End of training
Browse files- README.md +205 -0
- config.json +30 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +66 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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| 1 |
+
---
|
| 2 |
+
license: cc-by-4.0
|
| 3 |
+
base_model: deepset/roberta-base-squad2
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
model-index:
|
| 7 |
+
- name: bankstatementmodelver7
|
| 8 |
+
results: []
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 12 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 13 |
+
|
| 14 |
+
# bankstatementmodelver7
|
| 15 |
+
|
| 16 |
+
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
|
| 17 |
+
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 0.0745
|
| 19 |
+
|
| 20 |
+
## Model description
|
| 21 |
+
|
| 22 |
+
More information needed
|
| 23 |
+
|
| 24 |
+
## Intended uses & limitations
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Training and evaluation data
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training procedure
|
| 33 |
+
|
| 34 |
+
### Training hyperparameters
|
| 35 |
+
|
| 36 |
+
The following hyperparameters were used during training:
|
| 37 |
+
- learning_rate: 2e-05
|
| 38 |
+
- train_batch_size: 16
|
| 39 |
+
- eval_batch_size: 11
|
| 40 |
+
- seed: 42
|
| 41 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 42 |
+
- lr_scheduler_type: linear
|
| 43 |
+
- num_epochs: 150
|
| 44 |
+
|
| 45 |
+
### Training results
|
| 46 |
+
|
| 47 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 48 |
+
|:-------------:|:-----:|:-----:|:---------------:|
|
| 49 |
+
| 0.0981 | 1.0 | 532 | 0.0672 |
|
| 50 |
+
| 0.0425 | 2.0 | 1064 | 0.0565 |
|
| 51 |
+
| 0.0376 | 3.0 | 1596 | 0.0546 |
|
| 52 |
+
| 0.026 | 4.0 | 2128 | 0.0309 |
|
| 53 |
+
| 0.0258 | 5.0 | 2660 | 0.0258 |
|
| 54 |
+
| 0.0211 | 6.0 | 3192 | 0.0397 |
|
| 55 |
+
| 0.0184 | 7.0 | 3724 | 0.0549 |
|
| 56 |
+
| 0.0222 | 8.0 | 4256 | 0.0354 |
|
| 57 |
+
| 0.0191 | 9.0 | 4788 | 0.0216 |
|
| 58 |
+
| 0.0209 | 10.0 | 5320 | 0.0403 |
|
| 59 |
+
| 0.0142 | 11.0 | 5852 | 0.0325 |
|
| 60 |
+
| 0.0143 | 12.0 | 6384 | 0.0317 |
|
| 61 |
+
| 0.0139 | 13.0 | 6916 | 0.0337 |
|
| 62 |
+
| 0.0146 | 14.0 | 7448 | 0.0315 |
|
| 63 |
+
| 0.0142 | 15.0 | 7980 | 0.0321 |
|
| 64 |
+
| 0.0132 | 16.0 | 8512 | 0.0216 |
|
| 65 |
+
| 0.0118 | 17.0 | 9044 | 0.0337 |
|
| 66 |
+
| 0.0174 | 18.0 | 9576 | 0.0427 |
|
| 67 |
+
| 0.0141 | 19.0 | 10108 | 0.0326 |
|
| 68 |
+
| 0.0127 | 20.0 | 10640 | 0.0408 |
|
| 69 |
+
| 0.014 | 21.0 | 11172 | 0.0355 |
|
| 70 |
+
| 0.0098 | 22.0 | 11704 | 0.0300 |
|
| 71 |
+
| 0.0116 | 23.0 | 12236 | 0.0220 |
|
| 72 |
+
| 0.012 | 24.0 | 12768 | 0.0345 |
|
| 73 |
+
| 0.0135 | 25.0 | 13300 | 0.0351 |
|
| 74 |
+
| 0.01 | 26.0 | 13832 | 0.0282 |
|
| 75 |
+
| 0.0091 | 27.0 | 14364 | 0.0291 |
|
| 76 |
+
| 0.0094 | 28.0 | 14896 | 0.0512 |
|
| 77 |
+
| 0.0116 | 29.0 | 15428 | 0.0278 |
|
| 78 |
+
| 0.0077 | 30.0 | 15960 | 0.0447 |
|
| 79 |
+
| 0.0096 | 31.0 | 16492 | 0.0338 |
|
| 80 |
+
| 0.0097 | 32.0 | 17024 | 0.0302 |
|
| 81 |
+
| 0.0098 | 33.0 | 17556 | 0.0279 |
|
| 82 |
+
| 0.0093 | 34.0 | 18088 | 0.0260 |
|
| 83 |
+
| 0.0099 | 35.0 | 18620 | 0.0432 |
|
| 84 |
+
| 0.0104 | 36.0 | 19152 | 0.0297 |
|
| 85 |
+
| 0.0083 | 37.0 | 19684 | 0.0288 |
|
| 86 |
+
| 0.0076 | 38.0 | 20216 | 0.0404 |
|
| 87 |
+
| 0.0114 | 39.0 | 20748 | 0.0366 |
|
| 88 |
+
| 0.0073 | 40.0 | 21280 | 0.0381 |
|
| 89 |
+
| 0.0102 | 41.0 | 21812 | 0.0473 |
|
| 90 |
+
| 0.0082 | 42.0 | 22344 | 0.0386 |
|
| 91 |
+
| 0.0064 | 43.0 | 22876 | 0.0172 |
|
| 92 |
+
| 0.0081 | 44.0 | 23408 | 0.0626 |
|
| 93 |
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| 0.0075 | 45.0 | 23940 | 0.0410 |
|
| 94 |
+
| 0.0077 | 46.0 | 24472 | 0.1468 |
|
| 95 |
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| 0.0095 | 47.0 | 25004 | 0.0436 |
|
| 96 |
+
| 0.0068 | 48.0 | 25536 | 0.0494 |
|
| 97 |
+
| 0.0055 | 49.0 | 26068 | 0.0484 |
|
| 98 |
+
| 0.0051 | 50.0 | 26600 | 0.0438 |
|
| 99 |
+
| 0.004 | 51.0 | 27132 | 0.0398 |
|
| 100 |
+
| 0.0043 | 52.0 | 27664 | 0.0546 |
|
| 101 |
+
| 0.005 | 53.0 | 28196 | 0.0509 |
|
| 102 |
+
| 0.0033 | 54.0 | 28728 | 0.0510 |
|
| 103 |
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| 0.0054 | 55.0 | 29260 | 0.0554 |
|
| 104 |
+
| 0.004 | 56.0 | 29792 | 0.0430 |
|
| 105 |
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| 0.0037 | 57.0 | 30324 | 0.0622 |
|
| 106 |
+
| 0.0028 | 58.0 | 30856 | 0.0573 |
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| 107 |
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| 0.0055 | 59.0 | 31388 | 0.0585 |
|
| 108 |
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| 0.002 | 60.0 | 31920 | 0.0508 |
|
| 109 |
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| 0.005 | 61.0 | 32452 | 0.0648 |
|
| 110 |
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| 0.0031 | 62.0 | 32984 | 0.0541 |
|
| 111 |
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| 0.0039 | 63.0 | 33516 | 0.0567 |
|
| 112 |
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| 0.0018 | 64.0 | 34048 | 0.0627 |
|
| 113 |
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| 0.002 | 65.0 | 34580 | 0.0445 |
|
| 114 |
+
| 0.003 | 66.0 | 35112 | 0.0708 |
|
| 115 |
+
| 0.0009 | 67.0 | 35644 | 0.0528 |
|
| 116 |
+
| 0.0015 | 68.0 | 36176 | 0.0613 |
|
| 117 |
+
| 0.0019 | 69.0 | 36708 | 0.0576 |
|
| 118 |
+
| 0.0023 | 70.0 | 37240 | 0.0592 |
|
| 119 |
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| 0.0018 | 71.0 | 37772 | 0.0499 |
|
| 120 |
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| 0.0011 | 72.0 | 38304 | 0.0495 |
|
| 121 |
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| 0.0014 | 73.0 | 38836 | 0.0463 |
|
| 122 |
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| 0.0014 | 74.0 | 39368 | 0.0493 |
|
| 123 |
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| 0.0017 | 75.0 | 39900 | 0.0532 |
|
| 124 |
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| 0.0008 | 76.0 | 40432 | 0.0666 |
|
| 125 |
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| 0.0005 | 77.0 | 40964 | 0.0514 |
|
| 126 |
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| 0.002 | 78.0 | 41496 | 0.0702 |
|
| 127 |
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| 0.0026 | 79.0 | 42028 | 0.0426 |
|
| 128 |
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| 0.0001 | 80.0 | 42560 | 0.0481 |
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| 129 |
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| 0.0019 | 81.0 | 43092 | 0.0551 |
|
| 130 |
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| 0.0001 | 82.0 | 43624 | 0.0550 |
|
| 131 |
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| 0.0 | 83.0 | 44156 | 0.0613 |
|
| 132 |
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| 0.0012 | 84.0 | 44688 | 0.0568 |
|
| 133 |
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| 0.0006 | 85.0 | 45220 | 0.0602 |
|
| 134 |
+
| 0.0001 | 86.0 | 45752 | 0.0623 |
|
| 135 |
+
| 0.0004 | 87.0 | 46284 | 0.0522 |
|
| 136 |
+
| 0.0007 | 88.0 | 46816 | 0.0647 |
|
| 137 |
+
| 0.0001 | 89.0 | 47348 | 0.0593 |
|
| 138 |
+
| 0.0002 | 90.0 | 47880 | 0.0552 |
|
| 139 |
+
| 0.0016 | 91.0 | 48412 | 0.0475 |
|
| 140 |
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| 0.0005 | 92.0 | 48944 | 0.0531 |
|
| 141 |
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| 0.0011 | 93.0 | 49476 | 0.0574 |
|
| 142 |
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| 0.0 | 94.0 | 50008 | 0.0591 |
|
| 143 |
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| 0.0 | 95.0 | 50540 | 0.0606 |
|
| 144 |
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| 0.0005 | 96.0 | 51072 | 0.0599 |
|
| 145 |
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| 0.0018 | 97.0 | 51604 | 0.0505 |
|
| 146 |
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| 0.0 | 98.0 | 52136 | 0.0568 |
|
| 147 |
+
| 0.0011 | 99.0 | 52668 | 0.0692 |
|
| 148 |
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| 0.0 | 100.0 | 53200 | 0.0702 |
|
| 149 |
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| 0.0002 | 101.0 | 53732 | 0.0743 |
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| 150 |
+
| 0.0 | 102.0 | 54264 | 0.0822 |
|
| 151 |
+
| 0.0007 | 103.0 | 54796 | 0.0905 |
|
| 152 |
+
| 0.0001 | 104.0 | 55328 | 0.0822 |
|
| 153 |
+
| 0.0005 | 105.0 | 55860 | 0.0792 |
|
| 154 |
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| 0.0004 | 106.0 | 56392 | 0.0683 |
|
| 155 |
+
| 0.0018 | 107.0 | 56924 | 0.0526 |
|
| 156 |
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| 0.0029 | 108.0 | 57456 | 0.0600 |
|
| 157 |
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| 0.0005 | 109.0 | 57988 | 0.0631 |
|
| 158 |
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| 0.0 | 110.0 | 58520 | 0.0659 |
|
| 159 |
+
| 0.0006 | 111.0 | 59052 | 0.0663 |
|
| 160 |
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| 0.0 | 112.0 | 59584 | 0.0681 |
|
| 161 |
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| 0.0012 | 113.0 | 60116 | 0.0537 |
|
| 162 |
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| 0.0 | 114.0 | 60648 | 0.0558 |
|
| 163 |
+
| 0.0 | 115.0 | 61180 | 0.0574 |
|
| 164 |
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| 0.0006 | 116.0 | 61712 | 0.0563 |
|
| 165 |
+
| 0.0 | 117.0 | 62244 | 0.0479 |
|
| 166 |
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| 0.0015 | 118.0 | 62776 | 0.0584 |
|
| 167 |
+
| 0.0 | 119.0 | 63308 | 0.0606 |
|
| 168 |
+
| 0.0 | 120.0 | 63840 | 0.0624 |
|
| 169 |
+
| 0.0006 | 121.0 | 64372 | 0.0655 |
|
| 170 |
+
| 0.0003 | 122.0 | 64904 | 0.0688 |
|
| 171 |
+
| 0.0 | 123.0 | 65436 | 0.0790 |
|
| 172 |
+
| 0.0001 | 124.0 | 65968 | 0.0713 |
|
| 173 |
+
| 0.0 | 125.0 | 66500 | 0.0721 |
|
| 174 |
+
| 0.0006 | 126.0 | 67032 | 0.0689 |
|
| 175 |
+
| 0.0 | 127.0 | 67564 | 0.0679 |
|
| 176 |
+
| 0.0 | 128.0 | 68096 | 0.0693 |
|
| 177 |
+
| 0.0005 | 129.0 | 68628 | 0.0688 |
|
| 178 |
+
| 0.0 | 130.0 | 69160 | 0.0696 |
|
| 179 |
+
| 0.0 | 131.0 | 69692 | 0.0702 |
|
| 180 |
+
| 0.0 | 132.0 | 70224 | 0.0715 |
|
| 181 |
+
| 0.0 | 133.0 | 70756 | 0.0727 |
|
| 182 |
+
| 0.0 | 134.0 | 71288 | 0.0708 |
|
| 183 |
+
| 0.0 | 135.0 | 71820 | 0.0715 |
|
| 184 |
+
| 0.0 | 136.0 | 72352 | 0.0724 |
|
| 185 |
+
| 0.0 | 137.0 | 72884 | 0.0762 |
|
| 186 |
+
| 0.0 | 138.0 | 73416 | 0.0797 |
|
| 187 |
+
| 0.0 | 139.0 | 73948 | 0.0800 |
|
| 188 |
+
| 0.0 | 140.0 | 74480 | 0.0808 |
|
| 189 |
+
| 0.0 | 141.0 | 75012 | 0.0834 |
|
| 190 |
+
| 0.0 | 142.0 | 75544 | 0.0833 |
|
| 191 |
+
| 0.0014 | 143.0 | 76076 | 0.0782 |
|
| 192 |
+
| 0.0 | 144.0 | 76608 | 0.0748 |
|
| 193 |
+
| 0.0 | 145.0 | 77140 | 0.0749 |
|
| 194 |
+
| 0.0 | 146.0 | 77672 | 0.0751 |
|
| 195 |
+
| 0.0 | 147.0 | 78204 | 0.0738 |
|
| 196 |
+
| 0.0 | 148.0 | 78736 | 0.0744 |
|
| 197 |
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| 0.0 | 149.0 | 79268 | 0.0744 |
|
| 198 |
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| 0.0 | 150.0 | 79800 | 0.0745 |
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| 199 |
+
|
| 200 |
+
|
| 201 |
+
### Framework versions
|
| 202 |
+
|
| 203 |
+
- Transformers 4.33.2
|
| 204 |
+
- Pytorch 2.0.1+cu118
|
| 205 |
+
- Tokenizers 0.13.3
|
config.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "deepset/roberta-base-squad2",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"RobertaForQuestionAnswering"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"classifier_dropout": null,
|
| 9 |
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"eos_token_id": 2,
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| 10 |
+
"gradient_checkpointing": false,
|
| 11 |
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"hidden_act": "gelu",
|
| 12 |
+
"hidden_dropout_prob": 0.1,
|
| 13 |
+
"hidden_size": 768,
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 3072,
|
| 16 |
+
"language": "english",
|
| 17 |
+
"layer_norm_eps": 1e-05,
|
| 18 |
+
"max_position_embeddings": 514,
|
| 19 |
+
"model_type": "roberta",
|
| 20 |
+
"name": "Roberta",
|
| 21 |
+
"num_attention_heads": 12,
|
| 22 |
+
"num_hidden_layers": 12,
|
| 23 |
+
"pad_token_id": 1,
|
| 24 |
+
"position_embedding_type": "absolute",
|
| 25 |
+
"torch_dtype": "float32",
|
| 26 |
+
"transformers_version": "4.33.2",
|
| 27 |
+
"type_vocab_size": 1,
|
| 28 |
+
"use_cache": true,
|
| 29 |
+
"vocab_size": 50265
|
| 30 |
+
}
|
merges.txt
ADDED
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pytorch_model.bin
ADDED
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:3a1fcda46fc9aa84f48d60ed9a07f5de7583d0e4cdca3725565f26a32a545b81
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| 3 |
+
size 496294633
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special_tokens_map.json
ADDED
|
@@ -0,0 +1,51 @@
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| 1 |
+
{
|
| 2 |
+
"bos_token": {
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| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"cls_token": {
|
| 10 |
+
"content": "<s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
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"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": true,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "<mask>",
|
| 25 |
+
"lstrip": true,
|
| 26 |
+
"normalized": true,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "<pad>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"sep_token": {
|
| 38 |
+
"content": "</s>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": true,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
},
|
| 44 |
+
"unk_token": {
|
| 45 |
+
"content": "<unk>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": true,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
|
tokenizer.json
ADDED
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,66 @@
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|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"bos_token": {
|
| 4 |
+
"__type": "AddedToken",
|
| 5 |
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"content": "<s>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": true,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false
|
| 10 |
+
},
|
| 11 |
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"clean_up_tokenization_spaces": true,
|
| 12 |
+
"cls_token": {
|
| 13 |
+
"__type": "AddedToken",
|
| 14 |
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"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": true,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false
|
| 19 |
+
},
|
| 20 |
+
"do_lower_case": false,
|
| 21 |
+
"eos_token": {
|
| 22 |
+
"__type": "AddedToken",
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": true,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false
|
| 28 |
+
},
|
| 29 |
+
"errors": "replace",
|
| 30 |
+
"full_tokenizer_file": null,
|
| 31 |
+
"mask_token": {
|
| 32 |
+
"__type": "AddedToken",
|
| 33 |
+
"content": "<mask>",
|
| 34 |
+
"lstrip": true,
|
| 35 |
+
"normalized": true,
|
| 36 |
+
"rstrip": false,
|
| 37 |
+
"single_word": false
|
| 38 |
+
},
|
| 39 |
+
"model_max_length": 512,
|
| 40 |
+
"pad_token": {
|
| 41 |
+
"__type": "AddedToken",
|
| 42 |
+
"content": "<pad>",
|
| 43 |
+
"lstrip": false,
|
| 44 |
+
"normalized": true,
|
| 45 |
+
"rstrip": false,
|
| 46 |
+
"single_word": false
|
| 47 |
+
},
|
| 48 |
+
"sep_token": {
|
| 49 |
+
"__type": "AddedToken",
|
| 50 |
+
"content": "</s>",
|
| 51 |
+
"lstrip": false,
|
| 52 |
+
"normalized": true,
|
| 53 |
+
"rstrip": false,
|
| 54 |
+
"single_word": false
|
| 55 |
+
},
|
| 56 |
+
"tokenizer_class": "RobertaTokenizer",
|
| 57 |
+
"trim_offsets": true,
|
| 58 |
+
"unk_token": {
|
| 59 |
+
"__type": "AddedToken",
|
| 60 |
+
"content": "<unk>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": true,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false
|
| 65 |
+
}
|
| 66 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:2b4e12af228aa04601d15a2592ea65dac8fed2b9c70e38f56044918d126260ad
|
| 3 |
+
size 4027
|
vocab.json
ADDED
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The diff for this file is too large to render.
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|
|
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