--- library_name: transformers base_model: aubmindlab/bert-base-arabertv02 tags: - generated_from_trainer model-index: - name: Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask5_style results: [] --- # Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask5_style 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: 0.5705 - Qwk: 0.5583 - Mse: 0.5705 - Rmse: 0.7553 ## 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 | 0.0198 | 2 | 4.2244 | -0.0026 | 4.2244 | 2.0553 | | No log | 0.0396 | 4 | 2.9368 | 0.0459 | 2.9368 | 1.7137 | | No log | 0.0594 | 6 | 1.4729 | 0.0059 | 1.4729 | 1.2136 | | No log | 0.0792 | 8 | 0.9333 | 0.0915 | 0.9333 | 0.9661 | | No log | 0.0990 | 10 | 0.7506 | 0.1245 | 0.7506 | 0.8664 | | No log | 0.1188 | 12 | 0.8095 | 0.0565 | 0.8095 | 0.8997 | | No log | 0.1386 | 14 | 0.8107 | 0.1593 | 0.8107 | 0.9004 | | No log | 0.1584 | 16 | 0.6680 | 0.2785 | 0.6680 | 0.8173 | | No log | 0.1782 | 18 | 0.6275 | 0.4380 | 0.6275 | 0.7921 | | No log | 0.1980 | 20 | 0.5977 | 0.4277 | 0.5977 | 0.7731 | | No log | 0.2178 | 22 | 0.6109 | 0.2878 | 0.6109 | 0.7816 | | No log | 0.2376 | 24 | 0.6240 | 0.2878 | 0.6240 | 0.7899 | | No log | 0.2574 | 26 | 0.6054 | 0.3293 | 0.6054 | 0.7781 | | No log | 0.2772 | 28 | 0.6090 | 0.3054 | 0.6090 | 0.7804 | | No log | 0.2970 | 30 | 0.5789 | 0.3121 | 0.5789 | 0.7609 | | No log | 0.3168 | 32 | 0.5348 | 0.3778 | 0.5348 | 0.7313 | | No log | 0.3366 | 34 | 0.5215 | 0.4081 | 0.5215 | 0.7221 | | No log | 0.3564 | 36 | 0.5402 | 0.5202 | 0.5402 | 0.7350 | | No log | 0.3762 | 38 | 0.5040 | 0.5071 | 0.5040 | 0.7099 | | No log | 0.3960 | 40 | 0.5986 | 0.4767 | 0.5986 | 0.7737 | | No log | 0.4158 | 42 | 0.6328 | 0.5036 | 0.6328 | 0.7955 | | No log | 0.4356 | 44 | 0.5686 | 0.5416 | 0.5686 | 0.7541 | | No log | 0.4554 | 46 | 0.5498 | 0.5556 | 0.5498 | 0.7415 | | No log | 0.4752 | 48 | 0.5875 | 0.5042 | 0.5875 | 0.7665 | | No log | 0.4950 | 50 | 0.5480 | 0.5329 | 0.5480 | 0.7403 | | No log | 0.5149 | 52 | 0.4840 | 0.5353 | 0.4840 | 0.6957 | | No log | 0.5347 | 54 | 0.4987 | 0.4858 | 0.4987 | 0.7062 | | No log | 0.5545 | 56 | 0.6363 | 0.3960 | 0.6363 | 0.7977 | | No log | 0.5743 | 58 | 0.7962 | 0.2936 | 0.7962 | 0.8923 | | No log | 0.5941 | 60 | 0.7815 | 0.3127 | 0.7815 | 0.8840 | | No log | 0.6139 | 62 | 0.6122 | 0.4381 | 0.6122 | 0.7824 | | No log | 0.6337 | 64 | 0.5006 | 0.5804 | 0.5006 | 0.7075 | | No log | 0.6535 | 66 | 0.5267 | 0.5835 | 0.5267 | 0.7257 | | No log | 0.6733 | 68 | 0.5583 | 0.5872 | 0.5583 | 0.7472 | | No log | 0.6931 | 70 | 0.5859 | 0.5920 | 0.5859 | 0.7654 | | No log | 0.7129 | 72 | 0.5630 | 0.5823 | 0.5630 | 0.7504 | | No log | 0.7327 | 74 | 0.5126 | 0.5583 | 0.5126 | 0.7160 | | No log | 0.7525 | 76 | 0.4844 | 0.5410 | 0.4844 | 0.6960 | | No log | 0.7723 | 78 | 0.5018 | 0.4492 | 0.5018 | 0.7084 | | No log | 0.7921 | 80 | 0.4826 | 0.4389 | 0.4826 | 0.6947 | | No log | 0.8119 | 82 | 0.4657 | 0.4876 | 0.4657 | 0.6824 | | No log | 0.8317 | 84 | 0.4753 | 0.4577 | 0.4753 | 0.6894 | | No log | 0.8515 | 86 | 0.5439 | 0.4682 | 0.5439 | 0.7375 | | No log | 0.8713 | 88 | 0.5935 | 0.4771 | 0.5935 | 0.7704 | | No log | 0.8911 | 90 | 0.6344 | 0.4879 | 0.6344 | 0.7965 | | No log | 0.9109 | 92 | 0.5282 | 0.5254 | 0.5282 | 0.7268 | | No log | 0.9307 | 94 | 0.4862 | 0.5611 | 0.4862 | 0.6973 | | No log | 0.9505 | 96 | 0.5130 | 0.5587 | 0.5130 | 0.7162 | | No log | 0.9703 | 98 | 0.5009 | 0.5721 | 0.5009 | 0.7077 | | No log | 0.9901 | 100 | 0.5292 | 0.5001 | 0.5292 | 0.7275 | | No log | 1.0099 | 102 | 0.5799 | 0.4425 | 0.5799 | 0.7615 | | No log | 1.0297 | 104 | 0.5400 | 0.3915 | 0.5400 | 0.7348 | | No log | 1.0495 | 106 | 0.5131 | 0.3848 | 0.5131 | 0.7163 | | No log | 1.0693 | 108 | 0.4775 | 0.4408 | 0.4775 | 0.6910 | | No log | 1.0891 | 110 | 0.4805 | 0.5073 | 0.4805 | 0.6932 | | No log | 1.1089 | 112 | 0.5244 | 0.5543 | 0.5244 | 0.7241 | | No log | 1.1287 | 114 | 0.4984 | 0.6325 | 0.4984 | 0.7060 | | No log | 1.1485 | 116 | 0.4746 | 0.6643 | 0.4746 | 0.6889 | | No log | 1.1683 | 118 | 0.4739 | 0.6568 | 0.4739 | 0.6884 | | No log | 1.1881 | 120 | 0.4621 | 0.6654 | 0.4621 | 0.6798 | | No log | 1.2079 | 122 | 0.5582 | 0.5043 | 0.5582 | 0.7471 | | No log | 1.2277 | 124 | 0.5868 | 0.4742 | 0.5868 | 0.7660 | | No log | 1.2475 | 126 | 0.4825 | 0.6040 | 0.4825 | 0.6947 | | No log | 1.2673 | 128 | 0.4912 | 0.5704 | 0.4912 | 0.7009 | | No log | 1.2871 | 130 | 0.4693 | 0.5978 | 0.4693 | 0.6851 | | No log | 1.3069 | 132 | 0.4417 | 0.6209 | 0.4417 | 0.6646 | | No log | 1.3267 | 134 | 0.5091 | 0.6026 | 0.5091 | 0.7135 | | No log | 1.3465 | 136 | 0.5345 | 0.5780 | 0.5345 | 0.7311 | | No log | 1.3663 | 138 | 0.5366 | 0.5788 | 0.5366 | 0.7325 | | No log | 1.3861 | 140 | 0.4922 | 0.5521 | 0.4922 | 0.7016 | | No log | 1.4059 | 142 | 0.4786 | 0.5066 | 0.4786 | 0.6918 | | No log | 1.4257 | 144 | 0.4795 | 0.5264 | 0.4795 | 0.6925 | | No log | 1.4455 | 146 | 0.4910 | 0.5283 | 0.4910 | 0.7007 | | No log | 1.4653 | 148 | 0.4802 | 0.4932 | 0.4802 | 0.6929 | | No log | 1.4851 | 150 | 0.5041 | 0.4905 | 0.5041 | 0.7100 | | No log | 1.5050 | 152 | 0.5059 | 0.4792 | 0.5059 | 0.7113 | | No log | 1.5248 | 154 | 0.5087 | 0.4735 | 0.5087 | 0.7132 | | No log | 1.5446 | 156 | 0.5191 | 0.4691 | 0.5191 | 0.7205 | | No log | 1.5644 | 158 | 0.5784 | 0.3956 | 0.5784 | 0.7605 | | No log | 1.5842 | 160 | 0.6929 | 0.3844 | 0.6929 | 0.8324 | | No log | 1.6040 | 162 | 0.7163 | 0.3803 | 0.7163 | 0.8463 | | No log | 1.6238 | 164 | 0.6149 | 0.4583 | 0.6149 | 0.7842 | | No log | 1.6436 | 166 | 0.5160 | 0.4680 | 0.5160 | 0.7183 | | No log | 1.6634 | 168 | 0.5861 | 0.4382 | 0.5861 | 0.7655 | | No log | 1.6832 | 170 | 0.6335 | 0.4023 | 0.6335 | 0.7959 | | No log | 1.7030 | 172 | 0.5613 | 0.4589 | 0.5613 | 0.7492 | | No log | 1.7228 | 174 | 0.5384 | 0.3854 | 0.5384 | 0.7337 | | No log | 1.7426 | 176 | 0.6251 | 0.3381 | 0.6251 | 0.7906 | | No log | 1.7624 | 178 | 0.6171 | 0.5126 | 0.6171 | 0.7856 | | No log | 1.7822 | 180 | 0.5821 | 0.5240 | 0.5821 | 0.7630 | | No log | 1.8020 | 182 | 0.6732 | 0.4901 | 0.6732 | 0.8205 | | No log | 1.8218 | 184 | 0.6049 | 0.5314 | 0.6049 | 0.7778 | | No log | 1.8416 | 186 | 0.6856 | 0.5023 | 0.6856 | 0.8280 | | No log | 1.8614 | 188 | 0.8999 | 0.3778 | 0.8999 | 0.9486 | | No log | 1.8812 | 190 | 0.9941 | 0.3219 | 0.9941 | 0.9971 | | No log | 1.9010 | 192 | 0.6968 | 0.3741 | 0.6968 | 0.8347 | | No log | 1.9208 | 194 | 0.6158 | 0.4469 | 0.6158 | 0.7847 | | No log | 1.9406 | 196 | 0.5927 | 0.4743 | 0.5927 | 0.7699 | | No log | 1.9604 | 198 | 0.6464 | 0.4450 | 0.6464 | 0.8040 | | No log | 1.9802 | 200 | 0.6228 | 0.5225 | 0.6228 | 0.7892 | | No log | 2.0 | 202 | 0.8286 | 0.3868 | 0.8286 | 0.9103 | | No log | 2.0198 | 204 | 0.9116 | 0.3823 | 0.9116 | 0.9548 | | No log | 2.0396 | 206 | 0.7794 | 0.4052 | 0.7794 | 0.8829 | | No log | 2.0594 | 208 | 0.6396 | 0.4583 | 0.6396 | 0.7997 | | No log | 2.0792 | 210 | 0.5545 | 0.4652 | 0.5545 | 0.7446 | | No log | 2.0990 | 212 | 0.5259 | 0.4448 | 0.5259 | 0.7252 | | No log | 2.1188 | 214 | 0.5111 | 0.4614 | 0.5111 | 0.7149 | | No log | 2.1386 | 216 | 0.5247 | 0.5058 | 0.5247 | 0.7244 | | No log | 2.1584 | 218 | 0.5363 | 0.5172 | 0.5363 | 0.7323 | | No log | 2.1782 | 220 | 0.4865 | 0.6010 | 0.4865 | 0.6975 | | No log | 2.1980 | 222 | 0.4856 | 0.6324 | 0.4856 | 0.6968 | | No log | 2.2178 | 224 | 0.5049 | 0.6151 | 0.5049 | 0.7105 | | No log | 2.2376 | 226 | 0.5938 | 0.5132 | 0.5938 | 0.7706 | | No log | 2.2574 | 228 | 0.5976 | 0.5038 | 0.5976 | 0.7730 | | No log | 2.2772 | 230 | 0.5546 | 0.5312 | 0.5546 | 0.7447 | | No log | 2.2970 | 232 | 0.5116 | 0.5490 | 0.5116 | 0.7152 | | No log | 2.3168 | 234 | 0.5047 | 0.5554 | 0.5047 | 0.7104 | | No log | 2.3366 | 236 | 0.5361 | 0.5485 | 0.5361 | 0.7322 | | No log | 2.3564 | 238 | 0.5266 | 0.5847 | 0.5266 | 0.7257 | | No log | 2.3762 | 240 | 0.4938 | 0.6217 | 0.4938 | 0.7027 | | No log | 2.3960 | 242 | 0.4678 | 0.6413 | 0.4678 | 0.6840 | | No log | 2.4158 | 244 | 0.5058 | 0.6257 | 0.5058 | 0.7112 | | No log | 2.4356 | 246 | 0.5023 | 0.5828 | 0.5023 | 0.7087 | | No log | 2.4554 | 248 | 0.4760 | 0.5557 | 0.4760 | 0.6900 | | No log | 2.4752 | 250 | 0.4806 | 0.5581 | 0.4806 | 0.6933 | | No log | 2.4950 | 252 | 0.4520 | 0.6126 | 0.4520 | 0.6723 | | No log | 2.5149 | 254 | 0.4557 | 0.6299 | 0.4557 | 0.6751 | | No log | 2.5347 | 256 | 0.4683 | 0.6370 | 0.4683 | 0.6843 | | No log | 2.5545 | 258 | 0.4980 | 0.6231 | 0.4980 | 0.7057 | | No log | 2.5743 | 260 | 0.5635 | 0.5634 | 0.5635 | 0.7506 | | No log | 2.5941 | 262 | 0.5636 | 0.5343 | 0.5636 | 0.7508 | | No log | 2.6139 | 264 | 0.4922 | 0.6077 | 0.4922 | 0.7016 | | No log | 2.6337 | 266 | 0.4837 | 0.6435 | 0.4837 | 0.6955 | | No log | 2.6535 | 268 | 0.4789 | 0.6600 | 0.4789 | 0.6920 | | No log | 2.6733 | 270 | 0.6097 | 0.5274 | 0.6097 | 0.7809 | | No log | 2.6931 | 272 | 0.6209 | 0.5392 | 0.6209 | 0.7880 | | No log | 2.7129 | 274 | 0.5749 | 0.5761 | 0.5749 | 0.7582 | | No log | 2.7327 | 276 | 0.4992 | 0.6308 | 0.4992 | 0.7066 | | No log | 2.7525 | 278 | 0.5315 | 0.6130 | 0.5315 | 0.7290 | | No log | 2.7723 | 280 | 0.5640 | 0.5739 | 0.5640 | 0.7510 | | No log | 2.7921 | 282 | 0.5246 | 0.5947 | 0.5246 | 0.7243 | | No log | 2.8119 | 284 | 0.5049 | 0.5805 | 0.5049 | 0.7106 | | No log | 2.8317 | 286 | 0.4752 | 0.5799 | 0.4752 | 0.6894 | | No log | 2.8515 | 288 | 0.4647 | 0.5786 | 0.4647 | 0.6817 | | No log | 2.8713 | 290 | 0.5799 | 0.5335 | 0.5799 | 0.7615 | | No log | 2.8911 | 292 | 0.8815 | 0.3798 | 0.8815 | 0.9389 | | No log | 2.9109 | 294 | 1.0348 | 0.3279 | 1.0348 | 1.0173 | | No log | 2.9307 | 296 | 0.9051 | 0.4074 | 0.9051 | 0.9513 | | No log | 2.9505 | 298 | 0.6188 | 0.5424 | 0.6188 | 0.7866 | | No log | 2.9703 | 300 | 0.4537 | 0.6378 | 0.4537 | 0.6736 | | No log | 2.9901 | 302 | 0.4639 | 0.6367 | 0.4639 | 0.6811 | | No log | 3.0099 | 304 | 0.4401 | 0.6350 | 0.4401 | 0.6634 | | No log | 3.0297 | 306 | 0.4437 | 0.6157 | 0.4437 | 0.6661 | | No log | 3.0495 | 308 | 0.5255 | 0.5816 | 0.5255 | 0.7249 | | No log | 3.0693 | 310 | 0.5476 | 0.5529 | 0.5476 | 0.7400 | | No log | 3.0891 | 312 | 0.4888 | 0.5911 | 0.4888 | 0.6991 | | No log | 3.1089 | 314 | 0.4276 | 0.5676 | 0.4276 | 0.6539 | | No log | 3.1287 | 316 | 0.4254 | 0.5537 | 0.4254 | 0.6522 | | No log | 3.1485 | 318 | 0.4480 | 0.5905 | 0.4480 | 0.6693 | | No log | 3.1683 | 320 | 0.4203 | 0.5676 | 0.4203 | 0.6483 | | No log | 3.1881 | 322 | 0.4765 | 0.5951 | 0.4765 | 0.6903 | | No log | 3.2079 | 324 | 0.5687 | 0.5883 | 0.5687 | 0.7542 | | No log | 3.2277 | 326 | 0.5646 | 0.5941 | 0.5646 | 0.7514 | | No log | 3.2475 | 328 | 0.4980 | 0.6197 | 0.4980 | 0.7057 | | No log | 3.2673 | 330 | 0.4097 | 0.6162 | 0.4097 | 0.6400 | | No log | 3.2871 | 332 | 0.3896 | 0.6591 | 0.3896 | 0.6242 | | No log | 3.3069 | 334 | 0.3990 | 0.6572 | 0.3990 | 0.6317 | | No log | 3.3267 | 336 | 0.4585 | 0.6602 | 0.4585 | 0.6771 | | No log | 3.3465 | 338 | 0.5288 | 0.6287 | 0.5288 | 0.7272 | | No log | 3.3663 | 340 | 0.5540 | 0.5843 | 0.5540 | 0.7443 | | No log | 3.3861 | 342 | 0.5735 | 0.5736 | 0.5735 | 0.7573 | | No log | 3.4059 | 344 | 0.5225 | 0.5768 | 0.5225 | 0.7229 | | No log | 3.4257 | 346 | 0.4938 | 0.5908 | 0.4938 | 0.7027 | | No log | 3.4455 | 348 | 0.5935 | 0.5408 | 0.5935 | 0.7704 | | No log | 3.4653 | 350 | 0.6452 | 0.4566 | 0.6452 | 0.8033 | | No log | 3.4851 | 352 | 0.6249 | 0.4583 | 0.6249 | 0.7905 | | No log | 3.5050 | 354 | 0.5794 | 0.4997 | 0.5794 | 0.7612 | | No log | 3.5248 | 356 | 0.5035 | 0.5768 | 0.5035 | 0.7096 | | No log | 3.5446 | 358 | 0.4768 | 0.6504 | 0.4768 | 0.6905 | | No log | 3.5644 | 360 | 0.5514 | 0.6272 | 0.5514 | 0.7425 | | No log | 3.5842 | 362 | 0.5728 | 0.6195 | 0.5728 | 0.7568 | | No log | 3.6040 | 364 | 0.5310 | 0.6335 | 0.5310 | 0.7287 | | No log | 3.6238 | 366 | 0.5185 | 0.6193 | 0.5185 | 0.7200 | | No log | 3.6436 | 368 | 0.5522 | 0.6178 | 0.5522 | 0.7431 | | No log | 3.6634 | 370 | 0.6056 | 0.5805 | 0.6056 | 0.7782 | | No log | 3.6832 | 372 | 0.6224 | 0.5587 | 0.6224 | 0.7889 | | No log | 3.7030 | 374 | 0.5488 | 0.5821 | 0.5488 | 0.7408 | | No log | 3.7228 | 376 | 0.5148 | 0.5873 | 0.5148 | 0.7175 | | No log | 3.7426 | 378 | 0.5430 | 0.5878 | 0.5430 | 0.7369 | | No log | 3.7624 | 380 | 0.5806 | 0.5780 | 0.5806 | 0.7620 | | No log | 3.7822 | 382 | 0.6253 | 0.4880 | 0.6253 | 0.7908 | | No log | 3.8020 | 384 | 0.7179 | 0.4708 | 0.7179 | 0.8473 | | No log | 3.8218 | 386 | 0.7220 | 0.4571 | 0.7220 | 0.8497 | | No log | 3.8416 | 388 | 0.6558 | 0.5352 | 0.6558 | 0.8098 | | No log | 3.8614 | 390 | 0.5226 | 0.5996 | 0.5226 | 0.7229 | | No log | 3.8812 | 392 | 0.4771 | 0.6257 | 0.4771 | 0.6907 | | No log | 3.9010 | 394 | 0.4664 | 0.6253 | 0.4664 | 0.6830 | | No log | 3.9208 | 396 | 0.4882 | 0.6287 | 0.4882 | 0.6987 | | No log | 3.9406 | 398 | 0.5571 | 0.6200 | 0.5571 | 0.7464 | | No log | 3.9604 | 400 | 0.6986 | 0.5493 | 0.6986 | 0.8358 | | No log | 3.9802 | 402 | 0.7403 | 0.5415 | 0.7403 | 0.8604 | | No log | 4.0 | 404 | 0.7231 | 0.5818 | 0.7231 | 0.8504 | | No log | 4.0198 | 406 | 0.6436 | 0.5975 | 0.6436 | 0.8022 | | No log | 4.0396 | 408 | 0.5594 | 0.5989 | 0.5594 | 0.7479 | | No log | 4.0594 | 410 | 0.5251 | 0.5935 | 0.5251 | 0.7247 | | No log | 4.0792 | 412 | 0.4995 | 0.5892 | 0.4995 | 0.7068 | | No log | 4.0990 | 414 | 0.6776 | 0.5147 | 0.6776 | 0.8231 | | No log | 4.1188 | 416 | 0.8703 | 0.3981 | 0.8703 | 0.9329 | | No log | 4.1386 | 418 | 0.8965 | 0.3903 | 0.8965 | 0.9468 | | No log | 4.1584 | 420 | 0.7560 | 0.4225 | 0.7560 | 0.8695 | | No log | 4.1782 | 422 | 0.6107 | 0.4733 | 0.6107 | 0.7815 | | No log | 4.1980 | 424 | 0.4889 | 0.5122 | 0.4889 | 0.6992 | | No log | 4.2178 | 426 | 0.4738 | 0.5192 | 0.4738 | 0.6884 | | No log | 4.2376 | 428 | 0.4964 | 0.5090 | 0.4964 | 0.7046 | | No log | 4.2574 | 430 | 0.5861 | 0.5455 | 0.5861 | 0.7656 | | No log | 4.2772 | 432 | 0.6618 | 0.5285 | 0.6618 | 0.8135 | | No log | 4.2970 | 434 | 0.6761 | 0.5604 | 0.6761 | 0.8223 | | No log | 4.3168 | 436 | 0.5690 | 0.6085 | 0.5690 | 0.7543 | | No log | 4.3366 | 438 | 0.5271 | 0.6033 | 0.5271 | 0.7260 | | No log | 4.3564 | 440 | 0.5969 | 0.5869 | 0.5969 | 0.7726 | | No log | 4.3762 | 442 | 0.5492 | 0.6088 | 0.5492 | 0.7411 | | No log | 4.3960 | 444 | 0.5130 | 0.6261 | 0.5130 | 0.7163 | | No log | 4.4158 | 446 | 0.5983 | 0.5908 | 0.5983 | 0.7735 | | No log | 4.4356 | 448 | 0.6330 | 0.5648 | 0.6330 | 0.7956 | | No log | 4.4554 | 450 | 0.5773 | 0.5612 | 0.5773 | 0.7598 | | No log | 4.4752 | 452 | 0.4904 | 0.5814 | 0.4904 | 0.7003 | | No log | 4.4950 | 454 | 0.4566 | 0.5996 | 0.4566 | 0.6757 | | No log | 4.5149 | 456 | 0.4826 | 0.6155 | 0.4826 | 0.6947 | | No log | 4.5347 | 458 | 0.5790 | 0.5645 | 0.5790 | 0.7609 | | No log | 4.5545 | 460 | 0.6902 | 0.5745 | 0.6902 | 0.8308 | | No log | 4.5743 | 462 | 0.7205 | 0.5905 | 0.7205 | 0.8488 | | No log | 4.5941 | 464 | 0.6902 | 0.6135 | 0.6902 | 0.8308 | | No log | 4.6139 | 466 | 0.6225 | 0.6113 | 0.6225 | 0.7890 | | No log | 4.6337 | 468 | 0.5521 | 0.6185 | 0.5521 | 0.7430 | | No log | 4.6535 | 470 | 0.5718 | 0.6076 | 0.5718 | 0.7562 | | No log | 4.6733 | 472 | 0.6828 | 0.5925 | 0.6828 | 0.8263 | | No log | 4.6931 | 474 | 0.7151 | 0.5779 | 0.7151 | 0.8456 | | No log | 4.7129 | 476 | 0.6134 | 0.5901 | 0.6134 | 0.7832 | | No log | 4.7327 | 478 | 0.5356 | 0.5923 | 0.5356 | 0.7319 | | No log | 4.7525 | 480 | 0.5328 | 0.5884 | 0.5328 | 0.7299 | | No log | 4.7723 | 482 | 0.4821 | 0.6312 | 0.4821 | 0.6943 | | No log | 4.7921 | 484 | 0.4674 | 0.6076 | 0.4674 | 0.6837 | | No log | 4.8119 | 486 | 0.4996 | 0.5995 | 0.4996 | 0.7068 | | No log | 4.8317 | 488 | 0.5655 | 0.5417 | 0.5655 | 0.7520 | | No log | 4.8515 | 490 | 0.6328 | 0.5383 | 0.6328 | 0.7955 | | No log | 4.8713 | 492 | 0.5947 | 0.5256 | 0.5947 | 0.7712 | | No log | 4.8911 | 494 | 0.6077 | 0.5483 | 0.6077 | 0.7796 | | No log | 4.9109 | 496 | 0.5424 | 0.5739 | 0.5424 | 0.7365 | | No log | 4.9307 | 498 | 0.4834 | 0.6249 | 0.4834 | 0.6953 | | 0.494 | 4.9505 | 500 | 0.4813 | 0.6382 | 0.4813 | 0.6938 | | 0.494 | 4.9703 | 502 | 0.5511 | 0.6129 | 0.5511 | 0.7424 | | 0.494 | 4.9901 | 504 | 0.7097 | 0.4703 | 0.7097 | 0.8424 | | 0.494 | 5.0099 | 506 | 0.7715 | 0.4114 | 0.7715 | 0.8783 | | 0.494 | 5.0297 | 508 | 0.6739 | 0.4589 | 0.6739 | 0.8209 | | 0.494 | 5.0495 | 510 | 0.5705 | 0.5583 | 0.5705 | 0.7553 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.0+cu118 - Datasets 2.21.0 - Tokenizers 0.19.1