Upload 10 files
Browse files- all_results.json +8 -0
- config.json +92 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +13 -0
- train_results.json +8 -0
- trainer_state.json +286 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"total_flos": 1.929975843125117e+16,
|
| 4 |
+
"train_loss": 0.1132796828881914,
|
| 5 |
+
"train_runtime": 2485.5568,
|
| 6 |
+
"train_samples_per_second": 211.269,
|
| 7 |
+
"train_steps_per_second": 4.401
|
| 8 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "bert-base-cased",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"BertForTokenClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"classifier_dropout": null,
|
| 8 |
+
"gradient_checkpointing": false,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.1,
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
+
"id2label": {
|
| 13 |
+
"0": "O",
|
| 14 |
+
"1": "B-PER",
|
| 15 |
+
"2": "I-PER",
|
| 16 |
+
"3": "B-ORG",
|
| 17 |
+
"4": "I-ORG",
|
| 18 |
+
"5": "B-LOC",
|
| 19 |
+
"6": "I-LOC",
|
| 20 |
+
"7": "B-ANIM",
|
| 21 |
+
"8": "I-ANIM",
|
| 22 |
+
"9": "B-BIO",
|
| 23 |
+
"10": "I-BIO",
|
| 24 |
+
"11": "B-CEL",
|
| 25 |
+
"12": "I-CEL",
|
| 26 |
+
"13": "B-DIS",
|
| 27 |
+
"14": "I-DIS",
|
| 28 |
+
"15": "B-EVE",
|
| 29 |
+
"16": "I-EVE",
|
| 30 |
+
"17": "B-FOOD",
|
| 31 |
+
"18": "I-FOOD",
|
| 32 |
+
"19": "B-INST",
|
| 33 |
+
"20": "I-INST",
|
| 34 |
+
"21": "B-MEDIA",
|
| 35 |
+
"22": "I-MEDIA",
|
| 36 |
+
"23": "B-MYTH",
|
| 37 |
+
"24": "I-MYTH",
|
| 38 |
+
"25": "B-PLANT",
|
| 39 |
+
"26": "I-PLANT",
|
| 40 |
+
"27": "B-TIME",
|
| 41 |
+
"28": "I-TIME",
|
| 42 |
+
"29": "B-VEHI",
|
| 43 |
+
"30": "I-VEHI"
|
| 44 |
+
},
|
| 45 |
+
"initializer_range": 0.02,
|
| 46 |
+
"intermediate_size": 3072,
|
| 47 |
+
"label2id": {
|
| 48 |
+
"B-ANIM": 7,
|
| 49 |
+
"B-BIO": 9,
|
| 50 |
+
"B-CEL": 11,
|
| 51 |
+
"B-DIS": 13,
|
| 52 |
+
"B-EVE": 15,
|
| 53 |
+
"B-FOOD": 17,
|
| 54 |
+
"B-INST": 19,
|
| 55 |
+
"B-LOC": 5,
|
| 56 |
+
"B-MEDIA": 21,
|
| 57 |
+
"B-MYTH": 23,
|
| 58 |
+
"B-ORG": 3,
|
| 59 |
+
"B-PER": 1,
|
| 60 |
+
"B-PLANT": 25,
|
| 61 |
+
"B-TIME": 27,
|
| 62 |
+
"B-VEHI": 29,
|
| 63 |
+
"I-ANIM": 8,
|
| 64 |
+
"I-BIO": 10,
|
| 65 |
+
"I-CEL": 12,
|
| 66 |
+
"I-DIS": 14,
|
| 67 |
+
"I-EVE": 16,
|
| 68 |
+
"I-FOOD": 18,
|
| 69 |
+
"I-INST": 20,
|
| 70 |
+
"I-LOC": 6,
|
| 71 |
+
"I-MEDIA": 22,
|
| 72 |
+
"I-MYTH": 24,
|
| 73 |
+
"I-ORG": 4,
|
| 74 |
+
"I-PER": 2,
|
| 75 |
+
"I-PLANT": 26,
|
| 76 |
+
"I-TIME": 28,
|
| 77 |
+
"I-VEHI": 30,
|
| 78 |
+
"O": 0
|
| 79 |
+
},
|
| 80 |
+
"layer_norm_eps": 1e-12,
|
| 81 |
+
"max_position_embeddings": 512,
|
| 82 |
+
"model_type": "bert",
|
| 83 |
+
"num_attention_heads": 12,
|
| 84 |
+
"num_hidden_layers": 12,
|
| 85 |
+
"pad_token_id": 0,
|
| 86 |
+
"position_embedding_type": "absolute",
|
| 87 |
+
"torch_dtype": "float32",
|
| 88 |
+
"transformers_version": "4.33.0.dev0",
|
| 89 |
+
"type_vocab_size": 2,
|
| 90 |
+
"use_cache": true,
|
| 91 |
+
"vocab_size": 28996
|
| 92 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c8ae503b7cc85256bdd8d206cb41cb5e51c49dcf386f4d730d63b6b183b9d0e4
|
| 3 |
+
size 431040051
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": "[CLS]",
|
| 3 |
+
"mask_token": "[MASK]",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
+
"unk_token": "[UNK]"
|
| 7 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clean_up_tokenization_spaces": true,
|
| 3 |
+
"cls_token": "[CLS]",
|
| 4 |
+
"do_lower_case": false,
|
| 5 |
+
"mask_token": "[MASK]",
|
| 6 |
+
"model_max_length": 512,
|
| 7 |
+
"pad_token": "[PAD]",
|
| 8 |
+
"sep_token": "[SEP]",
|
| 9 |
+
"strip_accents": null,
|
| 10 |
+
"tokenize_chinese_chars": true,
|
| 11 |
+
"tokenizer_class": "BertTokenizer",
|
| 12 |
+
"unk_token": "[UNK]"
|
| 13 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"total_flos": 1.929975843125117e+16,
|
| 4 |
+
"train_loss": 0.1132796828881914,
|
| 5 |
+
"train_runtime": 2485.5568,
|
| 6 |
+
"train_samples_per_second": 211.269,
|
| 7 |
+
"train_steps_per_second": 4.401
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,286 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 10940,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"learning_rate": 1.9998171846435103e-05,
|
| 14 |
+
"loss": 3.4748,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.23,
|
| 19 |
+
"learning_rate": 1.7714808043875687e-05,
|
| 20 |
+
"loss": 0.3223,
|
| 21 |
+
"step": 1250
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.46,
|
| 25 |
+
"learning_rate": 1.5429616087751372e-05,
|
| 26 |
+
"loss": 0.1466,
|
| 27 |
+
"step": 2500
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.69,
|
| 31 |
+
"learning_rate": 1.3144424131627058e-05,
|
| 32 |
+
"loss": 0.1219,
|
| 33 |
+
"step": 3750
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.91,
|
| 37 |
+
"learning_rate": 1.0859232175502743e-05,
|
| 38 |
+
"loss": 0.1025,
|
| 39 |
+
"step": 5000
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 1.0,
|
| 43 |
+
"eval_ANIM": {
|
| 44 |
+
"f1": 0.6988922457200403,
|
| 45 |
+
"number": 3208,
|
| 46 |
+
"precision": 0.5861486486486487,
|
| 47 |
+
"recall": 0.8653366583541147
|
| 48 |
+
},
|
| 49 |
+
"eval_BIO": {
|
| 50 |
+
"f1": 0.5263157894736842,
|
| 51 |
+
"number": 16,
|
| 52 |
+
"precision": 0.45454545454545453,
|
| 53 |
+
"recall": 0.625
|
| 54 |
+
},
|
| 55 |
+
"eval_CEL": {
|
| 56 |
+
"f1": 0.7659574468085106,
|
| 57 |
+
"number": 82,
|
| 58 |
+
"precision": 0.6792452830188679,
|
| 59 |
+
"recall": 0.8780487804878049
|
| 60 |
+
},
|
| 61 |
+
"eval_DIS": {
|
| 62 |
+
"f1": 0.6575342465753424,
|
| 63 |
+
"number": 1518,
|
| 64 |
+
"precision": 0.5229571984435798,
|
| 65 |
+
"recall": 0.8853754940711462
|
| 66 |
+
},
|
| 67 |
+
"eval_EVE": {
|
| 68 |
+
"f1": 0.958100558659218,
|
| 69 |
+
"number": 704,
|
| 70 |
+
"precision": 0.9423076923076923,
|
| 71 |
+
"recall": 0.9744318181818182
|
| 72 |
+
},
|
| 73 |
+
"eval_FOOD": {
|
| 74 |
+
"f1": 0.53125,
|
| 75 |
+
"number": 1132,
|
| 76 |
+
"precision": 0.38825448613376834,
|
| 77 |
+
"recall": 0.8409893992932862
|
| 78 |
+
},
|
| 79 |
+
"eval_INST": {
|
| 80 |
+
"f1": 0.5454545454545454,
|
| 81 |
+
"number": 24,
|
| 82 |
+
"precision": 0.42857142857142855,
|
| 83 |
+
"recall": 0.75
|
| 84 |
+
},
|
| 85 |
+
"eval_LOC": {
|
| 86 |
+
"f1": 0.9938849369774116,
|
| 87 |
+
"number": 24048,
|
| 88 |
+
"precision": 0.9942571785268415,
|
| 89 |
+
"recall": 0.9935129740518962
|
| 90 |
+
},
|
| 91 |
+
"eval_MEDIA": {
|
| 92 |
+
"f1": 0.9480381760339343,
|
| 93 |
+
"number": 916,
|
| 94 |
+
"precision": 0.9216494845360824,
|
| 95 |
+
"recall": 0.9759825327510917
|
| 96 |
+
},
|
| 97 |
+
"eval_MYTH": {
|
| 98 |
+
"f1": 0.6987951807228915,
|
| 99 |
+
"number": 64,
|
| 100 |
+
"precision": 0.5686274509803921,
|
| 101 |
+
"recall": 0.90625
|
| 102 |
+
},
|
| 103 |
+
"eval_ORG": {
|
| 104 |
+
"f1": 0.9804511278195489,
|
| 105 |
+
"number": 6618,
|
| 106 |
+
"precision": 0.9757557617479796,
|
| 107 |
+
"recall": 0.9851919008763977
|
| 108 |
+
},
|
| 109 |
+
"eval_PER": {
|
| 110 |
+
"f1": 0.9935385784872672,
|
| 111 |
+
"number": 10530,
|
| 112 |
+
"precision": 0.9941053432211447,
|
| 113 |
+
"recall": 0.9929724596391263
|
| 114 |
+
},
|
| 115 |
+
"eval_PLANT": {
|
| 116 |
+
"f1": 0.56656346749226,
|
| 117 |
+
"number": 1788,
|
| 118 |
+
"precision": 0.4331360946745562,
|
| 119 |
+
"recall": 0.8187919463087249
|
| 120 |
+
},
|
| 121 |
+
"eval_TIME": {
|
| 122 |
+
"f1": 0.7452830188679245,
|
| 123 |
+
"number": 578,
|
| 124 |
+
"precision": 0.6829971181556196,
|
| 125 |
+
"recall": 0.8200692041522492
|
| 126 |
+
},
|
| 127 |
+
"eval_VEHI": {
|
| 128 |
+
"f1": 0.8571428571428572,
|
| 129 |
+
"number": 64,
|
| 130 |
+
"precision": 0.7894736842105263,
|
| 131 |
+
"recall": 0.9375
|
| 132 |
+
},
|
| 133 |
+
"eval_loss": 0.09848607331514359,
|
| 134 |
+
"eval_overall_accuracy": 0.9839002953677689,
|
| 135 |
+
"eval_overall_f1": 0.9165482757984463,
|
| 136 |
+
"eval_overall_precision": 0.8698606149751348,
|
| 137 |
+
"eval_overall_recall": 0.9685318775589784,
|
| 138 |
+
"eval_runtime": 95.1985,
|
| 139 |
+
"eval_samples_per_second": 345.678,
|
| 140 |
+
"eval_steps_per_second": 7.206,
|
| 141 |
+
"step": 5470
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 1.14,
|
| 145 |
+
"learning_rate": 8.574040219378429e-06,
|
| 146 |
+
"loss": 0.0791,
|
| 147 |
+
"step": 6250
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 1.37,
|
| 151 |
+
"learning_rate": 6.288848263254113e-06,
|
| 152 |
+
"loss": 0.0668,
|
| 153 |
+
"step": 7500
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 1.6,
|
| 157 |
+
"learning_rate": 4.003656307129799e-06,
|
| 158 |
+
"loss": 0.0584,
|
| 159 |
+
"step": 8750
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 1.83,
|
| 163 |
+
"learning_rate": 1.7184643510054846e-06,
|
| 164 |
+
"loss": 0.0526,
|
| 165 |
+
"step": 10000
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 2.0,
|
| 169 |
+
"eval_ANIM": {
|
| 170 |
+
"f1": 0.7314670813893208,
|
| 171 |
+
"number": 3208,
|
| 172 |
+
"precision": 0.6259982253771074,
|
| 173 |
+
"recall": 0.8796758104738155
|
| 174 |
+
},
|
| 175 |
+
"eval_BIO": {
|
| 176 |
+
"f1": 0.6363636363636364,
|
| 177 |
+
"number": 16,
|
| 178 |
+
"precision": 0.5,
|
| 179 |
+
"recall": 0.875
|
| 180 |
+
},
|
| 181 |
+
"eval_CEL": {
|
| 182 |
+
"f1": 0.7835051546391752,
|
| 183 |
+
"number": 82,
|
| 184 |
+
"precision": 0.6785714285714286,
|
| 185 |
+
"recall": 0.926829268292683
|
| 186 |
+
},
|
| 187 |
+
"eval_DIS": {
|
| 188 |
+
"f1": 0.6950578338590956,
|
| 189 |
+
"number": 1518,
|
| 190 |
+
"precision": 0.5783027121609798,
|
| 191 |
+
"recall": 0.8708827404479579
|
| 192 |
+
},
|
| 193 |
+
"eval_EVE": {
|
| 194 |
+
"f1": 0.9678321678321677,
|
| 195 |
+
"number": 704,
|
| 196 |
+
"precision": 0.953168044077135,
|
| 197 |
+
"recall": 0.9829545454545454
|
| 198 |
+
},
|
| 199 |
+
"eval_FOOD": {
|
| 200 |
+
"f1": 0.5880893300248139,
|
| 201 |
+
"number": 1132,
|
| 202 |
+
"precision": 0.45315487571701724,
|
| 203 |
+
"recall": 0.8374558303886925
|
| 204 |
+
},
|
| 205 |
+
"eval_INST": {
|
| 206 |
+
"f1": 0.5625000000000001,
|
| 207 |
+
"number": 24,
|
| 208 |
+
"precision": 0.45,
|
| 209 |
+
"recall": 0.75
|
| 210 |
+
},
|
| 211 |
+
"eval_LOC": {
|
| 212 |
+
"f1": 0.9941398944349777,
|
| 213 |
+
"number": 24048,
|
| 214 |
+
"precision": 0.9936030572401762,
|
| 215 |
+
"recall": 0.9946773120425815
|
| 216 |
+
},
|
| 217 |
+
"eval_MEDIA": {
|
| 218 |
+
"f1": 0.9540106951871657,
|
| 219 |
+
"number": 916,
|
| 220 |
+
"precision": 0.9350104821802935,
|
| 221 |
+
"recall": 0.9737991266375546
|
| 222 |
+
},
|
| 223 |
+
"eval_MYTH": {
|
| 224 |
+
"f1": 0.8055555555555555,
|
| 225 |
+
"number": 64,
|
| 226 |
+
"precision": 0.725,
|
| 227 |
+
"recall": 0.90625
|
| 228 |
+
},
|
| 229 |
+
"eval_ORG": {
|
| 230 |
+
"f1": 0.9806938159879336,
|
| 231 |
+
"number": 6618,
|
| 232 |
+
"precision": 0.9789220114423366,
|
| 233 |
+
"recall": 0.9824720459353279
|
| 234 |
+
},
|
| 235 |
+
"eval_PER": {
|
| 236 |
+
"f1": 0.9945915172217479,
|
| 237 |
+
"number": 10530,
|
| 238 |
+
"precision": 0.9937428896473265,
|
| 239 |
+
"recall": 0.9954415954415955
|
| 240 |
+
},
|
| 241 |
+
"eval_PLANT": {
|
| 242 |
+
"f1": 0.6153232242617718,
|
| 243 |
+
"number": 1788,
|
| 244 |
+
"precision": 0.478287841191067,
|
| 245 |
+
"recall": 0.8624161073825504
|
| 246 |
+
},
|
| 247 |
+
"eval_TIME": {
|
| 248 |
+
"f1": 0.7310030395136778,
|
| 249 |
+
"number": 578,
|
| 250 |
+
"precision": 0.6517615176151762,
|
| 251 |
+
"recall": 0.8321799307958477
|
| 252 |
+
},
|
| 253 |
+
"eval_VEHI": {
|
| 254 |
+
"f1": 0.8571428571428572,
|
| 255 |
+
"number": 64,
|
| 256 |
+
"precision": 0.7894736842105263,
|
| 257 |
+
"recall": 0.9375
|
| 258 |
+
},
|
| 259 |
+
"eval_loss": 0.11049605160951614,
|
| 260 |
+
"eval_overall_accuracy": 0.9861263597723507,
|
| 261 |
+
"eval_overall_f1": 0.9277588486101026,
|
| 262 |
+
"eval_overall_precision": 0.8877743728620296,
|
| 263 |
+
"eval_overall_recall": 0.9715149151881458,
|
| 264 |
+
"eval_runtime": 94.1134,
|
| 265 |
+
"eval_samples_per_second": 349.663,
|
| 266 |
+
"eval_steps_per_second": 7.289,
|
| 267 |
+
"step": 10940
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 2.0,
|
| 271 |
+
"step": 10940,
|
| 272 |
+
"total_flos": 1.929975843125117e+16,
|
| 273 |
+
"train_loss": 0.1132796828881914,
|
| 274 |
+
"train_runtime": 2485.5568,
|
| 275 |
+
"train_samples_per_second": 211.269,
|
| 276 |
+
"train_steps_per_second": 4.401
|
| 277 |
+
}
|
| 278 |
+
],
|
| 279 |
+
"logging_steps": 1250,
|
| 280 |
+
"max_steps": 10940,
|
| 281 |
+
"num_train_epochs": 2,
|
| 282 |
+
"save_steps": 500,
|
| 283 |
+
"total_flos": 1.929975843125117e+16,
|
| 284 |
+
"trial_name": null,
|
| 285 |
+
"trial_params": null
|
| 286 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c703d30f4b92af3adbd1285ac8dc67f3529f8939696ac473deb440cfcb72f8de
|
| 3 |
+
size 4207
|
vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|