metadata
library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask2_grammar
results: []
Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask2_grammar
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6030
- Qwk: 0.4655
- Mse: 0.6030
- Rmse: 0.7765
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 | 0.0213 | 2 | 3.8353 | 0.0201 | 3.8353 | 1.9584 |
| No log | 0.0426 | 4 | 2.9300 | 0.0458 | 2.9300 | 1.7117 |
| No log | 0.0638 | 6 | 1.2632 | 0.0935 | 1.2632 | 1.1239 |
| No log | 0.0851 | 8 | 0.7292 | 0.2269 | 0.7292 | 0.8539 |
| No log | 0.1064 | 10 | 0.8792 | 0.0645 | 0.8792 | 0.9376 |
| No log | 0.1277 | 12 | 0.7469 | 0.1712 | 0.7469 | 0.8643 |
| No log | 0.1489 | 14 | 0.6919 | 0.2187 | 0.6919 | 0.8318 |
| No log | 0.1702 | 16 | 0.6642 | 0.3058 | 0.6642 | 0.8150 |
| No log | 0.1915 | 18 | 0.6236 | 0.3770 | 0.6236 | 0.7897 |
| No log | 0.2128 | 20 | 0.5946 | 0.4361 | 0.5946 | 0.7711 |
| No log | 0.2340 | 22 | 0.6425 | 0.3128 | 0.6425 | 0.8015 |
| No log | 0.2553 | 24 | 0.6332 | 0.2684 | 0.6332 | 0.7957 |
| No log | 0.2766 | 26 | 0.6569 | 0.3182 | 0.6569 | 0.8105 |
| No log | 0.2979 | 28 | 0.5891 | 0.4035 | 0.5891 | 0.7676 |
| No log | 0.3191 | 30 | 0.5673 | 0.4249 | 0.5673 | 0.7532 |
| No log | 0.3404 | 32 | 0.5691 | 0.4040 | 0.5691 | 0.7544 |
| No log | 0.3617 | 34 | 0.5366 | 0.4332 | 0.5366 | 0.7325 |
| No log | 0.3830 | 36 | 0.5657 | 0.4203 | 0.5657 | 0.7521 |
| No log | 0.4043 | 38 | 0.6357 | 0.3282 | 0.6357 | 0.7973 |
| No log | 0.4255 | 40 | 0.6498 | 0.3394 | 0.6498 | 0.8061 |
| No log | 0.4468 | 42 | 0.8192 | 0.0680 | 0.8192 | 0.9051 |
| No log | 0.4681 | 44 | 0.9016 | -0.0504 | 0.9016 | 0.9495 |
| No log | 0.4894 | 46 | 0.8537 | 0.0138 | 0.8537 | 0.9240 |
| No log | 0.5106 | 48 | 0.6766 | 0.3085 | 0.6766 | 0.8225 |
| No log | 0.5319 | 50 | 0.5221 | 0.4931 | 0.5221 | 0.7225 |
| No log | 0.5532 | 52 | 0.5309 | 0.5142 | 0.5309 | 0.7286 |
| No log | 0.5745 | 54 | 0.5185 | 0.5175 | 0.5185 | 0.7201 |
| No log | 0.5957 | 56 | 0.5916 | 0.4713 | 0.5916 | 0.7692 |
| No log | 0.6170 | 58 | 0.6543 | 0.3639 | 0.6543 | 0.8089 |
| No log | 0.6383 | 60 | 0.6571 | 0.3485 | 0.6571 | 0.8106 |
| No log | 0.6596 | 62 | 0.5339 | 0.3765 | 0.5339 | 0.7307 |
| No log | 0.6809 | 64 | 0.4673 | 0.5524 | 0.4673 | 0.6836 |
| No log | 0.7021 | 66 | 0.4759 | 0.5650 | 0.4759 | 0.6899 |
| No log | 0.7234 | 68 | 0.5051 | 0.5182 | 0.5051 | 0.7107 |
| No log | 0.7447 | 70 | 0.6184 | 0.4755 | 0.6184 | 0.7864 |
| No log | 0.7660 | 72 | 0.6518 | 0.4735 | 0.6518 | 0.8073 |
| No log | 0.7872 | 74 | 0.5901 | 0.5537 | 0.5901 | 0.7682 |
| No log | 0.8085 | 76 | 0.5770 | 0.5099 | 0.5770 | 0.7596 |
| No log | 0.8298 | 78 | 0.6664 | 0.4271 | 0.6664 | 0.8164 |
| No log | 0.8511 | 80 | 0.7024 | 0.4139 | 0.7024 | 0.8381 |
| No log | 0.8723 | 82 | 0.6255 | 0.4808 | 0.6255 | 0.7909 |
| No log | 0.8936 | 84 | 0.5437 | 0.5660 | 0.5437 | 0.7374 |
| No log | 0.9149 | 86 | 0.4890 | 0.6093 | 0.4890 | 0.6993 |
| No log | 0.9362 | 88 | 0.4739 | 0.6140 | 0.4739 | 0.6884 |
| No log | 0.9574 | 90 | 0.4791 | 0.6009 | 0.4791 | 0.6922 |
| No log | 0.9787 | 92 | 0.4738 | 0.5986 | 0.4738 | 0.6883 |
| No log | 1.0 | 94 | 0.4748 | 0.5682 | 0.4748 | 0.6891 |
| No log | 1.0213 | 96 | 0.5206 | 0.4763 | 0.5206 | 0.7215 |
| No log | 1.0426 | 98 | 0.5713 | 0.4223 | 0.5713 | 0.7558 |
| No log | 1.0638 | 100 | 0.5945 | 0.3720 | 0.5945 | 0.7710 |
| No log | 1.0851 | 102 | 0.5834 | 0.4060 | 0.5834 | 0.7638 |
| No log | 1.1064 | 104 | 0.5643 | 0.4751 | 0.5643 | 0.7512 |
| No log | 1.1277 | 106 | 0.6183 | 0.4209 | 0.6183 | 0.7863 |
| No log | 1.1489 | 108 | 0.6264 | 0.4433 | 0.6264 | 0.7915 |
| No log | 1.1702 | 110 | 0.5943 | 0.4850 | 0.5943 | 0.7709 |
| No log | 1.1915 | 112 | 0.5699 | 0.4781 | 0.5699 | 0.7549 |
| No log | 1.2128 | 114 | 0.5515 | 0.4878 | 0.5515 | 0.7426 |
| No log | 1.2340 | 116 | 0.5552 | 0.4979 | 0.5552 | 0.7451 |
| No log | 1.2553 | 118 | 0.5574 | 0.4925 | 0.5574 | 0.7466 |
| No log | 1.2766 | 120 | 0.5590 | 0.4562 | 0.5590 | 0.7477 |
| No log | 1.2979 | 122 | 0.5637 | 0.4266 | 0.5637 | 0.7508 |
| No log | 1.3191 | 124 | 0.5795 | 0.4197 | 0.5795 | 0.7612 |
| No log | 1.3404 | 126 | 0.5856 | 0.4182 | 0.5856 | 0.7652 |
| No log | 1.3617 | 128 | 0.5481 | 0.4212 | 0.5481 | 0.7404 |
| No log | 1.3830 | 130 | 0.5419 | 0.4693 | 0.5419 | 0.7361 |
| No log | 1.4043 | 132 | 0.5646 | 0.4130 | 0.5646 | 0.7514 |
| No log | 1.4255 | 134 | 0.6854 | 0.3461 | 0.6854 | 0.8279 |
| No log | 1.4468 | 136 | 0.7330 | 0.2659 | 0.7330 | 0.8562 |
| No log | 1.4681 | 138 | 0.7282 | 0.2204 | 0.7282 | 0.8534 |
| No log | 1.4894 | 140 | 0.5949 | 0.3650 | 0.5949 | 0.7713 |
| No log | 1.5106 | 142 | 0.5636 | 0.4481 | 0.5636 | 0.7507 |
| No log | 1.5319 | 144 | 0.5544 | 0.4549 | 0.5544 | 0.7446 |
| No log | 1.5532 | 146 | 0.5737 | 0.3918 | 0.5737 | 0.7575 |
| No log | 1.5745 | 148 | 0.8020 | 0.1292 | 0.8020 | 0.8956 |
| No log | 1.5957 | 150 | 0.9233 | 0.0850 | 0.9233 | 0.9609 |
| No log | 1.6170 | 152 | 0.7684 | 0.3153 | 0.7684 | 0.8766 |
| No log | 1.6383 | 154 | 0.5874 | 0.5328 | 0.5874 | 0.7664 |
| No log | 1.6596 | 156 | 0.5509 | 0.5484 | 0.5509 | 0.7422 |
| No log | 1.6809 | 158 | 0.7366 | 0.3269 | 0.7366 | 0.8582 |
| No log | 1.7021 | 160 | 0.7420 | 0.2354 | 0.7420 | 0.8614 |
| No log | 1.7234 | 162 | 0.5078 | 0.4948 | 0.5078 | 0.7126 |
| No log | 1.7447 | 164 | 0.4810 | 0.5495 | 0.4810 | 0.6935 |
| No log | 1.7660 | 166 | 0.4906 | 0.5477 | 0.4906 | 0.7004 |
| No log | 1.7872 | 168 | 0.4594 | 0.5177 | 0.4594 | 0.6778 |
| No log | 1.8085 | 170 | 0.5333 | 0.4764 | 0.5333 | 0.7303 |
| No log | 1.8298 | 172 | 0.6349 | 0.4132 | 0.6349 | 0.7968 |
| No log | 1.8511 | 174 | 0.7694 | 0.4500 | 0.7694 | 0.8772 |
| No log | 1.8723 | 176 | 0.8621 | 0.4338 | 0.8621 | 0.9285 |
| No log | 1.8936 | 178 | 0.8167 | 0.4688 | 0.8167 | 0.9037 |
| No log | 1.9149 | 180 | 0.7867 | 0.4777 | 0.7867 | 0.8869 |
| No log | 1.9362 | 182 | 0.7318 | 0.5072 | 0.7318 | 0.8555 |
| No log | 1.9574 | 184 | 0.8027 | 0.4968 | 0.8027 | 0.8959 |
| No log | 1.9787 | 186 | 0.6452 | 0.5350 | 0.6452 | 0.8033 |
| No log | 2.0 | 188 | 0.5025 | 0.5527 | 0.5025 | 0.7088 |
| No log | 2.0213 | 190 | 0.5075 | 0.5484 | 0.5075 | 0.7124 |
| No log | 2.0426 | 192 | 0.5151 | 0.5493 | 0.5151 | 0.7177 |
| No log | 2.0638 | 194 | 0.5640 | 0.5602 | 0.5640 | 0.7510 |
| No log | 2.0851 | 196 | 0.4783 | 0.6011 | 0.4783 | 0.6916 |
| No log | 2.1064 | 198 | 0.4742 | 0.5927 | 0.4742 | 0.6886 |
| No log | 2.1277 | 200 | 0.4825 | 0.5690 | 0.4825 | 0.6946 |
| No log | 2.1489 | 202 | 0.5120 | 0.4867 | 0.5120 | 0.7156 |
| No log | 2.1702 | 204 | 0.5162 | 0.4621 | 0.5162 | 0.7185 |
| No log | 2.1915 | 206 | 0.4929 | 0.4656 | 0.4929 | 0.7021 |
| No log | 2.2128 | 208 | 0.5061 | 0.4925 | 0.5061 | 0.7114 |
| No log | 2.2340 | 210 | 0.6116 | 0.5030 | 0.6116 | 0.7821 |
| No log | 2.2553 | 212 | 0.6582 | 0.4890 | 0.6582 | 0.8113 |
| No log | 2.2766 | 214 | 0.6269 | 0.5382 | 0.6269 | 0.7918 |
| No log | 2.2979 | 216 | 0.5930 | 0.5496 | 0.5930 | 0.7701 |
| No log | 2.3191 | 218 | 0.5960 | 0.5525 | 0.5960 | 0.7720 |
| No log | 2.3404 | 220 | 0.6056 | 0.5805 | 0.6056 | 0.7782 |
| No log | 2.3617 | 222 | 0.6127 | 0.5794 | 0.6127 | 0.7827 |
| No log | 2.3830 | 224 | 0.6947 | 0.4956 | 0.6947 | 0.8335 |
| No log | 2.4043 | 226 | 0.7535 | 0.4206 | 0.7535 | 0.8680 |
| No log | 2.4255 | 228 | 0.7554 | 0.3611 | 0.7554 | 0.8691 |
| No log | 2.4468 | 230 | 0.7373 | 0.3611 | 0.7373 | 0.8586 |
| No log | 2.4681 | 232 | 0.6295 | 0.4773 | 0.6295 | 0.7934 |
| No log | 2.4894 | 234 | 0.4964 | 0.5674 | 0.4964 | 0.7045 |
| No log | 2.5106 | 236 | 0.5946 | 0.5271 | 0.5946 | 0.7711 |
| No log | 2.5319 | 238 | 0.6252 | 0.5035 | 0.6252 | 0.7907 |
| No log | 2.5532 | 240 | 0.5040 | 0.5970 | 0.5040 | 0.7100 |
| No log | 2.5745 | 242 | 0.4640 | 0.5599 | 0.4640 | 0.6812 |
| No log | 2.5957 | 244 | 0.5576 | 0.4241 | 0.5576 | 0.7467 |
| No log | 2.6170 | 246 | 0.6953 | 0.3694 | 0.6953 | 0.8338 |
| No log | 2.6383 | 248 | 0.7648 | 0.3798 | 0.7648 | 0.8745 |
| No log | 2.6596 | 250 | 0.7191 | 0.4558 | 0.7191 | 0.8480 |
| No log | 2.6809 | 252 | 0.5806 | 0.5656 | 0.5806 | 0.7619 |
| No log | 2.7021 | 254 | 0.4949 | 0.5919 | 0.4949 | 0.7035 |
| No log | 2.7234 | 256 | 0.5325 | 0.6003 | 0.5325 | 0.7297 |
| No log | 2.7447 | 258 | 0.5309 | 0.5945 | 0.5309 | 0.7286 |
| No log | 2.7660 | 260 | 0.4762 | 0.6384 | 0.4762 | 0.6901 |
| No log | 2.7872 | 262 | 0.4551 | 0.6425 | 0.4551 | 0.6746 |
| No log | 2.8085 | 264 | 0.5098 | 0.5572 | 0.5098 | 0.7140 |
| No log | 2.8298 | 266 | 0.6526 | 0.4546 | 0.6526 | 0.8078 |
| No log | 2.8511 | 268 | 0.6799 | 0.4008 | 0.6799 | 0.8246 |
| No log | 2.8723 | 270 | 0.5843 | 0.4535 | 0.5843 | 0.7644 |
| No log | 2.8936 | 272 | 0.4450 | 0.5958 | 0.4450 | 0.6671 |
| No log | 2.9149 | 274 | 0.4175 | 0.6161 | 0.4175 | 0.6461 |
| No log | 2.9362 | 276 | 0.4276 | 0.6040 | 0.4276 | 0.6539 |
| No log | 2.9574 | 278 | 0.4181 | 0.5851 | 0.4181 | 0.6466 |
| No log | 2.9787 | 280 | 0.4592 | 0.4783 | 0.4592 | 0.6776 |
| No log | 3.0 | 282 | 0.6471 | 0.2913 | 0.6471 | 0.8044 |
| No log | 3.0213 | 284 | 0.7901 | 0.2220 | 0.7901 | 0.8889 |
| No log | 3.0426 | 286 | 0.7880 | 0.1960 | 0.7880 | 0.8877 |
| No log | 3.0638 | 288 | 0.7042 | 0.2531 | 0.7042 | 0.8391 |
| No log | 3.0851 | 290 | 0.5986 | 0.3632 | 0.5986 | 0.7737 |
| No log | 3.1064 | 292 | 0.4788 | 0.5344 | 0.4788 | 0.6920 |
| No log | 3.1277 | 294 | 0.4686 | 0.6116 | 0.4686 | 0.6846 |
| No log | 3.1489 | 296 | 0.5117 | 0.6111 | 0.5117 | 0.7153 |
| No log | 3.1702 | 298 | 0.5134 | 0.6114 | 0.5134 | 0.7165 |
| No log | 3.1915 | 300 | 0.6089 | 0.5676 | 0.6089 | 0.7803 |
| No log | 3.2128 | 302 | 0.7372 | 0.4511 | 0.7372 | 0.8586 |
| No log | 3.2340 | 304 | 0.8497 | 0.3395 | 0.8497 | 0.9218 |
| No log | 3.2553 | 306 | 0.7684 | 0.3668 | 0.7684 | 0.8766 |
| No log | 3.2766 | 308 | 0.6282 | 0.3868 | 0.6282 | 0.7926 |
| No log | 3.2979 | 310 | 0.5407 | 0.3947 | 0.5407 | 0.7353 |
| No log | 3.3191 | 312 | 0.5210 | 0.4589 | 0.5210 | 0.7218 |
| No log | 3.3404 | 314 | 0.4896 | 0.5439 | 0.4896 | 0.6997 |
| No log | 3.3617 | 316 | 0.4538 | 0.6260 | 0.4538 | 0.6736 |
| No log | 3.3830 | 318 | 0.4815 | 0.6149 | 0.4815 | 0.6939 |
| No log | 3.4043 | 320 | 0.5970 | 0.4958 | 0.5970 | 0.7727 |
| No log | 3.4255 | 322 | 0.6804 | 0.5261 | 0.6804 | 0.8248 |
| No log | 3.4468 | 324 | 0.7530 | 0.5092 | 0.7530 | 0.8677 |
| No log | 3.4681 | 326 | 0.7599 | 0.5106 | 0.7599 | 0.8717 |
| No log | 3.4894 | 328 | 0.6928 | 0.5204 | 0.6928 | 0.8323 |
| No log | 3.5106 | 330 | 0.5752 | 0.5461 | 0.5752 | 0.7584 |
| No log | 3.5319 | 332 | 0.5015 | 0.5647 | 0.5015 | 0.7082 |
| No log | 3.5532 | 334 | 0.4821 | 0.5433 | 0.4821 | 0.6944 |
| No log | 3.5745 | 336 | 0.5275 | 0.5172 | 0.5275 | 0.7263 |
| No log | 3.5957 | 338 | 0.5469 | 0.5323 | 0.5469 | 0.7396 |
| No log | 3.6170 | 340 | 0.5212 | 0.5695 | 0.5212 | 0.7220 |
| No log | 3.6383 | 342 | 0.4912 | 0.6060 | 0.4912 | 0.7009 |
| No log | 3.6596 | 344 | 0.5048 | 0.6126 | 0.5048 | 0.7105 |
| No log | 3.6809 | 346 | 0.5924 | 0.5724 | 0.5924 | 0.7697 |
| No log | 3.7021 | 348 | 0.7037 | 0.4895 | 0.7037 | 0.8389 |
| No log | 3.7234 | 350 | 0.6837 | 0.4321 | 0.6837 | 0.8269 |
| No log | 3.7447 | 352 | 0.5887 | 0.4928 | 0.5887 | 0.7673 |
| No log | 3.7660 | 354 | 0.5224 | 0.5072 | 0.5224 | 0.7228 |
| No log | 3.7872 | 356 | 0.4770 | 0.5110 | 0.4770 | 0.6907 |
| No log | 3.8085 | 358 | 0.4662 | 0.5444 | 0.4662 | 0.6828 |
| No log | 3.8298 | 360 | 0.4790 | 0.5386 | 0.4790 | 0.6921 |
| No log | 3.8511 | 362 | 0.4895 | 0.5736 | 0.4895 | 0.6996 |
| No log | 3.8723 | 364 | 0.5308 | 0.5799 | 0.5308 | 0.7286 |
| No log | 3.8936 | 366 | 0.5652 | 0.6187 | 0.5652 | 0.7518 |
| No log | 3.9149 | 368 | 0.5623 | 0.6159 | 0.5623 | 0.7499 |
| No log | 3.9362 | 370 | 0.5082 | 0.6095 | 0.5082 | 0.7129 |
| No log | 3.9574 | 372 | 0.5170 | 0.5907 | 0.5170 | 0.7190 |
| No log | 3.9787 | 374 | 0.7160 | 0.4793 | 0.7160 | 0.8462 |
| No log | 4.0 | 376 | 0.8899 | 0.3589 | 0.8899 | 0.9434 |
| No log | 4.0213 | 378 | 0.8667 | 0.3664 | 0.8667 | 0.9310 |
| No log | 4.0426 | 380 | 0.6435 | 0.4517 | 0.6435 | 0.8022 |
| No log | 4.0638 | 382 | 0.4468 | 0.6170 | 0.4468 | 0.6684 |
| No log | 4.0851 | 384 | 0.4513 | 0.5416 | 0.4513 | 0.6718 |
| No log | 4.1064 | 386 | 0.4389 | 0.5934 | 0.4389 | 0.6625 |
| No log | 4.1277 | 388 | 0.4779 | 0.5591 | 0.4779 | 0.6913 |
| No log | 4.1489 | 390 | 0.5858 | 0.5187 | 0.5858 | 0.7654 |
| No log | 4.1702 | 392 | 0.7549 | 0.4731 | 0.7549 | 0.8689 |
| No log | 4.1915 | 394 | 0.7766 | 0.4648 | 0.7766 | 0.8813 |
| No log | 4.2128 | 396 | 0.7079 | 0.4875 | 0.7079 | 0.8413 |
| No log | 4.2340 | 398 | 0.5701 | 0.5573 | 0.5701 | 0.7551 |
| No log | 4.2553 | 400 | 0.4573 | 0.6223 | 0.4573 | 0.6763 |
| No log | 4.2766 | 402 | 0.4413 | 0.6215 | 0.4413 | 0.6643 |
| No log | 4.2979 | 404 | 0.4637 | 0.5474 | 0.4637 | 0.6810 |
| No log | 4.3191 | 406 | 0.5566 | 0.4797 | 0.5566 | 0.7460 |
| No log | 4.3404 | 408 | 0.6238 | 0.3833 | 0.6238 | 0.7898 |
| No log | 4.3617 | 410 | 0.6535 | 0.3787 | 0.6535 | 0.8084 |
| No log | 4.3830 | 412 | 0.6120 | 0.4413 | 0.6120 | 0.7823 |
| No log | 4.4043 | 414 | 0.5500 | 0.5264 | 0.5500 | 0.7416 |
| No log | 4.4255 | 416 | 0.5426 | 0.5563 | 0.5426 | 0.7366 |
| No log | 4.4468 | 418 | 0.5207 | 0.5783 | 0.5207 | 0.7216 |
| No log | 4.4681 | 420 | 0.5292 | 0.5463 | 0.5292 | 0.7275 |
| No log | 4.4894 | 422 | 0.5117 | 0.5554 | 0.5117 | 0.7153 |
| No log | 4.5106 | 424 | 0.5026 | 0.5435 | 0.5026 | 0.7089 |
| No log | 4.5319 | 426 | 0.4773 | 0.5688 | 0.4773 | 0.6908 |
| No log | 4.5532 | 428 | 0.4916 | 0.5730 | 0.4916 | 0.7012 |
| No log | 4.5745 | 430 | 0.4653 | 0.5841 | 0.4653 | 0.6821 |
| No log | 4.5957 | 432 | 0.4730 | 0.5992 | 0.4730 | 0.6878 |
| No log | 4.6170 | 434 | 0.5361 | 0.5815 | 0.5361 | 0.7322 |
| No log | 4.6383 | 436 | 0.7194 | 0.4948 | 0.7194 | 0.8482 |
| No log | 4.6596 | 438 | 0.8576 | 0.4359 | 0.8576 | 0.9261 |
| No log | 4.6809 | 440 | 0.7990 | 0.4571 | 0.7990 | 0.8938 |
| No log | 4.7021 | 442 | 0.6099 | 0.5264 | 0.6099 | 0.7810 |
| No log | 4.7234 | 444 | 0.4672 | 0.6245 | 0.4672 | 0.6835 |
| No log | 4.7447 | 446 | 0.4764 | 0.6350 | 0.4764 | 0.6902 |
| No log | 4.7660 | 448 | 0.4937 | 0.6232 | 0.4937 | 0.7026 |
| No log | 4.7872 | 450 | 0.5072 | 0.6095 | 0.5072 | 0.7122 |
| No log | 4.8085 | 452 | 0.5516 | 0.5814 | 0.5516 | 0.7427 |
| No log | 4.8298 | 454 | 0.6285 | 0.4976 | 0.6285 | 0.7928 |
| No log | 4.8511 | 456 | 0.6398 | 0.4528 | 0.6398 | 0.7999 |
| No log | 4.8723 | 458 | 0.6480 | 0.3935 | 0.6480 | 0.8050 |
| No log | 4.8936 | 460 | 0.5995 | 0.4155 | 0.5995 | 0.7743 |
| No log | 4.9149 | 462 | 0.5271 | 0.4843 | 0.5271 | 0.7260 |
| No log | 4.9362 | 464 | 0.5067 | 0.5427 | 0.5067 | 0.7118 |
| No log | 4.9574 | 466 | 0.5518 | 0.5843 | 0.5518 | 0.7428 |
| No log | 4.9787 | 468 | 0.6820 | 0.5309 | 0.6820 | 0.8258 |
| No log | 5.0 | 470 | 0.8470 | 0.5087 | 0.8470 | 0.9203 |
| No log | 5.0213 | 472 | 0.8969 | 0.5077 | 0.8969 | 0.9471 |
| No log | 5.0426 | 474 | 0.8190 | 0.4974 | 0.8190 | 0.9050 |
| No log | 5.0638 | 476 | 0.6492 | 0.5148 | 0.6492 | 0.8057 |
| No log | 5.0851 | 478 | 0.5597 | 0.5491 | 0.5597 | 0.7481 |
| No log | 5.1064 | 480 | 0.5568 | 0.5039 | 0.5568 | 0.7462 |
| No log | 5.1277 | 482 | 0.5314 | 0.4720 | 0.5314 | 0.7290 |
| No log | 5.1489 | 484 | 0.5333 | 0.4822 | 0.5333 | 0.7303 |
| No log | 5.1702 | 486 | 0.5786 | 0.5050 | 0.5786 | 0.7607 |
| No log | 5.1915 | 488 | 0.5877 | 0.5592 | 0.5877 | 0.7666 |
| No log | 5.2128 | 490 | 0.5367 | 0.5924 | 0.5367 | 0.7326 |
| No log | 5.2340 | 492 | 0.5015 | 0.5998 | 0.5015 | 0.7082 |
| No log | 5.2553 | 494 | 0.4655 | 0.5871 | 0.4655 | 0.6823 |
| No log | 5.2766 | 496 | 0.4718 | 0.5953 | 0.4718 | 0.6869 |
| No log | 5.2979 | 498 | 0.4624 | 0.6063 | 0.4624 | 0.6800 |
| 0.4944 | 5.3191 | 500 | 0.5517 | 0.5755 | 0.5517 | 0.7428 |
| 0.4944 | 5.3404 | 502 | 0.7229 | 0.4428 | 0.7229 | 0.8502 |
| 0.4944 | 5.3617 | 504 | 0.8184 | 0.4186 | 0.8184 | 0.9046 |
| 0.4944 | 5.3830 | 506 | 0.7250 | 0.4853 | 0.7250 | 0.8515 |
| 0.4944 | 5.4043 | 508 | 0.5547 | 0.5367 | 0.5547 | 0.7448 |
| 0.4944 | 5.4255 | 510 | 0.4673 | 0.5883 | 0.4673 | 0.6836 |
| 0.4944 | 5.4468 | 512 | 0.4649 | 0.5996 | 0.4649 | 0.6818 |
| 0.4944 | 5.4681 | 514 | 0.4657 | 0.5954 | 0.4657 | 0.6824 |
| 0.4944 | 5.4894 | 516 | 0.5302 | 0.5747 | 0.5302 | 0.7281 |
| 0.4944 | 5.5106 | 518 | 0.7249 | 0.4764 | 0.7249 | 0.8514 |
| 0.4944 | 5.5319 | 520 | 0.8394 | 0.4032 | 0.8394 | 0.9162 |
| 0.4944 | 5.5532 | 522 | 0.7500 | 0.4129 | 0.7500 | 0.8660 |
| 0.4944 | 5.5745 | 524 | 0.6030 | 0.4655 | 0.6030 | 0.7765 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1