Instructions to use brao/innox-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brao/innox-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="brao/innox-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("brao/innox-bert") model = AutoModelForTokenClassification.from_pretrained("brao/innox-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload 11 files
Browse files- config.json +56 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- trainer_state.json +340 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "bert-large-uncased",
|
| 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": 1024,
|
| 12 |
+
"id2label": {
|
| 13 |
+
"0": "LABEL_0",
|
| 14 |
+
"1": "LABEL_1",
|
| 15 |
+
"2": "LABEL_2",
|
| 16 |
+
"3": "LABEL_3",
|
| 17 |
+
"4": "LABEL_4",
|
| 18 |
+
"5": "LABEL_5",
|
| 19 |
+
"6": "LABEL_6",
|
| 20 |
+
"7": "LABEL_7",
|
| 21 |
+
"8": "LABEL_8",
|
| 22 |
+
"9": "LABEL_9",
|
| 23 |
+
"10": "LABEL_10",
|
| 24 |
+
"11": "LABEL_11",
|
| 25 |
+
"12": "LABEL_12"
|
| 26 |
+
},
|
| 27 |
+
"initializer_range": 0.02,
|
| 28 |
+
"intermediate_size": 4096,
|
| 29 |
+
"label2id": {
|
| 30 |
+
"LABEL_0": 0,
|
| 31 |
+
"LABEL_1": 1,
|
| 32 |
+
"LABEL_10": 10,
|
| 33 |
+
"LABEL_11": 11,
|
| 34 |
+
"LABEL_12": 12,
|
| 35 |
+
"LABEL_2": 2,
|
| 36 |
+
"LABEL_3": 3,
|
| 37 |
+
"LABEL_4": 4,
|
| 38 |
+
"LABEL_5": 5,
|
| 39 |
+
"LABEL_6": 6,
|
| 40 |
+
"LABEL_7": 7,
|
| 41 |
+
"LABEL_8": 8,
|
| 42 |
+
"LABEL_9": 9
|
| 43 |
+
},
|
| 44 |
+
"layer_norm_eps": 1e-12,
|
| 45 |
+
"max_position_embeddings": 512,
|
| 46 |
+
"model_type": "bert",
|
| 47 |
+
"num_attention_heads": 16,
|
| 48 |
+
"num_hidden_layers": 24,
|
| 49 |
+
"pad_token_id": 0,
|
| 50 |
+
"position_embedding_type": "absolute",
|
| 51 |
+
"torch_dtype": "float32",
|
| 52 |
+
"transformers_version": "4.25.1",
|
| 53 |
+
"type_vocab_size": 2,
|
| 54 |
+
"use_cache": true,
|
| 55 |
+
"vocab_size": 30522
|
| 56 |
+
}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:81e60002e133897c4024a2dc8515b343843d994db18bf2cc78965f7d9cf5511c
|
| 3 |
+
size 2673072357
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:89867acad0de4ecc45896e74fb6aab16c2ca6b6f758df173f7e41d48b7c2b1b9
|
| 3 |
+
size 1336557745
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:74390ceb0548fc77a41fab0d84e03929f2835125c156040f32a4081e84d195e0
|
| 3 |
+
size 17563
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:42c2522d9deea9ff7150a1554c735edc63b6ff8849453f55081ce2d93c2b680a
|
| 3 |
+
size 623
|
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 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
{
|
| 3 |
+
"cls_token": "[CLS]",
|
| 4 |
+
"do_lower_case": true,
|
| 5 |
+
"mask_token": "[MASK]",
|
| 6 |
+
"model_max_length": 512,
|
| 7 |
+
"name_or_path": "bert-large-uncased",
|
| 8 |
+
"pad_token": "[PAD]",
|
| 9 |
+
"sep_token": "[SEP]",
|
| 10 |
+
"special_tokens_map_file": null,
|
| 11 |
+
"strip_accents": null,
|
| 12 |
+
"tokenize_chinese_chars": true,
|
| 13 |
+
"tokenizer_class": "BertTokenizer",
|
| 14 |
+
"unk_token": "[UNK]"
|
| 15 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,340 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 25.0,
|
| 5 |
+
"global_step": 2125,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 1.0,
|
| 12 |
+
"eval_accuracy": 0.8444531864673486,
|
| 13 |
+
"eval_f1": 0.5546590729314982,
|
| 14 |
+
"eval_loss": 0.5102574229240417,
|
| 15 |
+
"eval_precision": 0.5133235724743778,
|
| 16 |
+
"eval_recall": 0.6032346868547832,
|
| 17 |
+
"eval_runtime": 19.295,
|
| 18 |
+
"eval_samples_per_second": 140.451,
|
| 19 |
+
"eval_steps_per_second": 1.14,
|
| 20 |
+
"step": 85
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 2.0,
|
| 24 |
+
"eval_accuracy": 0.8653029110936271,
|
| 25 |
+
"eval_f1": 0.6414725525329859,
|
| 26 |
+
"eval_loss": 0.43876737356185913,
|
| 27 |
+
"eval_precision": 0.6090318589545314,
|
| 28 |
+
"eval_recall": 0.6775636613902272,
|
| 29 |
+
"eval_runtime": 19.3861,
|
| 30 |
+
"eval_samples_per_second": 139.791,
|
| 31 |
+
"eval_steps_per_second": 1.135,
|
| 32 |
+
"step": 170
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 3.0,
|
| 36 |
+
"eval_accuracy": 0.8793863099921322,
|
| 37 |
+
"eval_f1": 0.6583135794107687,
|
| 38 |
+
"eval_loss": 0.3875023424625397,
|
| 39 |
+
"eval_precision": 0.648,
|
| 40 |
+
"eval_recall": 0.6689607708189952,
|
| 41 |
+
"eval_runtime": 19.4498,
|
| 42 |
+
"eval_samples_per_second": 139.333,
|
| 43 |
+
"eval_steps_per_second": 1.131,
|
| 44 |
+
"step": 255
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 4.0,
|
| 48 |
+
"eval_accuracy": 0.8793076317859952,
|
| 49 |
+
"eval_f1": 0.6649093904448106,
|
| 50 |
+
"eval_loss": 0.42981019616127014,
|
| 51 |
+
"eval_precision": 0.6378002528445006,
|
| 52 |
+
"eval_recall": 0.6944253269098417,
|
| 53 |
+
"eval_runtime": 19.1858,
|
| 54 |
+
"eval_samples_per_second": 141.25,
|
| 55 |
+
"eval_steps_per_second": 1.147,
|
| 56 |
+
"step": 340
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 5.0,
|
| 60 |
+
"eval_accuracy": 0.8806845003933911,
|
| 61 |
+
"eval_f1": 0.6834983498349835,
|
| 62 |
+
"eval_loss": 0.4551577568054199,
|
| 63 |
+
"eval_precision": 0.6566265060240963,
|
| 64 |
+
"eval_recall": 0.7126634549208534,
|
| 65 |
+
"eval_runtime": 19.2293,
|
| 66 |
+
"eval_samples_per_second": 140.93,
|
| 67 |
+
"eval_steps_per_second": 1.144,
|
| 68 |
+
"step": 425
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 5.88,
|
| 72 |
+
"learning_rate": 2.526771764705882e-05,
|
| 73 |
+
"loss": 0.3534,
|
| 74 |
+
"step": 500
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 6.0,
|
| 78 |
+
"eval_accuracy": 0.8738788355625492,
|
| 79 |
+
"eval_f1": 0.6940358816874092,
|
| 80 |
+
"eval_loss": 0.5596204996109009,
|
| 81 |
+
"eval_precision": 0.6543736665650717,
|
| 82 |
+
"eval_recall": 0.7388162422573985,
|
| 83 |
+
"eval_runtime": 19.5147,
|
| 84 |
+
"eval_samples_per_second": 138.87,
|
| 85 |
+
"eval_steps_per_second": 1.127,
|
| 86 |
+
"step": 510
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 7.0,
|
| 90 |
+
"eval_accuracy": 0.8817073170731707,
|
| 91 |
+
"eval_f1": 0.6971866156151157,
|
| 92 |
+
"eval_loss": 0.5754502415657043,
|
| 93 |
+
"eval_precision": 0.6752660432118671,
|
| 94 |
+
"eval_recall": 0.7205781142463867,
|
| 95 |
+
"eval_runtime": 19.1934,
|
| 96 |
+
"eval_samples_per_second": 141.194,
|
| 97 |
+
"eval_steps_per_second": 1.146,
|
| 98 |
+
"step": 595
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 8.0,
|
| 102 |
+
"eval_accuracy": 0.879897718332022,
|
| 103 |
+
"eval_f1": 0.7010550996483003,
|
| 104 |
+
"eval_loss": 0.6235392093658447,
|
| 105 |
+
"eval_precision": 0.6828711256117456,
|
| 106 |
+
"eval_recall": 0.7202339986235375,
|
| 107 |
+
"eval_runtime": 19.2793,
|
| 108 |
+
"eval_samples_per_second": 140.565,
|
| 109 |
+
"eval_steps_per_second": 1.141,
|
| 110 |
+
"step": 680
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 9.0,
|
| 114 |
+
"eval_accuracy": 0.8861132966168371,
|
| 115 |
+
"eval_f1": 0.7035076108537393,
|
| 116 |
+
"eval_loss": 0.6701436638832092,
|
| 117 |
+
"eval_precision": 0.6775015933715742,
|
| 118 |
+
"eval_recall": 0.7315898141775636,
|
| 119 |
+
"eval_runtime": 19.3944,
|
| 120 |
+
"eval_samples_per_second": 139.731,
|
| 121 |
+
"eval_steps_per_second": 1.134,
|
| 122 |
+
"step": 765
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 10.0,
|
| 126 |
+
"eval_accuracy": 0.8706530291109362,
|
| 127 |
+
"eval_f1": 0.6894660429101467,
|
| 128 |
+
"eval_loss": 0.7287982106208801,
|
| 129 |
+
"eval_precision": 0.6489523231096265,
|
| 130 |
+
"eval_recall": 0.7353750860289057,
|
| 131 |
+
"eval_runtime": 19.3186,
|
| 132 |
+
"eval_samples_per_second": 140.279,
|
| 133 |
+
"eval_steps_per_second": 1.139,
|
| 134 |
+
"step": 850
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 11.0,
|
| 138 |
+
"eval_accuracy": 0.877537372147915,
|
| 139 |
+
"eval_f1": 0.6930596285434995,
|
| 140 |
+
"eval_loss": 0.7054932713508606,
|
| 141 |
+
"eval_precision": 0.6581064356435643,
|
| 142 |
+
"eval_recall": 0.7319339298004129,
|
| 143 |
+
"eval_runtime": 19.2233,
|
| 144 |
+
"eval_samples_per_second": 140.975,
|
| 145 |
+
"eval_steps_per_second": 1.144,
|
| 146 |
+
"step": 935
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 11.76,
|
| 150 |
+
"learning_rate": 1.7493035294117648e-05,
|
| 151 |
+
"loss": 0.0425,
|
| 152 |
+
"step": 1000
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 12.0,
|
| 156 |
+
"eval_accuracy": 0.8837529504327302,
|
| 157 |
+
"eval_f1": 0.7010959814015278,
|
| 158 |
+
"eval_loss": 0.7131127119064331,
|
| 159 |
+
"eval_precision": 0.6774711168164314,
|
| 160 |
+
"eval_recall": 0.7264280798348245,
|
| 161 |
+
"eval_runtime": 19.4321,
|
| 162 |
+
"eval_samples_per_second": 139.46,
|
| 163 |
+
"eval_steps_per_second": 1.132,
|
| 164 |
+
"step": 1020
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 13.0,
|
| 168 |
+
"eval_accuracy": 0.8865460267505901,
|
| 169 |
+
"eval_f1": 0.71240632805995,
|
| 170 |
+
"eval_loss": 0.7414566278457642,
|
| 171 |
+
"eval_precision": 0.6902226524685382,
|
| 172 |
+
"eval_recall": 0.7360633172746043,
|
| 173 |
+
"eval_runtime": 19.4932,
|
| 174 |
+
"eval_samples_per_second": 139.023,
|
| 175 |
+
"eval_steps_per_second": 1.129,
|
| 176 |
+
"step": 1105
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 14.0,
|
| 180 |
+
"eval_accuracy": 0.8769079464988199,
|
| 181 |
+
"eval_f1": 0.7031301482701812,
|
| 182 |
+
"eval_loss": 0.820663332939148,
|
| 183 |
+
"eval_precision": 0.6744627054361567,
|
| 184 |
+
"eval_recall": 0.7343427391603579,
|
| 185 |
+
"eval_runtime": 19.2777,
|
| 186 |
+
"eval_samples_per_second": 140.577,
|
| 187 |
+
"eval_steps_per_second": 1.141,
|
| 188 |
+
"step": 1190
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 15.0,
|
| 192 |
+
"eval_accuracy": 0.8817859952793077,
|
| 193 |
+
"eval_f1": 0.7152581769882118,
|
| 194 |
+
"eval_loss": 0.8483569622039795,
|
| 195 |
+
"eval_precision": 0.6910490856592878,
|
| 196 |
+
"eval_recall": 0.7412250516173434,
|
| 197 |
+
"eval_runtime": 19.4808,
|
| 198 |
+
"eval_samples_per_second": 139.112,
|
| 199 |
+
"eval_steps_per_second": 1.129,
|
| 200 |
+
"step": 1275
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 16.0,
|
| 204 |
+
"eval_accuracy": 0.8836349331235248,
|
| 205 |
+
"eval_f1": 0.7072444591465431,
|
| 206 |
+
"eval_loss": 0.8380259275436401,
|
| 207 |
+
"eval_precision": 0.6808917197452229,
|
| 208 |
+
"eval_recall": 0.735719201651755,
|
| 209 |
+
"eval_runtime": 19.2903,
|
| 210 |
+
"eval_samples_per_second": 140.485,
|
| 211 |
+
"eval_steps_per_second": 1.14,
|
| 212 |
+
"step": 1360
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 17.0,
|
| 216 |
+
"eval_accuracy": 0.8843430369787569,
|
| 217 |
+
"eval_f1": 0.7132094424912104,
|
| 218 |
+
"eval_loss": 0.8519468307495117,
|
| 219 |
+
"eval_precision": 0.6944897293772416,
|
| 220 |
+
"eval_recall": 0.7329662766689607,
|
| 221 |
+
"eval_runtime": 19.2344,
|
| 222 |
+
"eval_samples_per_second": 140.893,
|
| 223 |
+
"eval_steps_per_second": 1.144,
|
| 224 |
+
"step": 1445
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 17.65,
|
| 228 |
+
"learning_rate": 9.71835294117647e-06,
|
| 229 |
+
"loss": 0.0084,
|
| 230 |
+
"step": 1500
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 18.0,
|
| 234 |
+
"eval_accuracy": 0.8830841856805665,
|
| 235 |
+
"eval_f1": 0.7116891779222945,
|
| 236 |
+
"eval_loss": 0.8689035773277283,
|
| 237 |
+
"eval_precision": 0.6903914590747331,
|
| 238 |
+
"eval_recall": 0.7343427391603579,
|
| 239 |
+
"eval_runtime": 19.4385,
|
| 240 |
+
"eval_samples_per_second": 139.414,
|
| 241 |
+
"eval_steps_per_second": 1.132,
|
| 242 |
+
"step": 1530
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 19.0,
|
| 246 |
+
"eval_accuracy": 0.8835562549173879,
|
| 247 |
+
"eval_f1": 0.7146202743392439,
|
| 248 |
+
"eval_loss": 0.8715231418609619,
|
| 249 |
+
"eval_precision": 0.6953125,
|
| 250 |
+
"eval_recall": 0.7350309704060565,
|
| 251 |
+
"eval_runtime": 19.2513,
|
| 252 |
+
"eval_samples_per_second": 140.77,
|
| 253 |
+
"eval_steps_per_second": 1.143,
|
| 254 |
+
"step": 1615
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 20.0,
|
| 258 |
+
"eval_accuracy": 0.885483870967742,
|
| 259 |
+
"eval_f1": 0.7111858704793944,
|
| 260 |
+
"eval_loss": 0.8707020282745361,
|
| 261 |
+
"eval_precision": 0.6956235603817045,
|
| 262 |
+
"eval_recall": 0.7274604267033723,
|
| 263 |
+
"eval_runtime": 19.2021,
|
| 264 |
+
"eval_samples_per_second": 141.13,
|
| 265 |
+
"eval_steps_per_second": 1.146,
|
| 266 |
+
"step": 1700
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 21.0,
|
| 270 |
+
"eval_accuracy": 0.8852478363493312,
|
| 271 |
+
"eval_f1": 0.7130956347884039,
|
| 272 |
+
"eval_loss": 0.8659564256668091,
|
| 273 |
+
"eval_precision": 0.6912144702842378,
|
| 274 |
+
"eval_recall": 0.7364074328974536,
|
| 275 |
+
"eval_runtime": 19.3453,
|
| 276 |
+
"eval_samples_per_second": 140.086,
|
| 277 |
+
"eval_steps_per_second": 1.137,
|
| 278 |
+
"step": 1785
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 22.0,
|
| 282 |
+
"eval_accuracy": 0.8861132966168371,
|
| 283 |
+
"eval_f1": 0.7195429339606789,
|
| 284 |
+
"eval_loss": 0.8910586833953857,
|
| 285 |
+
"eval_precision": 0.7031198686371101,
|
| 286 |
+
"eval_recall": 0.7367515485203028,
|
| 287 |
+
"eval_runtime": 19.253,
|
| 288 |
+
"eval_samples_per_second": 140.757,
|
| 289 |
+
"eval_steps_per_second": 1.143,
|
| 290 |
+
"step": 1870
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 23.0,
|
| 294 |
+
"eval_accuracy": 0.8848544453186468,
|
| 295 |
+
"eval_f1": 0.7184726176519846,
|
| 296 |
+
"eval_loss": 0.9158034920692444,
|
| 297 |
+
"eval_precision": 0.6998368678629691,
|
| 298 |
+
"eval_recall": 0.7381280110116999,
|
| 299 |
+
"eval_runtime": 19.2359,
|
| 300 |
+
"eval_samples_per_second": 140.882,
|
| 301 |
+
"eval_steps_per_second": 1.144,
|
| 302 |
+
"step": 1955
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 23.53,
|
| 306 |
+
"learning_rate": 1.943670588235294e-06,
|
| 307 |
+
"loss": 0.0026,
|
| 308 |
+
"step": 2000
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 24.0,
|
| 312 |
+
"eval_accuracy": 0.8862706530291109,
|
| 313 |
+
"eval_f1": 0.7187237615449201,
|
| 314 |
+
"eval_loss": 0.9025561809539795,
|
| 315 |
+
"eval_precision": 0.7018694653984913,
|
| 316 |
+
"eval_recall": 0.7364074328974536,
|
| 317 |
+
"eval_runtime": 19.4156,
|
| 318 |
+
"eval_samples_per_second": 139.578,
|
| 319 |
+
"eval_steps_per_second": 1.133,
|
| 320 |
+
"step": 2040
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 25.0,
|
| 324 |
+
"eval_accuracy": 0.8865066876475216,
|
| 325 |
+
"eval_f1": 0.718912569223024,
|
| 326 |
+
"eval_loss": 0.9014936089515686,
|
| 327 |
+
"eval_precision": 0.7016049787094661,
|
| 328 |
+
"eval_recall": 0.7370956641431521,
|
| 329 |
+
"eval_runtime": 19.2209,
|
| 330 |
+
"eval_samples_per_second": 140.992,
|
| 331 |
+
"eval_steps_per_second": 1.145,
|
| 332 |
+
"step": 2125
|
| 333 |
+
}
|
| 334 |
+
],
|
| 335 |
+
"max_steps": 2125,
|
| 336 |
+
"num_train_epochs": 25,
|
| 337 |
+
"total_flos": 1.5762129485609082e+16,
|
| 338 |
+
"trial_name": null,
|
| 339 |
+
"trial_params": null
|
| 340 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fbe7cdcd926dae7c2318f04bcf681a1ab9fa3c0d3736d6d2968248c5934cfc06
|
| 3 |
+
size 3375
|
vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|