Training in progress, step 3900, checkpoint
Browse files- checkpoint-3900/config.json +39 -0
- checkpoint-3900/merges.txt +0 -0
- checkpoint-3900/optimizer.pt +3 -0
- checkpoint-3900/pytorch_model.bin +3 -0
- checkpoint-3900/rng_state.pth +3 -0
- checkpoint-3900/scheduler.pt +3 -0
- checkpoint-3900/special_tokens_map.json +51 -0
- checkpoint-3900/tokenizer.json +0 -0
- checkpoint-3900/tokenizer_config.json +57 -0
- checkpoint-3900/trainer_state.json +2528 -0
- checkpoint-3900/training_args.bin +3 -0
- checkpoint-3900/vocab.json +0 -0
checkpoint-3900/config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "sheepy928/default",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"RobertaForSentimentClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"classifier_dropout": null,
|
| 9 |
+
"eos_token_id": 2,
|
| 10 |
+
"finetuning_task": "text-classification",
|
| 11 |
+
"hidden_act": "gelu",
|
| 12 |
+
"hidden_dropout_prob": 0.1,
|
| 13 |
+
"hidden_size": 768,
|
| 14 |
+
"id2label": {
|
| 15 |
+
"0": "0",
|
| 16 |
+
"1": "1",
|
| 17 |
+
"2": "2"
|
| 18 |
+
},
|
| 19 |
+
"initializer_range": 0.02,
|
| 20 |
+
"intermediate_size": 3072,
|
| 21 |
+
"label2id": {
|
| 22 |
+
"0": 0,
|
| 23 |
+
"1": 1,
|
| 24 |
+
"2": 2
|
| 25 |
+
},
|
| 26 |
+
"layer_norm_eps": 1e-05,
|
| 27 |
+
"max_position_embeddings": 514,
|
| 28 |
+
"model_type": "roberta",
|
| 29 |
+
"num_attention_heads": 12,
|
| 30 |
+
"num_hidden_layers": 12,
|
| 31 |
+
"pad_token_id": 1,
|
| 32 |
+
"position_embedding_type": "absolute",
|
| 33 |
+
"problem_type": "single_label_classification",
|
| 34 |
+
"torch_dtype": "float32",
|
| 35 |
+
"transformers_version": "4.34.1",
|
| 36 |
+
"type_vocab_size": 1,
|
| 37 |
+
"use_cache": true,
|
| 38 |
+
"vocab_size": 50265
|
| 39 |
+
}
|
checkpoint-3900/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-3900/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:577cf1e8019dbf5be86b8a44c444b994ac0745fdc0c3a6cc3289e9849bc0ec45
|
| 3 |
+
size 997351674
|
checkpoint-3900/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:386d3d1fc13d271270ce43787945692d4a8b652aeb3b182d8d52a581f01fa668
|
| 3 |
+
size 498661166
|
checkpoint-3900/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ce7958afa6687aaa7d619a3e8e819af7425744760480a7ef59e1cff5aa89d484
|
| 3 |
+
size 14244
|
checkpoint-3900/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6ac081eb9b12b01fe485c95380c73c478e43169fb73fb34695220539c72c2048
|
| 3 |
+
size 1064
|
checkpoint-3900/special_tokens_map.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"cls_token": {
|
| 10 |
+
"content": "<s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": true,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "<mask>",
|
| 25 |
+
"lstrip": true,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "<pad>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"sep_token": {
|
| 38 |
+
"content": "</s>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": true,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
},
|
| 44 |
+
"unk_token": {
|
| 45 |
+
"content": "<unk>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": true,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
|
checkpoint-3900/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-3900/tokenizer_config.json
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<s>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": true,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<pad>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": true,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "</s>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": true,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<unk>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": true,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"50264": {
|
| 37 |
+
"content": "<mask>",
|
| 38 |
+
"lstrip": true,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"bos_token": "<s>",
|
| 46 |
+
"clean_up_tokenization_spaces": true,
|
| 47 |
+
"cls_token": "<s>",
|
| 48 |
+
"eos_token": "</s>",
|
| 49 |
+
"errors": "replace",
|
| 50 |
+
"mask_token": "<mask>",
|
| 51 |
+
"model_max_length": 512,
|
| 52 |
+
"pad_token": "<pad>",
|
| 53 |
+
"sep_token": "</s>",
|
| 54 |
+
"tokenizer_class": "RobertaTokenizer",
|
| 55 |
+
"trim_offsets": true,
|
| 56 |
+
"unk_token": "<unk>"
|
| 57 |
+
}
|
checkpoint-3900/trainer_state.json
ADDED
|
@@ -0,0 +1,2528 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 20.74468085106383,
|
| 5 |
+
"eval_steps": 300,
|
| 6 |
+
"global_step": 3900,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.05,
|
| 13 |
+
"learning_rate": 5e-07,
|
| 14 |
+
"loss": 1.0874,
|
| 15 |
+
"step": 10
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.11,
|
| 19 |
+
"learning_rate": 1e-06,
|
| 20 |
+
"loss": 0.9487,
|
| 21 |
+
"step": 20
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.16,
|
| 25 |
+
"learning_rate": 1.5e-06,
|
| 26 |
+
"loss": 0.7586,
|
| 27 |
+
"step": 30
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.21,
|
| 31 |
+
"learning_rate": 2e-06,
|
| 32 |
+
"loss": 0.7225,
|
| 33 |
+
"step": 40
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.27,
|
| 37 |
+
"learning_rate": 2.5e-06,
|
| 38 |
+
"loss": 0.7364,
|
| 39 |
+
"step": 50
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.32,
|
| 43 |
+
"learning_rate": 3e-06,
|
| 44 |
+
"loss": 0.7265,
|
| 45 |
+
"step": 60
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.37,
|
| 49 |
+
"learning_rate": 3.5e-06,
|
| 50 |
+
"loss": 0.7267,
|
| 51 |
+
"step": 70
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.43,
|
| 55 |
+
"learning_rate": 4e-06,
|
| 56 |
+
"loss": 0.5697,
|
| 57 |
+
"step": 80
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.48,
|
| 61 |
+
"learning_rate": 4.5e-06,
|
| 62 |
+
"loss": 1.018,
|
| 63 |
+
"step": 90
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.53,
|
| 67 |
+
"learning_rate": 5e-06,
|
| 68 |
+
"loss": 0.7875,
|
| 69 |
+
"step": 100
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.59,
|
| 73 |
+
"learning_rate": 5.5e-06,
|
| 74 |
+
"loss": 0.8242,
|
| 75 |
+
"step": 110
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.64,
|
| 79 |
+
"learning_rate": 6e-06,
|
| 80 |
+
"loss": 0.8034,
|
| 81 |
+
"step": 120
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.69,
|
| 85 |
+
"learning_rate": 6.5e-06,
|
| 86 |
+
"loss": 0.7717,
|
| 87 |
+
"step": 130
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.74,
|
| 91 |
+
"learning_rate": 7e-06,
|
| 92 |
+
"loss": 0.8337,
|
| 93 |
+
"step": 140
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.8,
|
| 97 |
+
"learning_rate": 7.5e-06,
|
| 98 |
+
"loss": 0.6884,
|
| 99 |
+
"step": 150
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.85,
|
| 103 |
+
"learning_rate": 8e-06,
|
| 104 |
+
"loss": 0.9129,
|
| 105 |
+
"step": 160
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.9,
|
| 109 |
+
"learning_rate": 8.500000000000002e-06,
|
| 110 |
+
"loss": 0.5637,
|
| 111 |
+
"step": 170
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.96,
|
| 115 |
+
"learning_rate": 9e-06,
|
| 116 |
+
"loss": 1.0458,
|
| 117 |
+
"step": 180
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 1.01,
|
| 121 |
+
"learning_rate": 9.5e-06,
|
| 122 |
+
"loss": 0.9414,
|
| 123 |
+
"step": 190
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 1.06,
|
| 127 |
+
"learning_rate": 1e-05,
|
| 128 |
+
"loss": 0.6379,
|
| 129 |
+
"step": 200
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 1.12,
|
| 133 |
+
"learning_rate": 1.0500000000000001e-05,
|
| 134 |
+
"loss": 0.9249,
|
| 135 |
+
"step": 210
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 1.17,
|
| 139 |
+
"learning_rate": 1.1e-05,
|
| 140 |
+
"loss": 0.6944,
|
| 141 |
+
"step": 220
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 1.22,
|
| 145 |
+
"learning_rate": 1.15e-05,
|
| 146 |
+
"loss": 0.9221,
|
| 147 |
+
"step": 230
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 1.28,
|
| 151 |
+
"learning_rate": 1.2e-05,
|
| 152 |
+
"loss": 0.6475,
|
| 153 |
+
"step": 240
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 1.33,
|
| 157 |
+
"learning_rate": 1.25e-05,
|
| 158 |
+
"loss": 0.7748,
|
| 159 |
+
"step": 250
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 1.38,
|
| 163 |
+
"learning_rate": 1.3e-05,
|
| 164 |
+
"loss": 0.8705,
|
| 165 |
+
"step": 260
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 1.44,
|
| 169 |
+
"learning_rate": 1.35e-05,
|
| 170 |
+
"loss": 0.7737,
|
| 171 |
+
"step": 270
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 1.49,
|
| 175 |
+
"learning_rate": 1.4e-05,
|
| 176 |
+
"loss": 0.8643,
|
| 177 |
+
"step": 280
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 1.54,
|
| 181 |
+
"learning_rate": 1.4500000000000002e-05,
|
| 182 |
+
"loss": 0.8428,
|
| 183 |
+
"step": 290
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 1.6,
|
| 187 |
+
"learning_rate": 1.5e-05,
|
| 188 |
+
"loss": 0.6785,
|
| 189 |
+
"step": 300
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 1.6,
|
| 193 |
+
"eval_accuracy": 0.7386666666666667,
|
| 194 |
+
"eval_combined_score": 0.6626504648943422,
|
| 195 |
+
"eval_f1": 0.6276400817995911,
|
| 196 |
+
"eval_loss": 0.7930460572242737,
|
| 197 |
+
"eval_precision": 0.5456284444444445,
|
| 198 |
+
"eval_recall": 0.7386666666666667,
|
| 199 |
+
"eval_runtime": 6.0663,
|
| 200 |
+
"eval_samples_per_second": 247.266,
|
| 201 |
+
"eval_steps_per_second": 7.748,
|
| 202 |
+
"step": 300
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 1.65,
|
| 206 |
+
"learning_rate": 1.55e-05,
|
| 207 |
+
"loss": 0.6076,
|
| 208 |
+
"step": 310
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 1.7,
|
| 212 |
+
"learning_rate": 1.6e-05,
|
| 213 |
+
"loss": 0.5963,
|
| 214 |
+
"step": 320
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 1.76,
|
| 218 |
+
"learning_rate": 1.65e-05,
|
| 219 |
+
"loss": 0.6626,
|
| 220 |
+
"step": 330
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 1.81,
|
| 224 |
+
"learning_rate": 1.7000000000000003e-05,
|
| 225 |
+
"loss": 0.8379,
|
| 226 |
+
"step": 340
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 1.86,
|
| 230 |
+
"learning_rate": 1.7500000000000002e-05,
|
| 231 |
+
"loss": 0.8851,
|
| 232 |
+
"step": 350
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 1.91,
|
| 236 |
+
"learning_rate": 1.8e-05,
|
| 237 |
+
"loss": 0.7489,
|
| 238 |
+
"step": 360
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 1.97,
|
| 242 |
+
"learning_rate": 1.85e-05,
|
| 243 |
+
"loss": 0.7573,
|
| 244 |
+
"step": 370
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 2.02,
|
| 248 |
+
"learning_rate": 1.9e-05,
|
| 249 |
+
"loss": 0.8018,
|
| 250 |
+
"step": 380
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"epoch": 2.07,
|
| 254 |
+
"learning_rate": 1.95e-05,
|
| 255 |
+
"loss": 0.6645,
|
| 256 |
+
"step": 390
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 2.13,
|
| 260 |
+
"learning_rate": 2e-05,
|
| 261 |
+
"loss": 0.8677,
|
| 262 |
+
"step": 400
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 2.18,
|
| 266 |
+
"learning_rate": 2.05e-05,
|
| 267 |
+
"loss": 0.7478,
|
| 268 |
+
"step": 410
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 2.23,
|
| 272 |
+
"learning_rate": 2.1000000000000002e-05,
|
| 273 |
+
"loss": 0.8551,
|
| 274 |
+
"step": 420
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"epoch": 2.29,
|
| 278 |
+
"learning_rate": 2.1499999999999997e-05,
|
| 279 |
+
"loss": 0.9323,
|
| 280 |
+
"step": 430
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"epoch": 2.34,
|
| 284 |
+
"learning_rate": 2.2e-05,
|
| 285 |
+
"loss": 0.7536,
|
| 286 |
+
"step": 440
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 2.39,
|
| 290 |
+
"learning_rate": 2.2499999999999998e-05,
|
| 291 |
+
"loss": 0.5336,
|
| 292 |
+
"step": 450
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 2.45,
|
| 296 |
+
"learning_rate": 2.3e-05,
|
| 297 |
+
"loss": 0.8955,
|
| 298 |
+
"step": 460
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 2.5,
|
| 302 |
+
"learning_rate": 2.3500000000000002e-05,
|
| 303 |
+
"loss": 0.7926,
|
| 304 |
+
"step": 470
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 2.55,
|
| 308 |
+
"learning_rate": 2.4e-05,
|
| 309 |
+
"loss": 0.5713,
|
| 310 |
+
"step": 480
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 2.61,
|
| 314 |
+
"learning_rate": 2.4500000000000003e-05,
|
| 315 |
+
"loss": 0.8568,
|
| 316 |
+
"step": 490
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 2.66,
|
| 320 |
+
"learning_rate": 2.5e-05,
|
| 321 |
+
"loss": 0.6348,
|
| 322 |
+
"step": 500
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 2.71,
|
| 326 |
+
"learning_rate": 2.55e-05,
|
| 327 |
+
"loss": 0.6223,
|
| 328 |
+
"step": 510
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 2.77,
|
| 332 |
+
"learning_rate": 2.6e-05,
|
| 333 |
+
"loss": 0.7579,
|
| 334 |
+
"step": 520
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 2.82,
|
| 338 |
+
"learning_rate": 2.65e-05,
|
| 339 |
+
"loss": 0.6325,
|
| 340 |
+
"step": 530
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 2.87,
|
| 344 |
+
"learning_rate": 2.7e-05,
|
| 345 |
+
"loss": 0.7276,
|
| 346 |
+
"step": 540
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 2.93,
|
| 350 |
+
"learning_rate": 2.75e-05,
|
| 351 |
+
"loss": 0.8766,
|
| 352 |
+
"step": 550
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 2.98,
|
| 356 |
+
"learning_rate": 2.8e-05,
|
| 357 |
+
"loss": 0.7107,
|
| 358 |
+
"step": 560
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"epoch": 3.03,
|
| 362 |
+
"learning_rate": 2.85e-05,
|
| 363 |
+
"loss": 0.5904,
|
| 364 |
+
"step": 570
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 3.09,
|
| 368 |
+
"learning_rate": 2.9000000000000004e-05,
|
| 369 |
+
"loss": 0.7125,
|
| 370 |
+
"step": 580
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 3.14,
|
| 374 |
+
"learning_rate": 2.95e-05,
|
| 375 |
+
"loss": 0.755,
|
| 376 |
+
"step": 590
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 3.19,
|
| 380 |
+
"learning_rate": 3e-05,
|
| 381 |
+
"loss": 0.5583,
|
| 382 |
+
"step": 600
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 3.19,
|
| 386 |
+
"eval_accuracy": 0.7613333333333333,
|
| 387 |
+
"eval_combined_score": 0.7403762607674487,
|
| 388 |
+
"eval_f1": 0.7316181693637903,
|
| 389 |
+
"eval_loss": 0.6910097599029541,
|
| 390 |
+
"eval_precision": 0.7072202070393374,
|
| 391 |
+
"eval_recall": 0.7613333333333333,
|
| 392 |
+
"eval_runtime": 6.0882,
|
| 393 |
+
"eval_samples_per_second": 246.376,
|
| 394 |
+
"eval_steps_per_second": 7.72,
|
| 395 |
+
"step": 600
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 3.24,
|
| 399 |
+
"learning_rate": 3.05e-05,
|
| 400 |
+
"loss": 0.6527,
|
| 401 |
+
"step": 610
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 3.3,
|
| 405 |
+
"learning_rate": 3.1e-05,
|
| 406 |
+
"loss": 0.7676,
|
| 407 |
+
"step": 620
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 3.35,
|
| 411 |
+
"learning_rate": 3.15e-05,
|
| 412 |
+
"loss": 0.766,
|
| 413 |
+
"step": 630
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 3.4,
|
| 417 |
+
"learning_rate": 3.2e-05,
|
| 418 |
+
"loss": 0.6217,
|
| 419 |
+
"step": 640
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 3.46,
|
| 423 |
+
"learning_rate": 3.2500000000000004e-05,
|
| 424 |
+
"loss": 0.5405,
|
| 425 |
+
"step": 650
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 3.51,
|
| 429 |
+
"learning_rate": 3.3e-05,
|
| 430 |
+
"loss": 0.7951,
|
| 431 |
+
"step": 660
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 3.56,
|
| 435 |
+
"learning_rate": 3.35e-05,
|
| 436 |
+
"loss": 0.552,
|
| 437 |
+
"step": 670
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 3.62,
|
| 441 |
+
"learning_rate": 3.4000000000000007e-05,
|
| 442 |
+
"loss": 0.6521,
|
| 443 |
+
"step": 680
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 3.67,
|
| 447 |
+
"learning_rate": 3.4500000000000005e-05,
|
| 448 |
+
"loss": 0.6814,
|
| 449 |
+
"step": 690
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 3.72,
|
| 453 |
+
"learning_rate": 3.5000000000000004e-05,
|
| 454 |
+
"loss": 0.3992,
|
| 455 |
+
"step": 700
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 3.78,
|
| 459 |
+
"learning_rate": 3.5499999999999996e-05,
|
| 460 |
+
"loss": 0.7018,
|
| 461 |
+
"step": 710
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 3.83,
|
| 465 |
+
"learning_rate": 3.6e-05,
|
| 466 |
+
"loss": 0.664,
|
| 467 |
+
"step": 720
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 3.88,
|
| 471 |
+
"learning_rate": 3.65e-05,
|
| 472 |
+
"loss": 0.6891,
|
| 473 |
+
"step": 730
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 3.94,
|
| 477 |
+
"learning_rate": 3.7e-05,
|
| 478 |
+
"loss": 0.6063,
|
| 479 |
+
"step": 740
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 3.99,
|
| 483 |
+
"learning_rate": 3.75e-05,
|
| 484 |
+
"loss": 0.6543,
|
| 485 |
+
"step": 750
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 4.04,
|
| 489 |
+
"learning_rate": 3.8e-05,
|
| 490 |
+
"loss": 0.5638,
|
| 491 |
+
"step": 760
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 4.1,
|
| 495 |
+
"learning_rate": 3.85e-05,
|
| 496 |
+
"loss": 0.6984,
|
| 497 |
+
"step": 770
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 4.15,
|
| 501 |
+
"learning_rate": 3.9e-05,
|
| 502 |
+
"loss": 0.7148,
|
| 503 |
+
"step": 780
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 4.2,
|
| 507 |
+
"learning_rate": 3.95e-05,
|
| 508 |
+
"loss": 0.4915,
|
| 509 |
+
"step": 790
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 4.26,
|
| 513 |
+
"learning_rate": 4e-05,
|
| 514 |
+
"loss": 0.648,
|
| 515 |
+
"step": 800
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 4.31,
|
| 519 |
+
"learning_rate": 4.05e-05,
|
| 520 |
+
"loss": 0.4527,
|
| 521 |
+
"step": 810
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 4.36,
|
| 525 |
+
"learning_rate": 4.1e-05,
|
| 526 |
+
"loss": 0.551,
|
| 527 |
+
"step": 820
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 4.41,
|
| 531 |
+
"learning_rate": 4.1500000000000006e-05,
|
| 532 |
+
"loss": 0.5909,
|
| 533 |
+
"step": 830
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 4.47,
|
| 537 |
+
"learning_rate": 4.2000000000000004e-05,
|
| 538 |
+
"loss": 0.603,
|
| 539 |
+
"step": 840
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 4.52,
|
| 543 |
+
"learning_rate": 4.25e-05,
|
| 544 |
+
"loss": 1.0745,
|
| 545 |
+
"step": 850
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 4.57,
|
| 549 |
+
"learning_rate": 4.2999999999999995e-05,
|
| 550 |
+
"loss": 0.6697,
|
| 551 |
+
"step": 860
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 4.63,
|
| 555 |
+
"learning_rate": 4.35e-05,
|
| 556 |
+
"loss": 0.8374,
|
| 557 |
+
"step": 870
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 4.68,
|
| 561 |
+
"learning_rate": 4.4e-05,
|
| 562 |
+
"loss": 0.4891,
|
| 563 |
+
"step": 880
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 4.73,
|
| 567 |
+
"learning_rate": 4.45e-05,
|
| 568 |
+
"loss": 0.5956,
|
| 569 |
+
"step": 890
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 4.79,
|
| 573 |
+
"learning_rate": 4.4999999999999996e-05,
|
| 574 |
+
"loss": 0.7857,
|
| 575 |
+
"step": 900
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 4.79,
|
| 579 |
+
"eval_accuracy": 0.7386666666666667,
|
| 580 |
+
"eval_combined_score": 0.6626504648943422,
|
| 581 |
+
"eval_f1": 0.6276400817995911,
|
| 582 |
+
"eval_loss": 0.6514685153961182,
|
| 583 |
+
"eval_precision": 0.5456284444444445,
|
| 584 |
+
"eval_recall": 0.7386666666666667,
|
| 585 |
+
"eval_runtime": 5.9473,
|
| 586 |
+
"eval_samples_per_second": 252.216,
|
| 587 |
+
"eval_steps_per_second": 7.903,
|
| 588 |
+
"step": 900
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 4.84,
|
| 592 |
+
"learning_rate": 4.55e-05,
|
| 593 |
+
"loss": 0.8566,
|
| 594 |
+
"step": 910
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 4.89,
|
| 598 |
+
"learning_rate": 4.6e-05,
|
| 599 |
+
"loss": 0.4698,
|
| 600 |
+
"step": 920
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 4.95,
|
| 604 |
+
"learning_rate": 4.65e-05,
|
| 605 |
+
"loss": 0.7224,
|
| 606 |
+
"step": 930
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 5.0,
|
| 610 |
+
"learning_rate": 4.7000000000000004e-05,
|
| 611 |
+
"loss": 0.5879,
|
| 612 |
+
"step": 940
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 5.05,
|
| 616 |
+
"learning_rate": 4.75e-05,
|
| 617 |
+
"loss": 0.3592,
|
| 618 |
+
"step": 950
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 5.11,
|
| 622 |
+
"learning_rate": 4.8e-05,
|
| 623 |
+
"loss": 0.513,
|
| 624 |
+
"step": 960
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 5.16,
|
| 628 |
+
"learning_rate": 4.85e-05,
|
| 629 |
+
"loss": 0.6167,
|
| 630 |
+
"step": 970
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 5.21,
|
| 634 |
+
"learning_rate": 4.9000000000000005e-05,
|
| 635 |
+
"loss": 0.5706,
|
| 636 |
+
"step": 980
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 5.27,
|
| 640 |
+
"learning_rate": 4.9500000000000004e-05,
|
| 641 |
+
"loss": 0.5523,
|
| 642 |
+
"step": 990
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 5.32,
|
| 646 |
+
"learning_rate": 5e-05,
|
| 647 |
+
"loss": 0.6565,
|
| 648 |
+
"step": 1000
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 5.37,
|
| 652 |
+
"learning_rate": 5.05e-05,
|
| 653 |
+
"loss": 0.4634,
|
| 654 |
+
"step": 1010
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 5.43,
|
| 658 |
+
"learning_rate": 5.1e-05,
|
| 659 |
+
"loss": 0.634,
|
| 660 |
+
"step": 1020
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 5.48,
|
| 664 |
+
"learning_rate": 5.15e-05,
|
| 665 |
+
"loss": 0.5472,
|
| 666 |
+
"step": 1030
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 5.53,
|
| 670 |
+
"learning_rate": 5.2e-05,
|
| 671 |
+
"loss": 0.595,
|
| 672 |
+
"step": 1040
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 5.59,
|
| 676 |
+
"learning_rate": 5.25e-05,
|
| 677 |
+
"loss": 0.4889,
|
| 678 |
+
"step": 1050
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 5.64,
|
| 682 |
+
"learning_rate": 5.3e-05,
|
| 683 |
+
"loss": 0.5884,
|
| 684 |
+
"step": 1060
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 5.69,
|
| 688 |
+
"learning_rate": 5.35e-05,
|
| 689 |
+
"loss": 0.4149,
|
| 690 |
+
"step": 1070
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 5.74,
|
| 694 |
+
"learning_rate": 5.4e-05,
|
| 695 |
+
"loss": 0.7573,
|
| 696 |
+
"step": 1080
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 5.8,
|
| 700 |
+
"learning_rate": 5.45e-05,
|
| 701 |
+
"loss": 0.599,
|
| 702 |
+
"step": 1090
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 5.85,
|
| 706 |
+
"learning_rate": 5.5e-05,
|
| 707 |
+
"loss": 0.366,
|
| 708 |
+
"step": 1100
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 5.9,
|
| 712 |
+
"learning_rate": 5.55e-05,
|
| 713 |
+
"loss": 0.4906,
|
| 714 |
+
"step": 1110
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 5.96,
|
| 718 |
+
"learning_rate": 5.6e-05,
|
| 719 |
+
"loss": 0.4378,
|
| 720 |
+
"step": 1120
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 6.01,
|
| 724 |
+
"learning_rate": 5.6500000000000005e-05,
|
| 725 |
+
"loss": 0.4886,
|
| 726 |
+
"step": 1130
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 6.06,
|
| 730 |
+
"learning_rate": 5.7e-05,
|
| 731 |
+
"loss": 0.342,
|
| 732 |
+
"step": 1140
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 6.12,
|
| 736 |
+
"learning_rate": 5.75e-05,
|
| 737 |
+
"loss": 0.7803,
|
| 738 |
+
"step": 1150
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 6.17,
|
| 742 |
+
"learning_rate": 5.800000000000001e-05,
|
| 743 |
+
"loss": 0.3435,
|
| 744 |
+
"step": 1160
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 6.22,
|
| 748 |
+
"learning_rate": 5.8500000000000006e-05,
|
| 749 |
+
"loss": 0.6149,
|
| 750 |
+
"step": 1170
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 6.28,
|
| 754 |
+
"learning_rate": 5.9e-05,
|
| 755 |
+
"loss": 0.3026,
|
| 756 |
+
"step": 1180
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 6.33,
|
| 760 |
+
"learning_rate": 5.9499999999999996e-05,
|
| 761 |
+
"loss": 0.9387,
|
| 762 |
+
"step": 1190
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 6.38,
|
| 766 |
+
"learning_rate": 6e-05,
|
| 767 |
+
"loss": 0.6309,
|
| 768 |
+
"step": 1200
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 6.38,
|
| 772 |
+
"eval_accuracy": 0.848,
|
| 773 |
+
"eval_combined_score": 0.8403047916631027,
|
| 774 |
+
"eval_f1": 0.8270449473875959,
|
| 775 |
+
"eval_loss": 0.5592399835586548,
|
| 776 |
+
"eval_precision": 0.8381742192648148,
|
| 777 |
+
"eval_recall": 0.848,
|
| 778 |
+
"eval_runtime": 5.9701,
|
| 779 |
+
"eval_samples_per_second": 251.251,
|
| 780 |
+
"eval_steps_per_second": 7.873,
|
| 781 |
+
"step": 1200
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 6.44,
|
| 785 |
+
"learning_rate": 6.05e-05,
|
| 786 |
+
"loss": 0.4672,
|
| 787 |
+
"step": 1210
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 6.49,
|
| 791 |
+
"learning_rate": 6.1e-05,
|
| 792 |
+
"loss": 0.4909,
|
| 793 |
+
"step": 1220
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 6.54,
|
| 797 |
+
"learning_rate": 6.15e-05,
|
| 798 |
+
"loss": 0.5007,
|
| 799 |
+
"step": 1230
|
| 800 |
+
},
|
| 801 |
+
{
|
| 802 |
+
"epoch": 6.6,
|
| 803 |
+
"learning_rate": 6.2e-05,
|
| 804 |
+
"loss": 0.4318,
|
| 805 |
+
"step": 1240
|
| 806 |
+
},
|
| 807 |
+
{
|
| 808 |
+
"epoch": 6.65,
|
| 809 |
+
"learning_rate": 6.25e-05,
|
| 810 |
+
"loss": 0.3623,
|
| 811 |
+
"step": 1250
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"epoch": 6.7,
|
| 815 |
+
"learning_rate": 6.3e-05,
|
| 816 |
+
"loss": 0.3294,
|
| 817 |
+
"step": 1260
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 6.76,
|
| 821 |
+
"learning_rate": 6.35e-05,
|
| 822 |
+
"loss": 0.7501,
|
| 823 |
+
"step": 1270
|
| 824 |
+
},
|
| 825 |
+
{
|
| 826 |
+
"epoch": 6.81,
|
| 827 |
+
"learning_rate": 6.4e-05,
|
| 828 |
+
"loss": 0.6436,
|
| 829 |
+
"step": 1280
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 6.86,
|
| 833 |
+
"learning_rate": 6.450000000000001e-05,
|
| 834 |
+
"loss": 0.525,
|
| 835 |
+
"step": 1290
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 6.91,
|
| 839 |
+
"learning_rate": 6.500000000000001e-05,
|
| 840 |
+
"loss": 0.6047,
|
| 841 |
+
"step": 1300
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 6.97,
|
| 845 |
+
"learning_rate": 6.55e-05,
|
| 846 |
+
"loss": 0.3636,
|
| 847 |
+
"step": 1310
|
| 848 |
+
},
|
| 849 |
+
{
|
| 850 |
+
"epoch": 7.02,
|
| 851 |
+
"learning_rate": 6.6e-05,
|
| 852 |
+
"loss": 0.5634,
|
| 853 |
+
"step": 1320
|
| 854 |
+
},
|
| 855 |
+
{
|
| 856 |
+
"epoch": 7.07,
|
| 857 |
+
"learning_rate": 6.65e-05,
|
| 858 |
+
"loss": 0.3846,
|
| 859 |
+
"step": 1330
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 7.13,
|
| 863 |
+
"learning_rate": 6.7e-05,
|
| 864 |
+
"loss": 0.8436,
|
| 865 |
+
"step": 1340
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 7.18,
|
| 869 |
+
"learning_rate": 6.75e-05,
|
| 870 |
+
"loss": 0.4762,
|
| 871 |
+
"step": 1350
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 7.23,
|
| 875 |
+
"learning_rate": 6.800000000000001e-05,
|
| 876 |
+
"loss": 0.5856,
|
| 877 |
+
"step": 1360
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 7.29,
|
| 881 |
+
"learning_rate": 6.850000000000001e-05,
|
| 882 |
+
"loss": 0.4042,
|
| 883 |
+
"step": 1370
|
| 884 |
+
},
|
| 885 |
+
{
|
| 886 |
+
"epoch": 7.34,
|
| 887 |
+
"learning_rate": 6.900000000000001e-05,
|
| 888 |
+
"loss": 0.475,
|
| 889 |
+
"step": 1380
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"epoch": 7.39,
|
| 893 |
+
"learning_rate": 6.950000000000001e-05,
|
| 894 |
+
"loss": 0.3535,
|
| 895 |
+
"step": 1390
|
| 896 |
+
},
|
| 897 |
+
{
|
| 898 |
+
"epoch": 7.45,
|
| 899 |
+
"learning_rate": 7.000000000000001e-05,
|
| 900 |
+
"loss": 0.2399,
|
| 901 |
+
"step": 1400
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 7.5,
|
| 905 |
+
"learning_rate": 7.049999999999999e-05,
|
| 906 |
+
"loss": 0.316,
|
| 907 |
+
"step": 1410
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 7.55,
|
| 911 |
+
"learning_rate": 7.095e-05,
|
| 912 |
+
"loss": 0.438,
|
| 913 |
+
"step": 1420
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 7.61,
|
| 917 |
+
"learning_rate": 7.145e-05,
|
| 918 |
+
"loss": 0.2673,
|
| 919 |
+
"step": 1430
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 7.66,
|
| 923 |
+
"learning_rate": 7.195e-05,
|
| 924 |
+
"loss": 0.4286,
|
| 925 |
+
"step": 1440
|
| 926 |
+
},
|
| 927 |
+
{
|
| 928 |
+
"epoch": 7.71,
|
| 929 |
+
"learning_rate": 7.245e-05,
|
| 930 |
+
"loss": 0.3655,
|
| 931 |
+
"step": 1450
|
| 932 |
+
},
|
| 933 |
+
{
|
| 934 |
+
"epoch": 7.77,
|
| 935 |
+
"learning_rate": 7.295e-05,
|
| 936 |
+
"loss": 0.434,
|
| 937 |
+
"step": 1460
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"epoch": 7.82,
|
| 941 |
+
"learning_rate": 7.345e-05,
|
| 942 |
+
"loss": 0.6143,
|
| 943 |
+
"step": 1470
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"epoch": 7.87,
|
| 947 |
+
"learning_rate": 7.395000000000001e-05,
|
| 948 |
+
"loss": 0.5471,
|
| 949 |
+
"step": 1480
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"epoch": 7.93,
|
| 953 |
+
"learning_rate": 7.445000000000001e-05,
|
| 954 |
+
"loss": 0.299,
|
| 955 |
+
"step": 1490
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 7.98,
|
| 959 |
+
"learning_rate": 7.495e-05,
|
| 960 |
+
"loss": 0.2216,
|
| 961 |
+
"step": 1500
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 7.98,
|
| 965 |
+
"eval_accuracy": 0.8773333333333333,
|
| 966 |
+
"eval_combined_score": 0.8618647537688802,
|
| 967 |
+
"eval_f1": 0.8431508113173474,
|
| 968 |
+
"eval_loss": 0.5708244442939758,
|
| 969 |
+
"eval_precision": 0.8496415370915067,
|
| 970 |
+
"eval_recall": 0.8773333333333333,
|
| 971 |
+
"eval_runtime": 6.0286,
|
| 972 |
+
"eval_samples_per_second": 248.816,
|
| 973 |
+
"eval_steps_per_second": 7.796,
|
| 974 |
+
"step": 1500
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 8.03,
|
| 978 |
+
"learning_rate": 7.545e-05,
|
| 979 |
+
"loss": 0.5517,
|
| 980 |
+
"step": 1510
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 8.09,
|
| 984 |
+
"learning_rate": 7.595e-05,
|
| 985 |
+
"loss": 0.3237,
|
| 986 |
+
"step": 1520
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 8.14,
|
| 990 |
+
"learning_rate": 7.645e-05,
|
| 991 |
+
"loss": 0.3945,
|
| 992 |
+
"step": 1530
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 8.19,
|
| 996 |
+
"learning_rate": 7.695e-05,
|
| 997 |
+
"loss": 0.3996,
|
| 998 |
+
"step": 1540
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 8.24,
|
| 1002 |
+
"learning_rate": 7.745000000000001e-05,
|
| 1003 |
+
"loss": 0.3644,
|
| 1004 |
+
"step": 1550
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 8.3,
|
| 1008 |
+
"learning_rate": 7.795000000000001e-05,
|
| 1009 |
+
"loss": 0.6767,
|
| 1010 |
+
"step": 1560
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 8.35,
|
| 1014 |
+
"learning_rate": 7.845000000000001e-05,
|
| 1015 |
+
"loss": 0.434,
|
| 1016 |
+
"step": 1570
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 8.4,
|
| 1020 |
+
"learning_rate": 7.895000000000001e-05,
|
| 1021 |
+
"loss": 0.4047,
|
| 1022 |
+
"step": 1580
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 8.46,
|
| 1026 |
+
"learning_rate": 7.945e-05,
|
| 1027 |
+
"loss": 0.3844,
|
| 1028 |
+
"step": 1590
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 8.51,
|
| 1032 |
+
"learning_rate": 7.994999999999999e-05,
|
| 1033 |
+
"loss": 0.2656,
|
| 1034 |
+
"step": 1600
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 8.56,
|
| 1038 |
+
"learning_rate": 8.044999999999999e-05,
|
| 1039 |
+
"loss": 0.3318,
|
| 1040 |
+
"step": 1610
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 8.62,
|
| 1044 |
+
"learning_rate": 8.095e-05,
|
| 1045 |
+
"loss": 0.4627,
|
| 1046 |
+
"step": 1620
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 8.67,
|
| 1050 |
+
"learning_rate": 8.145e-05,
|
| 1051 |
+
"loss": 0.6657,
|
| 1052 |
+
"step": 1630
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 8.72,
|
| 1056 |
+
"learning_rate": 8.195e-05,
|
| 1057 |
+
"loss": 0.353,
|
| 1058 |
+
"step": 1640
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 8.78,
|
| 1062 |
+
"learning_rate": 8.245e-05,
|
| 1063 |
+
"loss": 0.4543,
|
| 1064 |
+
"step": 1650
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 8.83,
|
| 1068 |
+
"learning_rate": 8.295e-05,
|
| 1069 |
+
"loss": 0.4121,
|
| 1070 |
+
"step": 1660
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 8.88,
|
| 1074 |
+
"learning_rate": 8.340000000000001e-05,
|
| 1075 |
+
"loss": 0.2792,
|
| 1076 |
+
"step": 1670
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 8.94,
|
| 1080 |
+
"learning_rate": 8.39e-05,
|
| 1081 |
+
"loss": 0.3618,
|
| 1082 |
+
"step": 1680
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 8.99,
|
| 1086 |
+
"learning_rate": 8.44e-05,
|
| 1087 |
+
"loss": 0.4922,
|
| 1088 |
+
"step": 1690
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 9.04,
|
| 1092 |
+
"learning_rate": 8.49e-05,
|
| 1093 |
+
"loss": 0.6822,
|
| 1094 |
+
"step": 1700
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 9.1,
|
| 1098 |
+
"learning_rate": 8.54e-05,
|
| 1099 |
+
"loss": 0.4936,
|
| 1100 |
+
"step": 1710
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 9.15,
|
| 1104 |
+
"learning_rate": 8.59e-05,
|
| 1105 |
+
"loss": 0.4652,
|
| 1106 |
+
"step": 1720
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 9.2,
|
| 1110 |
+
"learning_rate": 8.640000000000001e-05,
|
| 1111 |
+
"loss": 0.3529,
|
| 1112 |
+
"step": 1730
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 9.26,
|
| 1116 |
+
"learning_rate": 8.690000000000001e-05,
|
| 1117 |
+
"loss": 0.5115,
|
| 1118 |
+
"step": 1740
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 9.31,
|
| 1122 |
+
"learning_rate": 8.740000000000001e-05,
|
| 1123 |
+
"loss": 0.5859,
|
| 1124 |
+
"step": 1750
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 9.36,
|
| 1128 |
+
"learning_rate": 8.790000000000001e-05,
|
| 1129 |
+
"loss": 0.5069,
|
| 1130 |
+
"step": 1760
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 9.41,
|
| 1134 |
+
"learning_rate": 8.840000000000001e-05,
|
| 1135 |
+
"loss": 0.2584,
|
| 1136 |
+
"step": 1770
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 9.47,
|
| 1140 |
+
"learning_rate": 8.885e-05,
|
| 1141 |
+
"loss": 0.313,
|
| 1142 |
+
"step": 1780
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 9.52,
|
| 1146 |
+
"learning_rate": 8.935e-05,
|
| 1147 |
+
"loss": 0.4103,
|
| 1148 |
+
"step": 1790
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 9.57,
|
| 1152 |
+
"learning_rate": 8.985e-05,
|
| 1153 |
+
"loss": 0.3214,
|
| 1154 |
+
"step": 1800
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 9.57,
|
| 1158 |
+
"eval_accuracy": 0.896,
|
| 1159 |
+
"eval_combined_score": 0.8819938675326909,
|
| 1160 |
+
"eval_f1": 0.8583787127091727,
|
| 1161 |
+
"eval_loss": 0.45495954155921936,
|
| 1162 |
+
"eval_precision": 0.8775967574215913,
|
| 1163 |
+
"eval_recall": 0.896,
|
| 1164 |
+
"eval_runtime": 6.1706,
|
| 1165 |
+
"eval_samples_per_second": 243.087,
|
| 1166 |
+
"eval_steps_per_second": 7.617,
|
| 1167 |
+
"step": 1800
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 9.63,
|
| 1171 |
+
"learning_rate": 9.035e-05,
|
| 1172 |
+
"loss": 0.5097,
|
| 1173 |
+
"step": 1810
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 9.68,
|
| 1177 |
+
"learning_rate": 9.085e-05,
|
| 1178 |
+
"loss": 0.4306,
|
| 1179 |
+
"step": 1820
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 9.73,
|
| 1183 |
+
"learning_rate": 9.135e-05,
|
| 1184 |
+
"loss": 0.2573,
|
| 1185 |
+
"step": 1830
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 9.79,
|
| 1189 |
+
"learning_rate": 9.185e-05,
|
| 1190 |
+
"loss": 0.3534,
|
| 1191 |
+
"step": 1840
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"epoch": 9.84,
|
| 1195 |
+
"learning_rate": 9.235000000000001e-05,
|
| 1196 |
+
"loss": 0.5012,
|
| 1197 |
+
"step": 1850
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"epoch": 9.89,
|
| 1201 |
+
"learning_rate": 9.285000000000001e-05,
|
| 1202 |
+
"loss": 0.7057,
|
| 1203 |
+
"step": 1860
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"epoch": 9.95,
|
| 1207 |
+
"learning_rate": 9.335e-05,
|
| 1208 |
+
"loss": 0.5385,
|
| 1209 |
+
"step": 1870
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 10.0,
|
| 1213 |
+
"learning_rate": 9.385e-05,
|
| 1214 |
+
"loss": 0.2633,
|
| 1215 |
+
"step": 1880
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 10.05,
|
| 1219 |
+
"learning_rate": 9.435e-05,
|
| 1220 |
+
"loss": 0.3853,
|
| 1221 |
+
"step": 1890
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 10.11,
|
| 1225 |
+
"learning_rate": 9.485e-05,
|
| 1226 |
+
"loss": 0.4354,
|
| 1227 |
+
"step": 1900
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 10.16,
|
| 1231 |
+
"learning_rate": 9.535e-05,
|
| 1232 |
+
"loss": 0.7459,
|
| 1233 |
+
"step": 1910
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 10.21,
|
| 1237 |
+
"learning_rate": 9.585000000000001e-05,
|
| 1238 |
+
"loss": 0.2937,
|
| 1239 |
+
"step": 1920
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 10.27,
|
| 1243 |
+
"learning_rate": 9.635000000000001e-05,
|
| 1244 |
+
"loss": 0.2932,
|
| 1245 |
+
"step": 1930
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 10.32,
|
| 1249 |
+
"learning_rate": 9.685000000000001e-05,
|
| 1250 |
+
"loss": 0.4256,
|
| 1251 |
+
"step": 1940
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 10.37,
|
| 1255 |
+
"learning_rate": 9.735000000000001e-05,
|
| 1256 |
+
"loss": 0.4336,
|
| 1257 |
+
"step": 1950
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 10.43,
|
| 1261 |
+
"learning_rate": 9.785e-05,
|
| 1262 |
+
"loss": 0.4684,
|
| 1263 |
+
"step": 1960
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 10.48,
|
| 1267 |
+
"learning_rate": 9.835e-05,
|
| 1268 |
+
"loss": 0.5437,
|
| 1269 |
+
"step": 1970
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 10.53,
|
| 1273 |
+
"learning_rate": 9.884999999999999e-05,
|
| 1274 |
+
"loss": 0.3036,
|
| 1275 |
+
"step": 1980
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 10.59,
|
| 1279 |
+
"learning_rate": 9.935e-05,
|
| 1280 |
+
"loss": 0.1528,
|
| 1281 |
+
"step": 1990
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 10.64,
|
| 1285 |
+
"learning_rate": 9.985e-05,
|
| 1286 |
+
"loss": 0.8779,
|
| 1287 |
+
"step": 2000
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 10.69,
|
| 1291 |
+
"learning_rate": 0.00010035,
|
| 1292 |
+
"loss": 0.53,
|
| 1293 |
+
"step": 2010
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 10.74,
|
| 1297 |
+
"learning_rate": 0.00010085,
|
| 1298 |
+
"loss": 0.2656,
|
| 1299 |
+
"step": 2020
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 10.8,
|
| 1303 |
+
"learning_rate": 0.00010135,
|
| 1304 |
+
"loss": 0.3895,
|
| 1305 |
+
"step": 2030
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 10.85,
|
| 1309 |
+
"learning_rate": 0.00010185,
|
| 1310 |
+
"loss": 0.5943,
|
| 1311 |
+
"step": 2040
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 10.9,
|
| 1315 |
+
"learning_rate": 0.00010235,
|
| 1316 |
+
"loss": 0.5021,
|
| 1317 |
+
"step": 2050
|
| 1318 |
+
},
|
| 1319 |
+
{
|
| 1320 |
+
"epoch": 10.96,
|
| 1321 |
+
"learning_rate": 0.00010284999999999999,
|
| 1322 |
+
"loss": 0.3804,
|
| 1323 |
+
"step": 2060
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"epoch": 11.01,
|
| 1327 |
+
"learning_rate": 0.00010335,
|
| 1328 |
+
"loss": 0.2204,
|
| 1329 |
+
"step": 2070
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 11.06,
|
| 1333 |
+
"learning_rate": 0.00010385,
|
| 1334 |
+
"loss": 0.4421,
|
| 1335 |
+
"step": 2080
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 11.12,
|
| 1339 |
+
"learning_rate": 0.0001043,
|
| 1340 |
+
"loss": 1.0409,
|
| 1341 |
+
"step": 2090
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 11.17,
|
| 1345 |
+
"learning_rate": 0.00010480000000000001,
|
| 1346 |
+
"loss": 0.7521,
|
| 1347 |
+
"step": 2100
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 11.17,
|
| 1351 |
+
"eval_accuracy": 0.884,
|
| 1352 |
+
"eval_combined_score": 0.8540521114926303,
|
| 1353 |
+
"eval_f1": 0.8422803386258884,
|
| 1354 |
+
"eval_loss": 0.3819296956062317,
|
| 1355 |
+
"eval_precision": 0.8059281073446327,
|
| 1356 |
+
"eval_recall": 0.884,
|
| 1357 |
+
"eval_runtime": 6.0267,
|
| 1358 |
+
"eval_samples_per_second": 248.894,
|
| 1359 |
+
"eval_steps_per_second": 7.799,
|
| 1360 |
+
"step": 2100
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 11.22,
|
| 1364 |
+
"learning_rate": 0.00010530000000000001,
|
| 1365 |
+
"loss": 0.3117,
|
| 1366 |
+
"step": 2110
|
| 1367 |
+
},
|
| 1368 |
+
{
|
| 1369 |
+
"epoch": 11.28,
|
| 1370 |
+
"learning_rate": 0.00010580000000000001,
|
| 1371 |
+
"loss": 0.4548,
|
| 1372 |
+
"step": 2120
|
| 1373 |
+
},
|
| 1374 |
+
{
|
| 1375 |
+
"epoch": 11.33,
|
| 1376 |
+
"learning_rate": 0.00010630000000000001,
|
| 1377 |
+
"loss": 0.484,
|
| 1378 |
+
"step": 2130
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 11.38,
|
| 1382 |
+
"learning_rate": 0.00010680000000000001,
|
| 1383 |
+
"loss": 0.4479,
|
| 1384 |
+
"step": 2140
|
| 1385 |
+
},
|
| 1386 |
+
{
|
| 1387 |
+
"epoch": 11.44,
|
| 1388 |
+
"learning_rate": 0.0001073,
|
| 1389 |
+
"loss": 0.3099,
|
| 1390 |
+
"step": 2150
|
| 1391 |
+
},
|
| 1392 |
+
{
|
| 1393 |
+
"epoch": 11.49,
|
| 1394 |
+
"learning_rate": 0.0001078,
|
| 1395 |
+
"loss": 0.4728,
|
| 1396 |
+
"step": 2160
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 11.54,
|
| 1400 |
+
"learning_rate": 0.00010829999999999999,
|
| 1401 |
+
"loss": 0.5189,
|
| 1402 |
+
"step": 2170
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 11.6,
|
| 1406 |
+
"learning_rate": 0.0001088,
|
| 1407 |
+
"loss": 0.5615,
|
| 1408 |
+
"step": 2180
|
| 1409 |
+
},
|
| 1410 |
+
{
|
| 1411 |
+
"epoch": 11.65,
|
| 1412 |
+
"learning_rate": 0.0001093,
|
| 1413 |
+
"loss": 0.536,
|
| 1414 |
+
"step": 2190
|
| 1415 |
+
},
|
| 1416 |
+
{
|
| 1417 |
+
"epoch": 11.7,
|
| 1418 |
+
"learning_rate": 0.0001098,
|
| 1419 |
+
"loss": 0.4329,
|
| 1420 |
+
"step": 2200
|
| 1421 |
+
},
|
| 1422 |
+
{
|
| 1423 |
+
"epoch": 11.76,
|
| 1424 |
+
"learning_rate": 0.0001103,
|
| 1425 |
+
"loss": 0.2304,
|
| 1426 |
+
"step": 2210
|
| 1427 |
+
},
|
| 1428 |
+
{
|
| 1429 |
+
"epoch": 11.81,
|
| 1430 |
+
"learning_rate": 0.0001108,
|
| 1431 |
+
"loss": 0.5139,
|
| 1432 |
+
"step": 2220
|
| 1433 |
+
},
|
| 1434 |
+
{
|
| 1435 |
+
"epoch": 11.86,
|
| 1436 |
+
"learning_rate": 0.0001113,
|
| 1437 |
+
"loss": 0.3353,
|
| 1438 |
+
"step": 2230
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 11.91,
|
| 1442 |
+
"learning_rate": 0.0001118,
|
| 1443 |
+
"loss": 0.7493,
|
| 1444 |
+
"step": 2240
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 11.97,
|
| 1448 |
+
"learning_rate": 0.0001123,
|
| 1449 |
+
"loss": 1.0483,
|
| 1450 |
+
"step": 2250
|
| 1451 |
+
},
|
| 1452 |
+
{
|
| 1453 |
+
"epoch": 12.02,
|
| 1454 |
+
"learning_rate": 0.0001128,
|
| 1455 |
+
"loss": 0.5422,
|
| 1456 |
+
"step": 2260
|
| 1457 |
+
},
|
| 1458 |
+
{
|
| 1459 |
+
"epoch": 12.07,
|
| 1460 |
+
"learning_rate": 0.0001133,
|
| 1461 |
+
"loss": 0.771,
|
| 1462 |
+
"step": 2270
|
| 1463 |
+
},
|
| 1464 |
+
{
|
| 1465 |
+
"epoch": 12.13,
|
| 1466 |
+
"learning_rate": 0.0001138,
|
| 1467 |
+
"loss": 0.841,
|
| 1468 |
+
"step": 2280
|
| 1469 |
+
},
|
| 1470 |
+
{
|
| 1471 |
+
"epoch": 12.18,
|
| 1472 |
+
"learning_rate": 0.0001143,
|
| 1473 |
+
"loss": 0.7316,
|
| 1474 |
+
"step": 2290
|
| 1475 |
+
},
|
| 1476 |
+
{
|
| 1477 |
+
"epoch": 12.23,
|
| 1478 |
+
"learning_rate": 0.0001148,
|
| 1479 |
+
"loss": 0.7394,
|
| 1480 |
+
"step": 2300
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 12.29,
|
| 1484 |
+
"learning_rate": 0.0001153,
|
| 1485 |
+
"loss": 0.7084,
|
| 1486 |
+
"step": 2310
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 12.34,
|
| 1490 |
+
"learning_rate": 0.0001158,
|
| 1491 |
+
"loss": 0.8033,
|
| 1492 |
+
"step": 2320
|
| 1493 |
+
},
|
| 1494 |
+
{
|
| 1495 |
+
"epoch": 12.39,
|
| 1496 |
+
"learning_rate": 0.00011630000000000001,
|
| 1497 |
+
"loss": 0.6616,
|
| 1498 |
+
"step": 2330
|
| 1499 |
+
},
|
| 1500 |
+
{
|
| 1501 |
+
"epoch": 12.45,
|
| 1502 |
+
"learning_rate": 0.0001168,
|
| 1503 |
+
"loss": 0.7601,
|
| 1504 |
+
"step": 2340
|
| 1505 |
+
},
|
| 1506 |
+
{
|
| 1507 |
+
"epoch": 12.5,
|
| 1508 |
+
"learning_rate": 0.0001173,
|
| 1509 |
+
"loss": 0.7986,
|
| 1510 |
+
"step": 2350
|
| 1511 |
+
},
|
| 1512 |
+
{
|
| 1513 |
+
"epoch": 12.55,
|
| 1514 |
+
"learning_rate": 0.0001178,
|
| 1515 |
+
"loss": 0.673,
|
| 1516 |
+
"step": 2360
|
| 1517 |
+
},
|
| 1518 |
+
{
|
| 1519 |
+
"epoch": 12.61,
|
| 1520 |
+
"learning_rate": 0.0001183,
|
| 1521 |
+
"loss": 0.6354,
|
| 1522 |
+
"step": 2370
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 12.66,
|
| 1526 |
+
"learning_rate": 0.0001188,
|
| 1527 |
+
"loss": 0.617,
|
| 1528 |
+
"step": 2380
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 12.71,
|
| 1532 |
+
"learning_rate": 0.0001193,
|
| 1533 |
+
"loss": 0.5532,
|
| 1534 |
+
"step": 2390
|
| 1535 |
+
},
|
| 1536 |
+
{
|
| 1537 |
+
"epoch": 12.77,
|
| 1538 |
+
"learning_rate": 0.00011980000000000001,
|
| 1539 |
+
"loss": 0.5048,
|
| 1540 |
+
"step": 2400
|
| 1541 |
+
},
|
| 1542 |
+
{
|
| 1543 |
+
"epoch": 12.77,
|
| 1544 |
+
"eval_accuracy": 0.7386666666666667,
|
| 1545 |
+
"eval_combined_score": 0.6626504648943422,
|
| 1546 |
+
"eval_f1": 0.6276400817995911,
|
| 1547 |
+
"eval_loss": 0.6582097411155701,
|
| 1548 |
+
"eval_precision": 0.5456284444444445,
|
| 1549 |
+
"eval_recall": 0.7386666666666667,
|
| 1550 |
+
"eval_runtime": 5.7153,
|
| 1551 |
+
"eval_samples_per_second": 262.451,
|
| 1552 |
+
"eval_steps_per_second": 8.223,
|
| 1553 |
+
"step": 2400
|
| 1554 |
+
},
|
| 1555 |
+
{
|
| 1556 |
+
"epoch": 12.82,
|
| 1557 |
+
"learning_rate": 0.00012030000000000001,
|
| 1558 |
+
"loss": 0.7655,
|
| 1559 |
+
"step": 2410
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"epoch": 12.87,
|
| 1563 |
+
"learning_rate": 0.00012080000000000001,
|
| 1564 |
+
"loss": 0.5875,
|
| 1565 |
+
"step": 2420
|
| 1566 |
+
},
|
| 1567 |
+
{
|
| 1568 |
+
"epoch": 12.93,
|
| 1569 |
+
"learning_rate": 0.00012130000000000001,
|
| 1570 |
+
"loss": 0.6008,
|
| 1571 |
+
"step": 2430
|
| 1572 |
+
},
|
| 1573 |
+
{
|
| 1574 |
+
"epoch": 12.98,
|
| 1575 |
+
"learning_rate": 0.0001218,
|
| 1576 |
+
"loss": 0.612,
|
| 1577 |
+
"step": 2440
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 13.03,
|
| 1581 |
+
"learning_rate": 0.00012230000000000002,
|
| 1582 |
+
"loss": 0.6436,
|
| 1583 |
+
"step": 2450
|
| 1584 |
+
},
|
| 1585 |
+
{
|
| 1586 |
+
"epoch": 13.09,
|
| 1587 |
+
"learning_rate": 0.00012275,
|
| 1588 |
+
"loss": 0.3595,
|
| 1589 |
+
"step": 2460
|
| 1590 |
+
},
|
| 1591 |
+
{
|
| 1592 |
+
"epoch": 13.14,
|
| 1593 |
+
"learning_rate": 0.00012325000000000001,
|
| 1594 |
+
"loss": 0.4373,
|
| 1595 |
+
"step": 2470
|
| 1596 |
+
},
|
| 1597 |
+
{
|
| 1598 |
+
"epoch": 13.19,
|
| 1599 |
+
"learning_rate": 0.00012375,
|
| 1600 |
+
"loss": 0.8131,
|
| 1601 |
+
"step": 2480
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 13.24,
|
| 1605 |
+
"learning_rate": 0.00012425,
|
| 1606 |
+
"loss": 0.7109,
|
| 1607 |
+
"step": 2490
|
| 1608 |
+
},
|
| 1609 |
+
{
|
| 1610 |
+
"epoch": 13.3,
|
| 1611 |
+
"learning_rate": 0.00012475,
|
| 1612 |
+
"loss": 0.5552,
|
| 1613 |
+
"step": 2500
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 13.35,
|
| 1617 |
+
"learning_rate": 0.00012525,
|
| 1618 |
+
"loss": 0.4912,
|
| 1619 |
+
"step": 2510
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 13.4,
|
| 1623 |
+
"learning_rate": 0.00012575,
|
| 1624 |
+
"loss": 0.5125,
|
| 1625 |
+
"step": 2520
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 13.46,
|
| 1629 |
+
"learning_rate": 0.00012625,
|
| 1630 |
+
"loss": 0.5537,
|
| 1631 |
+
"step": 2530
|
| 1632 |
+
},
|
| 1633 |
+
{
|
| 1634 |
+
"epoch": 13.51,
|
| 1635 |
+
"learning_rate": 0.00012675,
|
| 1636 |
+
"loss": 0.6721,
|
| 1637 |
+
"step": 2540
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"epoch": 13.56,
|
| 1641 |
+
"learning_rate": 0.00012725,
|
| 1642 |
+
"loss": 0.5703,
|
| 1643 |
+
"step": 2550
|
| 1644 |
+
},
|
| 1645 |
+
{
|
| 1646 |
+
"epoch": 13.62,
|
| 1647 |
+
"learning_rate": 0.00012775000000000002,
|
| 1648 |
+
"loss": 0.4654,
|
| 1649 |
+
"step": 2560
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"epoch": 13.67,
|
| 1653 |
+
"learning_rate": 0.00012825,
|
| 1654 |
+
"loss": 0.4402,
|
| 1655 |
+
"step": 2570
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 13.72,
|
| 1659 |
+
"learning_rate": 0.00012875,
|
| 1660 |
+
"loss": 0.4534,
|
| 1661 |
+
"step": 2580
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 13.78,
|
| 1665 |
+
"learning_rate": 0.00012925,
|
| 1666 |
+
"loss": 0.5178,
|
| 1667 |
+
"step": 2590
|
| 1668 |
+
},
|
| 1669 |
+
{
|
| 1670 |
+
"epoch": 13.83,
|
| 1671 |
+
"learning_rate": 0.00012975,
|
| 1672 |
+
"loss": 0.5167,
|
| 1673 |
+
"step": 2600
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 13.88,
|
| 1677 |
+
"learning_rate": 0.00013025,
|
| 1678 |
+
"loss": 0.4782,
|
| 1679 |
+
"step": 2610
|
| 1680 |
+
},
|
| 1681 |
+
{
|
| 1682 |
+
"epoch": 13.94,
|
| 1683 |
+
"learning_rate": 0.00013075,
|
| 1684 |
+
"loss": 0.4171,
|
| 1685 |
+
"step": 2620
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 13.99,
|
| 1689 |
+
"learning_rate": 0.00013125000000000002,
|
| 1690 |
+
"loss": 0.3338,
|
| 1691 |
+
"step": 2630
|
| 1692 |
+
},
|
| 1693 |
+
{
|
| 1694 |
+
"epoch": 14.04,
|
| 1695 |
+
"learning_rate": 0.00013175,
|
| 1696 |
+
"loss": 0.523,
|
| 1697 |
+
"step": 2640
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 14.1,
|
| 1701 |
+
"learning_rate": 0.00013225000000000002,
|
| 1702 |
+
"loss": 0.5211,
|
| 1703 |
+
"step": 2650
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 14.15,
|
| 1707 |
+
"learning_rate": 0.00013275,
|
| 1708 |
+
"loss": 0.3958,
|
| 1709 |
+
"step": 2660
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"epoch": 14.2,
|
| 1713 |
+
"learning_rate": 0.00013325,
|
| 1714 |
+
"loss": 0.3883,
|
| 1715 |
+
"step": 2670
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 14.26,
|
| 1719 |
+
"learning_rate": 0.00013375,
|
| 1720 |
+
"loss": 0.466,
|
| 1721 |
+
"step": 2680
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 14.31,
|
| 1725 |
+
"learning_rate": 0.00013425,
|
| 1726 |
+
"loss": 0.563,
|
| 1727 |
+
"step": 2690
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"epoch": 14.36,
|
| 1731 |
+
"learning_rate": 0.00013475000000000002,
|
| 1732 |
+
"loss": 0.6435,
|
| 1733 |
+
"step": 2700
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"epoch": 14.36,
|
| 1737 |
+
"eval_accuracy": 0.8466666666666667,
|
| 1738 |
+
"eval_combined_score": 0.820593120110759,
|
| 1739 |
+
"eval_f1": 0.8092415776379762,
|
| 1740 |
+
"eval_loss": 0.5365216135978699,
|
| 1741 |
+
"eval_precision": 0.7797975694717267,
|
| 1742 |
+
"eval_recall": 0.8466666666666667,
|
| 1743 |
+
"eval_runtime": 5.7927,
|
| 1744 |
+
"eval_samples_per_second": 258.944,
|
| 1745 |
+
"eval_steps_per_second": 8.114,
|
| 1746 |
+
"step": 2700
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 14.41,
|
| 1750 |
+
"learning_rate": 0.00013525,
|
| 1751 |
+
"loss": 0.4351,
|
| 1752 |
+
"step": 2710
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 14.47,
|
| 1756 |
+
"learning_rate": 0.00013575000000000002,
|
| 1757 |
+
"loss": 0.9678,
|
| 1758 |
+
"step": 2720
|
| 1759 |
+
},
|
| 1760 |
+
{
|
| 1761 |
+
"epoch": 14.52,
|
| 1762 |
+
"learning_rate": 0.00013625,
|
| 1763 |
+
"loss": 0.3769,
|
| 1764 |
+
"step": 2730
|
| 1765 |
+
},
|
| 1766 |
+
{
|
| 1767 |
+
"epoch": 14.57,
|
| 1768 |
+
"learning_rate": 0.00013675000000000002,
|
| 1769 |
+
"loss": 0.6706,
|
| 1770 |
+
"step": 2740
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"epoch": 14.63,
|
| 1774 |
+
"learning_rate": 0.00013725,
|
| 1775 |
+
"loss": 0.6711,
|
| 1776 |
+
"step": 2750
|
| 1777 |
+
},
|
| 1778 |
+
{
|
| 1779 |
+
"epoch": 14.68,
|
| 1780 |
+
"learning_rate": 0.00013775000000000001,
|
| 1781 |
+
"loss": 0.5355,
|
| 1782 |
+
"step": 2760
|
| 1783 |
+
},
|
| 1784 |
+
{
|
| 1785 |
+
"epoch": 14.73,
|
| 1786 |
+
"learning_rate": 0.00013825000000000003,
|
| 1787 |
+
"loss": 0.6193,
|
| 1788 |
+
"step": 2770
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 14.79,
|
| 1792 |
+
"learning_rate": 0.00013875,
|
| 1793 |
+
"loss": 0.6431,
|
| 1794 |
+
"step": 2780
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 14.84,
|
| 1798 |
+
"learning_rate": 0.00013925000000000002,
|
| 1799 |
+
"loss": 0.6239,
|
| 1800 |
+
"step": 2790
|
| 1801 |
+
},
|
| 1802 |
+
{
|
| 1803 |
+
"epoch": 14.89,
|
| 1804 |
+
"learning_rate": 0.00013975,
|
| 1805 |
+
"loss": 0.4647,
|
| 1806 |
+
"step": 2800
|
| 1807 |
+
},
|
| 1808 |
+
{
|
| 1809 |
+
"epoch": 14.95,
|
| 1810 |
+
"learning_rate": 0.00014025000000000002,
|
| 1811 |
+
"loss": 0.2059,
|
| 1812 |
+
"step": 2810
|
| 1813 |
+
},
|
| 1814 |
+
{
|
| 1815 |
+
"epoch": 15.0,
|
| 1816 |
+
"learning_rate": 0.00014074999999999998,
|
| 1817 |
+
"loss": 0.6128,
|
| 1818 |
+
"step": 2820
|
| 1819 |
+
},
|
| 1820 |
+
{
|
| 1821 |
+
"epoch": 15.05,
|
| 1822 |
+
"learning_rate": 0.00014125,
|
| 1823 |
+
"loss": 0.9306,
|
| 1824 |
+
"step": 2830
|
| 1825 |
+
},
|
| 1826 |
+
{
|
| 1827 |
+
"epoch": 15.11,
|
| 1828 |
+
"learning_rate": 0.00014175,
|
| 1829 |
+
"loss": 0.4907,
|
| 1830 |
+
"step": 2840
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 15.16,
|
| 1834 |
+
"learning_rate": 0.00014225,
|
| 1835 |
+
"loss": 0.4597,
|
| 1836 |
+
"step": 2850
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 15.21,
|
| 1840 |
+
"learning_rate": 0.00014275,
|
| 1841 |
+
"loss": 0.7004,
|
| 1842 |
+
"step": 2860
|
| 1843 |
+
},
|
| 1844 |
+
{
|
| 1845 |
+
"epoch": 15.27,
|
| 1846 |
+
"learning_rate": 0.00014324999999999999,
|
| 1847 |
+
"loss": 0.4713,
|
| 1848 |
+
"step": 2870
|
| 1849 |
+
},
|
| 1850 |
+
{
|
| 1851 |
+
"epoch": 15.32,
|
| 1852 |
+
"learning_rate": 0.00014375,
|
| 1853 |
+
"loss": 0.5127,
|
| 1854 |
+
"step": 2880
|
| 1855 |
+
},
|
| 1856 |
+
{
|
| 1857 |
+
"epoch": 15.37,
|
| 1858 |
+
"learning_rate": 0.00014424999999999998,
|
| 1859 |
+
"loss": 0.7406,
|
| 1860 |
+
"step": 2890
|
| 1861 |
+
},
|
| 1862 |
+
{
|
| 1863 |
+
"epoch": 15.43,
|
| 1864 |
+
"learning_rate": 0.00014475,
|
| 1865 |
+
"loss": 0.5231,
|
| 1866 |
+
"step": 2900
|
| 1867 |
+
},
|
| 1868 |
+
{
|
| 1869 |
+
"epoch": 15.48,
|
| 1870 |
+
"learning_rate": 0.00014524999999999998,
|
| 1871 |
+
"loss": 0.5013,
|
| 1872 |
+
"step": 2910
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"epoch": 15.53,
|
| 1876 |
+
"learning_rate": 0.00014575,
|
| 1877 |
+
"loss": 0.4772,
|
| 1878 |
+
"step": 2920
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 15.59,
|
| 1882 |
+
"learning_rate": 0.00014625,
|
| 1883 |
+
"loss": 0.5269,
|
| 1884 |
+
"step": 2930
|
| 1885 |
+
},
|
| 1886 |
+
{
|
| 1887 |
+
"epoch": 15.64,
|
| 1888 |
+
"learning_rate": 0.00014675,
|
| 1889 |
+
"loss": 0.7292,
|
| 1890 |
+
"step": 2940
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"epoch": 15.69,
|
| 1894 |
+
"learning_rate": 0.00014725,
|
| 1895 |
+
"loss": 0.5534,
|
| 1896 |
+
"step": 2950
|
| 1897 |
+
},
|
| 1898 |
+
{
|
| 1899 |
+
"epoch": 15.74,
|
| 1900 |
+
"learning_rate": 0.00014774999999999999,
|
| 1901 |
+
"loss": 0.7513,
|
| 1902 |
+
"step": 2960
|
| 1903 |
+
},
|
| 1904 |
+
{
|
| 1905 |
+
"epoch": 15.8,
|
| 1906 |
+
"learning_rate": 0.00014825,
|
| 1907 |
+
"loss": 0.661,
|
| 1908 |
+
"step": 2970
|
| 1909 |
+
},
|
| 1910 |
+
{
|
| 1911 |
+
"epoch": 15.85,
|
| 1912 |
+
"learning_rate": 0.00014874999999999998,
|
| 1913 |
+
"loss": 0.8045,
|
| 1914 |
+
"step": 2980
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 15.9,
|
| 1918 |
+
"learning_rate": 0.00014925,
|
| 1919 |
+
"loss": 0.8469,
|
| 1920 |
+
"step": 2990
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 15.96,
|
| 1924 |
+
"learning_rate": 0.00014975,
|
| 1925 |
+
"loss": 0.9304,
|
| 1926 |
+
"step": 3000
|
| 1927 |
+
},
|
| 1928 |
+
{
|
| 1929 |
+
"epoch": 15.96,
|
| 1930 |
+
"eval_accuracy": 0.7386666666666667,
|
| 1931 |
+
"eval_combined_score": 0.6841020585693436,
|
| 1932 |
+
"eval_f1": 0.6288777491861415,
|
| 1933 |
+
"eval_loss": 0.757703959941864,
|
| 1934 |
+
"eval_precision": 0.6301971517578995,
|
| 1935 |
+
"eval_recall": 0.7386666666666667,
|
| 1936 |
+
"eval_runtime": 5.7335,
|
| 1937 |
+
"eval_samples_per_second": 261.622,
|
| 1938 |
+
"eval_steps_per_second": 8.197,
|
| 1939 |
+
"step": 3000
|
| 1940 |
+
},
|
| 1941 |
+
{
|
| 1942 |
+
"epoch": 16.01,
|
| 1943 |
+
"learning_rate": 0.00015025,
|
| 1944 |
+
"loss": 0.6005,
|
| 1945 |
+
"step": 3010
|
| 1946 |
+
},
|
| 1947 |
+
{
|
| 1948 |
+
"epoch": 16.06,
|
| 1949 |
+
"learning_rate": 0.00015075,
|
| 1950 |
+
"loss": 0.9853,
|
| 1951 |
+
"step": 3020
|
| 1952 |
+
},
|
| 1953 |
+
{
|
| 1954 |
+
"epoch": 16.12,
|
| 1955 |
+
"learning_rate": 0.00015125,
|
| 1956 |
+
"loss": 0.9841,
|
| 1957 |
+
"step": 3030
|
| 1958 |
+
},
|
| 1959 |
+
{
|
| 1960 |
+
"epoch": 16.17,
|
| 1961 |
+
"learning_rate": 0.00015175,
|
| 1962 |
+
"loss": 0.8429,
|
| 1963 |
+
"step": 3040
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"epoch": 16.22,
|
| 1967 |
+
"learning_rate": 0.00015225,
|
| 1968 |
+
"loss": 0.5311,
|
| 1969 |
+
"step": 3050
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 16.28,
|
| 1973 |
+
"learning_rate": 0.00015275,
|
| 1974 |
+
"loss": 0.8929,
|
| 1975 |
+
"step": 3060
|
| 1976 |
+
},
|
| 1977 |
+
{
|
| 1978 |
+
"epoch": 16.33,
|
| 1979 |
+
"learning_rate": 0.00015325,
|
| 1980 |
+
"loss": 0.6568,
|
| 1981 |
+
"step": 3070
|
| 1982 |
+
},
|
| 1983 |
+
{
|
| 1984 |
+
"epoch": 16.38,
|
| 1985 |
+
"learning_rate": 0.00015375,
|
| 1986 |
+
"loss": 0.7808,
|
| 1987 |
+
"step": 3080
|
| 1988 |
+
},
|
| 1989 |
+
{
|
| 1990 |
+
"epoch": 16.44,
|
| 1991 |
+
"learning_rate": 0.00015425,
|
| 1992 |
+
"loss": 0.8071,
|
| 1993 |
+
"step": 3090
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"epoch": 16.49,
|
| 1997 |
+
"learning_rate": 0.00015475,
|
| 1998 |
+
"loss": 0.6082,
|
| 1999 |
+
"step": 3100
|
| 2000 |
+
},
|
| 2001 |
+
{
|
| 2002 |
+
"epoch": 16.54,
|
| 2003 |
+
"learning_rate": 0.00015525,
|
| 2004 |
+
"loss": 0.8183,
|
| 2005 |
+
"step": 3110
|
| 2006 |
+
},
|
| 2007 |
+
{
|
| 2008 |
+
"epoch": 16.6,
|
| 2009 |
+
"learning_rate": 0.00015575,
|
| 2010 |
+
"loss": 0.8457,
|
| 2011 |
+
"step": 3120
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 16.65,
|
| 2015 |
+
"learning_rate": 0.00015625,
|
| 2016 |
+
"loss": 0.8111,
|
| 2017 |
+
"step": 3130
|
| 2018 |
+
},
|
| 2019 |
+
{
|
| 2020 |
+
"epoch": 16.7,
|
| 2021 |
+
"learning_rate": 0.00015675000000000002,
|
| 2022 |
+
"loss": 0.8024,
|
| 2023 |
+
"step": 3140
|
| 2024 |
+
},
|
| 2025 |
+
{
|
| 2026 |
+
"epoch": 16.76,
|
| 2027 |
+
"learning_rate": 0.00015725,
|
| 2028 |
+
"loss": 0.5843,
|
| 2029 |
+
"step": 3150
|
| 2030 |
+
},
|
| 2031 |
+
{
|
| 2032 |
+
"epoch": 16.81,
|
| 2033 |
+
"learning_rate": 0.00015775,
|
| 2034 |
+
"loss": 0.7493,
|
| 2035 |
+
"step": 3160
|
| 2036 |
+
},
|
| 2037 |
+
{
|
| 2038 |
+
"epoch": 16.86,
|
| 2039 |
+
"learning_rate": 0.00015825,
|
| 2040 |
+
"loss": 0.6283,
|
| 2041 |
+
"step": 3170
|
| 2042 |
+
},
|
| 2043 |
+
{
|
| 2044 |
+
"epoch": 16.91,
|
| 2045 |
+
"learning_rate": 0.00015875,
|
| 2046 |
+
"loss": 0.7267,
|
| 2047 |
+
"step": 3180
|
| 2048 |
+
},
|
| 2049 |
+
{
|
| 2050 |
+
"epoch": 16.97,
|
| 2051 |
+
"learning_rate": 0.00015925,
|
| 2052 |
+
"loss": 0.8913,
|
| 2053 |
+
"step": 3190
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 17.02,
|
| 2057 |
+
"learning_rate": 0.00015975,
|
| 2058 |
+
"loss": 0.8809,
|
| 2059 |
+
"step": 3200
|
| 2060 |
+
},
|
| 2061 |
+
{
|
| 2062 |
+
"epoch": 17.07,
|
| 2063 |
+
"learning_rate": 0.00016025000000000002,
|
| 2064 |
+
"loss": 0.7423,
|
| 2065 |
+
"step": 3210
|
| 2066 |
+
},
|
| 2067 |
+
{
|
| 2068 |
+
"epoch": 17.13,
|
| 2069 |
+
"learning_rate": 0.00016075,
|
| 2070 |
+
"loss": 0.7022,
|
| 2071 |
+
"step": 3220
|
| 2072 |
+
},
|
| 2073 |
+
{
|
| 2074 |
+
"epoch": 17.18,
|
| 2075 |
+
"learning_rate": 0.00016125000000000002,
|
| 2076 |
+
"loss": 0.672,
|
| 2077 |
+
"step": 3230
|
| 2078 |
+
},
|
| 2079 |
+
{
|
| 2080 |
+
"epoch": 17.23,
|
| 2081 |
+
"learning_rate": 0.00016175,
|
| 2082 |
+
"loss": 0.7071,
|
| 2083 |
+
"step": 3240
|
| 2084 |
+
},
|
| 2085 |
+
{
|
| 2086 |
+
"epoch": 17.29,
|
| 2087 |
+
"learning_rate": 0.00016225000000000001,
|
| 2088 |
+
"loss": 0.7613,
|
| 2089 |
+
"step": 3250
|
| 2090 |
+
},
|
| 2091 |
+
{
|
| 2092 |
+
"epoch": 17.34,
|
| 2093 |
+
"learning_rate": 0.00016275,
|
| 2094 |
+
"loss": 0.7014,
|
| 2095 |
+
"step": 3260
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 17.39,
|
| 2099 |
+
"learning_rate": 0.00016325,
|
| 2100 |
+
"loss": 0.7322,
|
| 2101 |
+
"step": 3270
|
| 2102 |
+
},
|
| 2103 |
+
{
|
| 2104 |
+
"epoch": 17.45,
|
| 2105 |
+
"learning_rate": 0.00016375000000000002,
|
| 2106 |
+
"loss": 0.8469,
|
| 2107 |
+
"step": 3280
|
| 2108 |
+
},
|
| 2109 |
+
{
|
| 2110 |
+
"epoch": 17.5,
|
| 2111 |
+
"learning_rate": 0.00016425,
|
| 2112 |
+
"loss": 0.647,
|
| 2113 |
+
"step": 3290
|
| 2114 |
+
},
|
| 2115 |
+
{
|
| 2116 |
+
"epoch": 17.55,
|
| 2117 |
+
"learning_rate": 0.00016475000000000002,
|
| 2118 |
+
"loss": 0.7902,
|
| 2119 |
+
"step": 3300
|
| 2120 |
+
},
|
| 2121 |
+
{
|
| 2122 |
+
"epoch": 17.55,
|
| 2123 |
+
"eval_accuracy": 0.7386666666666667,
|
| 2124 |
+
"eval_combined_score": 0.6841020585693436,
|
| 2125 |
+
"eval_f1": 0.6288777491861415,
|
| 2126 |
+
"eval_loss": 0.7684083580970764,
|
| 2127 |
+
"eval_precision": 0.6301971517578995,
|
| 2128 |
+
"eval_recall": 0.7386666666666667,
|
| 2129 |
+
"eval_runtime": 5.6811,
|
| 2130 |
+
"eval_samples_per_second": 264.032,
|
| 2131 |
+
"eval_steps_per_second": 8.273,
|
| 2132 |
+
"step": 3300
|
| 2133 |
+
},
|
| 2134 |
+
{
|
| 2135 |
+
"epoch": 17.61,
|
| 2136 |
+
"learning_rate": 0.00016525,
|
| 2137 |
+
"loss": 0.7717,
|
| 2138 |
+
"step": 3310
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 17.66,
|
| 2142 |
+
"learning_rate": 0.00016575000000000002,
|
| 2143 |
+
"loss": 0.8894,
|
| 2144 |
+
"step": 3320
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 17.71,
|
| 2148 |
+
"learning_rate": 0.00016625,
|
| 2149 |
+
"loss": 0.9062,
|
| 2150 |
+
"step": 3330
|
| 2151 |
+
},
|
| 2152 |
+
{
|
| 2153 |
+
"epoch": 17.77,
|
| 2154 |
+
"learning_rate": 0.00016675000000000001,
|
| 2155 |
+
"loss": 0.755,
|
| 2156 |
+
"step": 3340
|
| 2157 |
+
},
|
| 2158 |
+
{
|
| 2159 |
+
"epoch": 17.82,
|
| 2160 |
+
"learning_rate": 0.00016725000000000003,
|
| 2161 |
+
"loss": 0.6708,
|
| 2162 |
+
"step": 3350
|
| 2163 |
+
},
|
| 2164 |
+
{
|
| 2165 |
+
"epoch": 17.87,
|
| 2166 |
+
"learning_rate": 0.00016775,
|
| 2167 |
+
"loss": 0.8674,
|
| 2168 |
+
"step": 3360
|
| 2169 |
+
},
|
| 2170 |
+
{
|
| 2171 |
+
"epoch": 17.93,
|
| 2172 |
+
"learning_rate": 0.00016825000000000002,
|
| 2173 |
+
"loss": 0.7541,
|
| 2174 |
+
"step": 3370
|
| 2175 |
+
},
|
| 2176 |
+
{
|
| 2177 |
+
"epoch": 17.98,
|
| 2178 |
+
"learning_rate": 0.00016875,
|
| 2179 |
+
"loss": 0.8417,
|
| 2180 |
+
"step": 3380
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"epoch": 18.03,
|
| 2184 |
+
"learning_rate": 0.00016925000000000002,
|
| 2185 |
+
"loss": 0.8044,
|
| 2186 |
+
"step": 3390
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 18.09,
|
| 2190 |
+
"learning_rate": 0.00016975,
|
| 2191 |
+
"loss": 0.7059,
|
| 2192 |
+
"step": 3400
|
| 2193 |
+
},
|
| 2194 |
+
{
|
| 2195 |
+
"epoch": 18.14,
|
| 2196 |
+
"learning_rate": 0.00017025000000000002,
|
| 2197 |
+
"loss": 0.7291,
|
| 2198 |
+
"step": 3410
|
| 2199 |
+
},
|
| 2200 |
+
{
|
| 2201 |
+
"epoch": 18.19,
|
| 2202 |
+
"learning_rate": 0.00017075,
|
| 2203 |
+
"loss": 0.8393,
|
| 2204 |
+
"step": 3420
|
| 2205 |
+
},
|
| 2206 |
+
{
|
| 2207 |
+
"epoch": 18.24,
|
| 2208 |
+
"learning_rate": 0.00017125000000000002,
|
| 2209 |
+
"loss": 0.6944,
|
| 2210 |
+
"step": 3430
|
| 2211 |
+
},
|
| 2212 |
+
{
|
| 2213 |
+
"epoch": 18.3,
|
| 2214 |
+
"learning_rate": 0.00017175000000000003,
|
| 2215 |
+
"loss": 0.7587,
|
| 2216 |
+
"step": 3440
|
| 2217 |
+
},
|
| 2218 |
+
{
|
| 2219 |
+
"epoch": 18.35,
|
| 2220 |
+
"learning_rate": 0.00017224999999999999,
|
| 2221 |
+
"loss": 0.8562,
|
| 2222 |
+
"step": 3450
|
| 2223 |
+
},
|
| 2224 |
+
{
|
| 2225 |
+
"epoch": 18.4,
|
| 2226 |
+
"learning_rate": 0.00017275,
|
| 2227 |
+
"loss": 0.8328,
|
| 2228 |
+
"step": 3460
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 18.46,
|
| 2232 |
+
"learning_rate": 0.00017324999999999998,
|
| 2233 |
+
"loss": 0.7379,
|
| 2234 |
+
"step": 3470
|
| 2235 |
+
},
|
| 2236 |
+
{
|
| 2237 |
+
"epoch": 18.51,
|
| 2238 |
+
"learning_rate": 0.00017375,
|
| 2239 |
+
"loss": 0.8784,
|
| 2240 |
+
"step": 3480
|
| 2241 |
+
},
|
| 2242 |
+
{
|
| 2243 |
+
"epoch": 18.56,
|
| 2244 |
+
"learning_rate": 0.00017424999999999998,
|
| 2245 |
+
"loss": 0.8329,
|
| 2246 |
+
"step": 3490
|
| 2247 |
+
},
|
| 2248 |
+
{
|
| 2249 |
+
"epoch": 18.62,
|
| 2250 |
+
"learning_rate": 0.00017475,
|
| 2251 |
+
"loss": 0.6559,
|
| 2252 |
+
"step": 3500
|
| 2253 |
+
},
|
| 2254 |
+
{
|
| 2255 |
+
"epoch": 18.67,
|
| 2256 |
+
"learning_rate": 0.00017525,
|
| 2257 |
+
"loss": 0.8082,
|
| 2258 |
+
"step": 3510
|
| 2259 |
+
},
|
| 2260 |
+
{
|
| 2261 |
+
"epoch": 18.72,
|
| 2262 |
+
"learning_rate": 0.00017575,
|
| 2263 |
+
"loss": 0.7626,
|
| 2264 |
+
"step": 3520
|
| 2265 |
+
},
|
| 2266 |
+
{
|
| 2267 |
+
"epoch": 18.78,
|
| 2268 |
+
"learning_rate": 0.00017625,
|
| 2269 |
+
"loss": 0.7877,
|
| 2270 |
+
"step": 3530
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 18.83,
|
| 2274 |
+
"learning_rate": 0.00017675,
|
| 2275 |
+
"loss": 0.7847,
|
| 2276 |
+
"step": 3540
|
| 2277 |
+
},
|
| 2278 |
+
{
|
| 2279 |
+
"epoch": 18.88,
|
| 2280 |
+
"learning_rate": 0.00017725,
|
| 2281 |
+
"loss": 0.5692,
|
| 2282 |
+
"step": 3550
|
| 2283 |
+
},
|
| 2284 |
+
{
|
| 2285 |
+
"epoch": 18.94,
|
| 2286 |
+
"learning_rate": 0.00017774999999999998,
|
| 2287 |
+
"loss": 0.8115,
|
| 2288 |
+
"step": 3560
|
| 2289 |
+
},
|
| 2290 |
+
{
|
| 2291 |
+
"epoch": 18.99,
|
| 2292 |
+
"learning_rate": 0.00017825,
|
| 2293 |
+
"loss": 0.7631,
|
| 2294 |
+
"step": 3570
|
| 2295 |
+
},
|
| 2296 |
+
{
|
| 2297 |
+
"epoch": 19.04,
|
| 2298 |
+
"learning_rate": 0.00017875,
|
| 2299 |
+
"loss": 0.7847,
|
| 2300 |
+
"step": 3580
|
| 2301 |
+
},
|
| 2302 |
+
{
|
| 2303 |
+
"epoch": 19.1,
|
| 2304 |
+
"learning_rate": 0.00017925,
|
| 2305 |
+
"loss": 0.7622,
|
| 2306 |
+
"step": 3590
|
| 2307 |
+
},
|
| 2308 |
+
{
|
| 2309 |
+
"epoch": 19.15,
|
| 2310 |
+
"learning_rate": 0.00017975,
|
| 2311 |
+
"loss": 0.6364,
|
| 2312 |
+
"step": 3600
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 19.15,
|
| 2316 |
+
"eval_accuracy": 0.7386666666666667,
|
| 2317 |
+
"eval_combined_score": 0.6841020585693436,
|
| 2318 |
+
"eval_f1": 0.6288777491861415,
|
| 2319 |
+
"eval_loss": 0.7637550234794617,
|
| 2320 |
+
"eval_precision": 0.6301971517578995,
|
| 2321 |
+
"eval_recall": 0.7386666666666667,
|
| 2322 |
+
"eval_runtime": 5.9956,
|
| 2323 |
+
"eval_samples_per_second": 250.184,
|
| 2324 |
+
"eval_steps_per_second": 7.839,
|
| 2325 |
+
"step": 3600
|
| 2326 |
+
},
|
| 2327 |
+
{
|
| 2328 |
+
"epoch": 19.2,
|
| 2329 |
+
"learning_rate": 0.00018025,
|
| 2330 |
+
"loss": 0.8643,
|
| 2331 |
+
"step": 3610
|
| 2332 |
+
},
|
| 2333 |
+
{
|
| 2334 |
+
"epoch": 19.26,
|
| 2335 |
+
"learning_rate": 0.00018075,
|
| 2336 |
+
"loss": 0.656,
|
| 2337 |
+
"step": 3620
|
| 2338 |
+
},
|
| 2339 |
+
{
|
| 2340 |
+
"epoch": 19.31,
|
| 2341 |
+
"learning_rate": 0.00018125,
|
| 2342 |
+
"loss": 0.6252,
|
| 2343 |
+
"step": 3630
|
| 2344 |
+
},
|
| 2345 |
+
{
|
| 2346 |
+
"epoch": 19.36,
|
| 2347 |
+
"learning_rate": 0.00018175,
|
| 2348 |
+
"loss": 0.8049,
|
| 2349 |
+
"step": 3640
|
| 2350 |
+
},
|
| 2351 |
+
{
|
| 2352 |
+
"epoch": 19.41,
|
| 2353 |
+
"learning_rate": 0.00018225,
|
| 2354 |
+
"loss": 0.8622,
|
| 2355 |
+
"step": 3650
|
| 2356 |
+
},
|
| 2357 |
+
{
|
| 2358 |
+
"epoch": 19.47,
|
| 2359 |
+
"learning_rate": 0.00018275,
|
| 2360 |
+
"loss": 0.8585,
|
| 2361 |
+
"step": 3660
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 19.52,
|
| 2365 |
+
"learning_rate": 0.00018325,
|
| 2366 |
+
"loss": 0.7333,
|
| 2367 |
+
"step": 3670
|
| 2368 |
+
},
|
| 2369 |
+
{
|
| 2370 |
+
"epoch": 19.57,
|
| 2371 |
+
"learning_rate": 0.00018375,
|
| 2372 |
+
"loss": 0.7186,
|
| 2373 |
+
"step": 3680
|
| 2374 |
+
},
|
| 2375 |
+
{
|
| 2376 |
+
"epoch": 19.63,
|
| 2377 |
+
"learning_rate": 0.00018425,
|
| 2378 |
+
"loss": 0.7759,
|
| 2379 |
+
"step": 3690
|
| 2380 |
+
},
|
| 2381 |
+
{
|
| 2382 |
+
"epoch": 19.68,
|
| 2383 |
+
"learning_rate": 0.00018475,
|
| 2384 |
+
"loss": 0.7912,
|
| 2385 |
+
"step": 3700
|
| 2386 |
+
},
|
| 2387 |
+
{
|
| 2388 |
+
"epoch": 19.73,
|
| 2389 |
+
"learning_rate": 0.00018525,
|
| 2390 |
+
"loss": 0.8636,
|
| 2391 |
+
"step": 3710
|
| 2392 |
+
},
|
| 2393 |
+
{
|
| 2394 |
+
"epoch": 19.79,
|
| 2395 |
+
"learning_rate": 0.00018575000000000002,
|
| 2396 |
+
"loss": 0.8167,
|
| 2397 |
+
"step": 3720
|
| 2398 |
+
},
|
| 2399 |
+
{
|
| 2400 |
+
"epoch": 19.84,
|
| 2401 |
+
"learning_rate": 0.00018625,
|
| 2402 |
+
"loss": 0.5816,
|
| 2403 |
+
"step": 3730
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"epoch": 19.89,
|
| 2407 |
+
"learning_rate": 0.00018675,
|
| 2408 |
+
"loss": 0.8881,
|
| 2409 |
+
"step": 3740
|
| 2410 |
+
},
|
| 2411 |
+
{
|
| 2412 |
+
"epoch": 19.95,
|
| 2413 |
+
"learning_rate": 0.00018725,
|
| 2414 |
+
"loss": 0.8232,
|
| 2415 |
+
"step": 3750
|
| 2416 |
+
},
|
| 2417 |
+
{
|
| 2418 |
+
"epoch": 20.0,
|
| 2419 |
+
"learning_rate": 0.00018775,
|
| 2420 |
+
"loss": 0.7109,
|
| 2421 |
+
"step": 3760
|
| 2422 |
+
},
|
| 2423 |
+
{
|
| 2424 |
+
"epoch": 20.05,
|
| 2425 |
+
"learning_rate": 0.00018825,
|
| 2426 |
+
"loss": 0.8016,
|
| 2427 |
+
"step": 3770
|
| 2428 |
+
},
|
| 2429 |
+
{
|
| 2430 |
+
"epoch": 20.11,
|
| 2431 |
+
"learning_rate": 0.00018875,
|
| 2432 |
+
"loss": 0.6983,
|
| 2433 |
+
"step": 3780
|
| 2434 |
+
},
|
| 2435 |
+
{
|
| 2436 |
+
"epoch": 20.16,
|
| 2437 |
+
"learning_rate": 0.00018925,
|
| 2438 |
+
"loss": 0.9032,
|
| 2439 |
+
"step": 3790
|
| 2440 |
+
},
|
| 2441 |
+
{
|
| 2442 |
+
"epoch": 20.21,
|
| 2443 |
+
"learning_rate": 0.00018975,
|
| 2444 |
+
"loss": 0.839,
|
| 2445 |
+
"step": 3800
|
| 2446 |
+
},
|
| 2447 |
+
{
|
| 2448 |
+
"epoch": 20.27,
|
| 2449 |
+
"learning_rate": 0.00019025000000000002,
|
| 2450 |
+
"loss": 0.8061,
|
| 2451 |
+
"step": 3810
|
| 2452 |
+
},
|
| 2453 |
+
{
|
| 2454 |
+
"epoch": 20.32,
|
| 2455 |
+
"learning_rate": 0.00019075,
|
| 2456 |
+
"loss": 0.7371,
|
| 2457 |
+
"step": 3820
|
| 2458 |
+
},
|
| 2459 |
+
{
|
| 2460 |
+
"epoch": 20.37,
|
| 2461 |
+
"learning_rate": 0.00019125000000000001,
|
| 2462 |
+
"loss": 0.7358,
|
| 2463 |
+
"step": 3830
|
| 2464 |
+
},
|
| 2465 |
+
{
|
| 2466 |
+
"epoch": 20.43,
|
| 2467 |
+
"learning_rate": 0.00019175,
|
| 2468 |
+
"loss": 0.6059,
|
| 2469 |
+
"step": 3840
|
| 2470 |
+
},
|
| 2471 |
+
{
|
| 2472 |
+
"epoch": 20.48,
|
| 2473 |
+
"learning_rate": 0.00019225,
|
| 2474 |
+
"loss": 0.8188,
|
| 2475 |
+
"step": 3850
|
| 2476 |
+
},
|
| 2477 |
+
{
|
| 2478 |
+
"epoch": 20.53,
|
| 2479 |
+
"learning_rate": 0.00019275,
|
| 2480 |
+
"loss": 0.7803,
|
| 2481 |
+
"step": 3860
|
| 2482 |
+
},
|
| 2483 |
+
{
|
| 2484 |
+
"epoch": 20.59,
|
| 2485 |
+
"learning_rate": 0.00019325,
|
| 2486 |
+
"loss": 0.7161,
|
| 2487 |
+
"step": 3870
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 20.64,
|
| 2491 |
+
"learning_rate": 0.00019375000000000002,
|
| 2492 |
+
"loss": 0.6724,
|
| 2493 |
+
"step": 3880
|
| 2494 |
+
},
|
| 2495 |
+
{
|
| 2496 |
+
"epoch": 20.69,
|
| 2497 |
+
"learning_rate": 0.00019425,
|
| 2498 |
+
"loss": 0.7061,
|
| 2499 |
+
"step": 3890
|
| 2500 |
+
},
|
| 2501 |
+
{
|
| 2502 |
+
"epoch": 20.74,
|
| 2503 |
+
"learning_rate": 0.00019475000000000002,
|
| 2504 |
+
"loss": 0.6738,
|
| 2505 |
+
"step": 3900
|
| 2506 |
+
},
|
| 2507 |
+
{
|
| 2508 |
+
"epoch": 20.74,
|
| 2509 |
+
"eval_accuracy": 0.7393333333333333,
|
| 2510 |
+
"eval_combined_score": 0.7056336725949668,
|
| 2511 |
+
"eval_f1": 0.6292089176424869,
|
| 2512 |
+
"eval_loss": 0.7768693566322327,
|
| 2513 |
+
"eval_precision": 0.7146591060707139,
|
| 2514 |
+
"eval_recall": 0.7393333333333333,
|
| 2515 |
+
"eval_runtime": 5.8568,
|
| 2516 |
+
"eval_samples_per_second": 256.113,
|
| 2517 |
+
"eval_steps_per_second": 8.025,
|
| 2518 |
+
"step": 3900
|
| 2519 |
+
}
|
| 2520 |
+
],
|
| 2521 |
+
"logging_steps": 10,
|
| 2522 |
+
"max_steps": 5640,
|
| 2523 |
+
"num_train_epochs": 30,
|
| 2524 |
+
"save_steps": 300,
|
| 2525 |
+
"total_flos": 8188089272893440.0,
|
| 2526 |
+
"trial_name": null,
|
| 2527 |
+
"trial_params": null
|
| 2528 |
+
}
|
checkpoint-3900/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:05b42247af1886e7e4142c2daf8d1dc0efc9906f62aab884f8ebe56da5f0ce3e
|
| 3 |
+
size 4472
|
checkpoint-3900/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|