Upload folder using huggingface_hub
Browse files- training_checkpoints/checkpoint-11574/config.json +100 -0
- training_checkpoints/checkpoint-11574/merges.txt +0 -0
- training_checkpoints/checkpoint-11574/model.safetensors +3 -0
- training_checkpoints/checkpoint-11574/optimizer.pt +3 -0
- training_checkpoints/checkpoint-11574/rng_state.pth +3 -0
- training_checkpoints/checkpoint-11574/scheduler.pt +3 -0
- training_checkpoints/checkpoint-11574/special_tokens_map.json +15 -0
- training_checkpoints/checkpoint-11574/tokenizer.json +0 -0
- training_checkpoints/checkpoint-11574/tokenizer_config.json +57 -0
- training_checkpoints/checkpoint-11574/trainer_state.json +553 -0
- training_checkpoints/checkpoint-11574/training_args.bin +3 -0
- training_checkpoints/checkpoint-11574/vocab.json +0 -0
training_checkpoints/checkpoint-11574/config.json
ADDED
|
@@ -0,0 +1,100 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/bart-base",
|
| 3 |
+
"activation_dropout": 0.1,
|
| 4 |
+
"activation_function": "gelu",
|
| 5 |
+
"add_bias_logits": false,
|
| 6 |
+
"add_final_layer_norm": false,
|
| 7 |
+
"architectures": [
|
| 8 |
+
"BartForSequenceClassification"
|
| 9 |
+
],
|
| 10 |
+
"attention_dropout": 0.1,
|
| 11 |
+
"bos_token_id": 0,
|
| 12 |
+
"classif_dropout": 0.1,
|
| 13 |
+
"classifier_dropout": 0.0,
|
| 14 |
+
"d_model": 768,
|
| 15 |
+
"decoder_attention_heads": 12,
|
| 16 |
+
"decoder_ffn_dim": 3072,
|
| 17 |
+
"decoder_layerdrop": 0.0,
|
| 18 |
+
"decoder_layers": 6,
|
| 19 |
+
"decoder_start_token_id": 2,
|
| 20 |
+
"dropout": 0.1,
|
| 21 |
+
"early_stopping": true,
|
| 22 |
+
"encoder_attention_heads": 12,
|
| 23 |
+
"encoder_ffn_dim": 3072,
|
| 24 |
+
"encoder_layerdrop": 0.0,
|
| 25 |
+
"encoder_layers": 6,
|
| 26 |
+
"eos_token_id": 2,
|
| 27 |
+
"forced_bos_token_id": 0,
|
| 28 |
+
"forced_eos_token_id": 2,
|
| 29 |
+
"gradient_checkpointing": false,
|
| 30 |
+
"id2label": {
|
| 31 |
+
"0": "Issue",
|
| 32 |
+
"1": "Court Discourse",
|
| 33 |
+
"2": "Conclusion",
|
| 34 |
+
"3": "Precedent Analysis",
|
| 35 |
+
"4": "Section Analysis",
|
| 36 |
+
"5": "Argument by Petitioner",
|
| 37 |
+
"6": "Fact",
|
| 38 |
+
"7": "Argument by Respondent",
|
| 39 |
+
"8": "Ratio",
|
| 40 |
+
"9": "Appellant",
|
| 41 |
+
"10": "Respondent",
|
| 42 |
+
"11": "Argument by Appellant",
|
| 43 |
+
"12": "Petitioner",
|
| 44 |
+
"13": "Judge",
|
| 45 |
+
"14": "Argument by Defendant"
|
| 46 |
+
},
|
| 47 |
+
"init_std": 0.02,
|
| 48 |
+
"is_encoder_decoder": true,
|
| 49 |
+
"label2id": {
|
| 50 |
+
"Appellant": 9,
|
| 51 |
+
"Argument by Appellant": 11,
|
| 52 |
+
"Argument by Defendant": 14,
|
| 53 |
+
"Argument by Petitioner": 5,
|
| 54 |
+
"Argument by Respondent": 7,
|
| 55 |
+
"Conclusion": 2,
|
| 56 |
+
"Court Discourse": 1,
|
| 57 |
+
"Fact": 6,
|
| 58 |
+
"Issue": 0,
|
| 59 |
+
"Judge": 13,
|
| 60 |
+
"Petitioner": 12,
|
| 61 |
+
"Precedent Analysis": 3,
|
| 62 |
+
"Ratio": 8,
|
| 63 |
+
"Respondent": 10,
|
| 64 |
+
"Section Analysis": 4
|
| 65 |
+
},
|
| 66 |
+
"max_position_embeddings": 1024,
|
| 67 |
+
"model_type": "bart",
|
| 68 |
+
"no_repeat_ngram_size": 3,
|
| 69 |
+
"normalize_before": false,
|
| 70 |
+
"normalize_embedding": true,
|
| 71 |
+
"num_beams": 4,
|
| 72 |
+
"num_hidden_layers": 6,
|
| 73 |
+
"pad_token_id": 1,
|
| 74 |
+
"problem_type": "single_label_classification",
|
| 75 |
+
"scale_embedding": false,
|
| 76 |
+
"task_specific_params": {
|
| 77 |
+
"summarization": {
|
| 78 |
+
"length_penalty": 1.0,
|
| 79 |
+
"max_length": 128,
|
| 80 |
+
"min_length": 12,
|
| 81 |
+
"num_beams": 4
|
| 82 |
+
},
|
| 83 |
+
"summarization_cnn": {
|
| 84 |
+
"length_penalty": 2.0,
|
| 85 |
+
"max_length": 142,
|
| 86 |
+
"min_length": 56,
|
| 87 |
+
"num_beams": 4
|
| 88 |
+
},
|
| 89 |
+
"summarization_xsum": {
|
| 90 |
+
"length_penalty": 1.0,
|
| 91 |
+
"max_length": 62,
|
| 92 |
+
"min_length": 11,
|
| 93 |
+
"num_beams": 6
|
| 94 |
+
}
|
| 95 |
+
},
|
| 96 |
+
"torch_dtype": "float32",
|
| 97 |
+
"transformers_version": "4.35.2",
|
| 98 |
+
"use_cache": true,
|
| 99 |
+
"vocab_size": 50265
|
| 100 |
+
}
|
training_checkpoints/checkpoint-11574/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
training_checkpoints/checkpoint-11574/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:14f32f11115e579eb3b30aab6102072716bb4910fc5460dbc7a4a54509f00f50
|
| 3 |
+
size 560120380
|
training_checkpoints/checkpoint-11574/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:15658f7e1de09abaa810c2529e11952fb61e5da8b42a75bbfc038cd6cfc4b5a0
|
| 3 |
+
size 1120400122
|
training_checkpoints/checkpoint-11574/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3a034861f6bb69811dc949cc775b6d482ee398ca32d0f9feef8659c1aff8ce83
|
| 3 |
+
size 14244
|
training_checkpoints/checkpoint-11574/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a3fe764229a347923b3a83a81cc3856c0d64dec2b40c281da254adb37080356
|
| 3 |
+
size 1064
|
training_checkpoints/checkpoint-11574/special_tokens_map.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"cls_token": "<s>",
|
| 4 |
+
"eos_token": "</s>",
|
| 5 |
+
"mask_token": {
|
| 6 |
+
"content": "<mask>",
|
| 7 |
+
"lstrip": true,
|
| 8 |
+
"normalized": true,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false
|
| 11 |
+
},
|
| 12 |
+
"pad_token": "<pad>",
|
| 13 |
+
"sep_token": "</s>",
|
| 14 |
+
"unk_token": "<unk>"
|
| 15 |
+
}
|
training_checkpoints/checkpoint-11574/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
training_checkpoints/checkpoint-11574/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": true,
|
| 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": 1024,
|
| 52 |
+
"pad_token": "<pad>",
|
| 53 |
+
"sep_token": "</s>",
|
| 54 |
+
"tokenizer_class": "BartTokenizer",
|
| 55 |
+
"trim_offsets": true,
|
| 56 |
+
"unk_token": "<unk>"
|
| 57 |
+
}
|
training_checkpoints/checkpoint-11574/trainer_state.json
ADDED
|
@@ -0,0 +1,553 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.7780054113531673,
|
| 3 |
+
"best_model_checkpoint": "bart-base/checkpoint-10288",
|
| 4 |
+
"epoch": 18.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 11574,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.78,
|
| 13 |
+
"learning_rate": 4.871176775531364e-05,
|
| 14 |
+
"loss": 1.2028,
|
| 15 |
+
"step": 500
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 1.0,
|
| 19 |
+
"eval_accuracy": 0.7598760650658405,
|
| 20 |
+
"eval_f1_macro": 0.6063644681337579,
|
| 21 |
+
"eval_f1_micro": 0.7598760650658405,
|
| 22 |
+
"eval_f1_weighted": 0.7489266744747745,
|
| 23 |
+
"eval_loss": 0.8429557681083679,
|
| 24 |
+
"eval_macro_fpr": 0.023226157303183535,
|
| 25 |
+
"eval_macro_sensitivity": 0.6366904609623596,
|
| 26 |
+
"eval_macro_specificity": 0.981694425945952,
|
| 27 |
+
"eval_precision": 0.7600880594489849,
|
| 28 |
+
"eval_precision_macro": 0.6003620126022547,
|
| 29 |
+
"eval_recall": 0.7598760650658405,
|
| 30 |
+
"eval_recall_macro": 0.6366904609623596,
|
| 31 |
+
"eval_runtime": 43.5934,
|
| 32 |
+
"eval_samples_per_second": 29.615,
|
| 33 |
+
"eval_steps_per_second": 3.716,
|
| 34 |
+
"eval_weighted_fpr": 0.02207348333808032,
|
| 35 |
+
"eval_weighted_sensitivity": 0.7598760650658405,
|
| 36 |
+
"eval_weighted_specificity": 0.9655403241234398,
|
| 37 |
+
"step": 643
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 1.56,
|
| 41 |
+
"learning_rate": 4.741575946086055e-05,
|
| 42 |
+
"loss": 0.715,
|
| 43 |
+
"step": 1000
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"epoch": 2.0,
|
| 47 |
+
"eval_accuracy": 0.7931835786212239,
|
| 48 |
+
"eval_f1_macro": 0.7213629796675549,
|
| 49 |
+
"eval_f1_micro": 0.793183578621224,
|
| 50 |
+
"eval_f1_weighted": 0.7853477061503886,
|
| 51 |
+
"eval_loss": 0.7331996560096741,
|
| 52 |
+
"eval_macro_fpr": 0.018982515099395962,
|
| 53 |
+
"eval_macro_sensitivity": 0.7320748785168393,
|
| 54 |
+
"eval_macro_specificity": 0.9845140063777027,
|
| 55 |
+
"eval_precision": 0.8019650926098448,
|
| 56 |
+
"eval_precision_macro": 0.7386000214414028,
|
| 57 |
+
"eval_recall": 0.7931835786212239,
|
| 58 |
+
"eval_recall_macro": 0.7320748785168393,
|
| 59 |
+
"eval_runtime": 77.2393,
|
| 60 |
+
"eval_samples_per_second": 16.714,
|
| 61 |
+
"eval_steps_per_second": 2.097,
|
| 62 |
+
"eval_weighted_fpr": 0.018283914264192288,
|
| 63 |
+
"eval_weighted_sensitivity": 0.7931835786212239,
|
| 64 |
+
"eval_weighted_specificity": 0.9745265170443169,
|
| 65 |
+
"step": 1286
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 2.33,
|
| 69 |
+
"learning_rate": 4.611975116640747e-05,
|
| 70 |
+
"loss": 0.578,
|
| 71 |
+
"step": 1500
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"epoch": 3.0,
|
| 75 |
+
"eval_accuracy": 0.7939581719597212,
|
| 76 |
+
"eval_f1_macro": 0.6998313050068915,
|
| 77 |
+
"eval_f1_micro": 0.7939581719597211,
|
| 78 |
+
"eval_f1_weighted": 0.79006368267302,
|
| 79 |
+
"eval_loss": 0.8045273423194885,
|
| 80 |
+
"eval_macro_fpr": 0.018545878882531782,
|
| 81 |
+
"eval_macro_sensitivity": 0.7068834234702027,
|
| 82 |
+
"eval_macro_specificity": 0.9847671550097226,
|
| 83 |
+
"eval_precision": 0.8075005963568469,
|
| 84 |
+
"eval_precision_macro": 0.7230632440844518,
|
| 85 |
+
"eval_recall": 0.7939581719597212,
|
| 86 |
+
"eval_recall_macro": 0.7068834234702027,
|
| 87 |
+
"eval_runtime": 86.4099,
|
| 88 |
+
"eval_samples_per_second": 14.94,
|
| 89 |
+
"eval_steps_per_second": 1.875,
|
| 90 |
+
"eval_weighted_fpr": 0.018199233716475097,
|
| 91 |
+
"eval_weighted_sensitivity": 0.7939581719597212,
|
| 92 |
+
"eval_weighted_specificity": 0.977549153186118,
|
| 93 |
+
"step": 1929
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 3.11,
|
| 97 |
+
"learning_rate": 4.482633488854329e-05,
|
| 98 |
+
"loss": 0.481,
|
| 99 |
+
"step": 2000
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 3.89,
|
| 103 |
+
"learning_rate": 4.3530326594090203e-05,
|
| 104 |
+
"loss": 0.3938,
|
| 105 |
+
"step": 2500
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 4.0,
|
| 109 |
+
"eval_accuracy": 0.8156467854376452,
|
| 110 |
+
"eval_f1_macro": 0.7369315728111729,
|
| 111 |
+
"eval_f1_micro": 0.8156467854376452,
|
| 112 |
+
"eval_f1_weighted": 0.8105168035589256,
|
| 113 |
+
"eval_loss": 0.8291025161743164,
|
| 114 |
+
"eval_macro_fpr": 0.016938074954137138,
|
| 115 |
+
"eval_macro_sensitivity": 0.7217605983180461,
|
| 116 |
+
"eval_macro_specificity": 0.9857842035419169,
|
| 117 |
+
"eval_precision": 0.8171220006778526,
|
| 118 |
+
"eval_precision_macro": 0.7937034642937142,
|
| 119 |
+
"eval_recall": 0.8156467854376452,
|
| 120 |
+
"eval_recall_macro": 0.7217605983180461,
|
| 121 |
+
"eval_runtime": 84.4366,
|
| 122 |
+
"eval_samples_per_second": 15.29,
|
| 123 |
+
"eval_steps_per_second": 1.919,
|
| 124 |
+
"eval_weighted_fpr": 0.01588785046728972,
|
| 125 |
+
"eval_weighted_sensitivity": 0.8156467854376452,
|
| 126 |
+
"eval_weighted_specificity": 0.9711162676911109,
|
| 127 |
+
"step": 2572
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 4.67,
|
| 131 |
+
"learning_rate": 4.2236910316226025e-05,
|
| 132 |
+
"loss": 0.3238,
|
| 133 |
+
"step": 3000
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"epoch": 5.0,
|
| 137 |
+
"eval_accuracy": 0.7939581719597212,
|
| 138 |
+
"eval_f1_macro": 0.7360579650857649,
|
| 139 |
+
"eval_f1_micro": 0.7939581719597211,
|
| 140 |
+
"eval_f1_weighted": 0.7995200606905476,
|
| 141 |
+
"eval_loss": 0.8888681530952454,
|
| 142 |
+
"eval_macro_fpr": 0.018767728188278533,
|
| 143 |
+
"eval_macro_sensitivity": 0.7515467286591376,
|
| 144 |
+
"eval_macro_specificity": 0.9846803211687324,
|
| 145 |
+
"eval_precision": 0.8146370555192632,
|
| 146 |
+
"eval_precision_macro": 0.7464262358644205,
|
| 147 |
+
"eval_recall": 0.7939581719597212,
|
| 148 |
+
"eval_recall_macro": 0.7515467286591376,
|
| 149 |
+
"eval_runtime": 82.179,
|
| 150 |
+
"eval_samples_per_second": 15.71,
|
| 151 |
+
"eval_steps_per_second": 1.971,
|
| 152 |
+
"eval_weighted_fpr": 0.018199233716475097,
|
| 153 |
+
"eval_weighted_sensitivity": 0.7939581719597212,
|
| 154 |
+
"eval_weighted_specificity": 0.9762466455712672,
|
| 155 |
+
"step": 3215
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 5.44,
|
| 159 |
+
"learning_rate": 4.094090202177294e-05,
|
| 160 |
+
"loss": 0.246,
|
| 161 |
+
"step": 3500
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 6.0,
|
| 165 |
+
"eval_accuracy": 0.7955073586367157,
|
| 166 |
+
"eval_f1_macro": 0.7362210043644567,
|
| 167 |
+
"eval_f1_micro": 0.7955073586367158,
|
| 168 |
+
"eval_f1_weighted": 0.7945977979999089,
|
| 169 |
+
"eval_loss": 1.1628626585006714,
|
| 170 |
+
"eval_macro_fpr": 0.01863187379355594,
|
| 171 |
+
"eval_macro_sensitivity": 0.7599986341032186,
|
| 172 |
+
"eval_macro_specificity": 0.9846932142915057,
|
| 173 |
+
"eval_precision": 0.8066758597712774,
|
| 174 |
+
"eval_precision_macro": 0.7483163388808308,
|
| 175 |
+
"eval_recall": 0.7955073586367157,
|
| 176 |
+
"eval_recall_macro": 0.7599986341032186,
|
| 177 |
+
"eval_runtime": 82.1621,
|
| 178 |
+
"eval_samples_per_second": 15.713,
|
| 179 |
+
"eval_steps_per_second": 1.972,
|
| 180 |
+
"eval_weighted_fpr": 0.018030323726266905,
|
| 181 |
+
"eval_weighted_sensitivity": 0.7955073586367157,
|
| 182 |
+
"eval_weighted_specificity": 0.9748908557358684,
|
| 183 |
+
"step": 3858
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 6.22,
|
| 187 |
+
"learning_rate": 3.964489372731986e-05,
|
| 188 |
+
"loss": 0.228,
|
| 189 |
+
"step": 4000
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 7.0,
|
| 193 |
+
"learning_rate": 3.834888543286677e-05,
|
| 194 |
+
"loss": 0.1791,
|
| 195 |
+
"step": 4500
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 7.0,
|
| 199 |
+
"eval_accuracy": 0.8179705654531371,
|
| 200 |
+
"eval_f1_macro": 0.7736489492761546,
|
| 201 |
+
"eval_f1_micro": 0.817970565453137,
|
| 202 |
+
"eval_f1_weighted": 0.8146592022169725,
|
| 203 |
+
"eval_loss": 1.1354283094406128,
|
| 204 |
+
"eval_macro_fpr": 0.016454731140779742,
|
| 205 |
+
"eval_macro_sensitivity": 0.7696557438486226,
|
| 206 |
+
"eval_macro_specificity": 0.9861772746118799,
|
| 207 |
+
"eval_precision": 0.8150792023791334,
|
| 208 |
+
"eval_precision_macro": 0.7832166669456337,
|
| 209 |
+
"eval_recall": 0.8179705654531371,
|
| 210 |
+
"eval_recall_macro": 0.7696557438486226,
|
| 211 |
+
"eval_runtime": 85.4548,
|
| 212 |
+
"eval_samples_per_second": 15.107,
|
| 213 |
+
"eval_steps_per_second": 1.896,
|
| 214 |
+
"eval_weighted_fpr": 0.01564684732671949,
|
| 215 |
+
"eval_weighted_sensitivity": 0.8179705654531371,
|
| 216 |
+
"eval_weighted_specificity": 0.9746885537250626,
|
| 217 |
+
"step": 4501
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 7.78,
|
| 221 |
+
"learning_rate": 3.705546915500259e-05,
|
| 222 |
+
"loss": 0.1305,
|
| 223 |
+
"step": 5000
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 8.0,
|
| 227 |
+
"eval_accuracy": 0.8109992254066615,
|
| 228 |
+
"eval_f1_macro": 0.7368975448573482,
|
| 229 |
+
"eval_f1_micro": 0.8109992254066615,
|
| 230 |
+
"eval_f1_weighted": 0.808822910649843,
|
| 231 |
+
"eval_loss": 1.282464861869812,
|
| 232 |
+
"eval_macro_fpr": 0.016943107063520774,
|
| 233 |
+
"eval_macro_sensitivity": 0.7488577570944955,
|
| 234 |
+
"eval_macro_specificity": 0.9858309939135591,
|
| 235 |
+
"eval_precision": 0.8147632227505013,
|
| 236 |
+
"eval_precision_macro": 0.7422132710401315,
|
| 237 |
+
"eval_recall": 0.8109992254066615,
|
| 238 |
+
"eval_recall_macro": 0.7488577570944955,
|
| 239 |
+
"eval_runtime": 87.6049,
|
| 240 |
+
"eval_samples_per_second": 14.737,
|
| 241 |
+
"eval_steps_per_second": 1.849,
|
| 242 |
+
"eval_weighted_fpr": 0.016373641121997046,
|
| 243 |
+
"eval_weighted_sensitivity": 0.8109992254066615,
|
| 244 |
+
"eval_weighted_specificity": 0.9764656832967246,
|
| 245 |
+
"step": 5144
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 8.55,
|
| 249 |
+
"learning_rate": 3.575946086054951e-05,
|
| 250 |
+
"loss": 0.0924,
|
| 251 |
+
"step": 5500
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 9.0,
|
| 255 |
+
"eval_accuracy": 0.8040278853601859,
|
| 256 |
+
"eval_f1_macro": 0.7559721746710123,
|
| 257 |
+
"eval_f1_micro": 0.8040278853601859,
|
| 258 |
+
"eval_f1_weighted": 0.80145679310201,
|
| 259 |
+
"eval_loss": 1.421708583831787,
|
| 260 |
+
"eval_macro_fpr": 0.017802568540250287,
|
| 261 |
+
"eval_macro_sensitivity": 0.7809236600744539,
|
| 262 |
+
"eval_macro_specificity": 0.9853492039682624,
|
| 263 |
+
"eval_precision": 0.8113877598541575,
|
| 264 |
+
"eval_precision_macro": 0.7464644897074477,
|
| 265 |
+
"eval_recall": 0.8040278853601859,
|
| 266 |
+
"eval_recall_macro": 0.7809236600744539,
|
| 267 |
+
"eval_runtime": 89.5999,
|
| 268 |
+
"eval_samples_per_second": 14.408,
|
| 269 |
+
"eval_steps_per_second": 1.808,
|
| 270 |
+
"eval_weighted_fpr": 0.017111937774771727,
|
| 271 |
+
"eval_weighted_sensitivity": 0.8040278853601859,
|
| 272 |
+
"eval_weighted_specificity": 0.9762101741637506,
|
| 273 |
+
"step": 5787
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 9.33,
|
| 277 |
+
"learning_rate": 3.446345256609643e-05,
|
| 278 |
+
"loss": 0.0953,
|
| 279 |
+
"step": 6000
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 10.0,
|
| 283 |
+
"eval_accuracy": 0.8024786986831913,
|
| 284 |
+
"eval_f1_macro": 0.7661426626929498,
|
| 285 |
+
"eval_f1_micro": 0.8024786986831914,
|
| 286 |
+
"eval_f1_weighted": 0.8001228885030943,
|
| 287 |
+
"eval_loss": 1.5552372932434082,
|
| 288 |
+
"eval_macro_fpr": 0.018250858387380567,
|
| 289 |
+
"eval_macro_sensitivity": 0.7822186507003115,
|
| 290 |
+
"eval_macro_specificity": 0.9849087494473102,
|
| 291 |
+
"eval_precision": 0.8055922813865947,
|
| 292 |
+
"eval_precision_macro": 0.7702182213697708,
|
| 293 |
+
"eval_recall": 0.8024786986831913,
|
| 294 |
+
"eval_recall_macro": 0.7822186507003115,
|
| 295 |
+
"eval_runtime": 85.2534,
|
| 296 |
+
"eval_samples_per_second": 15.143,
|
| 297 |
+
"eval_steps_per_second": 1.9,
|
| 298 |
+
"eval_weighted_fpr": 0.017277593332881633,
|
| 299 |
+
"eval_weighted_sensitivity": 0.8024786986831913,
|
| 300 |
+
"eval_weighted_specificity": 0.9711525430264618,
|
| 301 |
+
"step": 6430
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 10.11,
|
| 305 |
+
"learning_rate": 3.316744427164334e-05,
|
| 306 |
+
"loss": 0.0668,
|
| 307 |
+
"step": 6500
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 10.89,
|
| 311 |
+
"learning_rate": 3.1871435977190256e-05,
|
| 312 |
+
"loss": 0.0617,
|
| 313 |
+
"step": 7000
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 11.0,
|
| 317 |
+
"eval_accuracy": 0.8040278853601859,
|
| 318 |
+
"eval_f1_macro": 0.7422420279485343,
|
| 319 |
+
"eval_f1_micro": 0.8040278853601859,
|
| 320 |
+
"eval_f1_weighted": 0.8069943234338898,
|
| 321 |
+
"eval_loss": 1.5223894119262695,
|
| 322 |
+
"eval_macro_fpr": 0.017602619829831197,
|
| 323 |
+
"eval_macro_sensitivity": 0.7512050029477755,
|
| 324 |
+
"eval_macro_specificity": 0.9853474796083734,
|
| 325 |
+
"eval_precision": 0.8144253833246468,
|
| 326 |
+
"eval_precision_macro": 0.745702567690635,
|
| 327 |
+
"eval_recall": 0.8040278853601859,
|
| 328 |
+
"eval_recall_macro": 0.7512050029477755,
|
| 329 |
+
"eval_runtime": 85.7004,
|
| 330 |
+
"eval_samples_per_second": 15.064,
|
| 331 |
+
"eval_steps_per_second": 1.89,
|
| 332 |
+
"eval_weighted_fpr": 0.017111937774771727,
|
| 333 |
+
"eval_weighted_sensitivity": 0.8040278853601859,
|
| 334 |
+
"eval_weighted_specificity": 0.9761843087654142,
|
| 335 |
+
"step": 7073
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 11.66,
|
| 339 |
+
"learning_rate": 3.057542768273717e-05,
|
| 340 |
+
"loss": 0.0582,
|
| 341 |
+
"step": 7500
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 12.0,
|
| 345 |
+
"eval_accuracy": 0.7970565453137103,
|
| 346 |
+
"eval_f1_macro": 0.7465072775190384,
|
| 347 |
+
"eval_f1_micro": 0.7970565453137104,
|
| 348 |
+
"eval_f1_weighted": 0.8021748784206515,
|
| 349 |
+
"eval_loss": 1.6427809000015259,
|
| 350 |
+
"eval_macro_fpr": 0.01832354936918133,
|
| 351 |
+
"eval_macro_sensitivity": 0.7654834054509102,
|
| 352 |
+
"eval_macro_specificity": 0.9849466228972559,
|
| 353 |
+
"eval_precision": 0.8148454054398186,
|
| 354 |
+
"eval_precision_macro": 0.7470312881962948,
|
| 355 |
+
"eval_recall": 0.7970565453137103,
|
| 356 |
+
"eval_recall_macro": 0.7654834054509102,
|
| 357 |
+
"eval_runtime": 95.4565,
|
| 358 |
+
"eval_samples_per_second": 13.524,
|
| 359 |
+
"eval_steps_per_second": 1.697,
|
| 360 |
+
"eval_weighted_fpr": 0.017862012544314153,
|
| 361 |
+
"eval_weighted_sensitivity": 0.7970565453137103,
|
| 362 |
+
"eval_weighted_specificity": 0.9771427981451267,
|
| 363 |
+
"step": 7716
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 12.44,
|
| 367 |
+
"learning_rate": 2.9279419388284086e-05,
|
| 368 |
+
"loss": 0.0511,
|
| 369 |
+
"step": 8000
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 13.0,
|
| 373 |
+
"eval_accuracy": 0.8195197521301317,
|
| 374 |
+
"eval_f1_macro": 0.7586168211948496,
|
| 375 |
+
"eval_f1_micro": 0.8195197521301317,
|
| 376 |
+
"eval_f1_weighted": 0.8186828900418365,
|
| 377 |
+
"eval_loss": 1.4951962232589722,
|
| 378 |
+
"eval_macro_fpr": 0.016182326988526896,
|
| 379 |
+
"eval_macro_sensitivity": 0.7580273333502953,
|
| 380 |
+
"eval_macro_specificity": 0.9863597979839632,
|
| 381 |
+
"eval_precision": 0.8208277188287908,
|
| 382 |
+
"eval_precision_macro": 0.7645206618886077,
|
| 383 |
+
"eval_recall": 0.8195197521301317,
|
| 384 |
+
"eval_recall_macro": 0.7580273333502953,
|
| 385 |
+
"eval_runtime": 85.8279,
|
| 386 |
+
"eval_samples_per_second": 15.042,
|
| 387 |
+
"eval_steps_per_second": 1.887,
|
| 388 |
+
"eval_weighted_fpr": 0.01548687271518777,
|
| 389 |
+
"eval_weighted_sensitivity": 0.8195197521301317,
|
| 390 |
+
"eval_weighted_specificity": 0.9758772176293167,
|
| 391 |
+
"step": 8359
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 13.22,
|
| 395 |
+
"learning_rate": 2.7983411093831004e-05,
|
| 396 |
+
"loss": 0.0403,
|
| 397 |
+
"step": 8500
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 14.0,
|
| 401 |
+
"learning_rate": 2.668740279937792e-05,
|
| 402 |
+
"loss": 0.0476,
|
| 403 |
+
"step": 9000
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 14.0,
|
| 407 |
+
"eval_accuracy": 0.7970565453137103,
|
| 408 |
+
"eval_f1_macro": 0.7416650578915932,
|
| 409 |
+
"eval_f1_micro": 0.7970565453137104,
|
| 410 |
+
"eval_f1_weighted": 0.7913296065268454,
|
| 411 |
+
"eval_loss": 1.7132102251052856,
|
| 412 |
+
"eval_macro_fpr": 0.018853564171086353,
|
| 413 |
+
"eval_macro_sensitivity": 0.7328360987022614,
|
| 414 |
+
"eval_macro_specificity": 0.9845211676049321,
|
| 415 |
+
"eval_precision": 0.795801987953062,
|
| 416 |
+
"eval_precision_macro": 0.763738385548772,
|
| 417 |
+
"eval_recall": 0.7970565453137103,
|
| 418 |
+
"eval_recall_macro": 0.7328360987022614,
|
| 419 |
+
"eval_runtime": 90.1914,
|
| 420 |
+
"eval_samples_per_second": 14.314,
|
| 421 |
+
"eval_steps_per_second": 1.796,
|
| 422 |
+
"eval_weighted_fpr": 0.017862012544314153,
|
| 423 |
+
"eval_weighted_sensitivity": 0.7970565453137103,
|
| 424 |
+
"eval_weighted_specificity": 0.9707609687602743,
|
| 425 |
+
"step": 9002
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 14.77,
|
| 429 |
+
"learning_rate": 2.5391394504924833e-05,
|
| 430 |
+
"loss": 0.0375,
|
| 431 |
+
"step": 9500
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 15.0,
|
| 435 |
+
"eval_accuracy": 0.8001549186676995,
|
| 436 |
+
"eval_f1_macro": 0.7437118125777374,
|
| 437 |
+
"eval_f1_micro": 0.8001549186676995,
|
| 438 |
+
"eval_f1_weighted": 0.8017305518379161,
|
| 439 |
+
"eval_loss": 1.7058144807815552,
|
| 440 |
+
"eval_macro_fpr": 0.018188016275518495,
|
| 441 |
+
"eval_macro_sensitivity": 0.7696355635707867,
|
| 442 |
+
"eval_macro_specificity": 0.9850538317438372,
|
| 443 |
+
"eval_precision": 0.8109768674187026,
|
| 444 |
+
"eval_precision_macro": 0.7369403978788467,
|
| 445 |
+
"eval_recall": 0.8001549186676995,
|
| 446 |
+
"eval_recall_macro": 0.7696355635707867,
|
| 447 |
+
"eval_runtime": 89.6171,
|
| 448 |
+
"eval_samples_per_second": 14.406,
|
| 449 |
+
"eval_steps_per_second": 1.808,
|
| 450 |
+
"eval_weighted_fpr": 0.017527173913043478,
|
| 451 |
+
"eval_weighted_sensitivity": 0.8001549186676995,
|
| 452 |
+
"eval_weighted_specificity": 0.9756525574898595,
|
| 453 |
+
"step": 9645
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 15.55,
|
| 457 |
+
"learning_rate": 2.4095386210471748e-05,
|
| 458 |
+
"loss": 0.0241,
|
| 459 |
+
"step": 10000
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 16.0,
|
| 463 |
+
"eval_accuracy": 0.8179705654531371,
|
| 464 |
+
"eval_f1_macro": 0.7780054113531673,
|
| 465 |
+
"eval_f1_micro": 0.817970565453137,
|
| 466 |
+
"eval_f1_weighted": 0.8174074193030834,
|
| 467 |
+
"eval_loss": 1.7145990133285522,
|
| 468 |
+
"eval_macro_fpr": 0.01624192113353871,
|
| 469 |
+
"eval_macro_sensitivity": 0.7786912615456476,
|
| 470 |
+
"eval_macro_specificity": 0.9862689663514356,
|
| 471 |
+
"eval_precision": 0.8189471437742178,
|
| 472 |
+
"eval_precision_macro": 0.7852139494262297,
|
| 473 |
+
"eval_recall": 0.8179705654531371,
|
| 474 |
+
"eval_recall_macro": 0.7786912615456476,
|
| 475 |
+
"eval_runtime": 95.9969,
|
| 476 |
+
"eval_samples_per_second": 13.448,
|
| 477 |
+
"eval_steps_per_second": 1.688,
|
| 478 |
+
"eval_weighted_fpr": 0.01564684732671949,
|
| 479 |
+
"eval_weighted_sensitivity": 0.8179705654531371,
|
| 480 |
+
"eval_weighted_specificity": 0.9760639298183975,
|
| 481 |
+
"step": 10288
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 16.33,
|
| 485 |
+
"learning_rate": 2.280196993260757e-05,
|
| 486 |
+
"loss": 0.0226,
|
| 487 |
+
"step": 10500
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 17.0,
|
| 491 |
+
"eval_accuracy": 0.820294345468629,
|
| 492 |
+
"eval_f1_macro": 0.7713653883357572,
|
| 493 |
+
"eval_f1_micro": 0.8202943454686291,
|
| 494 |
+
"eval_f1_weighted": 0.8205584776004088,
|
| 495 |
+
"eval_loss": 1.703484296798706,
|
| 496 |
+
"eval_macro_fpr": 0.015955392684873622,
|
| 497 |
+
"eval_macro_sensitivity": 0.7780791588964692,
|
| 498 |
+
"eval_macro_specificity": 0.9865149979627027,
|
| 499 |
+
"eval_precision": 0.8238197570339643,
|
| 500 |
+
"eval_precision_macro": 0.7731970694747214,
|
| 501 |
+
"eval_recall": 0.820294345468629,
|
| 502 |
+
"eval_recall_macro": 0.7780791588964692,
|
| 503 |
+
"eval_runtime": 92.4633,
|
| 504 |
+
"eval_samples_per_second": 13.962,
|
| 505 |
+
"eval_steps_per_second": 1.752,
|
| 506 |
+
"eval_weighted_fpr": 0.015407092575375215,
|
| 507 |
+
"eval_weighted_sensitivity": 0.820294345468629,
|
| 508 |
+
"eval_weighted_specificity": 0.9774306239719132,
|
| 509 |
+
"step": 10931
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 17.11,
|
| 513 |
+
"learning_rate": 2.1505961638154484e-05,
|
| 514 |
+
"loss": 0.017,
|
| 515 |
+
"step": 11000
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 17.88,
|
| 519 |
+
"learning_rate": 2.0209953343701402e-05,
|
| 520 |
+
"loss": 0.0189,
|
| 521 |
+
"step": 11500
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 18.0,
|
| 525 |
+
"eval_accuracy": 0.8164213787761425,
|
| 526 |
+
"eval_f1_macro": 0.7577737009484876,
|
| 527 |
+
"eval_f1_micro": 0.8164213787761425,
|
| 528 |
+
"eval_f1_weighted": 0.814862576730404,
|
| 529 |
+
"eval_loss": 1.8079380989074707,
|
| 530 |
+
"eval_macro_fpr": 0.016561980735895838,
|
| 531 |
+
"eval_macro_sensitivity": 0.7677111310031827,
|
| 532 |
+
"eval_macro_specificity": 0.9860906809860878,
|
| 533 |
+
"eval_precision": 0.8160431006408752,
|
| 534 |
+
"eval_precision_macro": 0.7583264160007077,
|
| 535 |
+
"eval_recall": 0.8164213787761425,
|
| 536 |
+
"eval_recall_macro": 0.7677111310031827,
|
| 537 |
+
"eval_runtime": 93.2101,
|
| 538 |
+
"eval_samples_per_second": 13.85,
|
| 539 |
+
"eval_steps_per_second": 1.738,
|
| 540 |
+
"eval_weighted_fpr": 0.01580737677582872,
|
| 541 |
+
"eval_weighted_sensitivity": 0.8164213787761425,
|
| 542 |
+
"eval_weighted_specificity": 0.9749388360151747,
|
| 543 |
+
"step": 11574
|
| 544 |
+
}
|
| 545 |
+
],
|
| 546 |
+
"logging_steps": 500,
|
| 547 |
+
"max_steps": 19290,
|
| 548 |
+
"num_train_epochs": 30,
|
| 549 |
+
"save_steps": 500,
|
| 550 |
+
"total_flos": 2.8366504114507776e+16,
|
| 551 |
+
"trial_name": null,
|
| 552 |
+
"trial_params": null
|
| 553 |
+
}
|
training_checkpoints/checkpoint-11574/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cd0cdec3791602f3a208801abdf1b96f9559896ff555c412e7903eee9d6a2b88
|
| 3 |
+
size 4600
|
training_checkpoints/checkpoint-11574/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|