Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask7_style
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: 0.5691
- Qwk: 0.5934
- Mse: 0.5691
- Rmse: 0.7544
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 | 0.0202 | 2 | 4.3227 | -0.0076 | 4.3227 | 2.0791 |
| No log | 0.0404 | 4 | 3.3441 | 0.0382 | 3.3441 | 1.8287 |
| No log | 0.0606 | 6 | 2.0985 | 0.0954 | 2.0985 | 1.4486 |
| No log | 0.0808 | 8 | 1.0333 | 0.1558 | 1.0333 | 1.0165 |
| No log | 0.1010 | 10 | 0.9785 | 0.0674 | 0.9785 | 0.9892 |
| No log | 0.1212 | 12 | 1.1256 | 0.0217 | 1.1256 | 1.0610 |
| No log | 0.1414 | 14 | 1.0783 | 0.0335 | 1.0783 | 1.0384 |
| No log | 0.1616 | 16 | 1.0217 | 0.0369 | 1.0217 | 1.0108 |
| No log | 0.1818 | 18 | 0.8597 | 0.0521 | 0.8597 | 0.9272 |
| No log | 0.2020 | 20 | 0.7914 | 0.3960 | 0.7914 | 0.8896 |
| No log | 0.2222 | 22 | 0.7767 | 0.3927 | 0.7767 | 0.8813 |
| No log | 0.2424 | 24 | 0.7361 | 0.3352 | 0.7361 | 0.8579 |
| No log | 0.2626 | 26 | 0.7923 | 0.1627 | 0.7923 | 0.8901 |
| No log | 0.2828 | 28 | 0.9069 | 0.2643 | 0.9069 | 0.9523 |
| No log | 0.3030 | 30 | 0.9257 | 0.3637 | 0.9257 | 0.9621 |
| No log | 0.3232 | 32 | 0.8165 | 0.3388 | 0.8165 | 0.9036 |
| No log | 0.3434 | 34 | 0.6222 | 0.4287 | 0.6222 | 0.7888 |
| No log | 0.3636 | 36 | 0.6558 | 0.4753 | 0.6558 | 0.8098 |
| No log | 0.3838 | 38 | 0.8271 | 0.4929 | 0.8271 | 0.9094 |
| No log | 0.4040 | 40 | 0.7103 | 0.4946 | 0.7103 | 0.8428 |
| No log | 0.4242 | 42 | 0.5704 | 0.5378 | 0.5704 | 0.7553 |
| No log | 0.4444 | 44 | 0.6903 | 0.3934 | 0.6903 | 0.8308 |
| No log | 0.4646 | 46 | 0.8405 | 0.3595 | 0.8405 | 0.9168 |
| No log | 0.4848 | 48 | 0.8106 | 0.3798 | 0.8106 | 0.9004 |
| No log | 0.5051 | 50 | 0.6715 | 0.4954 | 0.6715 | 0.8195 |
| No log | 0.5253 | 52 | 0.6224 | 0.5983 | 0.6224 | 0.7889 |
| No log | 0.5455 | 54 | 0.5985 | 0.5916 | 0.5985 | 0.7737 |
| No log | 0.5657 | 56 | 0.6678 | 0.4897 | 0.6678 | 0.8172 |
| No log | 0.5859 | 58 | 0.7085 | 0.3478 | 0.7085 | 0.8417 |
| No log | 0.6061 | 60 | 0.6377 | 0.3655 | 0.6377 | 0.7985 |
| No log | 0.6263 | 62 | 0.5574 | 0.5211 | 0.5574 | 0.7466 |
| No log | 0.6465 | 64 | 0.5220 | 0.5762 | 0.5220 | 0.7225 |
| No log | 0.6667 | 66 | 0.5125 | 0.6235 | 0.5125 | 0.7159 |
| No log | 0.6869 | 68 | 0.6175 | 0.5939 | 0.6175 | 0.7858 |
| No log | 0.7071 | 70 | 0.8685 | 0.4753 | 0.8685 | 0.9319 |
| No log | 0.7273 | 72 | 0.9142 | 0.4615 | 0.9142 | 0.9562 |
| No log | 0.7475 | 74 | 0.7465 | 0.5525 | 0.7465 | 0.8640 |
| No log | 0.7677 | 76 | 0.7036 | 0.5645 | 0.7036 | 0.8388 |
| No log | 0.7879 | 78 | 0.6430 | 0.6032 | 0.6430 | 0.8019 |
| No log | 0.8081 | 80 | 0.6659 | 0.5375 | 0.6659 | 0.8160 |
| No log | 0.8283 | 82 | 0.6573 | 0.4816 | 0.6573 | 0.8107 |
| No log | 0.8485 | 84 | 0.5860 | 0.5350 | 0.5860 | 0.7655 |
| No log | 0.8687 | 86 | 0.5704 | 0.5408 | 0.5704 | 0.7552 |
| No log | 0.8889 | 88 | 0.5770 | 0.5211 | 0.5770 | 0.7596 |
| No log | 0.9091 | 90 | 0.6026 | 0.4672 | 0.6026 | 0.7763 |
| No log | 0.9293 | 92 | 0.7363 | 0.3651 | 0.7363 | 0.8581 |
| No log | 0.9495 | 94 | 0.7383 | 0.2972 | 0.7383 | 0.8592 |
| No log | 0.9697 | 96 | 0.5971 | 0.5644 | 0.5971 | 0.7727 |
| No log | 0.9899 | 98 | 0.5701 | 0.5462 | 0.5701 | 0.7551 |
| No log | 1.0101 | 100 | 0.5929 | 0.5615 | 0.5929 | 0.7700 |
| No log | 1.0303 | 102 | 0.5784 | 0.5788 | 0.5784 | 0.7605 |
| No log | 1.0505 | 104 | 0.8489 | 0.4259 | 0.8489 | 0.9214 |
| No log | 1.0707 | 106 | 0.9222 | 0.4096 | 0.9222 | 0.9603 |
| No log | 1.0909 | 108 | 0.7488 | 0.5165 | 0.7488 | 0.8653 |
| No log | 1.1111 | 110 | 0.5634 | 0.6133 | 0.5634 | 0.7506 |
| No log | 1.1313 | 112 | 0.5388 | 0.6289 | 0.5388 | 0.7340 |
| No log | 1.1515 | 114 | 0.5292 | 0.5817 | 0.5292 | 0.7275 |
| No log | 1.1717 | 116 | 0.6410 | 0.4290 | 0.6410 | 0.8006 |
| No log | 1.1919 | 118 | 0.7270 | 0.3362 | 0.7270 | 0.8526 |
| No log | 1.2121 | 120 | 0.7174 | 0.3499 | 0.7174 | 0.8470 |
| No log | 1.2323 | 122 | 0.6384 | 0.4166 | 0.6384 | 0.7990 |
| No log | 1.2525 | 124 | 0.5768 | 0.4900 | 0.5768 | 0.7595 |
| No log | 1.2727 | 126 | 0.5918 | 0.4689 | 0.5918 | 0.7693 |
| No log | 1.2929 | 128 | 0.6255 | 0.4107 | 0.6255 | 0.7909 |
| No log | 1.3131 | 130 | 0.6855 | 0.4140 | 0.6855 | 0.8280 |
| No log | 1.3333 | 132 | 0.7496 | 0.4062 | 0.7496 | 0.8658 |
| No log | 1.3535 | 134 | 0.6520 | 0.5457 | 0.6520 | 0.8075 |
| No log | 1.3737 | 136 | 0.5287 | 0.6302 | 0.5287 | 0.7271 |
| No log | 1.3939 | 138 | 0.5653 | 0.5930 | 0.5653 | 0.7519 |
| No log | 1.4141 | 140 | 0.5424 | 0.6368 | 0.5424 | 0.7365 |
| No log | 1.4343 | 142 | 0.6257 | 0.6163 | 0.6257 | 0.7910 |
| No log | 1.4545 | 144 | 0.9229 | 0.4740 | 0.9229 | 0.9607 |
| No log | 1.4747 | 146 | 0.9626 | 0.4129 | 0.9626 | 0.9811 |
| No log | 1.4949 | 148 | 0.8675 | 0.3682 | 0.8675 | 0.9314 |
| No log | 1.5152 | 150 | 0.8801 | 0.2882 | 0.8801 | 0.9381 |
| No log | 1.5354 | 152 | 0.8192 | 0.3050 | 0.8192 | 0.9051 |
| No log | 1.5556 | 154 | 0.7076 | 0.3616 | 0.7076 | 0.8412 |
| No log | 1.5758 | 156 | 0.6195 | 0.4366 | 0.6195 | 0.7871 |
| No log | 1.5960 | 158 | 0.5819 | 0.5847 | 0.5819 | 0.7628 |
| No log | 1.6162 | 160 | 0.5775 | 0.6515 | 0.5775 | 0.7599 |
| No log | 1.6364 | 162 | 0.6608 | 0.6197 | 0.6608 | 0.8129 |
| No log | 1.6566 | 164 | 0.7693 | 0.5788 | 0.7693 | 0.8771 |
| No log | 1.6768 | 166 | 0.7804 | 0.5864 | 0.7804 | 0.8834 |
| No log | 1.6970 | 168 | 0.6908 | 0.6237 | 0.6908 | 0.8311 |
| No log | 1.7172 | 170 | 0.6364 | 0.6200 | 0.6364 | 0.7977 |
| No log | 1.7374 | 172 | 0.5606 | 0.6180 | 0.5606 | 0.7487 |
| No log | 1.7576 | 174 | 0.5387 | 0.6213 | 0.5387 | 0.7339 |
| No log | 1.7778 | 176 | 0.5461 | 0.6376 | 0.5461 | 0.7390 |
| No log | 1.7980 | 178 | 0.5569 | 0.6289 | 0.5569 | 0.7462 |
| No log | 1.8182 | 180 | 0.6621 | 0.5448 | 0.6621 | 0.8137 |
| No log | 1.8384 | 182 | 0.9491 | 0.4308 | 0.9491 | 0.9742 |
| No log | 1.8586 | 184 | 1.1170 | 0.3868 | 1.1170 | 1.0569 |
| No log | 1.8788 | 186 | 1.0276 | 0.4114 | 1.0276 | 1.0137 |
| No log | 1.8990 | 188 | 0.8119 | 0.4457 | 0.8119 | 0.9010 |
| No log | 1.9192 | 190 | 0.5863 | 0.5680 | 0.5863 | 0.7657 |
| No log | 1.9394 | 192 | 0.5041 | 0.6458 | 0.5041 | 0.7100 |
| No log | 1.9596 | 194 | 0.5001 | 0.6036 | 0.5001 | 0.7072 |
| No log | 1.9798 | 196 | 0.4987 | 0.6188 | 0.4987 | 0.7062 |
| No log | 2.0 | 198 | 0.6112 | 0.5217 | 0.6112 | 0.7818 |
| No log | 2.0202 | 200 | 0.8518 | 0.4263 | 0.8518 | 0.9229 |
| No log | 2.0404 | 202 | 0.9952 | 0.4017 | 0.9952 | 0.9976 |
| No log | 2.0606 | 204 | 1.0115 | 0.4025 | 1.0115 | 1.0057 |
| No log | 2.0808 | 206 | 0.8517 | 0.4047 | 0.8517 | 0.9229 |
| No log | 2.1010 | 208 | 0.6378 | 0.5148 | 0.6378 | 0.7986 |
| No log | 2.1212 | 210 | 0.5423 | 0.6080 | 0.5423 | 0.7364 |
| No log | 2.1414 | 212 | 0.5301 | 0.6226 | 0.5301 | 0.7281 |
| No log | 2.1616 | 214 | 0.5391 | 0.6306 | 0.5391 | 0.7342 |
| No log | 2.1818 | 216 | 0.5636 | 0.6278 | 0.5636 | 0.7507 |
| No log | 2.2020 | 218 | 0.6132 | 0.5218 | 0.6132 | 0.7831 |
| No log | 2.2222 | 220 | 0.6496 | 0.5393 | 0.6496 | 0.8060 |
| No log | 2.2424 | 222 | 0.6348 | 0.5798 | 0.6348 | 0.7968 |
| No log | 2.2626 | 224 | 0.6422 | 0.5727 | 0.6422 | 0.8014 |
| No log | 2.2828 | 226 | 0.5769 | 0.6163 | 0.5769 | 0.7595 |
| No log | 2.3030 | 228 | 0.5454 | 0.6383 | 0.5454 | 0.7385 |
| No log | 2.3232 | 230 | 0.5983 | 0.6179 | 0.5983 | 0.7735 |
| No log | 2.3434 | 232 | 0.6365 | 0.5899 | 0.6365 | 0.7978 |
| No log | 2.3636 | 234 | 0.7032 | 0.5715 | 0.7032 | 0.8386 |
| No log | 2.3838 | 236 | 0.6467 | 0.6055 | 0.6467 | 0.8042 |
| No log | 2.4040 | 238 | 0.6618 | 0.5570 | 0.6618 | 0.8135 |
| No log | 2.4242 | 240 | 0.7326 | 0.5313 | 0.7326 | 0.8559 |
| No log | 2.4444 | 242 | 0.7653 | 0.5062 | 0.7653 | 0.8748 |
| No log | 2.4646 | 244 | 0.7849 | 0.5098 | 0.7849 | 0.8859 |
| No log | 2.4848 | 246 | 0.8622 | 0.5059 | 0.8622 | 0.9285 |
| No log | 2.5051 | 248 | 0.6836 | 0.5651 | 0.6836 | 0.8268 |
| No log | 2.5253 | 250 | 0.5455 | 0.6528 | 0.5455 | 0.7386 |
| No log | 2.5455 | 252 | 0.5205 | 0.7104 | 0.5205 | 0.7215 |
| No log | 2.5657 | 254 | 0.5215 | 0.6931 | 0.5215 | 0.7222 |
| No log | 2.5859 | 256 | 0.6165 | 0.5772 | 0.6165 | 0.7852 |
| No log | 2.6061 | 258 | 0.5917 | 0.5789 | 0.5917 | 0.7692 |
| No log | 2.6263 | 260 | 0.5687 | 0.6056 | 0.5687 | 0.7541 |
| No log | 2.6465 | 262 | 0.5365 | 0.6648 | 0.5365 | 0.7324 |
| No log | 2.6667 | 264 | 0.5402 | 0.6674 | 0.5402 | 0.7350 |
| No log | 2.6869 | 266 | 0.5750 | 0.6219 | 0.5750 | 0.7583 |
| No log | 2.7071 | 268 | 0.5831 | 0.6213 | 0.5831 | 0.7636 |
| No log | 2.7273 | 270 | 0.5139 | 0.6493 | 0.5139 | 0.7168 |
| No log | 2.7475 | 272 | 0.5196 | 0.6633 | 0.5196 | 0.7209 |
| No log | 2.7677 | 274 | 0.5262 | 0.6585 | 0.5262 | 0.7254 |
| No log | 2.7879 | 276 | 0.5101 | 0.6615 | 0.5101 | 0.7142 |
| No log | 2.8081 | 278 | 0.5417 | 0.6379 | 0.5417 | 0.7360 |
| No log | 2.8283 | 280 | 0.6072 | 0.6038 | 0.6072 | 0.7793 |
| No log | 2.8485 | 282 | 0.7814 | 0.5119 | 0.7814 | 0.8839 |
| No log | 2.8687 | 284 | 0.8375 | 0.4621 | 0.8375 | 0.9152 |
| No log | 2.8889 | 286 | 0.7040 | 0.4843 | 0.7040 | 0.8390 |
| No log | 2.9091 | 288 | 0.5452 | 0.5967 | 0.5452 | 0.7384 |
| No log | 2.9293 | 290 | 0.5068 | 0.6396 | 0.5068 | 0.7119 |
| No log | 2.9495 | 292 | 0.5138 | 0.6217 | 0.5138 | 0.7168 |
| No log | 2.9697 | 294 | 0.4974 | 0.6450 | 0.4974 | 0.7053 |
| No log | 2.9899 | 296 | 0.5627 | 0.5746 | 0.5627 | 0.7502 |
| No log | 3.0101 | 298 | 0.7295 | 0.5013 | 0.7295 | 0.8541 |
| No log | 3.0303 | 300 | 0.8356 | 0.5049 | 0.8356 | 0.9141 |
| No log | 3.0505 | 302 | 0.7753 | 0.5118 | 0.7753 | 0.8805 |
| No log | 3.0707 | 304 | 0.6846 | 0.5536 | 0.6846 | 0.8274 |
| No log | 3.0909 | 306 | 0.5385 | 0.6199 | 0.5385 | 0.7338 |
| No log | 3.1111 | 308 | 0.5071 | 0.6561 | 0.5071 | 0.7121 |
| No log | 3.1313 | 310 | 0.5143 | 0.6647 | 0.5143 | 0.7172 |
| No log | 3.1515 | 312 | 0.5466 | 0.6369 | 0.5466 | 0.7393 |
| No log | 3.1717 | 314 | 0.7019 | 0.5511 | 0.7019 | 0.8378 |
| No log | 3.1919 | 316 | 0.7837 | 0.4970 | 0.7837 | 0.8853 |
| No log | 3.2121 | 318 | 0.7284 | 0.5002 | 0.7284 | 0.8535 |
| No log | 3.2323 | 320 | 0.6626 | 0.4889 | 0.6626 | 0.8140 |
| No log | 3.2525 | 322 | 0.6234 | 0.5464 | 0.6234 | 0.7896 |
| No log | 3.2727 | 324 | 0.5535 | 0.6353 | 0.5535 | 0.7440 |
| No log | 3.2929 | 326 | 0.5547 | 0.6518 | 0.5547 | 0.7448 |
| No log | 3.3131 | 328 | 0.5456 | 0.6543 | 0.5456 | 0.7386 |
| No log | 3.3333 | 330 | 0.5715 | 0.6091 | 0.5715 | 0.7560 |
| No log | 3.3535 | 332 | 0.7431 | 0.5692 | 0.7431 | 0.8620 |
| No log | 3.3737 | 334 | 0.8491 | 0.5427 | 0.8491 | 0.9214 |
| No log | 3.3939 | 336 | 0.7505 | 0.5756 | 0.7505 | 0.8663 |
| No log | 3.4141 | 338 | 0.6251 | 0.6375 | 0.6251 | 0.7907 |
| No log | 3.4343 | 340 | 0.6228 | 0.6379 | 0.6228 | 0.7892 |
| No log | 3.4545 | 342 | 0.7063 | 0.5736 | 0.7063 | 0.8404 |
| No log | 3.4747 | 344 | 0.7545 | 0.5069 | 0.7545 | 0.8686 |
| No log | 3.4949 | 346 | 0.6721 | 0.5250 | 0.6721 | 0.8198 |
| No log | 3.5152 | 348 | 0.5940 | 0.5858 | 0.5940 | 0.7707 |
| No log | 3.5354 | 350 | 0.5540 | 0.6158 | 0.5540 | 0.7443 |
| No log | 3.5556 | 352 | 0.4976 | 0.6233 | 0.4976 | 0.7054 |
| No log | 3.5758 | 354 | 0.4931 | 0.6618 | 0.4931 | 0.7022 |
| No log | 3.5960 | 356 | 0.5244 | 0.6686 | 0.5244 | 0.7241 |
| No log | 3.6162 | 358 | 0.6516 | 0.5930 | 0.6516 | 0.8072 |
| No log | 3.6364 | 360 | 0.7216 | 0.5860 | 0.7216 | 0.8495 |
| No log | 3.6566 | 362 | 0.7013 | 0.5851 | 0.7013 | 0.8374 |
| No log | 3.6768 | 364 | 0.6782 | 0.6190 | 0.6782 | 0.8235 |
| No log | 3.6970 | 366 | 0.5630 | 0.6564 | 0.5630 | 0.7503 |
| No log | 3.7172 | 368 | 0.5299 | 0.6753 | 0.5299 | 0.7279 |
| No log | 3.7374 | 370 | 0.5338 | 0.6586 | 0.5338 | 0.7306 |
| No log | 3.7576 | 372 | 0.5443 | 0.6242 | 0.5443 | 0.7378 |
| No log | 3.7778 | 374 | 0.5804 | 0.5983 | 0.5804 | 0.7618 |
| No log | 3.7980 | 376 | 0.6050 | 0.5953 | 0.6050 | 0.7778 |
| No log | 3.8182 | 378 | 0.5503 | 0.6399 | 0.5503 | 0.7418 |
| No log | 3.8384 | 380 | 0.4983 | 0.6654 | 0.4983 | 0.7059 |
| No log | 3.8586 | 382 | 0.4848 | 0.6469 | 0.4848 | 0.6963 |
| No log | 3.8788 | 384 | 0.5111 | 0.6280 | 0.5111 | 0.7149 |
| No log | 3.8990 | 386 | 0.5853 | 0.5841 | 0.5853 | 0.7651 |
| No log | 3.9192 | 388 | 0.6641 | 0.5336 | 0.6641 | 0.8150 |
| No log | 3.9394 | 390 | 0.6720 | 0.5475 | 0.6720 | 0.8197 |
| No log | 3.9596 | 392 | 0.5882 | 0.6217 | 0.5882 | 0.7669 |
| No log | 3.9798 | 394 | 0.5329 | 0.6749 | 0.5329 | 0.7300 |
| No log | 4.0 | 396 | 0.5446 | 0.6623 | 0.5446 | 0.7380 |
| No log | 4.0202 | 398 | 0.5276 | 0.6637 | 0.5276 | 0.7264 |
| No log | 4.0404 | 400 | 0.5509 | 0.6534 | 0.5509 | 0.7422 |
| No log | 4.0606 | 402 | 0.5937 | 0.6243 | 0.5937 | 0.7705 |
| No log | 4.0808 | 404 | 0.5930 | 0.6052 | 0.5930 | 0.7700 |
| No log | 4.1010 | 406 | 0.5499 | 0.6457 | 0.5499 | 0.7416 |
| No log | 4.1212 | 408 | 0.5322 | 0.6796 | 0.5322 | 0.7295 |
| No log | 4.1414 | 410 | 0.5445 | 0.6366 | 0.5445 | 0.7379 |
| No log | 4.1616 | 412 | 0.5389 | 0.6413 | 0.5389 | 0.7341 |
| No log | 4.1818 | 414 | 0.5292 | 0.6136 | 0.5292 | 0.7275 |
| No log | 4.2020 | 416 | 0.5515 | 0.6118 | 0.5515 | 0.7427 |
| No log | 4.2222 | 418 | 0.5571 | 0.6003 | 0.5571 | 0.7464 |
| No log | 4.2424 | 420 | 0.5783 | 0.6083 | 0.5783 | 0.7605 |
| No log | 4.2626 | 422 | 0.6579 | 0.5266 | 0.6579 | 0.8111 |
| No log | 4.2828 | 424 | 0.7728 | 0.4997 | 0.7728 | 0.8791 |
| No log | 4.3030 | 426 | 0.8254 | 0.5064 | 0.8254 | 0.9085 |
| No log | 4.3232 | 428 | 0.6786 | 0.5913 | 0.6786 | 0.8238 |
| No log | 4.3434 | 430 | 0.6127 | 0.6620 | 0.6127 | 0.7828 |
| No log | 4.3636 | 432 | 0.5379 | 0.6827 | 0.5379 | 0.7334 |
| No log | 4.3838 | 434 | 0.5790 | 0.6308 | 0.5790 | 0.7609 |
| No log | 4.4040 | 436 | 0.7856 | 0.5031 | 0.7856 | 0.8863 |
| No log | 4.4242 | 438 | 1.0101 | 0.4137 | 1.0101 | 1.0050 |
| No log | 4.4444 | 440 | 0.9490 | 0.4196 | 0.9490 | 0.9742 |
| No log | 4.4646 | 442 | 0.6945 | 0.5454 | 0.6945 | 0.8333 |
| No log | 4.4848 | 444 | 0.4930 | 0.6505 | 0.4930 | 0.7022 |
| No log | 4.5051 | 446 | 0.4982 | 0.6436 | 0.4982 | 0.7058 |
| No log | 4.5253 | 448 | 0.4962 | 0.6387 | 0.4962 | 0.7044 |
| No log | 4.5455 | 450 | 0.4992 | 0.6301 | 0.4992 | 0.7066 |
| No log | 4.5657 | 452 | 0.5726 | 0.6390 | 0.5726 | 0.7567 |
| No log | 4.5859 | 454 | 0.6681 | 0.6146 | 0.6681 | 0.8174 |
| No log | 4.6061 | 456 | 0.6627 | 0.5674 | 0.6627 | 0.8141 |
| No log | 4.6263 | 458 | 0.6111 | 0.6073 | 0.6111 | 0.7817 |
| No log | 4.6465 | 460 | 0.5460 | 0.6625 | 0.5460 | 0.7389 |
| No log | 4.6667 | 462 | 0.5326 | 0.6865 | 0.5326 | 0.7298 |
| No log | 4.6869 | 464 | 0.5196 | 0.6822 | 0.5196 | 0.7208 |
| No log | 4.7071 | 466 | 0.5701 | 0.6151 | 0.5701 | 0.7550 |
| No log | 4.7273 | 468 | 0.5705 | 0.6115 | 0.5705 | 0.7553 |
| No log | 4.7475 | 470 | 0.5705 | 0.5856 | 0.5705 | 0.7553 |
| No log | 4.7677 | 472 | 0.6239 | 0.5577 | 0.6239 | 0.7898 |
| No log | 4.7879 | 474 | 0.8004 | 0.5118 | 0.8004 | 0.8946 |
| No log | 4.8081 | 476 | 0.9206 | 0.4838 | 0.9206 | 0.9595 |
| No log | 4.8283 | 478 | 0.8521 | 0.5289 | 0.8521 | 0.9231 |
| No log | 4.8485 | 480 | 0.7690 | 0.6133 | 0.7690 | 0.8769 |
| No log | 4.8687 | 482 | 0.6569 | 0.6158 | 0.6569 | 0.8105 |
| No log | 4.8889 | 484 | 0.5814 | 0.6426 | 0.5814 | 0.7625 |
| No log | 4.9091 | 486 | 0.5785 | 0.6212 | 0.5785 | 0.7606 |
| No log | 4.9293 | 488 | 0.6568 | 0.5166 | 0.6568 | 0.8104 |
| No log | 4.9495 | 490 | 0.6658 | 0.5226 | 0.6658 | 0.8159 |
| No log | 4.9697 | 492 | 0.6055 | 0.5284 | 0.6055 | 0.7782 |
| No log | 4.9899 | 494 | 0.5939 | 0.5511 | 0.5939 | 0.7706 |
| No log | 5.0101 | 496 | 0.5528 | 0.5822 | 0.5528 | 0.7435 |
| No log | 5.0303 | 498 | 0.5732 | 0.5964 | 0.5732 | 0.7571 |
| 0.4876 | 5.0505 | 500 | 0.6873 | 0.6186 | 0.6873 | 0.8290 |
| 0.4876 | 5.0707 | 502 | 0.8884 | 0.6061 | 0.8884 | 0.9426 |
| 0.4876 | 5.0909 | 504 | 0.8593 | 0.6336 | 0.8593 | 0.9270 |
| 0.4876 | 5.1111 | 506 | 0.8956 | 0.6180 | 0.8956 | 0.9464 |
| 0.4876 | 5.1313 | 508 | 0.7881 | 0.6336 | 0.7881 | 0.8877 |
| 0.4876 | 5.1515 | 510 | 0.5734 | 0.6585 | 0.5734 | 0.7572 |
| 0.4876 | 5.1717 | 512 | 0.4950 | 0.6904 | 0.4950 | 0.7036 |
| 0.4876 | 5.1919 | 514 | 0.5015 | 0.6835 | 0.5015 | 0.7081 |
| 0.4876 | 5.2121 | 516 | 0.5933 | 0.6268 | 0.5933 | 0.7703 |
| 0.4876 | 5.2323 | 518 | 0.7506 | 0.5706 | 0.7506 | 0.8663 |
| 0.4876 | 5.2525 | 520 | 0.7081 | 0.6079 | 0.7081 | 0.8415 |
| 0.4876 | 5.2727 | 522 | 0.5472 | 0.6717 | 0.5472 | 0.7397 |
| 0.4876 | 5.2929 | 524 | 0.5032 | 0.6665 | 0.5032 | 0.7094 |
| 0.4876 | 5.3131 | 526 | 0.4883 | 0.6676 | 0.4883 | 0.6988 |
| 0.4876 | 5.3333 | 528 | 0.5352 | 0.6655 | 0.5352 | 0.7316 |
| 0.4876 | 5.3535 | 530 | 0.7012 | 0.5468 | 0.7012 | 0.8374 |
| 0.4876 | 5.3737 | 532 | 0.7671 | 0.5028 | 0.7671 | 0.8758 |
| 0.4876 | 5.3939 | 534 | 0.6626 | 0.5728 | 0.6626 | 0.8140 |
| 0.4876 | 5.4141 | 536 | 0.5954 | 0.6111 | 0.5954 | 0.7716 |
| 0.4876 | 5.4343 | 538 | 0.5575 | 0.6613 | 0.5575 | 0.7467 |
| 0.4876 | 5.4545 | 540 | 0.5687 | 0.6405 | 0.5687 | 0.7541 |
| 0.4876 | 5.4747 | 542 | 0.6631 | 0.6029 | 0.6631 | 0.8143 |
| 0.4876 | 5.4949 | 544 | 0.8537 | 0.5212 | 0.8537 | 0.9240 |
| 0.4876 | 5.5152 | 546 | 0.8623 | 0.5287 | 0.8623 | 0.9286 |
| 0.4876 | 5.5354 | 548 | 0.7179 | 0.5904 | 0.7179 | 0.8473 |
| 0.4876 | 5.5556 | 550 | 0.5310 | 0.6952 | 0.5310 | 0.7287 |
| 0.4876 | 5.5758 | 552 | 0.5100 | 0.6914 | 0.5100 | 0.7142 |
| 0.4876 | 5.5960 | 554 | 0.5379 | 0.6800 | 0.5379 | 0.7334 |
| 0.4876 | 5.6162 | 556 | 0.6673 | 0.5900 | 0.6673 | 0.8169 |
| 0.4876 | 5.6364 | 558 | 0.8003 | 0.5491 | 0.8003 | 0.8946 |
| 0.4876 | 5.6566 | 560 | 0.7417 | 0.5467 | 0.7417 | 0.8612 |
| 0.4876 | 5.6768 | 562 | 0.6314 | 0.5719 | 0.6314 | 0.7946 |
| 0.4876 | 5.6970 | 564 | 0.5691 | 0.5934 | 0.5691 | 0.7544 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask7_style
Base model
aubmindlab/bert-base-arabertv02