate": 2.236220472440945e-05,
3002
+ "loss": 0.065,
3003
+ "step": 499
3004
+ },
3005
+ {
3006
+ "epoch": 15.62,
3007
+ "learning_rate": 2.2204724409448822e-05,
3008
+ "loss": 0.0744,
3009
+ "step": 500
3010
+ },
3011
+ {
3012
+ "epoch": 15.66,
3013
+ "learning_rate": 2.204724409448819e-05,
3014
+ "loss": 0.072,
3015
+ "step": 501
3016
+ },
3017
+ {
3018
+ "epoch": 15.69,
3019
+ "learning_rate": 2.1889763779527563e-05,
3020
+ "loss": 0.0556,
3021
+ "step": 502
3022
+ },
3023
+ {
3024
+ "epoch": 15.72,
3025
+ "learning_rate": 2.173228346456693e-05,
3026
+ "loss": 0.0534,
3027
+ "step": 503
3028
+ },
3029
+ {
3030
+ "epoch": 15.75,
3031
+ "learning_rate": 2.15748031496063e-05,
3032
+ "loss": 0.0343,
3033
+ "step": 504
3034
+ },
3035
+ {
3036
+ "epoch": 15.78,
3037
+ "learning_rate": 2.141732283464567e-05,
3038
+ "loss": 0.0635,
3039
+ "step": 505
3040
+ },
3041
+ {
3042
+ "epoch": 15.81,
3043
+ "learning_rate": 2.125984251968504e-05,
3044
+ "loss": 0.0859,
3045
+ "step": 506
3046
+ },
3047
+ {
3048
+ "epoch": 15.84,
3049
+ "learning_rate": 2.110236220472441e-05,
3050
+ "loss": 0.0642,
3051
+ "step": 507
3052
+ },
3053
+ {
3054
+ "epoch": 15.88,
3055
+ "learning_rate": 2.0944881889763782e-05,
3056
+ "loss": 0.0583,
3057
+ "step": 508
3058
+ },
3059
+ {
3060
+ "epoch": 15.91,
3061
+ "learning_rate": 2.078740157480315e-05,
3062
+ "loss": 0.0546,
3063
+ "step": 509
3064
+ },
3065
+ {
3066
+ "epoch": 15.94,
3067
+ "learning_rate": 2.0629921259842523e-05,
3068
+ "loss": 0.057,
3069
+ "step": 510
3070
+ },
3071
+ {
3072
+ "epoch": 15.97,
3073
+ "learning_rate": 2.0472440944881892e-05,
3074
+ "loss": 0.0907,
3075
+ "step": 511
3076
+ },
3077
+ {
3078
+ "epoch": 16.0,
3079
+ "learning_rate": 2.031496062992126e-05,
3080
+ "loss": 0.0563,
3081
+ "step": 512
3082
+ },
3083
+ {
3084
+ "epoch": 16.03,
3085
+ "learning_rate": 2.015748031496063e-05,
3086
+ "loss": 0.0561,
3087
+ "step": 513
3088
+ },
3089
+ {
3090
+ "epoch": 16.06,
3091
+ "learning_rate": 2e-05,
3092
+ "loss": 0.0479,
3093
+ "step": 514
3094
+ },
3095
+ {
3096
+ "epoch": 16.09,
3097
+ "learning_rate": 1.984251968503937e-05,
3098
+ "loss": 0.0645,
3099
+ "step": 515
3100
+ },
3101
+ {
3102
+ "epoch": 16.12,
3103
+ "learning_rate": 1.9685039370078743e-05,
3104
+ "loss": 0.0662,
3105
+ "step": 516
3106
+ },
3107
+ {
3108
+ "epoch": 16.16,
3109
+ "learning_rate": 1.952755905511811e-05,
3110
+ "loss": 0.0645,
3111
+ "step": 517
3112
+ },
3113
+ {
3114
+ "epoch": 16.19,
3115
+ "learning_rate": 1.9370078740157484e-05,
3116
+ "loss": 0.0394,
3117
+ "step": 518
3118
+ },
3119
+ {
3120
+ "epoch": 16.22,
3121
+ "learning_rate": 1.9212598425196852e-05,
3122
+ "loss": 0.0565,
3123
+ "step": 519
3124
+ },
3125
+ {
3126
+ "epoch": 16.25,
3127
+ "learning_rate": 1.905511811023622e-05,
3128
+ "loss": 0.0481,
3129
+ "step": 520
3130
+ },
3131
+ {
3132
+ "epoch": 16.28,
3133
+ "learning_rate": 1.889763779527559e-05,
3134
+ "loss": 0.0631,
3135
+ "step": 521
3136
+ },
3137
+ {
3138
+ "epoch": 16.31,
3139
+ "learning_rate": 1.8740157480314962e-05,
3140
+ "loss": 0.0654,
3141
+ "step": 522
3142
+ },
3143
+ {
3144
+ "epoch": 16.34,
3145
+ "learning_rate": 1.858267716535433e-05,
3146
+ "loss": 0.0496,
3147
+ "step": 523
3148
+ },
3149
+ {
3150
+ "epoch": 16.38,
3151
+ "learning_rate": 1.8425196850393703e-05,
3152
+ "loss": 0.0507,
3153
+ "step": 524
3154
+ },
3155
+ {
3156
+ "epoch": 16.41,
3157
+ "learning_rate": 1.8267716535433072e-05,
3158
+ "loss": 0.0363,
3159
+ "step": 525
3160
+ },
3161
+ {
3162
+ "epoch": 16.44,
3163
+ "learning_rate": 1.8110236220472444e-05,
3164
+ "loss": 0.0537,
3165
+ "step": 526
3166
+ },
3167
+ {
3168
+ "epoch": 16.47,
3169
+ "learning_rate": 1.7952755905511813e-05,
3170
+ "loss": 0.037,
3171
+ "step": 527
3172
+ },
3173
+ {
3174
+ "epoch": 16.5,
3175
+ "learning_rate": 1.779527559055118e-05,
3176
+ "loss": 0.059,
3177
+ "step": 528
3178
+ },
3179
+ {
3180
+ "epoch": 16.53,
3181
+ "learning_rate": 1.763779527559055e-05,
3182
+ "loss": 0.0739,
3183
+ "step": 529
3184
+ },
3185
+ {
3186
+ "epoch": 16.56,
3187
+ "learning_rate": 1.7480314960629923e-05,
3188
+ "loss": 0.0444,
3189
+ "step": 530
3190
+ },
3191
+ {
3192
+ "epoch": 16.59,
3193
+ "learning_rate": 1.732283464566929e-05,
3194
+ "loss": 0.0995,
3195
+ "step": 531
3196
+ },
3197
+ {
3198
+ "epoch": 16.62,
3199
+ "learning_rate": 1.7165354330708663e-05,
3200
+ "loss": 0.0488,
3201
+ "step": 532
3202
+ },
3203
+ {
3204
+ "epoch": 16.66,
3205
+ "learning_rate": 1.7007874015748032e-05,
3206
+ "loss": 0.0586,
3207
+ "step": 533
3208
+ },
3209
+ {
3210
+ "epoch": 16.69,
3211
+ "learning_rate": 1.6850393700787404e-05,
3212
+ "loss": 0.096,
3213
+ "step": 534
3214
+ },
3215
+ {
3216
+ "epoch": 16.72,
3217
+ "learning_rate": 1.6692913385826773e-05,
3218
+ "loss": 0.0592,
3219
+ "step": 535
3220
+ },
3221
+ {
3222
+ "epoch": 16.75,
3223
+ "learning_rate": 1.6535433070866142e-05,
3224
+ "loss": 0.0625,
3225
+ "step": 536
3226
+ },
3227
+ {
3228
+ "epoch": 16.78,
3229
+ "learning_rate": 1.637795275590551e-05,
3230
+ "loss": 0.0662,
3231
+ "step": 537
3232
+ },
3233
+ {
3234
+ "epoch": 16.81,
3235
+ "learning_rate": 1.6220472440944883e-05,
3236
+ "loss": 0.0498,
3237
+ "step": 538
3238
+ },
3239
+ {
3240
+ "epoch": 16.84,
3241
+ "learning_rate": 1.6062992125984252e-05,
3242
+ "loss": 0.0669,
3243
+ "step": 539
3244
+ },
3245
+ {
3246
+ "epoch": 16.88,
3247
+ "learning_rate": 1.5905511811023624e-05,
3248
+ "loss": 0.0774,
3249
+ "step": 540
3250
+ },
3251
+ {
3252
+ "epoch": 16.91,
3253
+ "learning_rate": 1.5748031496062993e-05,
3254
+ "loss": 0.0658,
3255
+ "step": 541
3256
+ },
3257
+ {
3258
+ "epoch": 16.94,
3259
+ "learning_rate": 1.5590551181102365e-05,
3260
+ "loss": 0.0419,
3261
+ "step": 542
3262
+ },
3263
+ {
3264
+ "epoch": 16.97,
3265
+ "learning_rate": 1.5433070866141734e-05,
3266
+ "loss": 0.0635,
3267
+ "step": 543
3268
+ },
3269
+ {
3270
+ "epoch": 17.0,
3271
+ "learning_rate": 1.5275590551181106e-05,
3272
+ "loss": 0.0827,
3273
+ "step": 544
3274
+ },
3275
+ {
3276
+ "epoch": 17.03,
3277
+ "learning_rate": 1.5118110236220473e-05,
3278
+ "loss": 0.0578,
3279
+ "step": 545
3280
+ },
3281
+ {
3282
+ "epoch": 17.06,
3283
+ "learning_rate": 1.4960629921259845e-05,
3284
+ "loss": 0.056,
3285
+ "step": 546
3286
+ },
3287
+ {
3288
+ "epoch": 17.09,
3289
+ "learning_rate": 1.4803149606299214e-05,
3290
+ "loss": 0.0444,
3291
+ "step": 547
3292
+ },
3293
+ {
3294
+ "epoch": 17.12,
3295
+ "learning_rate": 1.4645669291338584e-05,
3296
+ "loss": 0.0463,
3297
+ "step": 548
3298
+ },
3299
+ {
3300
+ "epoch": 17.16,
3301
+ "learning_rate": 1.4488188976377953e-05,
3302
+ "loss": 0.0872,
3303
+ "step": 549
3304
+ },
3305
+ {
3306
+ "epoch": 17.19,
3307
+ "learning_rate": 1.4330708661417325e-05,
3308
+ "loss": 0.03,
3309
+ "step": 550
3310
+ },
3311
+ {
3312
+ "epoch": 17.22,
3313
+ "learning_rate": 1.4173228346456694e-05,
3314
+ "loss": 0.05,
3315
+ "step": 551
3316
+ },
3317
+ {
3318
+ "epoch": 17.25,
3319
+ "learning_rate": 1.4015748031496065e-05,
3320
+ "loss": 0.0465,
3321
+ "step": 552
3322
+ },
3323
+ {
3324
+ "epoch": 17.28,
3325
+ "learning_rate": 1.3858267716535433e-05,
3326
+ "loss": 0.0801,
3327
+ "step": 553
3328
+ },
3329
+ {
3330
+ "epoch": 17.31,
3331
+ "learning_rate": 1.3700787401574806e-05,
3332
+ "loss": 0.0569,
3333
+ "step": 554
3334
+ },
3335
+ {
3336
+ "epoch": 17.34,
3337
+ "learning_rate": 1.3543307086614174e-05,
3338
+ "loss": 0.0571,
3339
+ "step": 555
3340
+ },
3341
+ {
3342
+ "epoch": 17.38,
3343
+ "learning_rate": 1.3385826771653545e-05,
3344
+ "loss": 0.0428,
3345
+ "step": 556
3346
+ },
3347
+ {
3348
+ "epoch": 17.41,
3349
+ "learning_rate": 1.3228346456692914e-05,
3350
+ "loss": 0.0454,
3351
+ "step": 557
3352
+ },
3353
+ {
3354
+ "epoch": 17.44,
3355
+ "learning_rate": 1.3070866141732286e-05,
3356
+ "loss": 0.0582,
3357
+ "step": 558
3358
+ },
3359
+ {
3360
+ "epoch": 17.47,
3361
+ "learning_rate": 1.2913385826771655e-05,
3362
+ "loss": 0.0775,
3363
+ "step": 559
3364
+ },
3365
+ {
3366
+ "epoch": 17.5,
3367
+ "learning_rate": 1.2755905511811025e-05,
3368
+ "loss": 0.0594,
3369
+ "step": 560
3370
+ },
3371
+ {
3372
+ "epoch": 17.53,
3373
+ "learning_rate": 1.2598425196850394e-05,
3374
+ "loss": 0.0387,
3375
+ "step": 561
3376
+ },
3377
+ {
3378
+ "epoch": 17.56,
3379
+ "learning_rate": 1.2440944881889764e-05,
3380
+ "loss": 0.074,
3381
+ "step": 562
3382
+ },
3383
+ {
3384
+ "epoch": 17.59,
3385
+ "learning_rate": 1.2283464566929135e-05,
3386
+ "loss": 0.06,
3387
+ "step": 563
3388
+ },
3389
+ {
3390
+ "epoch": 17.62,
3391
+ "learning_rate": 1.2125984251968504e-05,
3392
+ "loss": 0.0414,
3393
+ "step": 564
3394
+ },
3395
+ {
3396
+ "epoch": 17.66,
3397
+ "learning_rate": 1.1968503937007874e-05,
3398
+ "loss": 0.0665,
3399
+ "step": 565
3400
+ },
3401
+ {
3402
+ "epoch": 17.69,
3403
+ "learning_rate": 1.1811023622047245e-05,
3404
+ "loss": 0.0471,
3405
+ "step": 566
3406
+ },
3407
+ {
3408
+ "epoch": 17.72,
3409
+ "learning_rate": 1.1653543307086615e-05,
3410
+ "loss": 0.0648,
3411
+ "step": 567
3412
+ },
3413
+ {
3414
+ "epoch": 17.75,
3415
+ "learning_rate": 1.1496062992125984e-05,
3416
+ "loss": 0.1013,
3417
+ "step": 568
3418
+ },
3419
+ {
3420
+ "epoch": 17.78,
3421
+ "learning_rate": 1.1338582677165354e-05,
3422
+ "loss": 0.0966,
3423
+ "step": 569
3424
+ },
3425
+ {
3426
+ "epoch": 17.81,
3427
+ "learning_rate": 1.1181102362204725e-05,
3428
+ "loss": 0.0503,
3429
+ "step": 570
3430
+ },
3431
+ {
3432
+ "epoch": 17.84,
3433
+ "learning_rate": 1.1023622047244095e-05,
3434
+ "loss": 0.0754,
3435
+ "step": 571
3436
+ },
3437
+ {
3438
+ "epoch": 17.88,
3439
+ "learning_rate": 1.0866141732283466e-05,
3440
+ "loss": 0.0524,
3441
+ "step": 572
3442
+ },
3443
+ {
3444
+ "epoch": 17.91,
3445
+ "learning_rate": 1.0708661417322835e-05,
3446
+ "loss": 0.0478,
3447
+ "step": 573
3448
+ },
3449
+ {
3450
+ "epoch": 17.94,
3451
+ "learning_rate": 1.0551181102362205e-05,
3452
+ "loss": 0.065,
3453
+ "step": 574
3454
+ },
3455
+ {
3456
+ "epoch": 17.97,
3457
+ "learning_rate": 1.0393700787401575e-05,
3458
+ "loss": 0.0706,
3459
+ "step": 575
3460
+ },
3461
+ {
3462
+ "epoch": 18.0,
3463
+ "learning_rate": 1.0236220472440946e-05,
3464
+ "loss": 0.0774,
3465
+ "step": 576
3466
+ },
3467
+ {
3468
+ "epoch": 18.03,
3469
+ "learning_rate": 1.0078740157480315e-05,
3470
+ "loss": 0.0404,
3471
+ "step": 577
3472
+ },
3473
+ {
3474
+ "epoch": 18.06,
3475
+ "learning_rate": 9.921259842519685e-06,
3476
+ "loss": 0.0576,
3477
+ "step": 578
3478
+ },
3479
+ {
3480
+ "epoch": 18.09,
3481
+ "learning_rate": 9.763779527559056e-06,
3482
+ "loss": 0.0538,
3483
+ "step": 579
3484
+ },
3485
+ {
3486
+ "epoch": 18.12,
3487
+ "learning_rate": 9.606299212598426e-06,
3488
+ "loss": 0.0375,
3489
+ "step": 580
3490
+ },
3491
+ {
3492
+ "epoch": 18.16,
3493
+ "learning_rate": 9.448818897637795e-06,
3494
+ "loss": 0.0598,
3495
+ "step": 581
3496
+ },
3497
+ {
3498
+ "epoch": 18.19,
3499
+ "learning_rate": 9.291338582677165e-06,
3500
+ "loss": 0.0499,
3501
+ "step": 582
3502
+ },
3503
+ {
3504
+ "epoch": 18.22,
3505
+ "learning_rate": 9.133858267716536e-06,
3506
+ "loss": 0.089,
3507
+ "step": 583
3508
+ },
3509
+ {
3510
+ "epoch": 18.25,
3511
+ "learning_rate": 8.976377952755906e-06,
3512
+ "loss": 0.0617,
3513
+ "step": 584
3514
+ },
3515
+ {
3516
+ "epoch": 18.28,
3517
+ "learning_rate": 8.818897637795275e-06,
3518
+ "loss": 0.0477,
3519
+ "step": 585
3520
+ },
3521
+ {
3522
+ "epoch": 18.31,
3523
+ "learning_rate": 8.661417322834646e-06,
3524
+ "loss": 0.1235,
3525
+ "step": 586
3526
+ },
3527
+ {
3528
+ "epoch": 18.34,
3529
+ "learning_rate": 8.503937007874016e-06,
3530
+ "loss": 0.0346,
3531
+ "step": 587
3532
+ },
3533
+ {
3534
+ "epoch": 18.38,
3535
+ "learning_rate": 8.346456692913387e-06,
3536
+ "loss": 0.069,
3537
+ "step": 588
3538
+ },
3539
+ {
3540
+ "epoch": 18.41,
3541
+ "learning_rate": 8.188976377952755e-06,
3542
+ "loss": 0.0471,
3543
+ "step": 589
3544
+ },
3545
+ {
3546
+ "epoch": 18.44,
3547
+ "learning_rate": 8.031496062992126e-06,
3548
+ "loss": 0.0412,
3549
+ "step": 590
3550
+ },
3551
+ {
3552
+ "epoch": 18.47,
3553
+ "learning_rate": 7.874015748031496e-06,
3554
+ "loss": 0.1199,
3555
+ "step": 591
3556
+ },
3557
+ {
3558
+ "epoch": 18.5,
3559
+ "learning_rate": 7.716535433070867e-06,
3560
+ "loss": 0.0524,
3561
+ "step": 592
3562
+ },
3563
+ {
3564
+ "epoch": 18.53,
3565
+ "learning_rate": 7.5590551181102365e-06,
3566
+ "loss": 0.0411,
3567
+ "step": 593
3568
+ },
3569
+ {
3570
+ "epoch": 18.56,
3571
+ "learning_rate": 7.401574803149607e-06,
3572
+ "loss": 0.0552,
3573
+ "step": 594
3574
+ },
3575
+ {
3576
+ "epoch": 18.59,
3577
+ "learning_rate": 7.244094488188977e-06,
3578
+ "loss": 0.0759,
3579
+ "step": 595
3580
+ },
3581
+ {
3582
+ "epoch": 18.62,
3583
+ "learning_rate": 7.086614173228347e-06,
3584
+ "loss": 0.0627,
3585
+ "step": 596
3586
+ },
3587
+ {
3588
+ "epoch": 18.66,
3589
+ "learning_rate": 6.929133858267717e-06,
3590
+ "loss": 0.0487,
3591
+ "step": 597
3592
+ },
3593
+ {
3594
+ "epoch": 18.69,
3595
+ "learning_rate": 6.771653543307087e-06,
3596
+ "loss": 0.0669,
3597
+ "step": 598
3598
+ },
3599
+ {
3600
+ "epoch": 18.72,
3601
+ "learning_rate": 6.614173228346457e-06,
3602
+ "loss": 0.0599,
3603
+ "step": 599
3604
+ },
3605
+ {
3606
+ "epoch": 18.75,
3607
+ "learning_rate": 6.456692913385827e-06,
3608
+ "loss": 0.0631,
3609
+ "step": 600
3610
+ },
3611
+ {
3612
+ "epoch": 18.78,
3613
+ "learning_rate": 6.299212598425197e-06,
3614
+ "loss": 0.0605,
3615
+ "step": 601
3616
+ },
3617
+ {
3618
+ "epoch": 18.81,
3619
+ "learning_rate": 6.141732283464567e-06,
3620
+ "loss": 0.1267,
3621
+ "step": 602
3622
+ },
3623
+ {
3624
+ "epoch": 18.84,
3625
+ "learning_rate": 5.984251968503937e-06,
3626
+ "loss": 0.0362,
3627
+ "step": 603
3628
+ },
3629
+ {
3630
+ "epoch": 18.88,
3631
+ "learning_rate": 5.8267716535433075e-06,
3632
+ "loss": 0.0673,
3633
+ "step": 604
3634
+ },
3635
+ {
3636
+ "epoch": 18.91,
3637
+ "learning_rate": 5.669291338582677e-06,
3638
+ "loss": 0.0478,
3639
+ "step": 605
3640
+ },
3641
+ {
3642
+ "epoch": 18.94,
3643
+ "learning_rate": 5.511811023622048e-06,
3644
+ "loss": 0.0685,
3645
+ "step": 606
3646
+ },
3647
+ {
3648
+ "epoch": 18.97,
3649
+ "learning_rate": 5.354330708661417e-06,
3650
+ "loss": 0.0521,
3651
+ "step": 607
3652
+ },
3653
+ {
3654
+ "epoch": 19.0,
3655
+ "learning_rate": 5.196850393700788e-06,
3656
+ "loss": 0.058,
3657
+ "step": 608
3658
+ },
3659
+ {
3660
+ "epoch": 19.03,
3661
+ "learning_rate": 5.039370078740157e-06,
3662
+ "loss": 0.061,
3663
+ "step": 609
3664
+ },
3665
+ {
3666
+ "epoch": 19.06,
3667
+ "learning_rate": 4.881889763779528e-06,
3668
+ "loss": 0.1133,
3669
+ "step": 610
3670
+ },
3671
+ {
3672
+ "epoch": 19.09,
3673
+ "learning_rate": 4.7244094488188975e-06,
3674
+ "loss": 0.053,
3675
+ "step": 611
3676
+ },
3677
+ {
3678
+ "epoch": 19.12,
3679
+ "learning_rate": 4.566929133858268e-06,
3680
+ "loss": 0.0472,
3681
+ "step": 612
3682
+ },
3683
+ {
3684
+ "epoch": 19.16,
3685
+ "learning_rate": 4.409448818897638e-06,
3686
+ "loss": 0.0516,
3687
+ "step": 613
3688
+ },
3689
+ {
3690
+ "epoch": 19.19,
3691
+ "learning_rate": 4.251968503937008e-06,
3692
+ "loss": 0.0544,
3693
+ "step": 614
3694
+ },
3695
+ {
3696
+ "epoch": 19.22,
3697
+ "learning_rate": 4.094488188976378e-06,
3698
+ "loss": 0.0507,
3699
+ "step": 615
3700
+ },
3701
+ {
3702
+ "epoch": 19.25,
3703
+ "learning_rate": 3.937007874015748e-06,
3704
+ "loss": 0.045,
3705
+ "step": 616
3706
+ },
3707
+ {
3708
+ "epoch": 19.28,
3709
+ "learning_rate": 3.7795275590551182e-06,
3710
+ "loss": 0.0519,
3711
+ "step": 617
3712
+ },
3713
+ {
3714
+ "epoch": 19.31,
3715
+ "learning_rate": 3.6220472440944883e-06,
3716
+ "loss": 0.0701,
3717
+ "step": 618
3718
+ },
3719
+ {
3720
+ "epoch": 19.34,
3721
+ "learning_rate": 3.4645669291338583e-06,
3722
+ "loss": 0.0431,
3723
+ "step": 619
3724
+ },
3725
+ {
3726
+ "epoch": 19.38,
3727
+ "learning_rate": 3.3070866141732284e-06,
3728
+ "loss": 0.0552,
3729
+ "step": 620
3730
+ },
3731
+ {
3732
+ "epoch": 19.41,
3733
+ "learning_rate": 3.1496062992125985e-06,
3734
+ "loss": 0.0432,
3735
+ "step": 621
3736
+ },
3737
+ {
3738
+ "epoch": 19.44,
3739
+ "learning_rate": 2.9921259842519685e-06,
3740
+ "loss": 0.0522,
3741
+ "step": 622
3742
+ },
3743
+ {
3744
+ "epoch": 19.47,
3745
+ "learning_rate": 2.8346456692913386e-06,
3746
+ "loss": 0.0875,
3747
+ "step": 623
3748
+ },
3749
+ {
3750
+ "epoch": 19.5,
3751
+ "learning_rate": 2.6771653543307086e-06,
3752
+ "loss": 0.05,
3753
+ "step": 624
3754
+ },
3755
+ {
3756
+ "epoch": 19.53,
3757
+ "learning_rate": 2.5196850393700787e-06,
3758
+ "loss": 0.0519,
3759
+ "step": 625
3760
+ },
3761
+ {
3762
+ "epoch": 19.56,
3763
+ "learning_rate": 2.3622047244094487e-06,
3764
+ "loss": 0.0494,
3765
+ "step": 626
3766
+ },
3767
+ {
3768
+ "epoch": 19.59,
3769
+ "learning_rate": 2.204724409448819e-06,
3770
+ "loss": 0.0502,
3771
+ "step": 627
3772
+ },
3773
+ {
3774
+ "epoch": 19.62,
3775
+ "learning_rate": 2.047244094488189e-06,
3776
+ "loss": 0.0938,
3777
+ "step": 628
3778
+ },
3779
+ {
3780
+ "epoch": 19.66,
3781
+ "learning_rate": 1.8897637795275591e-06,
3782
+ "loss": 0.0515,
3783
+ "step": 629
3784
+ },
3785
+ {
3786
+ "epoch": 19.69,
3787
+ "learning_rate": 1.7322834645669292e-06,
3788
+ "loss": 0.0829,
3789
+ "step": 630
3790
+ },
3791
+ {
3792
+ "epoch": 19.72,
3793
+ "learning_rate": 1.5748031496062992e-06,
3794
+ "loss": 0.0483,
3795
+ "step": 631
3796
+ },
3797
+ {
3798
+ "epoch": 19.75,
3799
+ "learning_rate": 1.4173228346456693e-06,
3800
+ "loss": 0.0919,
3801
+ "step": 632
3802
+ },
3803
+ {
3804
+ "epoch": 19.78,
3805
+ "learning_rate": 1.2598425196850393e-06,
3806
+ "loss": 0.037,
3807
+ "step": 633
3808
+ },
3809
+ {
3810
+ "epoch": 19.81,
3811
+ "learning_rate": 1.1023622047244094e-06,
3812
+ "loss": 0.0556,
3813
+ "step": 634
3814
+ },
3815
+ {
3816
+ "epoch": 19.84,
3817
+ "learning_rate": 9.448818897637796e-07,
3818
+ "loss": 0.0525,
3819
+ "step": 635
3820
+ },
3821
+ {
3822
+ "epoch": 19.88,
3823
+ "learning_rate": 7.874015748031496e-07,
3824
+ "loss": 0.0479,
3825
+ "step": 636
3826
+ },
3827
+ {
3828
+ "epoch": 19.91,
3829
+ "learning_rate": 6.299212598425197e-07,
3830
+ "loss": 0.0469,
3831
+ "step": 637
3832
+ },
3833
+ {
3834
+ "epoch": 19.94,
3835
+ "learning_rate": 4.724409448818898e-07,
3836
+ "loss": 0.0396,
3837
+ "step": 638
3838
+ },
3839
+ {
3840
+ "epoch": 19.97,
3841
+ "learning_rate": 3.1496062992125984e-07,
3842
+ "loss": 0.0834,
3843
+ "step": 639
3844
+ },
3845
+ {
3846
+ "epoch": 20.0,
3847
+ "learning_rate": 1.5748031496062992e-07,
3848
+ "loss": 0.0539,
3849
+ "step": 640
3850
+ },
3851
+ {
3852
+ "epoch": 20.0,
3853
+ "step": 640,
3854
+ "total_flos": 2.981403046182912e+16,
3855
+ "train_loss": 0.31634302906750233,
3856
+ "train_runtime": 1044.5949,
3857
+ "train_samples_per_second": 2.451,
3858
+ "train_steps_per_second": 0.613
3859
+ }
3860
+ ],
3861
+ "logging_steps": 1,
3862
+ "max_steps": 640,
3863
+ "num_train_epochs": 20,
3864
+ "save_steps": 500,
3865
+ "total_flos": 2.981403046182912e+16,
3866
+ "trial_name": null,
3867
+ "trial_params": null
3868
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c51beeda86fe58b4c687afabd5df3c134a155f5f530b98303d308f13ba55b92c
3
+ size 4600