Upload folder using huggingface_hub
Browse files- all_runs/checkpoint-53949/config.json +99 -0
- all_runs/checkpoint-53949/merges.txt +0 -0
- all_runs/checkpoint-53949/model.safetensors +3 -0
- all_runs/checkpoint-53949/optimizer.pt +3 -0
- all_runs/checkpoint-53949/rng_state.pth +3 -0
- all_runs/checkpoint-53949/scheduler.pt +3 -0
- all_runs/checkpoint-53949/special_tokens_map.json +15 -0
- all_runs/checkpoint-53949/tokenizer.json +0 -0
- all_runs/checkpoint-53949/tokenizer_config.json +57 -0
- all_runs/checkpoint-53949/trainer_state.json +1123 -0
- all_runs/checkpoint-53949/training_args.bin +3 -0
- all_runs/checkpoint-53949/vocab.json +0 -0
all_runs/checkpoint-53949/config.json
ADDED
|
@@ -0,0 +1,99 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/bart-large",
|
| 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": 1024,
|
| 15 |
+
"decoder_attention_heads": 16,
|
| 16 |
+
"decoder_ffn_dim": 4096,
|
| 17 |
+
"decoder_layerdrop": 0.0,
|
| 18 |
+
"decoder_layers": 12,
|
| 19 |
+
"decoder_start_token_id": 2,
|
| 20 |
+
"dropout": 0.1,
|
| 21 |
+
"early_stopping": true,
|
| 22 |
+
"encoder_attention_heads": 16,
|
| 23 |
+
"encoder_ffn_dim": 4096,
|
| 24 |
+
"encoder_layerdrop": 0.0,
|
| 25 |
+
"encoder_layers": 12,
|
| 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 |
+
"num_beams": 4,
|
| 71 |
+
"num_hidden_layers": 12,
|
| 72 |
+
"pad_token_id": 1,
|
| 73 |
+
"problem_type": "single_label_classification",
|
| 74 |
+
"scale_embedding": false,
|
| 75 |
+
"task_specific_params": {
|
| 76 |
+
"summarization": {
|
| 77 |
+
"length_penalty": 1.0,
|
| 78 |
+
"max_length": 128,
|
| 79 |
+
"min_length": 12,
|
| 80 |
+
"num_beams": 4
|
| 81 |
+
},
|
| 82 |
+
"summarization_cnn": {
|
| 83 |
+
"length_penalty": 2.0,
|
| 84 |
+
"max_length": 142,
|
| 85 |
+
"min_length": 56,
|
| 86 |
+
"num_beams": 4
|
| 87 |
+
},
|
| 88 |
+
"summarization_xsum": {
|
| 89 |
+
"length_penalty": 1.0,
|
| 90 |
+
"max_length": 62,
|
| 91 |
+
"min_length": 11,
|
| 92 |
+
"num_beams": 6
|
| 93 |
+
}
|
| 94 |
+
},
|
| 95 |
+
"torch_dtype": "float32",
|
| 96 |
+
"transformers_version": "4.35.2",
|
| 97 |
+
"use_cache": true,
|
| 98 |
+
"vocab_size": 50265
|
| 99 |
+
}
|
all_runs/checkpoint-53949/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
all_runs/checkpoint-53949/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6276f4236e224f9e3129ff31be4a9ca6ef89f6e97be80fc3fbfef012cf4d3ce5
|
| 3 |
+
size 1629486164
|
all_runs/checkpoint-53949/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8a236598a9d3893516b0369e07d0f17dae53d04203018e16b4f45f27b316bb13
|
| 3 |
+
size 3259283099
|
all_runs/checkpoint-53949/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f246dbd12750e95ed991fa2aaff8c3acf69cd4107fb0d27b2ce932d6acf389af
|
| 3 |
+
size 14244
|
all_runs/checkpoint-53949/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ed73f12a3c5b70aab97a3c88e949c5d8700d25563522a263ccc09f551f7beea
|
| 3 |
+
size 1064
|
all_runs/checkpoint-53949/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 |
+
}
|
all_runs/checkpoint-53949/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
all_runs/checkpoint-53949/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 |
+
}
|
all_runs/checkpoint-53949/trainer_state.json
ADDED
|
@@ -0,0 +1,1123 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.7295133712588342,
|
| 3 |
+
"best_model_checkpoint": "bart-large/checkpoint-41104",
|
| 4 |
+
"epoch": 21.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 53949,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.19,
|
| 13 |
+
"learning_rate": 4.967886337096146e-05,
|
| 14 |
+
"loss": 2.0273,
|
| 15 |
+
"step": 500
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.39,
|
| 19 |
+
"learning_rate": 4.9354482937589206e-05,
|
| 20 |
+
"loss": 1.4983,
|
| 21 |
+
"step": 1000
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.58,
|
| 25 |
+
"learning_rate": 4.903140002595043e-05,
|
| 26 |
+
"loss": 1.4727,
|
| 27 |
+
"step": 1500
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.78,
|
| 31 |
+
"learning_rate": 4.870701959257818e-05,
|
| 32 |
+
"loss": 1.3945,
|
| 33 |
+
"step": 2000
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.97,
|
| 37 |
+
"learning_rate": 4.8383287920072665e-05,
|
| 38 |
+
"loss": 1.1685,
|
| 39 |
+
"step": 2500
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 1.0,
|
| 43 |
+
"eval_accuracy": 0.6847405112316034,
|
| 44 |
+
"eval_f1_macro": 0.4296023125768376,
|
| 45 |
+
"eval_f1_micro": 0.6847405112316034,
|
| 46 |
+
"eval_f1_weighted": 0.6471198955620663,
|
| 47 |
+
"eval_loss": 1.258675456047058,
|
| 48 |
+
"eval_macro_fpr": 0.03310536835500512,
|
| 49 |
+
"eval_macro_sensitivity": 0.47197476920519743,
|
| 50 |
+
"eval_macro_specificity": 0.9759825618150952,
|
| 51 |
+
"eval_precision": 0.6359796796355663,
|
| 52 |
+
"eval_precision_macro": 0.4175869918662546,
|
| 53 |
+
"eval_recall": 0.6847405112316034,
|
| 54 |
+
"eval_recall_macro": 0.47197476920519743,
|
| 55 |
+
"eval_runtime": 166.2079,
|
| 56 |
+
"eval_samples_per_second": 7.767,
|
| 57 |
+
"eval_steps_per_second": 3.887,
|
| 58 |
+
"eval_weighted_fpr": 0.03183916138621607,
|
| 59 |
+
"eval_weighted_sensitivity": 0.6847405112316034,
|
| 60 |
+
"eval_weighted_specificity": 0.9549979159948256,
|
| 61 |
+
"step": 2569
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"epoch": 1.17,
|
| 65 |
+
"learning_rate": 4.80589074867004e-05,
|
| 66 |
+
"loss": 1.2814,
|
| 67 |
+
"step": 3000
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 1.36,
|
| 71 |
+
"learning_rate": 4.7734527053328146e-05,
|
| 72 |
+
"loss": 1.2579,
|
| 73 |
+
"step": 3500
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 1.56,
|
| 77 |
+
"learning_rate": 4.741079538082263e-05,
|
| 78 |
+
"loss": 1.246,
|
| 79 |
+
"step": 4000
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 1.75,
|
| 83 |
+
"learning_rate": 4.708641494745037e-05,
|
| 84 |
+
"loss": 1.0685,
|
| 85 |
+
"step": 4500
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"epoch": 1.95,
|
| 89 |
+
"learning_rate": 4.676203451407811e-05,
|
| 90 |
+
"loss": 1.1965,
|
| 91 |
+
"step": 5000
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 2.0,
|
| 95 |
+
"eval_accuracy": 0.6638264910921766,
|
| 96 |
+
"eval_f1_macro": 0.3954707529203812,
|
| 97 |
+
"eval_f1_micro": 0.6638264910921766,
|
| 98 |
+
"eval_f1_weighted": 0.6467821848395333,
|
| 99 |
+
"eval_loss": 1.1623183488845825,
|
| 100 |
+
"eval_macro_fpr": 0.03422706134984445,
|
| 101 |
+
"eval_macro_sensitivity": 0.4261017849773373,
|
| 102 |
+
"eval_macro_specificity": 0.9752839802406176,
|
| 103 |
+
"eval_precision": 0.6943370263824146,
|
| 104 |
+
"eval_precision_macro": 0.45636498568634104,
|
| 105 |
+
"eval_recall": 0.6638264910921766,
|
| 106 |
+
"eval_recall_macro": 0.4261017849773373,
|
| 107 |
+
"eval_runtime": 320.2013,
|
| 108 |
+
"eval_samples_per_second": 4.032,
|
| 109 |
+
"eval_steps_per_second": 2.017,
|
| 110 |
+
"eval_weighted_fpr": 0.03490990990990991,
|
| 111 |
+
"eval_weighted_sensitivity": 0.6638264910921766,
|
| 112 |
+
"eval_weighted_specificity": 0.9654332125170877,
|
| 113 |
+
"step": 5138
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 2.14,
|
| 117 |
+
"learning_rate": 4.643765408070585e-05,
|
| 118 |
+
"loss": 1.0697,
|
| 119 |
+
"step": 5500
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 2.34,
|
| 123 |
+
"learning_rate": 4.611327364733359e-05,
|
| 124 |
+
"loss": 1.1042,
|
| 125 |
+
"step": 6000
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 2.53,
|
| 129 |
+
"learning_rate": 4.578954197482808e-05,
|
| 130 |
+
"loss": 1.124,
|
| 131 |
+
"step": 6500
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 2.72,
|
| 135 |
+
"learning_rate": 4.546516154145582e-05,
|
| 136 |
+
"loss": 1.1449,
|
| 137 |
+
"step": 7000
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 2.92,
|
| 141 |
+
"learning_rate": 4.514078110808356e-05,
|
| 142 |
+
"loss": 1.189,
|
| 143 |
+
"step": 7500
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 3.0,
|
| 147 |
+
"eval_accuracy": 0.7234701781564679,
|
| 148 |
+
"eval_f1_macro": 0.5196282925085354,
|
| 149 |
+
"eval_f1_micro": 0.7234701781564679,
|
| 150 |
+
"eval_f1_weighted": 0.7031290239201134,
|
| 151 |
+
"eval_loss": 1.357356309890747,
|
| 152 |
+
"eval_macro_fpr": 0.027073020005110214,
|
| 153 |
+
"eval_macro_sensitivity": 0.5527845991176076,
|
| 154 |
+
"eval_macro_specificity": 0.9790845865453512,
|
| 155 |
+
"eval_precision": 0.7219921821470505,
|
| 156 |
+
"eval_precision_macro": 0.5413306235947684,
|
| 157 |
+
"eval_recall": 0.7234701781564679,
|
| 158 |
+
"eval_recall_macro": 0.5527845991176076,
|
| 159 |
+
"eval_runtime": 290.3268,
|
| 160 |
+
"eval_samples_per_second": 4.447,
|
| 161 |
+
"eval_steps_per_second": 2.225,
|
| 162 |
+
"eval_weighted_fpr": 0.026576341844710787,
|
| 163 |
+
"eval_weighted_sensitivity": 0.7234701781564679,
|
| 164 |
+
"eval_weighted_specificity": 0.9627986200238022,
|
| 165 |
+
"step": 7707
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 3.11,
|
| 169 |
+
"learning_rate": 4.481704943557805e-05,
|
| 170 |
+
"loss": 0.9829,
|
| 171 |
+
"step": 8000
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 3.31,
|
| 175 |
+
"learning_rate": 4.4492669002205786e-05,
|
| 176 |
+
"loss": 0.9172,
|
| 177 |
+
"step": 8500
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 3.5,
|
| 181 |
+
"learning_rate": 4.416828856883353e-05,
|
| 182 |
+
"loss": 0.9911,
|
| 183 |
+
"step": 9000
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 3.7,
|
| 187 |
+
"learning_rate": 4.384390813546127e-05,
|
| 188 |
+
"loss": 0.9934,
|
| 189 |
+
"step": 9500
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 3.89,
|
| 193 |
+
"learning_rate": 4.351952770208901e-05,
|
| 194 |
+
"loss": 1.0127,
|
| 195 |
+
"step": 10000
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 4.0,
|
| 199 |
+
"eval_accuracy": 0.7668474051123161,
|
| 200 |
+
"eval_f1_macro": 0.6233324855492023,
|
| 201 |
+
"eval_f1_micro": 0.7668474051123161,
|
| 202 |
+
"eval_f1_weighted": 0.7569127961671379,
|
| 203 |
+
"eval_loss": 1.4684507846832275,
|
| 204 |
+
"eval_macro_fpr": 0.022371017412255348,
|
| 205 |
+
"eval_macro_sensitivity": 0.6201844239757082,
|
| 206 |
+
"eval_macro_specificity": 0.9821444214871504,
|
| 207 |
+
"eval_precision": 0.7584494799967734,
|
| 208 |
+
"eval_precision_macro": 0.6670503035550461,
|
| 209 |
+
"eval_recall": 0.7668474051123161,
|
| 210 |
+
"eval_recall_macro": 0.6201844239757082,
|
| 211 |
+
"eval_runtime": 296.0277,
|
| 212 |
+
"eval_samples_per_second": 4.361,
|
| 213 |
+
"eval_steps_per_second": 2.182,
|
| 214 |
+
"eval_weighted_fpr": 0.021255561047948592,
|
| 215 |
+
"eval_weighted_sensitivity": 0.7668474051123161,
|
| 216 |
+
"eval_weighted_specificity": 0.9653189171949409,
|
| 217 |
+
"step": 10276
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 4.09,
|
| 221 |
+
"learning_rate": 4.3196444790450244e-05,
|
| 222 |
+
"loss": 0.9926,
|
| 223 |
+
"step": 10500
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 4.28,
|
| 227 |
+
"learning_rate": 4.287206435707798e-05,
|
| 228 |
+
"loss": 1.1046,
|
| 229 |
+
"step": 11000
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 4.48,
|
| 233 |
+
"learning_rate": 4.2547683923705725e-05,
|
| 234 |
+
"loss": 0.8572,
|
| 235 |
+
"step": 11500
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 4.67,
|
| 239 |
+
"learning_rate": 4.222330349033346e-05,
|
| 240 |
+
"loss": 0.8623,
|
| 241 |
+
"step": 12000
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 4.87,
|
| 245 |
+
"learning_rate": 4.1898923056961206e-05,
|
| 246 |
+
"loss": 1.0205,
|
| 247 |
+
"step": 12500
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 5.0,
|
| 251 |
+
"eval_accuracy": 0.7668474051123161,
|
| 252 |
+
"eval_f1_macro": 0.6732447131282889,
|
| 253 |
+
"eval_f1_micro": 0.7668474051123161,
|
| 254 |
+
"eval_f1_weighted": 0.7643097206437405,
|
| 255 |
+
"eval_loss": 1.4232454299926758,
|
| 256 |
+
"eval_macro_fpr": 0.021536303183803004,
|
| 257 |
+
"eval_macro_sensitivity": 0.6871530786461169,
|
| 258 |
+
"eval_macro_specificity": 0.9827017397959152,
|
| 259 |
+
"eval_precision": 0.7710604143740172,
|
| 260 |
+
"eval_precision_macro": 0.6764905863857386,
|
| 261 |
+
"eval_recall": 0.7668474051123161,
|
| 262 |
+
"eval_recall_macro": 0.6871530786461169,
|
| 263 |
+
"eval_runtime": 288.8657,
|
| 264 |
+
"eval_samples_per_second": 4.469,
|
| 265 |
+
"eval_steps_per_second": 2.236,
|
| 266 |
+
"eval_weighted_fpr": 0.021255561047948592,
|
| 267 |
+
"eval_weighted_sensitivity": 0.7668474051123161,
|
| 268 |
+
"eval_weighted_specificity": 0.9736786918264111,
|
| 269 |
+
"step": 12845
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 5.06,
|
| 273 |
+
"learning_rate": 4.1574542623588944e-05,
|
| 274 |
+
"loss": 0.888,
|
| 275 |
+
"step": 13000
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 5.25,
|
| 279 |
+
"learning_rate": 4.125016219021669e-05,
|
| 280 |
+
"loss": 0.7739,
|
| 281 |
+
"step": 13500
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 5.45,
|
| 285 |
+
"learning_rate": 4.0925781756844425e-05,
|
| 286 |
+
"loss": 0.9572,
|
| 287 |
+
"step": 14000
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 5.64,
|
| 291 |
+
"learning_rate": 4.060140132347217e-05,
|
| 292 |
+
"loss": 0.8296,
|
| 293 |
+
"step": 14500
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 5.84,
|
| 297 |
+
"learning_rate": 4.0277020890099906e-05,
|
| 298 |
+
"loss": 0.7927,
|
| 299 |
+
"step": 15000
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 6.0,
|
| 303 |
+
"eval_accuracy": 0.7428350116189001,
|
| 304 |
+
"eval_f1_macro": 0.6107557579512543,
|
| 305 |
+
"eval_f1_micro": 0.7428350116189001,
|
| 306 |
+
"eval_f1_weighted": 0.729163687728552,
|
| 307 |
+
"eval_loss": 1.5677722692489624,
|
| 308 |
+
"eval_macro_fpr": 0.024790721920250693,
|
| 309 |
+
"eval_macro_sensitivity": 0.6332883060366477,
|
| 310 |
+
"eval_macro_specificity": 0.9807865890062467,
|
| 311 |
+
"eval_precision": 0.7451349692354797,
|
| 312 |
+
"eval_precision_macro": 0.6488747447950202,
|
| 313 |
+
"eval_recall": 0.7428350116189001,
|
| 314 |
+
"eval_recall_macro": 0.6332883060366477,
|
| 315 |
+
"eval_runtime": 291.455,
|
| 316 |
+
"eval_samples_per_second": 4.429,
|
| 317 |
+
"eval_steps_per_second": 2.216,
|
| 318 |
+
"eval_weighted_fpr": 0.024131414449774676,
|
| 319 |
+
"eval_weighted_sensitivity": 0.7428350116189001,
|
| 320 |
+
"eval_weighted_specificity": 0.9689638234747989,
|
| 321 |
+
"step": 15414
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 6.03,
|
| 325 |
+
"learning_rate": 3.995264045672765e-05,
|
| 326 |
+
"loss": 0.8196,
|
| 327 |
+
"step": 15500
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 6.23,
|
| 331 |
+
"learning_rate": 3.9628260023355394e-05,
|
| 332 |
+
"loss": 0.6989,
|
| 333 |
+
"step": 16000
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 6.42,
|
| 337 |
+
"learning_rate": 3.930387958998313e-05,
|
| 338 |
+
"loss": 0.7149,
|
| 339 |
+
"step": 16500
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 6.62,
|
| 343 |
+
"learning_rate": 3.8979499156610875e-05,
|
| 344 |
+
"loss": 0.7459,
|
| 345 |
+
"step": 17000
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 6.81,
|
| 349 |
+
"learning_rate": 3.865511872323861e-05,
|
| 350 |
+
"loss": 0.7701,
|
| 351 |
+
"step": 17500
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 7.0,
|
| 355 |
+
"eval_accuracy": 0.7467079783113865,
|
| 356 |
+
"eval_f1_macro": 0.6583574261846535,
|
| 357 |
+
"eval_f1_micro": 0.7467079783113864,
|
| 358 |
+
"eval_f1_weighted": 0.7399270546375634,
|
| 359 |
+
"eval_loss": 1.7336597442626953,
|
| 360 |
+
"eval_macro_fpr": 0.023989153033760927,
|
| 361 |
+
"eval_macro_sensitivity": 0.6536163621805403,
|
| 362 |
+
"eval_macro_specificity": 0.9809809544706846,
|
| 363 |
+
"eval_precision": 0.759972067375925,
|
| 364 |
+
"eval_precision_macro": 0.6862877418910309,
|
| 365 |
+
"eval_recall": 0.7467079783113865,
|
| 366 |
+
"eval_recall_macro": 0.6536163621805403,
|
| 367 |
+
"eval_runtime": 289.659,
|
| 368 |
+
"eval_samples_per_second": 4.457,
|
| 369 |
+
"eval_steps_per_second": 2.23,
|
| 370 |
+
"eval_weighted_fpr": 0.023656225132026334,
|
| 371 |
+
"eval_weighted_sensitivity": 0.7467079783113865,
|
| 372 |
+
"eval_weighted_specificity": 0.9680063387488825,
|
| 373 |
+
"step": 17983
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 7.01,
|
| 377 |
+
"learning_rate": 3.83313870507331e-05,
|
| 378 |
+
"loss": 0.826,
|
| 379 |
+
"step": 18000
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 7.2,
|
| 383 |
+
"learning_rate": 3.800765537822758e-05,
|
| 384 |
+
"loss": 0.6803,
|
| 385 |
+
"step": 18500
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 7.4,
|
| 389 |
+
"learning_rate": 3.7683274944855327e-05,
|
| 390 |
+
"loss": 0.6779,
|
| 391 |
+
"step": 19000
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 7.59,
|
| 395 |
+
"learning_rate": 3.7358894511483064e-05,
|
| 396 |
+
"loss": 0.616,
|
| 397 |
+
"step": 19500
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 7.79,
|
| 401 |
+
"learning_rate": 3.703451407811081e-05,
|
| 402 |
+
"loss": 0.608,
|
| 403 |
+
"step": 20000
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 7.98,
|
| 407 |
+
"learning_rate": 3.671013364473855e-05,
|
| 408 |
+
"loss": 0.584,
|
| 409 |
+
"step": 20500
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 8.0,
|
| 413 |
+
"eval_accuracy": 0.7691711851278079,
|
| 414 |
+
"eval_f1_macro": 0.6979809418287721,
|
| 415 |
+
"eval_f1_micro": 0.7691711851278079,
|
| 416 |
+
"eval_f1_weighted": 0.7682883483181749,
|
| 417 |
+
"eval_loss": 1.6188185214996338,
|
| 418 |
+
"eval_macro_fpr": 0.021432185448306138,
|
| 419 |
+
"eval_macro_sensitivity": 0.7065204224528159,
|
| 420 |
+
"eval_macro_specificity": 0.9826542042505794,
|
| 421 |
+
"eval_precision": 0.7766202006674988,
|
| 422 |
+
"eval_precision_macro": 0.6979437669181305,
|
| 423 |
+
"eval_recall": 0.7691711851278079,
|
| 424 |
+
"eval_recall_macro": 0.7065204224528159,
|
| 425 |
+
"eval_runtime": 303.6709,
|
| 426 |
+
"eval_samples_per_second": 4.251,
|
| 427 |
+
"eval_steps_per_second": 2.127,
|
| 428 |
+
"eval_weighted_fpr": 0.020985915492957745,
|
| 429 |
+
"eval_weighted_sensitivity": 0.7691711851278079,
|
| 430 |
+
"eval_weighted_specificity": 0.9706418786308822,
|
| 431 |
+
"step": 20552
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 8.17,
|
| 435 |
+
"learning_rate": 3.638575321136629e-05,
|
| 436 |
+
"loss": 0.5266,
|
| 437 |
+
"step": 21000
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 8.37,
|
| 441 |
+
"learning_rate": 3.606137277799403e-05,
|
| 442 |
+
"loss": 0.6717,
|
| 443 |
+
"step": 21500
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 8.56,
|
| 447 |
+
"learning_rate": 3.573699234462177e-05,
|
| 448 |
+
"loss": 0.5474,
|
| 449 |
+
"step": 22000
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 8.76,
|
| 453 |
+
"learning_rate": 3.5412611911249514e-05,
|
| 454 |
+
"loss": 0.638,
|
| 455 |
+
"step": 22500
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 8.95,
|
| 459 |
+
"learning_rate": 3.5088880238743996e-05,
|
| 460 |
+
"loss": 0.5659,
|
| 461 |
+
"step": 23000
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 9.0,
|
| 465 |
+
"eval_accuracy": 0.7598760650658405,
|
| 466 |
+
"eval_f1_macro": 0.6728187845754294,
|
| 467 |
+
"eval_f1_micro": 0.7598760650658405,
|
| 468 |
+
"eval_f1_weighted": 0.7542471407266271,
|
| 469 |
+
"eval_loss": 1.6982707977294922,
|
| 470 |
+
"eval_macro_fpr": 0.02271263520390573,
|
| 471 |
+
"eval_macro_sensitivity": 0.680403785625184,
|
| 472 |
+
"eval_macro_specificity": 0.9819588600237938,
|
| 473 |
+
"eval_precision": 0.766529422163196,
|
| 474 |
+
"eval_precision_macro": 0.7000337979719602,
|
| 475 |
+
"eval_recall": 0.7598760650658405,
|
| 476 |
+
"eval_recall_macro": 0.680403785625184,
|
| 477 |
+
"eval_runtime": 286.113,
|
| 478 |
+
"eval_samples_per_second": 4.512,
|
| 479 |
+
"eval_steps_per_second": 2.258,
|
| 480 |
+
"eval_weighted_fpr": 0.02207348333808032,
|
| 481 |
+
"eval_weighted_sensitivity": 0.7598760650658405,
|
| 482 |
+
"eval_weighted_specificity": 0.9695068352910698,
|
| 483 |
+
"step": 23121
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 9.15,
|
| 487 |
+
"learning_rate": 3.476449980537174e-05,
|
| 488 |
+
"loss": 0.5062,
|
| 489 |
+
"step": 23500
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 9.34,
|
| 493 |
+
"learning_rate": 3.4440119371999484e-05,
|
| 494 |
+
"loss": 0.4485,
|
| 495 |
+
"step": 24000
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 9.54,
|
| 499 |
+
"learning_rate": 3.411573893862722e-05,
|
| 500 |
+
"loss": 0.6239,
|
| 501 |
+
"step": 24500
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 9.73,
|
| 505 |
+
"learning_rate": 3.379200726612171e-05,
|
| 506 |
+
"loss": 0.6764,
|
| 507 |
+
"step": 25000
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 9.93,
|
| 511 |
+
"learning_rate": 3.3467626832749447e-05,
|
| 512 |
+
"loss": 0.7021,
|
| 513 |
+
"step": 25500
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 10.0,
|
| 517 |
+
"eval_accuracy": 0.7699457784663052,
|
| 518 |
+
"eval_f1_macro": 0.6953722525071192,
|
| 519 |
+
"eval_f1_micro": 0.7699457784663051,
|
| 520 |
+
"eval_f1_weighted": 0.7634449085212252,
|
| 521 |
+
"eval_loss": 1.6445409059524536,
|
| 522 |
+
"eval_macro_fpr": 0.022344139928734137,
|
| 523 |
+
"eval_macro_sensitivity": 0.6856644071349105,
|
| 524 |
+
"eval_macro_specificity": 0.9820521636968861,
|
| 525 |
+
"eval_precision": 0.7656296240571903,
|
| 526 |
+
"eval_precision_macro": 0.7143810783711486,
|
| 527 |
+
"eval_recall": 0.7699457784663052,
|
| 528 |
+
"eval_recall_macro": 0.6856644071349105,
|
| 529 |
+
"eval_runtime": 288.6164,
|
| 530 |
+
"eval_samples_per_second": 4.473,
|
| 531 |
+
"eval_steps_per_second": 2.238,
|
| 532 |
+
"eval_weighted_fpr": 0.0208963624850489,
|
| 533 |
+
"eval_weighted_sensitivity": 0.7699457784663052,
|
| 534 |
+
"eval_weighted_specificity": 0.9608366769869864,
|
| 535 |
+
"step": 25690
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 10.12,
|
| 539 |
+
"learning_rate": 3.314324639937719e-05,
|
| 540 |
+
"loss": 0.6243,
|
| 541 |
+
"step": 26000
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 10.32,
|
| 545 |
+
"learning_rate": 3.281886596600493e-05,
|
| 546 |
+
"loss": 0.6952,
|
| 547 |
+
"step": 26500
|
| 548 |
+
},
|
| 549 |
+
{
|
| 550 |
+
"epoch": 10.51,
|
| 551 |
+
"learning_rate": 3.249448553263267e-05,
|
| 552 |
+
"loss": 0.7705,
|
| 553 |
+
"step": 27000
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 10.7,
|
| 557 |
+
"learning_rate": 3.217010509926041e-05,
|
| 558 |
+
"loss": 0.6582,
|
| 559 |
+
"step": 27500
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 10.9,
|
| 563 |
+
"learning_rate": 3.184572466588815e-05,
|
| 564 |
+
"loss": 0.6216,
|
| 565 |
+
"step": 28000
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 11.0,
|
| 569 |
+
"eval_accuracy": 0.7676219984508134,
|
| 570 |
+
"eval_f1_macro": 0.6786279912338002,
|
| 571 |
+
"eval_f1_micro": 0.7676219984508135,
|
| 572 |
+
"eval_f1_weighted": 0.7623696014823479,
|
| 573 |
+
"eval_loss": 1.656176209449768,
|
| 574 |
+
"eval_macro_fpr": 0.022330481497328643,
|
| 575 |
+
"eval_macro_sensitivity": 0.6775994679116955,
|
| 576 |
+
"eval_macro_specificity": 0.9821081561015023,
|
| 577 |
+
"eval_precision": 0.7633744243747118,
|
| 578 |
+
"eval_precision_macro": 0.6856198086678005,
|
| 579 |
+
"eval_recall": 0.7676219984508134,
|
| 580 |
+
"eval_recall_macro": 0.6775994679116955,
|
| 581 |
+
"eval_runtime": 286.2474,
|
| 582 |
+
"eval_samples_per_second": 4.51,
|
| 583 |
+
"eval_steps_per_second": 2.257,
|
| 584 |
+
"eval_weighted_fpr": 0.021165514321998025,
|
| 585 |
+
"eval_weighted_sensitivity": 0.7676219984508134,
|
| 586 |
+
"eval_weighted_specificity": 0.9640003430717192,
|
| 587 |
+
"step": 28259
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 11.09,
|
| 591 |
+
"learning_rate": 3.15213442325159e-05,
|
| 592 |
+
"loss": 0.716,
|
| 593 |
+
"step": 28500
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 11.29,
|
| 597 |
+
"learning_rate": 3.119826132087712e-05,
|
| 598 |
+
"loss": 0.5161,
|
| 599 |
+
"step": 29000
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 11.48,
|
| 603 |
+
"learning_rate": 3.087388088750487e-05,
|
| 604 |
+
"loss": 0.5121,
|
| 605 |
+
"step": 29500
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 11.68,
|
| 609 |
+
"learning_rate": 3.0549500454132604e-05,
|
| 610 |
+
"loss": 0.4694,
|
| 611 |
+
"step": 30000
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 11.87,
|
| 615 |
+
"learning_rate": 3.0225120020760352e-05,
|
| 616 |
+
"loss": 0.6408,
|
| 617 |
+
"step": 30500
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 12.0,
|
| 621 |
+
"eval_accuracy": 0.7668474051123161,
|
| 622 |
+
"eval_f1_macro": 0.6665576721498584,
|
| 623 |
+
"eval_f1_micro": 0.7668474051123161,
|
| 624 |
+
"eval_f1_weighted": 0.760771317042359,
|
| 625 |
+
"eval_loss": 1.6681983470916748,
|
| 626 |
+
"eval_macro_fpr": 0.022265012904393446,
|
| 627 |
+
"eval_macro_sensitivity": 0.6719396221017415,
|
| 628 |
+
"eval_macro_specificity": 0.9822275271243499,
|
| 629 |
+
"eval_precision": 0.7628875217070834,
|
| 630 |
+
"eval_precision_macro": 0.6705561723407458,
|
| 631 |
+
"eval_recall": 0.7668474051123161,
|
| 632 |
+
"eval_recall_macro": 0.6719396221017415,
|
| 633 |
+
"eval_runtime": 285.4858,
|
| 634 |
+
"eval_samples_per_second": 4.522,
|
| 635 |
+
"eval_steps_per_second": 2.263,
|
| 636 |
+
"eval_weighted_fpr": 0.021255561047948592,
|
| 637 |
+
"eval_weighted_sensitivity": 0.7668474051123161,
|
| 638 |
+
"eval_weighted_specificity": 0.9665655017529341,
|
| 639 |
+
"step": 30828
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 12.07,
|
| 643 |
+
"learning_rate": 2.990073958738809e-05,
|
| 644 |
+
"loss": 0.518,
|
| 645 |
+
"step": 31000
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 12.26,
|
| 649 |
+
"learning_rate": 2.9577007914882577e-05,
|
| 650 |
+
"loss": 0.3736,
|
| 651 |
+
"step": 31500
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 12.46,
|
| 655 |
+
"learning_rate": 2.9252627481510315e-05,
|
| 656 |
+
"loss": 0.4537,
|
| 657 |
+
"step": 32000
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 12.65,
|
| 661 |
+
"learning_rate": 2.892824704813806e-05,
|
| 662 |
+
"loss": 0.5017,
|
| 663 |
+
"step": 32500
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 12.85,
|
| 667 |
+
"learning_rate": 2.86038666147658e-05,
|
| 668 |
+
"loss": 0.523,
|
| 669 |
+
"step": 33000
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 13.0,
|
| 673 |
+
"eval_accuracy": 0.7652982184353214,
|
| 674 |
+
"eval_f1_macro": 0.7065905031891068,
|
| 675 |
+
"eval_f1_micro": 0.7652982184353214,
|
| 676 |
+
"eval_f1_weighted": 0.7533906957445078,
|
| 677 |
+
"eval_loss": 1.7727322578430176,
|
| 678 |
+
"eval_macro_fpr": 0.02260077041026825,
|
| 679 |
+
"eval_macro_sensitivity": 0.6934075054851363,
|
| 680 |
+
"eval_macro_specificity": 0.9820770689956008,
|
| 681 |
+
"eval_precision": 0.7674159154971928,
|
| 682 |
+
"eval_precision_macro": 0.8238391848974315,
|
| 683 |
+
"eval_recall": 0.7652982184353214,
|
| 684 |
+
"eval_recall_macro": 0.6934075054851363,
|
| 685 |
+
"eval_runtime": 282.4043,
|
| 686 |
+
"eval_samples_per_second": 4.571,
|
| 687 |
+
"eval_steps_per_second": 2.288,
|
| 688 |
+
"eval_weighted_fpr": 0.02143615139724089,
|
| 689 |
+
"eval_weighted_sensitivity": 0.7652982184353214,
|
| 690 |
+
"eval_weighted_specificity": 0.9658578164986904,
|
| 691 |
+
"step": 33397
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 13.04,
|
| 695 |
+
"learning_rate": 2.8280134942260284e-05,
|
| 696 |
+
"loss": 0.4438,
|
| 697 |
+
"step": 33500
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 13.23,
|
| 701 |
+
"learning_rate": 2.7955754508888028e-05,
|
| 702 |
+
"loss": 0.3444,
|
| 703 |
+
"step": 34000
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 13.43,
|
| 707 |
+
"learning_rate": 2.7631374075515765e-05,
|
| 708 |
+
"loss": 0.3751,
|
| 709 |
+
"step": 34500
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 13.62,
|
| 713 |
+
"learning_rate": 2.730699364214351e-05,
|
| 714 |
+
"loss": 0.3835,
|
| 715 |
+
"step": 35000
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 13.82,
|
| 719 |
+
"learning_rate": 2.6982613208771247e-05,
|
| 720 |
+
"loss": 0.3688,
|
| 721 |
+
"step": 35500
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 14.0,
|
| 725 |
+
"eval_accuracy": 0.7792408985282726,
|
| 726 |
+
"eval_f1_macro": 0.6960443476037717,
|
| 727 |
+
"eval_f1_micro": 0.7792408985282726,
|
| 728 |
+
"eval_f1_weighted": 0.7731313238375468,
|
| 729 |
+
"eval_loss": 1.840445876121521,
|
| 730 |
+
"eval_macro_fpr": 0.020905039822376084,
|
| 731 |
+
"eval_macro_sensitivity": 0.6920728491541597,
|
| 732 |
+
"eval_macro_specificity": 0.9831130726980227,
|
| 733 |
+
"eval_precision": 0.7787988846597094,
|
| 734 |
+
"eval_precision_macro": 0.7228983794850382,
|
| 735 |
+
"eval_recall": 0.7792408985282726,
|
| 736 |
+
"eval_recall_macro": 0.6920728491541597,
|
| 737 |
+
"eval_runtime": 289.1315,
|
| 738 |
+
"eval_samples_per_second": 4.465,
|
| 739 |
+
"eval_steps_per_second": 2.234,
|
| 740 |
+
"eval_weighted_fpr": 0.019834365648270583,
|
| 741 |
+
"eval_weighted_sensitivity": 0.7792408985282726,
|
| 742 |
+
"eval_weighted_specificity": 0.9674551919420677,
|
| 743 |
+
"step": 35966
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 14.01,
|
| 747 |
+
"learning_rate": 2.665823277539899e-05,
|
| 748 |
+
"loss": 0.3816,
|
| 749 |
+
"step": 36000
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 14.21,
|
| 753 |
+
"learning_rate": 2.633385234202673e-05,
|
| 754 |
+
"loss": 0.3767,
|
| 755 |
+
"step": 36500
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 14.4,
|
| 759 |
+
"learning_rate": 2.6009471908654472e-05,
|
| 760 |
+
"loss": 0.3859,
|
| 761 |
+
"step": 37000
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 14.6,
|
| 765 |
+
"learning_rate": 2.5685091475282212e-05,
|
| 766 |
+
"loss": 0.3066,
|
| 767 |
+
"step": 37500
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 14.79,
|
| 771 |
+
"learning_rate": 2.5360711041909953e-05,
|
| 772 |
+
"loss": 0.402,
|
| 773 |
+
"step": 38000
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 14.99,
|
| 777 |
+
"learning_rate": 2.5036330608537694e-05,
|
| 778 |
+
"loss": 0.2394,
|
| 779 |
+
"step": 38500
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 15.0,
|
| 783 |
+
"eval_accuracy": 0.7815646785437645,
|
| 784 |
+
"eval_f1_macro": 0.7230355619154473,
|
| 785 |
+
"eval_f1_micro": 0.7815646785437644,
|
| 786 |
+
"eval_f1_weighted": 0.7765270107358122,
|
| 787 |
+
"eval_loss": 1.7884501218795776,
|
| 788 |
+
"eval_macro_fpr": 0.020978052492475165,
|
| 789 |
+
"eval_macro_sensitivity": 0.711481022624799,
|
| 790 |
+
"eval_macro_specificity": 0.9829555212885144,
|
| 791 |
+
"eval_precision": 0.7809140931231899,
|
| 792 |
+
"eval_precision_macro": 0.7440727141565046,
|
| 793 |
+
"eval_recall": 0.7815646785437645,
|
| 794 |
+
"eval_recall_macro": 0.711481022624799,
|
| 795 |
+
"eval_runtime": 286.1698,
|
| 796 |
+
"eval_samples_per_second": 4.511,
|
| 797 |
+
"eval_steps_per_second": 2.257,
|
| 798 |
+
"eval_weighted_fpr": 0.01957245974458634,
|
| 799 |
+
"eval_weighted_sensitivity": 0.7815646785437645,
|
| 800 |
+
"eval_weighted_specificity": 0.9627681407839513,
|
| 801 |
+
"step": 38535
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 15.18,
|
| 805 |
+
"learning_rate": 2.4711950175165434e-05,
|
| 806 |
+
"loss": 0.4596,
|
| 807 |
+
"step": 39000
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 15.38,
|
| 811 |
+
"learning_rate": 2.4387569741793175e-05,
|
| 812 |
+
"loss": 0.5262,
|
| 813 |
+
"step": 39500
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 15.57,
|
| 817 |
+
"learning_rate": 2.4063189308420915e-05,
|
| 818 |
+
"loss": 0.4665,
|
| 819 |
+
"step": 40000
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 15.76,
|
| 823 |
+
"learning_rate": 2.3738808875048656e-05,
|
| 824 |
+
"loss": 0.3048,
|
| 825 |
+
"step": 40500
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 15.96,
|
| 829 |
+
"learning_rate": 2.341572596340989e-05,
|
| 830 |
+
"loss": 0.2734,
|
| 831 |
+
"step": 41000
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 16.0,
|
| 835 |
+
"eval_accuracy": 0.7776917118512781,
|
| 836 |
+
"eval_f1_macro": 0.7295133712588342,
|
| 837 |
+
"eval_f1_micro": 0.7776917118512781,
|
| 838 |
+
"eval_f1_weighted": 0.7776503309668394,
|
| 839 |
+
"eval_loss": 1.8943842649459839,
|
| 840 |
+
"eval_macro_fpr": 0.0202894340480138,
|
| 841 |
+
"eval_macro_sensitivity": 0.7265129858866516,
|
| 842 |
+
"eval_macro_specificity": 0.9833416395469147,
|
| 843 |
+
"eval_precision": 0.787044263189245,
|
| 844 |
+
"eval_precision_macro": 0.7538684462791384,
|
| 845 |
+
"eval_recall": 0.7776917118512781,
|
| 846 |
+
"eval_recall_macro": 0.7265129858866516,
|
| 847 |
+
"eval_runtime": 289.6948,
|
| 848 |
+
"eval_samples_per_second": 4.456,
|
| 849 |
+
"eval_steps_per_second": 2.23,
|
| 850 |
+
"eval_weighted_fpr": 0.02000976085895559,
|
| 851 |
+
"eval_weighted_sensitivity": 0.7776917118512781,
|
| 852 |
+
"eval_weighted_specificity": 0.9724328813524437,
|
| 853 |
+
"step": 41104
|
| 854 |
+
},
|
| 855 |
+
{
|
| 856 |
+
"epoch": 16.15,
|
| 857 |
+
"learning_rate": 2.309134553003763e-05,
|
| 858 |
+
"loss": 0.2378,
|
| 859 |
+
"step": 41500
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 16.35,
|
| 863 |
+
"learning_rate": 2.276696509666537e-05,
|
| 864 |
+
"loss": 0.2691,
|
| 865 |
+
"step": 42000
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 16.54,
|
| 869 |
+
"learning_rate": 2.244258466329311e-05,
|
| 870 |
+
"loss": 0.3306,
|
| 871 |
+
"step": 42500
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 16.74,
|
| 875 |
+
"learning_rate": 2.211820422992085e-05,
|
| 876 |
+
"loss": 0.2808,
|
| 877 |
+
"step": 43000
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 16.93,
|
| 881 |
+
"learning_rate": 2.1794472557415336e-05,
|
| 882 |
+
"loss": 0.4319,
|
| 883 |
+
"step": 43500
|
| 884 |
+
},
|
| 885 |
+
{
|
| 886 |
+
"epoch": 17.0,
|
| 887 |
+
"eval_accuracy": 0.7885360185902401,
|
| 888 |
+
"eval_f1_macro": 0.7269032248062757,
|
| 889 |
+
"eval_f1_micro": 0.7885360185902401,
|
| 890 |
+
"eval_f1_weighted": 0.7855493274616836,
|
| 891 |
+
"eval_loss": 1.7744460105895996,
|
| 892 |
+
"eval_macro_fpr": 0.01947959283678764,
|
| 893 |
+
"eval_macro_sensitivity": 0.7319521995692674,
|
| 894 |
+
"eval_macro_specificity": 0.9840228815937803,
|
| 895 |
+
"eval_precision": 0.7847388778381785,
|
| 896 |
+
"eval_precision_macro": 0.7247172757956307,
|
| 897 |
+
"eval_recall": 0.7885360185902401,
|
| 898 |
+
"eval_recall_macro": 0.7319521995692674,
|
| 899 |
+
"eval_runtime": 288.2495,
|
| 900 |
+
"eval_samples_per_second": 4.479,
|
| 901 |
+
"eval_steps_per_second": 2.241,
|
| 902 |
+
"eval_weighted_fpr": 0.018795180722891568,
|
| 903 |
+
"eval_weighted_sensitivity": 0.7885360185902401,
|
| 904 |
+
"eval_weighted_specificity": 0.9718072053164638,
|
| 905 |
+
"step": 43673
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 17.13,
|
| 909 |
+
"learning_rate": 2.1470092124043077e-05,
|
| 910 |
+
"loss": 0.1443,
|
| 911 |
+
"step": 44000
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 17.32,
|
| 915 |
+
"learning_rate": 2.1145711690670818e-05,
|
| 916 |
+
"loss": 0.3099,
|
| 917 |
+
"step": 44500
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 17.52,
|
| 921 |
+
"learning_rate": 2.0821331257298558e-05,
|
| 922 |
+
"loss": 0.2612,
|
| 923 |
+
"step": 45000
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 17.71,
|
| 927 |
+
"learning_rate": 2.0496950823926302e-05,
|
| 928 |
+
"loss": 0.1737,
|
| 929 |
+
"step": 45500
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 17.91,
|
| 933 |
+
"learning_rate": 2.0173219151420787e-05,
|
| 934 |
+
"loss": 0.2347,
|
| 935 |
+
"step": 46000
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 18.0,
|
| 939 |
+
"eval_accuracy": 0.7412858249419055,
|
| 940 |
+
"eval_f1_macro": 0.6825268580987619,
|
| 941 |
+
"eval_f1_micro": 0.7412858249419055,
|
| 942 |
+
"eval_f1_weighted": 0.7354314259956967,
|
| 943 |
+
"eval_loss": 2.0036449432373047,
|
| 944 |
+
"eval_macro_fpr": 0.025493876443533448,
|
| 945 |
+
"eval_macro_sensitivity": 0.6799085681343341,
|
| 946 |
+
"eval_macro_specificity": 0.980067466354203,
|
| 947 |
+
"eval_precision": 0.7352104687796146,
|
| 948 |
+
"eval_precision_macro": 0.6933956510787752,
|
| 949 |
+
"eval_recall": 0.7412858249419055,
|
| 950 |
+
"eval_recall_macro": 0.6799085681343341,
|
| 951 |
+
"eval_runtime": 284.7586,
|
| 952 |
+
"eval_samples_per_second": 4.534,
|
| 953 |
+
"eval_steps_per_second": 2.269,
|
| 954 |
+
"eval_weighted_fpr": 0.024322749781532187,
|
| 955 |
+
"eval_weighted_sensitivity": 0.7412858249419055,
|
| 956 |
+
"eval_weighted_specificity": 0.9597261703711405,
|
| 957 |
+
"step": 46242
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 18.1,
|
| 961 |
+
"learning_rate": 1.9848838718048528e-05,
|
| 962 |
+
"loss": 0.2375,
|
| 963 |
+
"step": 46500
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 18.3,
|
| 967 |
+
"learning_rate": 1.952445828467627e-05,
|
| 968 |
+
"loss": 0.1648,
|
| 969 |
+
"step": 47000
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 18.49,
|
| 973 |
+
"learning_rate": 1.9200726612170754e-05,
|
| 974 |
+
"loss": 0.1856,
|
| 975 |
+
"step": 47500
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 18.68,
|
| 979 |
+
"learning_rate": 1.8876346178798494e-05,
|
| 980 |
+
"loss": 0.3288,
|
| 981 |
+
"step": 48000
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 18.88,
|
| 985 |
+
"learning_rate": 1.8551965745426235e-05,
|
| 986 |
+
"loss": 0.1882,
|
| 987 |
+
"step": 48500
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"epoch": 19.0,
|
| 991 |
+
"eval_accuracy": 0.7815646785437645,
|
| 992 |
+
"eval_f1_macro": 0.7224569664119563,
|
| 993 |
+
"eval_f1_micro": 0.7815646785437644,
|
| 994 |
+
"eval_f1_weighted": 0.7792243003941057,
|
| 995 |
+
"eval_loss": 1.9297939538955688,
|
| 996 |
+
"eval_macro_fpr": 0.020184156724894552,
|
| 997 |
+
"eval_macro_sensitivity": 0.7261931252462459,
|
| 998 |
+
"eval_macro_specificity": 0.9834902475280387,
|
| 999 |
+
"eval_precision": 0.7803663621729094,
|
| 1000 |
+
"eval_precision_macro": 0.7242785000954916,
|
| 1001 |
+
"eval_recall": 0.7815646785437645,
|
| 1002 |
+
"eval_recall_macro": 0.7261931252462459,
|
| 1003 |
+
"eval_runtime": 290.7761,
|
| 1004 |
+
"eval_samples_per_second": 4.44,
|
| 1005 |
+
"eval_steps_per_second": 2.222,
|
| 1006 |
+
"eval_weighted_fpr": 0.01957245974458634,
|
| 1007 |
+
"eval_weighted_sensitivity": 0.7815646785437645,
|
| 1008 |
+
"eval_weighted_specificity": 0.9707890343768164,
|
| 1009 |
+
"step": 48811
|
| 1010 |
+
},
|
| 1011 |
+
{
|
| 1012 |
+
"epoch": 19.07,
|
| 1013 |
+
"learning_rate": 1.8227585312053975e-05,
|
| 1014 |
+
"loss": 0.2023,
|
| 1015 |
+
"step": 49000
|
| 1016 |
+
},
|
| 1017 |
+
{
|
| 1018 |
+
"epoch": 19.27,
|
| 1019 |
+
"learning_rate": 1.7903204878681716e-05,
|
| 1020 |
+
"loss": 0.1941,
|
| 1021 |
+
"step": 49500
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 19.46,
|
| 1025 |
+
"learning_rate": 1.757882444530946e-05,
|
| 1026 |
+
"loss": 0.1347,
|
| 1027 |
+
"step": 50000
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 19.66,
|
| 1031 |
+
"learning_rate": 1.72544440119372e-05,
|
| 1032 |
+
"loss": 0.1518,
|
| 1033 |
+
"step": 50500
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 19.85,
|
| 1037 |
+
"learning_rate": 1.693006357856494e-05,
|
| 1038 |
+
"loss": 0.1799,
|
| 1039 |
+
"step": 51000
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 20.0,
|
| 1043 |
+
"eval_accuracy": 0.7792408985282726,
|
| 1044 |
+
"eval_f1_macro": 0.7242164682622322,
|
| 1045 |
+
"eval_f1_micro": 0.7792408985282726,
|
| 1046 |
+
"eval_f1_weighted": 0.77792735433031,
|
| 1047 |
+
"eval_loss": 1.9687796831130981,
|
| 1048 |
+
"eval_macro_fpr": 0.020494577008212903,
|
| 1049 |
+
"eval_macro_sensitivity": 0.7343346620007255,
|
| 1050 |
+
"eval_macro_specificity": 0.9833745449065493,
|
| 1051 |
+
"eval_precision": 0.7891902482075702,
|
| 1052 |
+
"eval_precision_macro": 0.7312255238513404,
|
| 1053 |
+
"eval_recall": 0.7792408985282726,
|
| 1054 |
+
"eval_recall_macro": 0.7343346620007255,
|
| 1055 |
+
"eval_runtime": 285.0268,
|
| 1056 |
+
"eval_samples_per_second": 4.529,
|
| 1057 |
+
"eval_steps_per_second": 2.266,
|
| 1058 |
+
"eval_weighted_fpr": 0.019834365648270583,
|
| 1059 |
+
"eval_weighted_sensitivity": 0.7792408985282726,
|
| 1060 |
+
"eval_weighted_specificity": 0.9713772750699678,
|
| 1061 |
+
"step": 51380
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 20.05,
|
| 1065 |
+
"learning_rate": 1.660568314519268e-05,
|
| 1066 |
+
"loss": 0.1389,
|
| 1067 |
+
"step": 51500
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 20.24,
|
| 1071 |
+
"learning_rate": 1.6281302711820422e-05,
|
| 1072 |
+
"loss": 0.113,
|
| 1073 |
+
"step": 52000
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 20.44,
|
| 1077 |
+
"learning_rate": 1.5956922278448163e-05,
|
| 1078 |
+
"loss": 0.1118,
|
| 1079 |
+
"step": 52500
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 20.63,
|
| 1083 |
+
"learning_rate": 1.5632541845075907e-05,
|
| 1084 |
+
"loss": 0.1845,
|
| 1085 |
+
"step": 53000
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 20.83,
|
| 1089 |
+
"learning_rate": 1.5308161411703647e-05,
|
| 1090 |
+
"loss": 0.1366,
|
| 1091 |
+
"step": 53500
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 21.0,
|
| 1095 |
+
"eval_accuracy": 0.7846630518977536,
|
| 1096 |
+
"eval_f1_macro": 0.7265114805047838,
|
| 1097 |
+
"eval_f1_micro": 0.7846630518977536,
|
| 1098 |
+
"eval_f1_weighted": 0.7832740678095101,
|
| 1099 |
+
"eval_loss": 1.9910492897033691,
|
| 1100 |
+
"eval_macro_fpr": 0.019831051752647592,
|
| 1101 |
+
"eval_macro_sensitivity": 0.745505358404397,
|
| 1102 |
+
"eval_macro_specificity": 0.9838452330123495,
|
| 1103 |
+
"eval_precision": 0.784616464055549,
|
| 1104 |
+
"eval_precision_macro": 0.7147611761715634,
|
| 1105 |
+
"eval_recall": 0.7846630518977536,
|
| 1106 |
+
"eval_recall_macro": 0.745505358404397,
|
| 1107 |
+
"eval_runtime": 290.3707,
|
| 1108 |
+
"eval_samples_per_second": 4.446,
|
| 1109 |
+
"eval_steps_per_second": 2.225,
|
| 1110 |
+
"eval_weighted_fpr": 0.01922544951590595,
|
| 1111 |
+
"eval_weighted_sensitivity": 0.7846630518977536,
|
| 1112 |
+
"eval_weighted_specificity": 0.9730154432874895,
|
| 1113 |
+
"step": 53949
|
| 1114 |
+
}
|
| 1115 |
+
],
|
| 1116 |
+
"logging_steps": 500,
|
| 1117 |
+
"max_steps": 77070,
|
| 1118 |
+
"num_train_epochs": 30,
|
| 1119 |
+
"save_steps": 500,
|
| 1120 |
+
"total_flos": 1.1726612562141389e+17,
|
| 1121 |
+
"trial_name": null,
|
| 1122 |
+
"trial_params": null
|
| 1123 |
+
}
|
all_runs/checkpoint-53949/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6e37f60a60daa651d8e7f2ff3947107bcf8c19f622a0416af7b872e6562bd538
|
| 3 |
+
size 4600
|
all_runs/checkpoint-53949/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|