End of training
Browse files- README.md +260 -0
- model.safetensors +1 -1
- runs/Jan13_19-20-45_ben-iir/events.out.tfevents.1736796046.ben-iir.2398306.0 +2 -2
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +945 -0
README.md
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| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: apache-2.0
|
| 4 |
+
base_model: answerdotai/ModernBERT-large
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| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- f1
|
| 9 |
+
model-index:
|
| 10 |
+
- name: ST2_modernbert-large_product_V2
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# ST2_modernbert-large_product_V2
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on the None dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 3.4344
|
| 22 |
+
- F1: 0.5304
|
| 23 |
+
|
| 24 |
+
## Model description
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Intended uses & limitations
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training and evaluation data
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training procedure
|
| 37 |
+
|
| 38 |
+
### Training hyperparameters
|
| 39 |
+
|
| 40 |
+
The following hyperparameters were used during training:
|
| 41 |
+
- learning_rate: 5e-05
|
| 42 |
+
- train_batch_size: 36
|
| 43 |
+
- eval_batch_size: 16
|
| 44 |
+
- seed: 42
|
| 45 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 46 |
+
- lr_scheduler_type: linear
|
| 47 |
+
- num_epochs: 200
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss | F1 |
|
| 52 |
+
|:-------------:|:-----:|:-----:|:---------------:|:------:|
|
| 53 |
+
| 6.5291 | 1.0 | 124 | 6.1481 | 0.0198 |
|
| 54 |
+
| 5.7897 | 2.0 | 248 | 4.1589 | 0.2530 |
|
| 55 |
+
| 3.7526 | 3.0 | 372 | 3.1379 | 0.3966 |
|
| 56 |
+
| 1.9849 | 4.0 | 496 | 2.8741 | 0.4916 |
|
| 57 |
+
| 0.3139 | 5.0 | 620 | 2.8435 | 0.4837 |
|
| 58 |
+
| 0.2204 | 6.0 | 744 | 2.8593 | 0.5099 |
|
| 59 |
+
| 0.1745 | 7.0 | 868 | 3.0514 | 0.5088 |
|
| 60 |
+
| 0.1387 | 8.0 | 992 | 2.8805 | 0.5178 |
|
| 61 |
+
| 0.0734 | 9.0 | 1116 | 2.9076 | 0.5170 |
|
| 62 |
+
| 0.0646 | 10.0 | 1240 | 2.8863 | 0.5319 |
|
| 63 |
+
| 0.0289 | 11.0 | 1364 | 2.9510 | 0.5294 |
|
| 64 |
+
| 0.0443 | 12.0 | 1488 | 2.9005 | 0.5265 |
|
| 65 |
+
| 0.0251 | 13.0 | 1612 | 2.9952 | 0.5139 |
|
| 66 |
+
| 0.048 | 14.0 | 1736 | 2.9175 | 0.5338 |
|
| 67 |
+
| 0.008 | 15.0 | 1860 | 2.8908 | 0.5310 |
|
| 68 |
+
| 0.0137 | 16.0 | 1984 | 2.9082 | 0.5345 |
|
| 69 |
+
| 0.0089 | 17.0 | 2108 | 2.9541 | 0.5363 |
|
| 70 |
+
| 0.0137 | 18.0 | 2232 | 2.9846 | 0.5272 |
|
| 71 |
+
| 0.0136 | 19.0 | 2356 | 3.0461 | 0.5291 |
|
| 72 |
+
| 0.0119 | 20.0 | 2480 | 2.9575 | 0.5231 |
|
| 73 |
+
| 0.0054 | 21.0 | 2604 | 2.9088 | 0.5449 |
|
| 74 |
+
| 0.0071 | 22.0 | 2728 | 3.0477 | 0.5178 |
|
| 75 |
+
| 0.0244 | 23.0 | 2852 | 3.0782 | 0.5169 |
|
| 76 |
+
| 0.0276 | 24.0 | 2976 | 3.1306 | 0.5170 |
|
| 77 |
+
| 0.0665 | 25.0 | 3100 | 3.2074 | 0.5115 |
|
| 78 |
+
| 0.0457 | 26.0 | 3224 | 3.1918 | 0.5156 |
|
| 79 |
+
| 0.0269 | 27.0 | 3348 | 3.0512 | 0.5328 |
|
| 80 |
+
| 0.0118 | 28.0 | 3472 | 3.1252 | 0.5208 |
|
| 81 |
+
| 0.014 | 29.0 | 3596 | 3.1192 | 0.5366 |
|
| 82 |
+
| 0.0036 | 30.0 | 3720 | 3.1020 | 0.5379 |
|
| 83 |
+
| 0.0039 | 31.0 | 3844 | 3.0947 | 0.5419 |
|
| 84 |
+
| 0.0039 | 32.0 | 3968 | 3.1090 | 0.5405 |
|
| 85 |
+
| 0.0035 | 33.0 | 4092 | 3.1003 | 0.5402 |
|
| 86 |
+
| 0.0025 | 34.0 | 4216 | 3.1039 | 0.5432 |
|
| 87 |
+
| 0.0043 | 35.0 | 4340 | 3.1213 | 0.5421 |
|
| 88 |
+
| 0.002 | 36.0 | 4464 | 3.1008 | 0.5378 |
|
| 89 |
+
| 0.0029 | 37.0 | 4588 | 3.1063 | 0.5424 |
|
| 90 |
+
| 0.0024 | 38.0 | 4712 | 3.1267 | 0.5420 |
|
| 91 |
+
| 0.0038 | 39.0 | 4836 | 3.1236 | 0.5419 |
|
| 92 |
+
| 0.0027 | 40.0 | 4960 | 3.1090 | 0.5403 |
|
| 93 |
+
| 0.003 | 41.0 | 5084 | 3.1140 | 0.5405 |
|
| 94 |
+
| 0.003 | 42.0 | 5208 | 3.1305 | 0.5408 |
|
| 95 |
+
| 0.0067 | 43.0 | 5332 | 3.0086 | 0.5453 |
|
| 96 |
+
| 0.0083 | 44.0 | 5456 | 3.1991 | 0.5158 |
|
| 97 |
+
| 0.0394 | 45.0 | 5580 | 3.2579 | 0.5074 |
|
| 98 |
+
| 0.0763 | 46.0 | 5704 | 3.2113 | 0.5133 |
|
| 99 |
+
| 0.0419 | 47.0 | 5828 | 3.3182 | 0.5196 |
|
| 100 |
+
| 0.02 | 48.0 | 5952 | 3.2911 | 0.5242 |
|
| 101 |
+
| 0.0153 | 49.0 | 6076 | 3.2990 | 0.5241 |
|
| 102 |
+
| 0.01 | 50.0 | 6200 | 3.2567 | 0.5253 |
|
| 103 |
+
| 0.0034 | 51.0 | 6324 | 3.2880 | 0.5307 |
|
| 104 |
+
| 0.0016 | 52.0 | 6448 | 3.2883 | 0.5299 |
|
| 105 |
+
| 0.0037 | 53.0 | 6572 | 3.2832 | 0.5291 |
|
| 106 |
+
| 0.0024 | 54.0 | 6696 | 3.2893 | 0.5305 |
|
| 107 |
+
| 0.0029 | 55.0 | 6820 | 3.2853 | 0.5301 |
|
| 108 |
+
| 0.0013 | 56.0 | 6944 | 3.2936 | 0.5319 |
|
| 109 |
+
| 0.0042 | 57.0 | 7068 | 3.2950 | 0.5301 |
|
| 110 |
+
| 0.0028 | 58.0 | 7192 | 3.2941 | 0.5305 |
|
| 111 |
+
| 0.0027 | 59.0 | 7316 | 3.2915 | 0.5303 |
|
| 112 |
+
| 0.0024 | 60.0 | 7440 | 3.2996 | 0.5297 |
|
| 113 |
+
| 0.002 | 61.0 | 7564 | 3.3013 | 0.5313 |
|
| 114 |
+
| 0.0033 | 62.0 | 7688 | 3.3001 | 0.5312 |
|
| 115 |
+
| 0.0029 | 63.0 | 7812 | 3.3077 | 0.5291 |
|
| 116 |
+
| 0.0029 | 64.0 | 7936 | 3.3084 | 0.5324 |
|
| 117 |
+
| 0.002 | 65.0 | 8060 | 3.3016 | 0.5313 |
|
| 118 |
+
| 0.0032 | 66.0 | 8184 | 3.3133 | 0.5312 |
|
| 119 |
+
| 0.003 | 67.0 | 8308 | 3.3083 | 0.5312 |
|
| 120 |
+
| 0.0025 | 68.0 | 8432 | 3.3116 | 0.5300 |
|
| 121 |
+
| 0.0019 | 69.0 | 8556 | 3.3131 | 0.5311 |
|
| 122 |
+
| 0.0042 | 70.0 | 8680 | 3.3165 | 0.5321 |
|
| 123 |
+
| 0.0031 | 71.0 | 8804 | 3.3199 | 0.5306 |
|
| 124 |
+
| 0.0018 | 72.0 | 8928 | 3.3196 | 0.5307 |
|
| 125 |
+
| 0.0038 | 73.0 | 9052 | 3.3242 | 0.5293 |
|
| 126 |
+
| 0.0027 | 74.0 | 9176 | 3.3262 | 0.5314 |
|
| 127 |
+
| 0.0031 | 75.0 | 9300 | 3.3151 | 0.5307 |
|
| 128 |
+
| 0.0019 | 76.0 | 9424 | 3.3329 | 0.5299 |
|
| 129 |
+
| 0.0028 | 77.0 | 9548 | 3.3254 | 0.5300 |
|
| 130 |
+
| 0.0022 | 78.0 | 9672 | 3.3366 | 0.5287 |
|
| 131 |
+
| 0.0026 | 79.0 | 9796 | 3.3200 | 0.5317 |
|
| 132 |
+
| 0.003 | 80.0 | 9920 | 3.3351 | 0.5275 |
|
| 133 |
+
| 0.0016 | 81.0 | 10044 | 3.3367 | 0.5275 |
|
| 134 |
+
| 0.0027 | 82.0 | 10168 | 3.3283 | 0.5304 |
|
| 135 |
+
| 0.003 | 83.0 | 10292 | 3.3463 | 0.5325 |
|
| 136 |
+
| 0.0032 | 84.0 | 10416 | 3.3090 | 0.5330 |
|
| 137 |
+
| 0.0021 | 85.0 | 10540 | 3.3475 | 0.5305 |
|
| 138 |
+
| 0.0014 | 86.0 | 10664 | 3.3454 | 0.5282 |
|
| 139 |
+
| 0.003 | 87.0 | 10788 | 3.3513 | 0.5282 |
|
| 140 |
+
| 0.002 | 88.0 | 10912 | 3.3402 | 0.5326 |
|
| 141 |
+
| 0.0026 | 89.0 | 11036 | 3.3596 | 0.5320 |
|
| 142 |
+
| 0.0029 | 90.0 | 11160 | 3.3535 | 0.5329 |
|
| 143 |
+
| 0.0022 | 91.0 | 11284 | 3.3501 | 0.5290 |
|
| 144 |
+
| 0.0024 | 92.0 | 11408 | 3.3674 | 0.5298 |
|
| 145 |
+
| 0.0023 | 93.0 | 11532 | 3.3492 | 0.5319 |
|
| 146 |
+
| 0.0026 | 94.0 | 11656 | 3.3474 | 0.5346 |
|
| 147 |
+
| 0.0024 | 95.0 | 11780 | 3.3547 | 0.5286 |
|
| 148 |
+
| 0.0028 | 96.0 | 11904 | 3.3649 | 0.5305 |
|
| 149 |
+
| 0.0019 | 97.0 | 12028 | 3.3424 | 0.5307 |
|
| 150 |
+
| 0.003 | 98.0 | 12152 | 3.3582 | 0.5329 |
|
| 151 |
+
| 0.0029 | 99.0 | 12276 | 3.3664 | 0.5333 |
|
| 152 |
+
| 0.0025 | 100.0 | 12400 | 3.3732 | 0.5402 |
|
| 153 |
+
| 0.0021 | 101.0 | 12524 | 3.3765 | 0.5381 |
|
| 154 |
+
| 0.0026 | 102.0 | 12648 | 3.3801 | 0.5384 |
|
| 155 |
+
| 0.002 | 103.0 | 12772 | 3.3830 | 0.5351 |
|
| 156 |
+
| 0.0024 | 104.0 | 12896 | 3.3898 | 0.5360 |
|
| 157 |
+
| 0.0026 | 105.0 | 13020 | 3.3894 | 0.5383 |
|
| 158 |
+
| 0.0023 | 106.0 | 13144 | 3.3856 | 0.5353 |
|
| 159 |
+
| 0.0019 | 107.0 | 13268 | 3.3820 | 0.5340 |
|
| 160 |
+
| 0.0019 | 108.0 | 13392 | 3.3777 | 0.5365 |
|
| 161 |
+
| 0.0357 | 109.0 | 13516 | 3.2403 | 0.5198 |
|
| 162 |
+
| 0.0276 | 110.0 | 13640 | 3.3396 | 0.5119 |
|
| 163 |
+
| 0.0191 | 111.0 | 13764 | 3.3109 | 0.5063 |
|
| 164 |
+
| 0.0048 | 112.0 | 13888 | 3.2736 | 0.5128 |
|
| 165 |
+
| 0.0013 | 113.0 | 14012 | 3.2770 | 0.5133 |
|
| 166 |
+
| 0.0024 | 114.0 | 14136 | 3.2803 | 0.5139 |
|
| 167 |
+
| 0.0023 | 115.0 | 14260 | 3.2824 | 0.5141 |
|
| 168 |
+
| 0.0015 | 116.0 | 14384 | 3.2858 | 0.5144 |
|
| 169 |
+
| 0.0022 | 117.0 | 14508 | 3.2887 | 0.5158 |
|
| 170 |
+
| 0.0018 | 118.0 | 14632 | 3.2916 | 0.5184 |
|
| 171 |
+
| 0.0014 | 119.0 | 14756 | 3.2951 | 0.5168 |
|
| 172 |
+
| 0.0029 | 120.0 | 14880 | 3.2968 | 0.5177 |
|
| 173 |
+
| 0.002 | 121.0 | 15004 | 3.2975 | 0.5189 |
|
| 174 |
+
| 0.002 | 122.0 | 15128 | 3.3010 | 0.5183 |
|
| 175 |
+
| 0.0028 | 123.0 | 15252 | 3.3035 | 0.5193 |
|
| 176 |
+
| 0.0013 | 124.0 | 15376 | 3.3065 | 0.5203 |
|
| 177 |
+
| 0.0024 | 125.0 | 15500 | 3.3078 | 0.5200 |
|
| 178 |
+
| 0.0017 | 126.0 | 15624 | 3.3096 | 0.5212 |
|
| 179 |
+
| 0.0019 | 127.0 | 15748 | 3.3095 | 0.5206 |
|
| 180 |
+
| 0.0023 | 128.0 | 15872 | 3.3131 | 0.5234 |
|
| 181 |
+
| 0.002 | 129.0 | 15996 | 3.3153 | 0.5250 |
|
| 182 |
+
| 0.0022 | 130.0 | 16120 | 3.3188 | 0.5226 |
|
| 183 |
+
| 0.0018 | 131.0 | 16244 | 3.3204 | 0.5228 |
|
| 184 |
+
| 0.0024 | 132.0 | 16368 | 3.3209 | 0.5235 |
|
| 185 |
+
| 0.0021 | 133.0 | 16492 | 3.3222 | 0.5226 |
|
| 186 |
+
| 0.002 | 134.0 | 16616 | 3.3239 | 0.5248 |
|
| 187 |
+
| 0.0019 | 135.0 | 16740 | 3.3267 | 0.5244 |
|
| 188 |
+
| 0.0017 | 136.0 | 16864 | 3.3273 | 0.5233 |
|
| 189 |
+
| 0.0024 | 137.0 | 16988 | 3.3287 | 0.5252 |
|
| 190 |
+
| 0.0019 | 138.0 | 17112 | 3.3299 | 0.5267 |
|
| 191 |
+
| 0.0024 | 139.0 | 17236 | 3.3319 | 0.5255 |
|
| 192 |
+
| 0.0014 | 140.0 | 17360 | 3.3336 | 0.5239 |
|
| 193 |
+
| 0.002 | 141.0 | 17484 | 3.3339 | 0.5256 |
|
| 194 |
+
| 0.0021 | 142.0 | 17608 | 3.3358 | 0.5240 |
|
| 195 |
+
| 0.002 | 143.0 | 17732 | 3.3365 | 0.5259 |
|
| 196 |
+
| 0.0017 | 144.0 | 17856 | 3.3398 | 0.5259 |
|
| 197 |
+
| 0.0015 | 145.0 | 17980 | 3.3438 | 0.5248 |
|
| 198 |
+
| 0.0016 | 146.0 | 18104 | 3.3428 | 0.5241 |
|
| 199 |
+
| 0.002 | 147.0 | 18228 | 3.3448 | 0.5254 |
|
| 200 |
+
| 0.0013 | 148.0 | 18352 | 3.3469 | 0.5248 |
|
| 201 |
+
| 0.0027 | 149.0 | 18476 | 3.3495 | 0.5256 |
|
| 202 |
+
| 0.0016 | 150.0 | 18600 | 3.3509 | 0.5255 |
|
| 203 |
+
| 0.0017 | 151.0 | 18724 | 3.3539 | 0.5252 |
|
| 204 |
+
| 0.0023 | 152.0 | 18848 | 3.3545 | 0.5257 |
|
| 205 |
+
| 0.0024 | 153.0 | 18972 | 3.3580 | 0.5264 |
|
| 206 |
+
| 0.001 | 154.0 | 19096 | 3.3616 | 0.5251 |
|
| 207 |
+
| 0.0021 | 155.0 | 19220 | 3.3632 | 0.5251 |
|
| 208 |
+
| 0.0016 | 156.0 | 19344 | 3.3629 | 0.5250 |
|
| 209 |
+
| 0.0015 | 157.0 | 19468 | 3.3677 | 0.5240 |
|
| 210 |
+
| 0.0021 | 158.0 | 19592 | 3.3693 | 0.5236 |
|
| 211 |
+
| 0.0022 | 159.0 | 19716 | 3.3662 | 0.5245 |
|
| 212 |
+
| 0.0015 | 160.0 | 19840 | 3.3686 | 0.5228 |
|
| 213 |
+
| 0.0027 | 161.0 | 19964 | 3.3730 | 0.5235 |
|
| 214 |
+
| 0.0014 | 162.0 | 20088 | 3.3746 | 0.5239 |
|
| 215 |
+
| 0.0018 | 163.0 | 20212 | 3.3776 | 0.5253 |
|
| 216 |
+
| 0.0022 | 164.0 | 20336 | 3.3766 | 0.5264 |
|
| 217 |
+
| 0.0022 | 165.0 | 20460 | 3.3796 | 0.5258 |
|
| 218 |
+
| 0.0017 | 166.0 | 20584 | 3.3845 | 0.5250 |
|
| 219 |
+
| 0.0018 | 167.0 | 20708 | 3.3859 | 0.5252 |
|
| 220 |
+
| 0.0019 | 168.0 | 20832 | 3.3880 | 0.5250 |
|
| 221 |
+
| 0.0025 | 169.0 | 20956 | 3.3894 | 0.5258 |
|
| 222 |
+
| 0.0015 | 170.0 | 21080 | 3.3930 | 0.5264 |
|
| 223 |
+
| 0.0015 | 171.0 | 21204 | 3.3967 | 0.5271 |
|
| 224 |
+
| 0.0013 | 172.0 | 21328 | 3.3972 | 0.5267 |
|
| 225 |
+
| 0.0045 | 173.0 | 21452 | 3.3995 | 0.5272 |
|
| 226 |
+
| 0.0023 | 174.0 | 21576 | 3.4015 | 0.5271 |
|
| 227 |
+
| 0.0021 | 175.0 | 21700 | 3.4037 | 0.5287 |
|
| 228 |
+
| 0.0014 | 176.0 | 21824 | 3.4036 | 0.5271 |
|
| 229 |
+
| 0.0025 | 177.0 | 21948 | 3.4068 | 0.5273 |
|
| 230 |
+
| 0.0018 | 178.0 | 22072 | 3.4081 | 0.5283 |
|
| 231 |
+
| 0.0015 | 179.0 | 22196 | 3.4095 | 0.5286 |
|
| 232 |
+
| 0.0019 | 180.0 | 22320 | 3.4147 | 0.5281 |
|
| 233 |
+
| 0.0016 | 181.0 | 22444 | 3.4164 | 0.5283 |
|
| 234 |
+
| 0.0022 | 182.0 | 22568 | 3.4177 | 0.5287 |
|
| 235 |
+
| 0.0013 | 183.0 | 22692 | 3.4199 | 0.5280 |
|
| 236 |
+
| 0.0011 | 184.0 | 22816 | 3.4209 | 0.5303 |
|
| 237 |
+
| 0.0023 | 185.0 | 22940 | 3.4221 | 0.5295 |
|
| 238 |
+
| 0.002 | 186.0 | 23064 | 3.4245 | 0.5291 |
|
| 239 |
+
| 0.0011 | 187.0 | 23188 | 3.4253 | 0.5286 |
|
| 240 |
+
| 0.0019 | 188.0 | 23312 | 3.4259 | 0.5292 |
|
| 241 |
+
| 0.002 | 189.0 | 23436 | 3.4302 | 0.5305 |
|
| 242 |
+
| 0.0012 | 190.0 | 23560 | 3.4302 | 0.5304 |
|
| 243 |
+
| 0.0021 | 191.0 | 23684 | 3.4312 | 0.5297 |
|
| 244 |
+
| 0.0019 | 192.0 | 23808 | 3.4321 | 0.5306 |
|
| 245 |
+
| 0.0018 | 193.0 | 23932 | 3.4318 | 0.5306 |
|
| 246 |
+
| 0.0019 | 194.0 | 24056 | 3.4344 | 0.5284 |
|
| 247 |
+
| 0.0018 | 195.0 | 24180 | 3.4354 | 0.5304 |
|
| 248 |
+
| 0.0016 | 196.0 | 24304 | 3.4357 | 0.5309 |
|
| 249 |
+
| 0.0018 | 197.0 | 24428 | 3.4327 | 0.5320 |
|
| 250 |
+
| 0.002 | 198.0 | 24552 | 3.4365 | 0.5304 |
|
| 251 |
+
| 0.001 | 199.0 | 24676 | 3.4353 | 0.5304 |
|
| 252 |
+
| 0.0014 | 200.0 | 24800 | 3.4344 | 0.5304 |
|
| 253 |
+
|
| 254 |
+
|
| 255 |
+
### Framework versions
|
| 256 |
+
|
| 257 |
+
- Transformers 4.48.0.dev0
|
| 258 |
+
- Pytorch 2.4.1+cu121
|
| 259 |
+
- Datasets 3.1.0
|
| 260 |
+
- Tokenizers 0.21.0
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1587533656
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3a799a1f77fd008ef7875ea0022c070a3ae210ec84926eb9798023beb73f46d5
|
| 3 |
size 1587533656
|
runs/Jan13_19-20-45_ben-iir/events.out.tfevents.1736796046.ben-iir.2398306.0
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
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| 2 |
+
oid sha256:1d89a4b83a751c60bafc7b09ffb9dc40fcfec0a13e21325126f3956c965f931f
|
| 3 |
+
size 171300
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
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|
| 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": true,
|
| 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
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,945 @@
|
|
|
|
|
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