File size: 22,170 Bytes
98129f0 a299bc5 98129f0 a299bc5 98129f0 a299bc5 98129f0 a299bc5 98129f0 |
1 2 3 4 5 6 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 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 |
---
library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k7_task2_organization
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k7_task2_organization
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6328
- Qwk: 0.5380
- Mse: 0.6328
- Rmse: 0.7955
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|:-------------:|:-------:|:----:|:---------------:|:-------:|:------:|:------:|
| No log | 0.0541 | 2 | 4.4177 | -0.0232 | 4.4177 | 2.1018 |
| No log | 0.1081 | 4 | 2.4446 | 0.0331 | 2.4446 | 1.5635 |
| No log | 0.1622 | 6 | 1.4120 | -0.0085 | 1.4120 | 1.1883 |
| No log | 0.2162 | 8 | 1.1233 | -0.0980 | 1.1233 | 1.0599 |
| No log | 0.2703 | 10 | 0.9070 | 0.0931 | 0.9070 | 0.9524 |
| No log | 0.3243 | 12 | 0.9856 | 0.0533 | 0.9856 | 0.9928 |
| No log | 0.3784 | 14 | 1.0822 | -0.0247 | 1.0822 | 1.0403 |
| No log | 0.4324 | 16 | 0.9235 | 0.0998 | 0.9235 | 0.9610 |
| No log | 0.4865 | 18 | 1.0599 | 0.0087 | 1.0599 | 1.0295 |
| No log | 0.5405 | 20 | 0.9621 | 0.0975 | 0.9621 | 0.9808 |
| No log | 0.5946 | 22 | 0.8111 | 0.2207 | 0.8111 | 0.9006 |
| No log | 0.6486 | 24 | 0.7660 | 0.2855 | 0.7660 | 0.8752 |
| No log | 0.7027 | 26 | 0.7455 | 0.2177 | 0.7455 | 0.8634 |
| No log | 0.7568 | 28 | 0.7294 | 0.2631 | 0.7294 | 0.8541 |
| No log | 0.8108 | 30 | 0.8128 | 0.3566 | 0.8128 | 0.9015 |
| No log | 0.8649 | 32 | 1.7383 | 0.1465 | 1.7383 | 1.3185 |
| No log | 0.9189 | 34 | 1.6950 | 0.1681 | 1.6950 | 1.3019 |
| No log | 0.9730 | 36 | 1.1035 | 0.3140 | 1.1035 | 1.0505 |
| No log | 1.0270 | 38 | 1.1002 | 0.2983 | 1.1002 | 1.0489 |
| No log | 1.0811 | 40 | 0.9777 | 0.3012 | 0.9777 | 0.9888 |
| No log | 1.1351 | 42 | 1.3158 | 0.1862 | 1.3158 | 1.1471 |
| No log | 1.1892 | 44 | 1.0061 | 0.2512 | 1.0061 | 1.0030 |
| No log | 1.2432 | 46 | 0.7876 | 0.2947 | 0.7876 | 0.8875 |
| No log | 1.2973 | 48 | 0.7621 | 0.3405 | 0.7621 | 0.8730 |
| No log | 1.3514 | 50 | 0.9254 | 0.2028 | 0.9254 | 0.9620 |
| No log | 1.4054 | 52 | 1.1212 | 0.1669 | 1.1212 | 1.0589 |
| No log | 1.4595 | 54 | 1.0159 | 0.1851 | 1.0159 | 1.0079 |
| No log | 1.5135 | 56 | 0.7467 | 0.3272 | 0.7467 | 0.8641 |
| No log | 1.5676 | 58 | 0.6675 | 0.3416 | 0.6675 | 0.8170 |
| No log | 1.6216 | 60 | 0.6904 | 0.3569 | 0.6904 | 0.8309 |
| No log | 1.6757 | 62 | 0.8232 | 0.2537 | 0.8232 | 0.9073 |
| No log | 1.7297 | 64 | 0.7470 | 0.3903 | 0.7470 | 0.8643 |
| No log | 1.7838 | 66 | 0.7627 | 0.3282 | 0.7627 | 0.8734 |
| No log | 1.8378 | 68 | 0.6798 | 0.3884 | 0.6798 | 0.8245 |
| No log | 1.8919 | 70 | 0.6340 | 0.3896 | 0.6340 | 0.7962 |
| No log | 1.9459 | 72 | 0.6520 | 0.4091 | 0.6520 | 0.8075 |
| No log | 2.0 | 74 | 0.9590 | 0.3812 | 0.9590 | 0.9793 |
| No log | 2.0541 | 76 | 1.1842 | 0.2864 | 1.1842 | 1.0882 |
| No log | 2.1081 | 78 | 1.3699 | 0.2527 | 1.3699 | 1.1704 |
| No log | 2.1622 | 80 | 0.8975 | 0.4352 | 0.8975 | 0.9473 |
| No log | 2.2162 | 82 | 0.6243 | 0.4225 | 0.6243 | 0.7901 |
| No log | 2.2703 | 84 | 0.6024 | 0.4259 | 0.6024 | 0.7761 |
| No log | 2.3243 | 86 | 0.6015 | 0.4085 | 0.6015 | 0.7756 |
| No log | 2.3784 | 88 | 0.6168 | 0.4409 | 0.6168 | 0.7853 |
| No log | 2.4324 | 90 | 0.7056 | 0.3746 | 0.7056 | 0.8400 |
| No log | 2.4865 | 92 | 0.7316 | 0.4007 | 0.7316 | 0.8553 |
| No log | 2.5405 | 94 | 0.7080 | 0.3807 | 0.7080 | 0.8414 |
| No log | 2.5946 | 96 | 0.7614 | 0.3293 | 0.7614 | 0.8726 |
| No log | 2.6486 | 98 | 0.7176 | 0.4097 | 0.7176 | 0.8471 |
| No log | 2.7027 | 100 | 0.8667 | 0.3397 | 0.8667 | 0.9310 |
| No log | 2.7568 | 102 | 0.8551 | 0.3063 | 0.8551 | 0.9247 |
| No log | 2.8108 | 104 | 0.7022 | 0.3765 | 0.7022 | 0.8380 |
| No log | 2.8649 | 106 | 0.6770 | 0.4229 | 0.6770 | 0.8228 |
| No log | 2.9189 | 108 | 0.6640 | 0.4162 | 0.6640 | 0.8149 |
| No log | 2.9730 | 110 | 0.6572 | 0.4381 | 0.6572 | 0.8107 |
| No log | 3.0270 | 112 | 0.6675 | 0.3930 | 0.6675 | 0.8170 |
| No log | 3.0811 | 114 | 0.7357 | 0.3524 | 0.7357 | 0.8577 |
| No log | 3.1351 | 116 | 0.7417 | 0.3976 | 0.7417 | 0.8612 |
| No log | 3.1892 | 118 | 0.6520 | 0.5025 | 0.6520 | 0.8074 |
| No log | 3.2432 | 120 | 0.6659 | 0.4973 | 0.6659 | 0.8160 |
| No log | 3.2973 | 122 | 0.7123 | 0.4879 | 0.7123 | 0.8440 |
| No log | 3.3514 | 124 | 0.9482 | 0.4865 | 0.9482 | 0.9738 |
| No log | 3.4054 | 126 | 0.8448 | 0.4929 | 0.8448 | 0.9192 |
| No log | 3.4595 | 128 | 0.6813 | 0.4347 | 0.6813 | 0.8254 |
| No log | 3.5135 | 130 | 0.6768 | 0.5334 | 0.6768 | 0.8227 |
| No log | 3.5676 | 132 | 0.7154 | 0.4608 | 0.7154 | 0.8458 |
| No log | 3.6216 | 134 | 0.8643 | 0.5087 | 0.8643 | 0.9297 |
| No log | 3.6757 | 136 | 0.7755 | 0.4483 | 0.7755 | 0.8806 |
| No log | 3.7297 | 138 | 0.6973 | 0.5056 | 0.6973 | 0.8350 |
| No log | 3.7838 | 140 | 0.7288 | 0.5044 | 0.7288 | 0.8537 |
| No log | 3.8378 | 142 | 0.6825 | 0.5082 | 0.6825 | 0.8261 |
| No log | 3.8919 | 144 | 0.6561 | 0.4011 | 0.6561 | 0.8100 |
| No log | 3.9459 | 146 | 0.6568 | 0.4594 | 0.6568 | 0.8104 |
| No log | 4.0 | 148 | 0.6721 | 0.5012 | 0.6721 | 0.8198 |
| No log | 4.0541 | 150 | 0.6587 | 0.4132 | 0.6587 | 0.8116 |
| No log | 4.1081 | 152 | 0.8500 | 0.4332 | 0.8500 | 0.9220 |
| No log | 4.1622 | 154 | 0.7962 | 0.4213 | 0.7962 | 0.8923 |
| No log | 4.2162 | 156 | 0.6778 | 0.4267 | 0.6778 | 0.8233 |
| No log | 4.2703 | 158 | 0.6417 | 0.4792 | 0.6417 | 0.8011 |
| No log | 4.3243 | 160 | 0.7046 | 0.4697 | 0.7046 | 0.8394 |
| No log | 4.3784 | 162 | 0.8233 | 0.4469 | 0.8233 | 0.9074 |
| No log | 4.4324 | 164 | 0.9290 | 0.3560 | 0.9290 | 0.9638 |
| No log | 4.4865 | 166 | 0.7974 | 0.4083 | 0.7974 | 0.8930 |
| No log | 4.5405 | 168 | 0.6712 | 0.4889 | 0.6712 | 0.8193 |
| No log | 4.5946 | 170 | 0.5872 | 0.5019 | 0.5872 | 0.7663 |
| No log | 4.6486 | 172 | 0.5888 | 0.5019 | 0.5888 | 0.7673 |
| No log | 4.7027 | 174 | 0.6775 | 0.4678 | 0.6775 | 0.8231 |
| No log | 4.7568 | 176 | 0.7689 | 0.4546 | 0.7689 | 0.8769 |
| No log | 4.8108 | 178 | 0.6510 | 0.4416 | 0.6510 | 0.8068 |
| No log | 4.8649 | 180 | 0.6048 | 0.4708 | 0.6048 | 0.7777 |
| No log | 4.9189 | 182 | 0.5994 | 0.4642 | 0.5994 | 0.7742 |
| No log | 4.9730 | 184 | 0.6124 | 0.4736 | 0.6124 | 0.7825 |
| No log | 5.0270 | 186 | 0.6093 | 0.4773 | 0.6093 | 0.7805 |
| No log | 5.0811 | 188 | 0.6041 | 0.5821 | 0.6041 | 0.7772 |
| No log | 5.1351 | 190 | 0.6289 | 0.5817 | 0.6289 | 0.7931 |
| No log | 5.1892 | 192 | 0.6025 | 0.5478 | 0.6025 | 0.7762 |
| No log | 5.2432 | 194 | 0.6738 | 0.5313 | 0.6738 | 0.8208 |
| No log | 5.2973 | 196 | 0.7179 | 0.5327 | 0.7179 | 0.8473 |
| No log | 5.3514 | 198 | 0.6712 | 0.4907 | 0.6712 | 0.8193 |
| No log | 5.4054 | 200 | 0.6936 | 0.4718 | 0.6936 | 0.8328 |
| No log | 5.4595 | 202 | 0.6768 | 0.5258 | 0.6768 | 0.8227 |
| No log | 5.5135 | 204 | 0.6667 | 0.5264 | 0.6667 | 0.8165 |
| No log | 5.5676 | 206 | 0.6836 | 0.4865 | 0.6836 | 0.8268 |
| No log | 5.6216 | 208 | 0.6708 | 0.4949 | 0.6708 | 0.8190 |
| No log | 5.6757 | 210 | 0.6289 | 0.4833 | 0.6289 | 0.7930 |
| No log | 5.7297 | 212 | 0.5888 | 0.4108 | 0.5888 | 0.7673 |
| No log | 5.7838 | 214 | 0.6068 | 0.4577 | 0.6068 | 0.7790 |
| No log | 5.8378 | 216 | 0.6445 | 0.4579 | 0.6445 | 0.8028 |
| No log | 5.8919 | 218 | 0.6208 | 0.4773 | 0.6208 | 0.7879 |
| No log | 5.9459 | 220 | 0.6374 | 0.4724 | 0.6374 | 0.7984 |
| No log | 6.0 | 222 | 0.7722 | 0.4716 | 0.7722 | 0.8788 |
| No log | 6.0541 | 224 | 0.8547 | 0.4495 | 0.8547 | 0.9245 |
| No log | 6.1081 | 226 | 0.6979 | 0.4579 | 0.6979 | 0.8354 |
| No log | 6.1622 | 228 | 0.6321 | 0.4489 | 0.6321 | 0.7950 |
| No log | 6.2162 | 230 | 0.6284 | 0.4422 | 0.6284 | 0.7927 |
| No log | 6.2703 | 232 | 0.7027 | 0.4419 | 0.7027 | 0.8383 |
| No log | 6.3243 | 234 | 0.6647 | 0.4648 | 0.6647 | 0.8153 |
| No log | 6.3784 | 236 | 0.6027 | 0.4064 | 0.6027 | 0.7764 |
| No log | 6.4324 | 238 | 0.5976 | 0.4313 | 0.5976 | 0.7731 |
| No log | 6.4865 | 240 | 0.6191 | 0.4840 | 0.6191 | 0.7868 |
| No log | 6.5405 | 242 | 0.5940 | 0.4570 | 0.5940 | 0.7707 |
| No log | 6.5946 | 244 | 0.6113 | 0.4823 | 0.6113 | 0.7819 |
| No log | 6.6486 | 246 | 0.6531 | 0.4832 | 0.6531 | 0.8081 |
| No log | 6.7027 | 248 | 0.6567 | 0.5038 | 0.6567 | 0.8104 |
| No log | 6.7568 | 250 | 0.6102 | 0.4416 | 0.6102 | 0.7811 |
| No log | 6.8108 | 252 | 0.6454 | 0.5378 | 0.6454 | 0.8034 |
| No log | 6.8649 | 254 | 0.6559 | 0.5751 | 0.6559 | 0.8099 |
| No log | 6.9189 | 256 | 0.6110 | 0.4888 | 0.6110 | 0.7817 |
| No log | 6.9730 | 258 | 0.6110 | 0.5311 | 0.6110 | 0.7817 |
| No log | 7.0270 | 260 | 0.6072 | 0.5454 | 0.6072 | 0.7792 |
| No log | 7.0811 | 262 | 0.5951 | 0.5065 | 0.5951 | 0.7715 |
| No log | 7.1351 | 264 | 0.5926 | 0.4975 | 0.5926 | 0.7698 |
| No log | 7.1892 | 266 | 0.5959 | 0.5860 | 0.5959 | 0.7719 |
| No log | 7.2432 | 268 | 0.6844 | 0.5683 | 0.6844 | 0.8273 |
| No log | 7.2973 | 270 | 0.6879 | 0.5797 | 0.6879 | 0.8294 |
| No log | 7.3514 | 272 | 0.6444 | 0.5364 | 0.6444 | 0.8028 |
| No log | 7.4054 | 274 | 0.6360 | 0.5360 | 0.6360 | 0.7975 |
| No log | 7.4595 | 276 | 0.7052 | 0.5249 | 0.7052 | 0.8398 |
| No log | 7.5135 | 278 | 0.6852 | 0.5019 | 0.6852 | 0.8277 |
| No log | 7.5676 | 280 | 0.5779 | 0.5238 | 0.5779 | 0.7602 |
| No log | 7.6216 | 282 | 0.5701 | 0.5257 | 0.5701 | 0.7551 |
| No log | 7.6757 | 284 | 0.5823 | 0.5074 | 0.5823 | 0.7631 |
| No log | 7.7297 | 286 | 0.5542 | 0.5632 | 0.5542 | 0.7444 |
| No log | 7.7838 | 288 | 0.6014 | 0.4880 | 0.6014 | 0.7755 |
| No log | 7.8378 | 290 | 0.5924 | 0.5168 | 0.5924 | 0.7697 |
| No log | 7.8919 | 292 | 0.5761 | 0.5241 | 0.5761 | 0.7590 |
| No log | 7.9459 | 294 | 0.6026 | 0.5462 | 0.6026 | 0.7763 |
| No log | 8.0 | 296 | 0.6079 | 0.5301 | 0.6079 | 0.7797 |
| No log | 8.0541 | 298 | 0.6036 | 0.5684 | 0.6036 | 0.7769 |
| No log | 8.1081 | 300 | 0.5994 | 0.5185 | 0.5994 | 0.7742 |
| No log | 8.1622 | 302 | 0.7012 | 0.4614 | 0.7012 | 0.8374 |
| No log | 8.2162 | 304 | 0.6667 | 0.4708 | 0.6667 | 0.8165 |
| No log | 8.2703 | 306 | 0.5857 | 0.4959 | 0.5857 | 0.7653 |
| No log | 8.3243 | 308 | 0.5622 | 0.5414 | 0.5622 | 0.7498 |
| No log | 8.3784 | 310 | 0.6772 | 0.4375 | 0.6772 | 0.8229 |
| No log | 8.4324 | 312 | 0.7920 | 0.4722 | 0.7920 | 0.8899 |
| No log | 8.4865 | 314 | 0.7538 | 0.4899 | 0.7538 | 0.8682 |
| No log | 8.5405 | 316 | 0.6463 | 0.4549 | 0.6463 | 0.8040 |
| No log | 8.5946 | 318 | 0.6431 | 0.4882 | 0.6431 | 0.8020 |
| No log | 8.6486 | 320 | 0.7479 | 0.4346 | 0.7479 | 0.8648 |
| No log | 8.7027 | 322 | 0.8025 | 0.4328 | 0.8025 | 0.8958 |
| No log | 8.7568 | 324 | 0.6373 | 0.4891 | 0.6373 | 0.7983 |
| No log | 8.8108 | 326 | 0.5844 | 0.4287 | 0.5844 | 0.7645 |
| No log | 8.8649 | 328 | 0.5809 | 0.4851 | 0.5809 | 0.7621 |
| No log | 8.9189 | 330 | 0.6091 | 0.5101 | 0.6091 | 0.7805 |
| No log | 8.9730 | 332 | 0.6474 | 0.4956 | 0.6474 | 0.8046 |
| No log | 9.0270 | 334 | 0.6485 | 0.4990 | 0.6485 | 0.8053 |
| No log | 9.0811 | 336 | 0.6115 | 0.5344 | 0.6115 | 0.7820 |
| No log | 9.1351 | 338 | 0.6098 | 0.5444 | 0.6098 | 0.7809 |
| No log | 9.1892 | 340 | 0.6005 | 0.5189 | 0.6005 | 0.7749 |
| No log | 9.2432 | 342 | 0.5684 | 0.5507 | 0.5684 | 0.7539 |
| No log | 9.2973 | 344 | 0.5632 | 0.5497 | 0.5632 | 0.7504 |
| No log | 9.3514 | 346 | 0.5715 | 0.5518 | 0.5715 | 0.7560 |
| No log | 9.4054 | 348 | 0.6002 | 0.5606 | 0.6002 | 0.7747 |
| No log | 9.4595 | 350 | 0.5953 | 0.5606 | 0.5953 | 0.7715 |
| No log | 9.5135 | 352 | 0.5821 | 0.5166 | 0.5821 | 0.7630 |
| No log | 9.5676 | 354 | 0.5869 | 0.4926 | 0.5869 | 0.7661 |
| No log | 9.6216 | 356 | 0.5712 | 0.5371 | 0.5712 | 0.7558 |
| No log | 9.6757 | 358 | 0.5736 | 0.5339 | 0.5736 | 0.7574 |
| No log | 9.7297 | 360 | 0.6025 | 0.5079 | 0.6025 | 0.7762 |
| No log | 9.7838 | 362 | 0.6342 | 0.5095 | 0.6342 | 0.7964 |
| No log | 9.8378 | 364 | 0.6399 | 0.5244 | 0.6399 | 0.7999 |
| No log | 9.8919 | 366 | 0.6686 | 0.52 | 0.6686 | 0.8177 |
| No log | 9.9459 | 368 | 0.6342 | 0.5107 | 0.6342 | 0.7964 |
| No log | 10.0 | 370 | 0.6417 | 0.5277 | 0.6417 | 0.8011 |
| No log | 10.0541 | 372 | 0.6358 | 0.5348 | 0.6358 | 0.7974 |
| No log | 10.1081 | 374 | 0.6602 | 0.5124 | 0.6602 | 0.8126 |
| No log | 10.1622 | 376 | 0.6560 | 0.5090 | 0.6560 | 0.8099 |
| No log | 10.2162 | 378 | 0.5962 | 0.5655 | 0.5962 | 0.7721 |
| No log | 10.2703 | 380 | 0.6176 | 0.5352 | 0.6176 | 0.7859 |
| No log | 10.3243 | 382 | 0.6060 | 0.4943 | 0.6060 | 0.7784 |
| No log | 10.3784 | 384 | 0.5946 | 0.5279 | 0.5946 | 0.7711 |
| No log | 10.4324 | 386 | 0.5943 | 0.5314 | 0.5943 | 0.7709 |
| No log | 10.4865 | 388 | 0.5885 | 0.5210 | 0.5885 | 0.7671 |
| No log | 10.5405 | 390 | 0.5979 | 0.5367 | 0.5979 | 0.7732 |
| No log | 10.5946 | 392 | 0.5968 | 0.5549 | 0.5968 | 0.7725 |
| No log | 10.6486 | 394 | 0.5978 | 0.5188 | 0.5978 | 0.7732 |
| No log | 10.7027 | 396 | 0.7272 | 0.4636 | 0.7272 | 0.8528 |
| No log | 10.7568 | 398 | 0.8091 | 0.4061 | 0.8091 | 0.8995 |
| No log | 10.8108 | 400 | 0.6564 | 0.5082 | 0.6564 | 0.8102 |
| No log | 10.8649 | 402 | 0.5671 | 0.5320 | 0.5671 | 0.7531 |
| No log | 10.9189 | 404 | 0.5551 | 0.5384 | 0.5551 | 0.7450 |
| No log | 10.9730 | 406 | 0.5612 | 0.5133 | 0.5612 | 0.7492 |
| No log | 11.0270 | 408 | 0.6126 | 0.4854 | 0.6126 | 0.7827 |
| No log | 11.0811 | 410 | 0.5895 | 0.5170 | 0.5895 | 0.7678 |
| No log | 11.1351 | 412 | 0.5591 | 0.4963 | 0.5591 | 0.7477 |
| No log | 11.1892 | 414 | 0.5565 | 0.5348 | 0.5565 | 0.7460 |
| No log | 11.2432 | 416 | 0.5508 | 0.5545 | 0.5508 | 0.7422 |
| No log | 11.2973 | 418 | 0.5464 | 0.4935 | 0.5464 | 0.7392 |
| No log | 11.3514 | 420 | 0.5421 | 0.5106 | 0.5421 | 0.7363 |
| No log | 11.4054 | 422 | 0.5603 | 0.5495 | 0.5603 | 0.7485 |
| No log | 11.4595 | 424 | 0.6168 | 0.5070 | 0.6168 | 0.7853 |
| No log | 11.5135 | 426 | 0.6191 | 0.5070 | 0.6191 | 0.7868 |
| No log | 11.5676 | 428 | 0.5635 | 0.5644 | 0.5635 | 0.7507 |
| No log | 11.6216 | 430 | 0.5850 | 0.5257 | 0.5850 | 0.7649 |
| No log | 11.6757 | 432 | 0.6209 | 0.5310 | 0.6209 | 0.7880 |
| No log | 11.7297 | 434 | 0.5834 | 0.5522 | 0.5834 | 0.7638 |
| No log | 11.7838 | 436 | 0.5786 | 0.5011 | 0.5786 | 0.7607 |
| No log | 11.8378 | 438 | 0.5735 | 0.4759 | 0.5735 | 0.7573 |
| No log | 11.8919 | 440 | 0.5780 | 0.4559 | 0.5780 | 0.7603 |
| No log | 11.9459 | 442 | 0.5837 | 0.4785 | 0.5837 | 0.7640 |
| No log | 12.0 | 444 | 0.5865 | 0.4646 | 0.5865 | 0.7659 |
| No log | 12.0541 | 446 | 0.5800 | 0.4622 | 0.5800 | 0.7616 |
| No log | 12.1081 | 448 | 0.5693 | 0.4217 | 0.5693 | 0.7545 |
| No log | 12.1622 | 450 | 0.5773 | 0.4455 | 0.5773 | 0.7598 |
| No log | 12.2162 | 452 | 0.5810 | 0.4739 | 0.5810 | 0.7622 |
| No log | 12.2703 | 454 | 0.5633 | 0.4375 | 0.5633 | 0.7505 |
| No log | 12.3243 | 456 | 0.5595 | 0.4620 | 0.5595 | 0.7480 |
| No log | 12.3784 | 458 | 0.5746 | 0.4899 | 0.5746 | 0.7580 |
| No log | 12.4324 | 460 | 0.5599 | 0.4749 | 0.5599 | 0.7483 |
| No log | 12.4865 | 462 | 0.5670 | 0.5158 | 0.5670 | 0.7530 |
| No log | 12.5405 | 464 | 0.6073 | 0.4813 | 0.6073 | 0.7793 |
| No log | 12.5946 | 466 | 0.5839 | 0.53 | 0.5839 | 0.7641 |
| No log | 12.6486 | 468 | 0.5507 | 0.5228 | 0.5507 | 0.7421 |
| No log | 12.7027 | 470 | 0.5473 | 0.5167 | 0.5473 | 0.7398 |
| No log | 12.7568 | 472 | 0.5654 | 0.4917 | 0.5654 | 0.7519 |
| No log | 12.8108 | 474 | 0.6727 | 0.4377 | 0.6727 | 0.8202 |
| No log | 12.8649 | 476 | 0.7439 | 0.4201 | 0.7439 | 0.8625 |
| No log | 12.9189 | 478 | 0.8146 | 0.4461 | 0.8146 | 0.9025 |
| No log | 12.9730 | 480 | 0.7090 | 0.4734 | 0.7090 | 0.8420 |
| No log | 13.0270 | 482 | 0.5676 | 0.4958 | 0.5676 | 0.7534 |
| No log | 13.0811 | 484 | 0.5565 | 0.5539 | 0.5565 | 0.7460 |
| No log | 13.1351 | 486 | 0.5554 | 0.5602 | 0.5554 | 0.7452 |
| No log | 13.1892 | 488 | 0.5381 | 0.5273 | 0.5381 | 0.7335 |
| No log | 13.2432 | 490 | 0.5425 | 0.4355 | 0.5425 | 0.7365 |
| No log | 13.2973 | 492 | 0.5617 | 0.4691 | 0.5617 | 0.7495 |
| No log | 13.3514 | 494 | 0.5621 | 0.4818 | 0.5621 | 0.7497 |
| No log | 13.4054 | 496 | 0.5441 | 0.4863 | 0.5441 | 0.7377 |
| No log | 13.4595 | 498 | 0.5421 | 0.5415 | 0.5421 | 0.7362 |
| 0.3405 | 13.5135 | 500 | 0.5457 | 0.5421 | 0.5457 | 0.7387 |
| 0.3405 | 13.5676 | 502 | 0.5920 | 0.5264 | 0.5920 | 0.7694 |
| 0.3405 | 13.6216 | 504 | 0.7262 | 0.4760 | 0.7262 | 0.8521 |
| 0.3405 | 13.6757 | 506 | 0.7651 | 0.4501 | 0.7651 | 0.8747 |
| 0.3405 | 13.7297 | 508 | 0.6930 | 0.4661 | 0.6930 | 0.8324 |
| 0.3405 | 13.7838 | 510 | 0.6328 | 0.5380 | 0.6328 | 0.7955 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
|