End of training
Browse files- README.md +166 -166
- config.json +72 -69
- model.safetensors +2 -2
- special_tokens_map.json +37 -7
- tokenizer.json +1 -1
- tokenizer_config.json +55 -55
- training_args.bin +2 -2
README.md
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---
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library_name: transformers
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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### Framework versions
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- Transformers 4.46.
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- Pytorch
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- Datasets 3.1.0
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- Tokenizers 0.20.
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---
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library_name: transformers
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license: apache-2.0
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base_model: hfl/chinese-roberta-wwm-ext-large
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: bert_bilstm_mega_crf-ner-weibo
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert_bilstm_mega_crf-ner-weibo
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This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext-large](https://huggingface.co/hfl/chinese-roberta-wwm-ext-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2341
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- Precision: 0.6657
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- Recall: 0.7075
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- F1: 0.6860
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- Accuracy: 0.9683
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 100
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 1.7329 | 1.0 | 11 | 0.4907 | 0.0 | 0.0 | 0.0 | 0.9274 |
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| 0.4493 | 2.0 | 22 | 0.3486 | 0.0 | 0.0 | 0.0 | 0.9274 |
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| 0.3203 | 3.0 | 33 | 0.2384 | 0.2941 | 0.0629 | 0.1036 | 0.9354 |
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| 0.2259 | 4.0 | 44 | 0.1618 | 0.5219 | 0.4874 | 0.5041 | 0.9586 |
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| 0.1617 | 5.0 | 55 | 0.1318 | 0.5476 | 0.5975 | 0.5714 | 0.9642 |
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| 0.1171 | 6.0 | 66 | 0.1202 | 0.5718 | 0.6509 | 0.6088 | 0.9676 |
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| 0.0956 | 7.0 | 77 | 0.1210 | 0.6022 | 0.6855 | 0.6412 | 0.9692 |
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| 0.0666 | 8.0 | 88 | 0.1208 | 0.5951 | 0.6887 | 0.6385 | 0.9690 |
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| 0.0567 | 9.0 | 99 | 0.1205 | 0.5963 | 0.7107 | 0.6485 | 0.9687 |
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| 0.0433 | 10.0 | 110 | 0.1219 | 0.6230 | 0.7170 | 0.6667 | 0.9699 |
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| 0.0333 | 11.0 | 121 | 0.1365 | 0.6375 | 0.6635 | 0.6502 | 0.9687 |
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| 0.0309 | 12.0 | 132 | 0.1421 | 0.6011 | 0.6918 | 0.6433 | 0.9672 |
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| 0.0239 | 13.0 | 143 | 0.1460 | 0.6398 | 0.6981 | 0.6677 | 0.9687 |
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| 0.0235 | 14.0 | 154 | 0.1539 | 0.6518 | 0.6887 | 0.6697 | 0.9687 |
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| 0.0188 | 15.0 | 165 | 0.1604 | 0.6656 | 0.6824 | 0.6739 | 0.9694 |
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| 0.0193 | 16.0 | 176 | 0.1625 | 0.6471 | 0.6918 | 0.6687 | 0.9687 |
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| 0.0155 | 17.0 | 187 | 0.1758 | 0.6770 | 0.6855 | 0.6813 | 0.9683 |
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| 0.0148 | 18.0 | 198 | 0.1714 | 0.6506 | 0.6792 | 0.6646 | 0.9688 |
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| 0.014 | 19.0 | 209 | 0.1626 | 0.6391 | 0.7296 | 0.6814 | 0.9674 |
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| 0.0116 | 20.0 | 220 | 0.1718 | 0.6459 | 0.7170 | 0.6796 | 0.9687 |
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| 0.0111 | 21.0 | 231 | 0.1840 | 0.6718 | 0.6824 | 0.6771 | 0.9694 |
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| 0.0097 | 22.0 | 242 | 0.1807 | 0.6479 | 0.6887 | 0.6677 | 0.9677 |
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| 0.0098 | 23.0 | 253 | 0.1787 | 0.6391 | 0.7296 | 0.6814 | 0.9664 |
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| 0.0089 | 24.0 | 264 | 0.1877 | 0.6518 | 0.6887 | 0.6697 | 0.9688 |
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| 0.0077 | 25.0 | 275 | 0.1896 | 0.6519 | 0.6950 | 0.6728 | 0.9693 |
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| 0.008 | 26.0 | 286 | 0.1915 | 0.6608 | 0.7107 | 0.6848 | 0.9690 |
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| 0.0079 | 27.0 | 297 | 0.2008 | 0.6606 | 0.6792 | 0.6698 | 0.9687 |
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| 0.0072 | 28.0 | 308 | 0.1961 | 0.6486 | 0.7138 | 0.6796 | 0.9681 |
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| 0.0067 | 29.0 | 319 | 0.2040 | 0.6617 | 0.7013 | 0.6809 | 0.9691 |
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| 0.0063 | 30.0 | 330 | 0.2028 | 0.6725 | 0.7296 | 0.6998 | 0.9688 |
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| 0.0056 | 31.0 | 341 | 0.2053 | 0.6716 | 0.7201 | 0.6950 | 0.9689 |
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| 0.0073 | 32.0 | 352 | 0.2088 | 0.6465 | 0.6730 | 0.6595 | 0.9674 |
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| 0.0061 | 33.0 | 363 | 0.1936 | 0.6138 | 0.7296 | 0.6667 | 0.9673 |
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| 0.0057 | 34.0 | 374 | 0.2061 | 0.6596 | 0.6824 | 0.6708 | 0.9683 |
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| 0.0062 | 35.0 | 385 | 0.2077 | 0.6627 | 0.7044 | 0.6829 | 0.9680 |
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| 0.0046 | 36.0 | 396 | 0.2133 | 0.6738 | 0.6950 | 0.6842 | 0.9689 |
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| 0.0062 | 37.0 | 407 | 0.2029 | 0.6696 | 0.7201 | 0.6939 | 0.9680 |
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| 96 |
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| 0.0058 | 38.0 | 418 | 0.2039 | 0.6707 | 0.7044 | 0.6871 | 0.9678 |
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| 0.0047 | 39.0 | 429 | 0.2055 | 0.6667 | 0.7233 | 0.6938 | 0.9685 |
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| 98 |
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| 0.0049 | 40.0 | 440 | 0.2105 | 0.6757 | 0.7075 | 0.6912 | 0.9692 |
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| 0.0048 | 41.0 | 451 | 0.2052 | 0.6667 | 0.7107 | 0.6880 | 0.9683 |
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| 100 |
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| 0.0049 | 42.0 | 462 | 0.2081 | 0.6590 | 0.7170 | 0.6867 | 0.9687 |
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| 101 |
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| 0.0063 | 43.0 | 473 | 0.2011 | 0.6552 | 0.7170 | 0.6847 | 0.9683 |
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| 102 |
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| 0.0046 | 44.0 | 484 | 0.1994 | 0.6477 | 0.7170 | 0.6806 | 0.9676 |
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| 103 |
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| 0.0047 | 45.0 | 495 | 0.2122 | 0.6790 | 0.6918 | 0.6854 | 0.9693 |
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| 104 |
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| 0.0048 | 46.0 | 506 | 0.2082 | 0.6609 | 0.7233 | 0.6907 | 0.9687 |
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| 0.0042 | 47.0 | 517 | 0.2140 | 0.6769 | 0.6918 | 0.6843 | 0.9695 |
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| 106 |
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| 0.0054 | 48.0 | 528 | 0.2054 | 0.6514 | 0.7170 | 0.6826 | 0.9681 |
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| 107 |
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| 0.0037 | 49.0 | 539 | 0.2070 | 0.6686 | 0.7107 | 0.6890 | 0.9689 |
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| 108 |
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| 0.0045 | 50.0 | 550 | 0.2093 | 0.6514 | 0.7170 | 0.6826 | 0.9686 |
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| 109 |
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| 0.004 | 51.0 | 561 | 0.2163 | 0.6787 | 0.7107 | 0.6943 | 0.9698 |
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| 110 |
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| 0.0038 | 52.0 | 572 | 0.2173 | 0.6706 | 0.7107 | 0.6901 | 0.9694 |
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| 111 |
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| 0.0042 | 53.0 | 583 | 0.2156 | 0.6745 | 0.7233 | 0.6980 | 0.9694 |
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| 112 |
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| 0.0039 | 54.0 | 594 | 0.2190 | 0.6727 | 0.6981 | 0.6852 | 0.9689 |
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| 113 |
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| 0.0037 | 55.0 | 605 | 0.2213 | 0.6767 | 0.7044 | 0.6903 | 0.9687 |
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| 114 |
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| 0.0043 | 56.0 | 616 | 0.2247 | 0.6829 | 0.7044 | 0.6935 | 0.9690 |
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| 115 |
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| 0.0034 | 57.0 | 627 | 0.2291 | 0.6789 | 0.6981 | 0.6884 | 0.9689 |
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| 116 |
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| 0.0046 | 58.0 | 638 | 0.2258 | 0.6737 | 0.7075 | 0.6902 | 0.9686 |
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| 117 |
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| 0.0033 | 59.0 | 649 | 0.2254 | 0.6736 | 0.7138 | 0.6931 | 0.9689 |
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| 118 |
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| 0.0036 | 60.0 | 660 | 0.2255 | 0.6758 | 0.7013 | 0.6883 | 0.9690 |
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| 119 |
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| 0.0038 | 61.0 | 671 | 0.2200 | 0.6580 | 0.7138 | 0.6848 | 0.9682 |
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| 120 |
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| 0.0036 | 62.0 | 682 | 0.2210 | 0.6657 | 0.7075 | 0.6860 | 0.9687 |
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| 121 |
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| 0.0039 | 63.0 | 693 | 0.2237 | 0.6647 | 0.7107 | 0.6869 | 0.9682 |
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| 122 |
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| 0.0039 | 64.0 | 704 | 0.2295 | 0.6727 | 0.6981 | 0.6852 | 0.9688 |
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| 123 |
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| 0.0032 | 65.0 | 715 | 0.2271 | 0.6707 | 0.7044 | 0.6871 | 0.9687 |
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| 124 |
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| 0.0038 | 66.0 | 726 | 0.2290 | 0.6677 | 0.7013 | 0.6840 | 0.9687 |
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| 125 |
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| 0.0033 | 67.0 | 737 | 0.2260 | 0.6617 | 0.7013 | 0.6809 | 0.9682 |
|
| 126 |
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| 0.0038 | 68.0 | 748 | 0.2250 | 0.6676 | 0.7138 | 0.6900 | 0.9686 |
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| 127 |
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| 0.0037 | 69.0 | 759 | 0.2254 | 0.6618 | 0.7075 | 0.6839 | 0.9684 |
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| 128 |
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| 0.0039 | 70.0 | 770 | 0.2281 | 0.6687 | 0.6981 | 0.6831 | 0.9687 |
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| 129 |
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| 0.0036 | 71.0 | 781 | 0.2317 | 0.6687 | 0.6981 | 0.6831 | 0.9687 |
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| 130 |
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| 0.0034 | 72.0 | 792 | 0.2272 | 0.6609 | 0.7170 | 0.6878 | 0.9686 |
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| 131 |
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| 0.0036 | 73.0 | 803 | 0.2278 | 0.6756 | 0.7138 | 0.6942 | 0.9687 |
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| 132 |
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| 0.0035 | 74.0 | 814 | 0.2287 | 0.6677 | 0.7075 | 0.6870 | 0.9683 |
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| 133 |
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| 0.0034 | 75.0 | 825 | 0.2283 | 0.6686 | 0.7107 | 0.6890 | 0.9681 |
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| 134 |
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| 0.0032 | 76.0 | 836 | 0.2331 | 0.6657 | 0.7075 | 0.6860 | 0.9672 |
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| 135 |
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| 0.0041 | 77.0 | 847 | 0.2357 | 0.6598 | 0.7075 | 0.6829 | 0.9675 |
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| 136 |
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| 0.0033 | 78.0 | 858 | 0.2352 | 0.6706 | 0.7170 | 0.6930 | 0.9676 |
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| 137 |
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| 0.0039 | 79.0 | 869 | 0.2363 | 0.6696 | 0.7075 | 0.6881 | 0.9689 |
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| 138 |
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| 0.0036 | 80.0 | 880 | 0.2367 | 0.6627 | 0.6918 | 0.6769 | 0.9685 |
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| 139 |
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| 0.0032 | 81.0 | 891 | 0.2369 | 0.6607 | 0.6981 | 0.6789 | 0.9683 |
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| 140 |
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| 0.0036 | 82.0 | 902 | 0.2331 | 0.6696 | 0.7201 | 0.6939 | 0.9687 |
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| 141 |
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| 0.0036 | 83.0 | 913 | 0.2286 | 0.6599 | 0.7138 | 0.6858 | 0.9682 |
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| 142 |
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| 0.0034 | 84.0 | 924 | 0.2276 | 0.6637 | 0.7138 | 0.6879 | 0.9687 |
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| 143 |
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| 0.0035 | 85.0 | 935 | 0.2286 | 0.6647 | 0.7107 | 0.6869 | 0.9687 |
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| 144 |
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| 0.0031 | 86.0 | 946 | 0.2296 | 0.6667 | 0.7044 | 0.6850 | 0.9689 |
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| 145 |
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| 0.0036 | 87.0 | 957 | 0.2296 | 0.6677 | 0.7075 | 0.6870 | 0.9687 |
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| 146 |
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| 0.0033 | 88.0 | 968 | 0.2299 | 0.6706 | 0.7170 | 0.6930 | 0.9688 |
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| 147 |
+
| 0.0033 | 89.0 | 979 | 0.2301 | 0.6618 | 0.7138 | 0.6868 | 0.9683 |
|
| 148 |
+
| 0.0034 | 90.0 | 990 | 0.2320 | 0.6766 | 0.7170 | 0.6962 | 0.9687 |
|
| 149 |
+
| 0.0031 | 91.0 | 1001 | 0.2309 | 0.6766 | 0.7170 | 0.6962 | 0.9686 |
|
| 150 |
+
| 0.0033 | 92.0 | 1012 | 0.2315 | 0.6736 | 0.7138 | 0.6931 | 0.9685 |
|
| 151 |
+
| 0.0037 | 93.0 | 1023 | 0.2333 | 0.6696 | 0.7075 | 0.6881 | 0.9684 |
|
| 152 |
+
| 0.0031 | 94.0 | 1034 | 0.2342 | 0.6696 | 0.7075 | 0.6881 | 0.9684 |
|
| 153 |
+
| 0.0029 | 95.0 | 1045 | 0.2351 | 0.6687 | 0.7044 | 0.6861 | 0.9683 |
|
| 154 |
+
| 0.004 | 96.0 | 1056 | 0.2347 | 0.6667 | 0.7044 | 0.6850 | 0.9683 |
|
| 155 |
+
| 0.0032 | 97.0 | 1067 | 0.2346 | 0.6667 | 0.7044 | 0.6850 | 0.9683 |
|
| 156 |
+
| 0.0033 | 98.0 | 1078 | 0.2343 | 0.6667 | 0.7044 | 0.6850 | 0.9683 |
|
| 157 |
+
| 0.0032 | 99.0 | 1089 | 0.2341 | 0.6647 | 0.7044 | 0.6840 | 0.9682 |
|
| 158 |
+
| 0.0034 | 100.0 | 1100 | 0.2341 | 0.6657 | 0.7075 | 0.6860 | 0.9683 |
|
| 159 |
+
|
| 160 |
+
|
| 161 |
+
### Framework versions
|
| 162 |
+
|
| 163 |
+
- Transformers 4.46.2
|
| 164 |
+
- Pytorch 2.4.1+cu124
|
| 165 |
+
- Datasets 3.1.0
|
| 166 |
+
- Tokenizers 0.20.3
|
config.json
CHANGED
|
@@ -1,69 +1,72 @@
|
|
| 1 |
-
{
|
| 2 |
-
"_name_or_path": "
|
| 3 |
-
"architectures": [
|
| 4 |
-
"BertForTokenClassification"
|
| 5 |
-
],
|
| 6 |
-
"attention_probs_dropout_prob": 0.1,
|
| 7 |
-
"
|
| 8 |
-
"
|
| 9 |
-
"
|
| 10 |
-
"
|
| 11 |
-
"
|
| 12 |
-
"
|
| 13 |
-
|
| 14 |
-
|
| 15 |
-
"
|
| 16 |
-
"
|
| 17 |
-
"
|
| 18 |
-
"
|
| 19 |
-
"
|
| 20 |
-
"
|
| 21 |
-
"
|
| 22 |
-
"
|
| 23 |
-
"
|
| 24 |
-
"
|
| 25 |
-
"
|
| 26 |
-
"
|
| 27 |
-
"
|
| 28 |
-
"
|
| 29 |
-
"
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
"
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
"B-
|
| 37 |
-
"B-
|
| 38 |
-
"B-
|
| 39 |
-
"B-
|
| 40 |
-
"B-
|
| 41 |
-
"B-
|
| 42 |
-
"
|
| 43 |
-
"
|
| 44 |
-
"I-
|
| 45 |
-
"I-
|
| 46 |
-
"I-
|
| 47 |
-
"I-
|
| 48 |
-
"I-
|
| 49 |
-
"I-
|
| 50 |
-
"
|
| 51 |
-
|
| 52 |
-
|
| 53 |
-
|
| 54 |
-
"
|
| 55 |
-
"
|
| 56 |
-
"
|
| 57 |
-
"
|
| 58 |
-
"
|
| 59 |
-
"
|
| 60 |
-
"
|
| 61 |
-
"
|
| 62 |
-
"
|
| 63 |
-
"
|
| 64 |
-
"
|
| 65 |
-
"
|
| 66 |
-
"
|
| 67 |
-
"
|
| 68 |
-
"
|
| 69 |
-
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "hfl/chinese-roberta-wwm-ext-large",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"BertForTokenClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"classifier_dropout": null,
|
| 9 |
+
"directionality": "bidi",
|
| 10 |
+
"eos_token_id": 2,
|
| 11 |
+
"hidden_act": "gelu",
|
| 12 |
+
"hidden_dropout_prob": 0.1,
|
| 13 |
+
"hidden_size": 1024,
|
| 14 |
+
"id2label": {
|
| 15 |
+
"0": "O",
|
| 16 |
+
"1": "B-GPE.NAM",
|
| 17 |
+
"2": "I-GPE.NAM",
|
| 18 |
+
"3": "B-GPE.NOM",
|
| 19 |
+
"4": "I-GPE.NOM",
|
| 20 |
+
"5": "B-LOC.NAM",
|
| 21 |
+
"6": "I-LOC.NAM",
|
| 22 |
+
"7": "B-LOC.NOM",
|
| 23 |
+
"8": "I-LOC.NOM",
|
| 24 |
+
"9": "B-ORG.NAM",
|
| 25 |
+
"10": "I-ORG.NAM",
|
| 26 |
+
"11": "B-ORG.NOM",
|
| 27 |
+
"12": "I-ORG.NOM",
|
| 28 |
+
"13": "B-PER.NAM",
|
| 29 |
+
"14": "I-PER.NAM",
|
| 30 |
+
"15": "B-PER.NOM",
|
| 31 |
+
"16": "I-PER.NOM"
|
| 32 |
+
},
|
| 33 |
+
"initializer_range": 0.02,
|
| 34 |
+
"intermediate_size": 4096,
|
| 35 |
+
"label2id": {
|
| 36 |
+
"B-GPE.NAM": 1,
|
| 37 |
+
"B-GPE.NOM": 3,
|
| 38 |
+
"B-LOC.NAM": 5,
|
| 39 |
+
"B-LOC.NOM": 7,
|
| 40 |
+
"B-ORG.NAM": 9,
|
| 41 |
+
"B-ORG.NOM": 11,
|
| 42 |
+
"B-PER.NAM": 13,
|
| 43 |
+
"B-PER.NOM": 15,
|
| 44 |
+
"I-GPE.NAM": 2,
|
| 45 |
+
"I-GPE.NOM": 4,
|
| 46 |
+
"I-LOC.NAM": 6,
|
| 47 |
+
"I-LOC.NOM": 8,
|
| 48 |
+
"I-ORG.NAM": 10,
|
| 49 |
+
"I-ORG.NOM": 12,
|
| 50 |
+
"I-PER.NAM": 14,
|
| 51 |
+
"I-PER.NOM": 16,
|
| 52 |
+
"O": 0
|
| 53 |
+
},
|
| 54 |
+
"layer_norm_eps": 1e-12,
|
| 55 |
+
"max_position_embeddings": 512,
|
| 56 |
+
"model_type": "bert",
|
| 57 |
+
"num_attention_heads": 16,
|
| 58 |
+
"num_hidden_layers": 24,
|
| 59 |
+
"output_past": true,
|
| 60 |
+
"pad_token_id": 0,
|
| 61 |
+
"pooler_fc_size": 768,
|
| 62 |
+
"pooler_num_attention_heads": 12,
|
| 63 |
+
"pooler_num_fc_layers": 3,
|
| 64 |
+
"pooler_size_per_head": 128,
|
| 65 |
+
"pooler_type": "first_token_transform",
|
| 66 |
+
"position_embedding_type": "absolute",
|
| 67 |
+
"torch_dtype": "float32",
|
| 68 |
+
"transformers_version": "4.46.2",
|
| 69 |
+
"type_vocab_size": 2,
|
| 70 |
+
"use_cache": true,
|
| 71 |
+
"vocab_size": 21128
|
| 72 |
+
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3dda6fcb04a69067e11eb87f057d11f711a4a5919091b5f0dad2125fcae6b999
|
| 3 |
+
size 1298007804
|
special_tokens_map.json
CHANGED
|
@@ -1,7 +1,37 @@
|
|
| 1 |
-
{
|
| 2 |
-
"cls_token":
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
tokenizer.json
CHANGED
|
@@ -68,7 +68,7 @@
|
|
| 68 |
"clean_text": true,
|
| 69 |
"handle_chinese_chars": true,
|
| 70 |
"strip_accents": null,
|
| 71 |
-
"lowercase":
|
| 72 |
},
|
| 73 |
"pre_tokenizer": {
|
| 74 |
"type": "BertPreTokenizer"
|
|
|
|
| 68 |
"clean_text": true,
|
| 69 |
"handle_chinese_chars": true,
|
| 70 |
"strip_accents": null,
|
| 71 |
+
"lowercase": true
|
| 72 |
},
|
| 73 |
"pre_tokenizer": {
|
| 74 |
"type": "BertPreTokenizer"
|
tokenizer_config.json
CHANGED
|
@@ -1,55 +1,55 @@
|
|
| 1 |
-
{
|
| 2 |
-
"added_tokens_decoder": {
|
| 3 |
-
"0": {
|
| 4 |
-
"content": "[PAD]",
|
| 5 |
-
"lstrip": false,
|
| 6 |
-
"normalized": false,
|
| 7 |
-
"rstrip": false,
|
| 8 |
-
"single_word": false,
|
| 9 |
-
"special": true
|
| 10 |
-
},
|
| 11 |
-
"100": {
|
| 12 |
-
"content": "[UNK]",
|
| 13 |
-
"lstrip": false,
|
| 14 |
-
"normalized": false,
|
| 15 |
-
"rstrip": false,
|
| 16 |
-
"single_word": false,
|
| 17 |
-
"special": true
|
| 18 |
-
},
|
| 19 |
-
"101": {
|
| 20 |
-
"content": "[CLS]",
|
| 21 |
-
"lstrip": false,
|
| 22 |
-
"normalized": false,
|
| 23 |
-
"rstrip": false,
|
| 24 |
-
"single_word": false,
|
| 25 |
-
"special": true
|
| 26 |
-
},
|
| 27 |
-
"102": {
|
| 28 |
-
"content": "[SEP]",
|
| 29 |
-
"lstrip": false,
|
| 30 |
-
"normalized": false,
|
| 31 |
-
"rstrip": false,
|
| 32 |
-
"single_word": false,
|
| 33 |
-
"special": true
|
| 34 |
-
},
|
| 35 |
-
"103": {
|
| 36 |
-
"content": "[MASK]",
|
| 37 |
-
"lstrip": false,
|
| 38 |
-
"normalized": false,
|
| 39 |
-
"rstrip": false,
|
| 40 |
-
"single_word": false,
|
| 41 |
-
"special": true
|
| 42 |
-
}
|
| 43 |
-
},
|
| 44 |
-
"clean_up_tokenization_spaces": false,
|
| 45 |
-
"cls_token": "[CLS]",
|
| 46 |
-
"do_lower_case":
|
| 47 |
-
"mask_token": "[MASK]",
|
| 48 |
-
"model_max_length":
|
| 49 |
-
"pad_token": "[PAD]",
|
| 50 |
-
"sep_token": "[SEP]",
|
| 51 |
-
"strip_accents": null,
|
| 52 |
-
"tokenize_chinese_chars": true,
|
| 53 |
-
"tokenizer_class": "BertTokenizer",
|
| 54 |
-
"unk_token": "[UNK]"
|
| 55 |
-
}
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": false,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_lower_case": true,
|
| 47 |
+
"mask_token": "[MASK]",
|
| 48 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 49 |
+
"pad_token": "[PAD]",
|
| 50 |
+
"sep_token": "[SEP]",
|
| 51 |
+
"strip_accents": null,
|
| 52 |
+
"tokenize_chinese_chars": true,
|
| 53 |
+
"tokenizer_class": "BertTokenizer",
|
| 54 |
+
"unk_token": "[UNK]"
|
| 55 |
+
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2be9122db2f3ce57bcd972d8e64985a7f8de4d203061a177c354ec30aaf3cac
|
| 3 |
+
size 5304
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