ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k19_task1_organization
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: 0.8953
- Qwk: 0.6310
- Mse: 0.8953
- Rmse: 0.9462
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 | 0.0217 | 2 | 5.4499 | 0.0060 | 5.4499 | 2.3345 |
No log | 0.0435 | 4 | 3.3724 | 0.0629 | 3.3724 | 1.8364 |
No log | 0.0652 | 6 | 2.3352 | -0.0712 | 2.3352 | 1.5281 |
No log | 0.0870 | 8 | 2.6157 | -0.0878 | 2.6157 | 1.6173 |
No log | 0.1087 | 10 | 1.7444 | 0.0139 | 1.7444 | 1.3208 |
No log | 0.1304 | 12 | 1.5661 | -0.0045 | 1.5661 | 1.2515 |
No log | 0.1522 | 14 | 1.3082 | 0.1369 | 1.3082 | 1.1438 |
No log | 0.1739 | 16 | 1.1941 | 0.1941 | 1.1941 | 1.0927 |
No log | 0.1957 | 18 | 1.3025 | 0.1161 | 1.3025 | 1.1413 |
No log | 0.2174 | 20 | 1.4922 | 0.0302 | 1.4922 | 1.2216 |
No log | 0.2391 | 22 | 1.5103 | 0.0440 | 1.5103 | 1.2289 |
No log | 0.2609 | 24 | 1.4271 | 0.1372 | 1.4271 | 1.1946 |
No log | 0.2826 | 26 | 1.5068 | 0.1406 | 1.5068 | 1.2275 |
No log | 0.3043 | 28 | 1.4679 | 0.1336 | 1.4679 | 1.2116 |
No log | 0.3261 | 30 | 1.2553 | 0.2568 | 1.2553 | 1.1204 |
No log | 0.3478 | 32 | 1.1750 | 0.3199 | 1.1750 | 1.0840 |
No log | 0.3696 | 34 | 1.2857 | 0.2838 | 1.2857 | 1.1339 |
No log | 0.3913 | 36 | 1.2365 | 0.2866 | 1.2365 | 1.1120 |
No log | 0.4130 | 38 | 1.1940 | 0.3174 | 1.1940 | 1.0927 |
No log | 0.4348 | 40 | 1.2162 | 0.3315 | 1.2162 | 1.1028 |
No log | 0.4565 | 42 | 1.3430 | 0.3476 | 1.3430 | 1.1589 |
No log | 0.4783 | 44 | 1.0822 | 0.3536 | 1.0822 | 1.0403 |
No log | 0.5 | 46 | 1.0232 | 0.3984 | 1.0232 | 1.0115 |
No log | 0.5217 | 48 | 1.0265 | 0.3645 | 1.0265 | 1.0132 |
No log | 0.5435 | 50 | 1.0117 | 0.3816 | 1.0117 | 1.0058 |
No log | 0.5652 | 52 | 1.0444 | 0.4140 | 1.0444 | 1.0219 |
No log | 0.5870 | 54 | 1.1067 | 0.3885 | 1.1067 | 1.0520 |
No log | 0.6087 | 56 | 1.0896 | 0.4041 | 1.0896 | 1.0438 |
No log | 0.6304 | 58 | 1.0558 | 0.3905 | 1.0558 | 1.0275 |
No log | 0.6522 | 60 | 1.0863 | 0.3947 | 1.0863 | 1.0423 |
No log | 0.6739 | 62 | 1.2683 | 0.3589 | 1.2683 | 1.1262 |
No log | 0.6957 | 64 | 1.2027 | 0.3903 | 1.2027 | 1.0967 |
No log | 0.7174 | 66 | 0.9521 | 0.4298 | 0.9521 | 0.9758 |
No log | 0.7391 | 68 | 0.8959 | 0.4030 | 0.8959 | 0.9465 |
No log | 0.7609 | 70 | 0.8674 | 0.4861 | 0.8674 | 0.9313 |
No log | 0.7826 | 72 | 1.1526 | 0.4808 | 1.1526 | 1.0736 |
No log | 0.8043 | 74 | 1.3034 | 0.375 | 1.3034 | 1.1417 |
No log | 0.8261 | 76 | 0.9520 | 0.5238 | 0.9520 | 0.9757 |
No log | 0.8478 | 78 | 0.8189 | 0.5340 | 0.8189 | 0.9049 |
No log | 0.8696 | 80 | 0.8792 | 0.5560 | 0.8792 | 0.9377 |
No log | 0.8913 | 82 | 0.7730 | 0.5707 | 0.7730 | 0.8792 |
No log | 0.9130 | 84 | 0.8352 | 0.5901 | 0.8352 | 0.9139 |
No log | 0.9348 | 86 | 0.8918 | 0.5809 | 0.8918 | 0.9443 |
No log | 0.9565 | 88 | 0.7612 | 0.5962 | 0.7612 | 0.8725 |
No log | 0.9783 | 90 | 0.7655 | 0.4979 | 0.7655 | 0.8750 |
No log | 1.0 | 92 | 0.8264 | 0.5273 | 0.8264 | 0.9091 |
No log | 1.0217 | 94 | 0.9179 | 0.5021 | 0.9179 | 0.9581 |
No log | 1.0435 | 96 | 0.8525 | 0.5393 | 0.8525 | 0.9233 |
No log | 1.0652 | 98 | 0.8242 | 0.5764 | 0.8242 | 0.9079 |
No log | 1.0870 | 100 | 0.8623 | 0.6398 | 0.8623 | 0.9286 |
No log | 1.1087 | 102 | 0.8603 | 0.6415 | 0.8603 | 0.9275 |
No log | 1.1304 | 104 | 0.8803 | 0.6391 | 0.8803 | 0.9383 |
No log | 1.1522 | 106 | 0.9499 | 0.6323 | 0.9499 | 0.9746 |
No log | 1.1739 | 108 | 1.0386 | 0.5921 | 1.0386 | 1.0191 |
No log | 1.1957 | 110 | 0.9862 | 0.5561 | 0.9862 | 0.9931 |
No log | 1.2174 | 112 | 0.8603 | 0.6126 | 0.8603 | 0.9275 |
No log | 1.2391 | 114 | 0.8023 | 0.6345 | 0.8023 | 0.8957 |
No log | 1.2609 | 116 | 0.7986 | 0.6422 | 0.7986 | 0.8937 |
No log | 1.2826 | 118 | 0.8948 | 0.5943 | 0.8948 | 0.9459 |
No log | 1.3043 | 120 | 0.9439 | 0.5638 | 0.9439 | 0.9715 |
No log | 1.3261 | 122 | 0.7703 | 0.6358 | 0.7703 | 0.8777 |
No log | 1.3478 | 124 | 0.7782 | 0.6222 | 0.7782 | 0.8822 |
No log | 1.3696 | 126 | 0.7700 | 0.6291 | 0.7700 | 0.8775 |
No log | 1.3913 | 128 | 0.7154 | 0.5734 | 0.7154 | 0.8458 |
No log | 1.4130 | 130 | 0.9798 | 0.5354 | 0.9798 | 0.9898 |
No log | 1.4348 | 132 | 1.0229 | 0.5437 | 1.0229 | 1.0114 |
No log | 1.4565 | 134 | 0.9301 | 0.5990 | 0.9301 | 0.9644 |
No log | 1.4783 | 136 | 0.9355 | 0.6111 | 0.9355 | 0.9672 |
No log | 1.5 | 138 | 1.0716 | 0.5424 | 1.0716 | 1.0352 |
No log | 1.5217 | 140 | 1.0307 | 0.5570 | 1.0307 | 1.0153 |
No log | 1.5435 | 142 | 1.0169 | 0.5716 | 1.0169 | 1.0084 |
No log | 1.5652 | 144 | 0.9038 | 0.6087 | 0.9038 | 0.9507 |
No log | 1.5870 | 146 | 0.8592 | 0.6094 | 0.8592 | 0.9269 |
No log | 1.6087 | 148 | 0.9373 | 0.5714 | 0.9373 | 0.9682 |
No log | 1.6304 | 150 | 0.8392 | 0.5997 | 0.8392 | 0.9161 |
No log | 1.6522 | 152 | 0.7727 | 0.5931 | 0.7727 | 0.8791 |
No log | 1.6739 | 154 | 0.7300 | 0.6285 | 0.7300 | 0.8544 |
No log | 1.6957 | 156 | 0.7345 | 0.6139 | 0.7345 | 0.8570 |
No log | 1.7174 | 158 | 0.7574 | 0.6250 | 0.7574 | 0.8703 |
No log | 1.7391 | 160 | 0.7274 | 0.6498 | 0.7274 | 0.8529 |
No log | 1.7609 | 162 | 0.7268 | 0.6357 | 0.7268 | 0.8525 |
No log | 1.7826 | 164 | 0.7611 | 0.5890 | 0.7611 | 0.8724 |
No log | 1.8043 | 166 | 0.8420 | 0.5862 | 0.8420 | 0.9176 |
No log | 1.8261 | 168 | 0.8124 | 0.6086 | 0.8124 | 0.9013 |
No log | 1.8478 | 170 | 0.8741 | 0.6053 | 0.8741 | 0.9349 |
No log | 1.8696 | 172 | 0.7075 | 0.6537 | 0.7075 | 0.8411 |
No log | 1.8913 | 174 | 0.6805 | 0.6501 | 0.6805 | 0.8249 |
No log | 1.9130 | 176 | 0.6778 | 0.6687 | 0.6778 | 0.8233 |
No log | 1.9348 | 178 | 0.6681 | 0.6671 | 0.6681 | 0.8173 |
No log | 1.9565 | 180 | 0.8725 | 0.6178 | 0.8725 | 0.9341 |
No log | 1.9783 | 182 | 0.8908 | 0.5820 | 0.8908 | 0.9438 |
No log | 2.0 | 184 | 0.7654 | 0.6784 | 0.7654 | 0.8749 |
No log | 2.0217 | 186 | 0.7054 | 0.6896 | 0.7054 | 0.8399 |
No log | 2.0435 | 188 | 0.7355 | 0.7011 | 0.7355 | 0.8576 |
No log | 2.0652 | 190 | 0.7456 | 0.6873 | 0.7456 | 0.8635 |
No log | 2.0870 | 192 | 0.8244 | 0.6427 | 0.8244 | 0.9080 |
No log | 2.1087 | 194 | 0.8502 | 0.6315 | 0.8502 | 0.9221 |
No log | 2.1304 | 196 | 0.9401 | 0.5909 | 0.9401 | 0.9696 |
No log | 2.1522 | 198 | 0.7754 | 0.6377 | 0.7754 | 0.8805 |
No log | 2.1739 | 200 | 0.6460 | 0.6598 | 0.6460 | 0.8037 |
No log | 2.1957 | 202 | 0.6850 | 0.6604 | 0.6850 | 0.8277 |
No log | 2.2174 | 204 | 0.6491 | 0.6563 | 0.6491 | 0.8057 |
No log | 2.2391 | 206 | 0.7570 | 0.6604 | 0.7570 | 0.8700 |
No log | 2.2609 | 208 | 1.0338 | 0.5485 | 1.0338 | 1.0168 |
No log | 2.2826 | 210 | 1.0287 | 0.5485 | 1.0287 | 1.0143 |
No log | 2.3043 | 212 | 0.8185 | 0.6371 | 0.8185 | 0.9047 |
No log | 2.3261 | 214 | 0.7027 | 0.6634 | 0.7027 | 0.8383 |
No log | 2.3478 | 216 | 0.7277 | 0.6704 | 0.7277 | 0.8530 |
No log | 2.3696 | 218 | 0.8580 | 0.6456 | 0.8580 | 0.9263 |
No log | 2.3913 | 220 | 0.9889 | 0.5878 | 0.9889 | 0.9944 |
No log | 2.4130 | 222 | 1.1221 | 0.5143 | 1.1221 | 1.0593 |
No log | 2.4348 | 224 | 0.9647 | 0.5731 | 0.9647 | 0.9822 |
No log | 2.4565 | 226 | 0.7595 | 0.6366 | 0.7595 | 0.8715 |
No log | 2.4783 | 228 | 0.6814 | 0.6423 | 0.6814 | 0.8255 |
No log | 2.5 | 230 | 0.7302 | 0.5653 | 0.7302 | 0.8545 |
No log | 2.5217 | 232 | 0.8086 | 0.6062 | 0.8086 | 0.8992 |
No log | 2.5435 | 234 | 0.8034 | 0.6042 | 0.8034 | 0.8964 |
No log | 2.5652 | 236 | 0.7471 | 0.6311 | 0.7471 | 0.8643 |
No log | 2.5870 | 238 | 0.7299 | 0.6418 | 0.7299 | 0.8543 |
No log | 2.6087 | 240 | 0.7589 | 0.6131 | 0.7589 | 0.8712 |
No log | 2.6304 | 242 | 0.8637 | 0.6073 | 0.8637 | 0.9293 |
No log | 2.6522 | 244 | 0.8340 | 0.6012 | 0.8340 | 0.9132 |
No log | 2.6739 | 246 | 0.7641 | 0.6230 | 0.7641 | 0.8741 |
No log | 2.6957 | 248 | 0.7144 | 0.6162 | 0.7144 | 0.8452 |
No log | 2.7174 | 250 | 0.7061 | 0.6581 | 0.7061 | 0.8403 |
No log | 2.7391 | 252 | 0.7141 | 0.6537 | 0.7141 | 0.8451 |
No log | 2.7609 | 254 | 0.6944 | 0.6659 | 0.6944 | 0.8333 |
No log | 2.7826 | 256 | 0.8054 | 0.6164 | 0.8054 | 0.8974 |
No log | 2.8043 | 258 | 1.0727 | 0.5315 | 1.0727 | 1.0357 |
No log | 2.8261 | 260 | 1.0744 | 0.5212 | 1.0744 | 1.0365 |
No log | 2.8478 | 262 | 0.8808 | 0.5924 | 0.8808 | 0.9385 |
No log | 2.8696 | 264 | 0.6663 | 0.6632 | 0.6663 | 0.8163 |
No log | 2.8913 | 266 | 0.6414 | 0.6951 | 0.6414 | 0.8009 |
No log | 2.9130 | 268 | 0.6374 | 0.7282 | 0.6374 | 0.7984 |
No log | 2.9348 | 270 | 0.6644 | 0.6730 | 0.6644 | 0.8151 |
No log | 2.9565 | 272 | 0.7451 | 0.6655 | 0.7451 | 0.8632 |
No log | 2.9783 | 274 | 0.8111 | 0.6305 | 0.8111 | 0.9006 |
No log | 3.0 | 276 | 0.7530 | 0.6525 | 0.7530 | 0.8677 |
No log | 3.0217 | 278 | 0.6330 | 0.7001 | 0.6330 | 0.7956 |
No log | 3.0435 | 280 | 0.6051 | 0.6747 | 0.6051 | 0.7779 |
No log | 3.0652 | 282 | 0.6103 | 0.6858 | 0.6103 | 0.7812 |
No log | 3.0870 | 284 | 0.7022 | 0.7015 | 0.7022 | 0.8380 |
No log | 3.1087 | 286 | 0.7630 | 0.6579 | 0.7630 | 0.8735 |
No log | 3.1304 | 288 | 0.7207 | 0.6791 | 0.7207 | 0.8489 |
No log | 3.1522 | 290 | 0.6287 | 0.6772 | 0.6287 | 0.7929 |
No log | 3.1739 | 292 | 0.6596 | 0.6804 | 0.6596 | 0.8121 |
No log | 3.1957 | 294 | 0.8196 | 0.6245 | 0.8196 | 0.9053 |
No log | 3.2174 | 296 | 1.0051 | 0.5683 | 1.0051 | 1.0025 |
No log | 3.2391 | 298 | 0.9261 | 0.5580 | 0.9261 | 0.9623 |
No log | 3.2609 | 300 | 0.7892 | 0.6249 | 0.7892 | 0.8884 |
No log | 3.2826 | 302 | 0.7905 | 0.6116 | 0.7905 | 0.8891 |
No log | 3.3043 | 304 | 0.9098 | 0.5767 | 0.9097 | 0.9538 |
No log | 3.3261 | 306 | 0.9529 | 0.5553 | 0.9529 | 0.9762 |
No log | 3.3478 | 308 | 0.8601 | 0.5833 | 0.8601 | 0.9274 |
No log | 3.3696 | 310 | 0.7473 | 0.6111 | 0.7473 | 0.8645 |
No log | 3.3913 | 312 | 0.7275 | 0.6619 | 0.7275 | 0.8529 |
No log | 3.4130 | 314 | 0.7784 | 0.6144 | 0.7784 | 0.8823 |
No log | 3.4348 | 316 | 0.7679 | 0.6369 | 0.7679 | 0.8763 |
No log | 3.4565 | 318 | 0.7437 | 0.6597 | 0.7437 | 0.8624 |
No log | 3.4783 | 320 | 0.6976 | 0.6857 | 0.6976 | 0.8352 |
No log | 3.5 | 322 | 0.6649 | 0.6995 | 0.6649 | 0.8154 |
No log | 3.5217 | 324 | 0.6994 | 0.6757 | 0.6994 | 0.8363 |
No log | 3.5435 | 326 | 0.7796 | 0.6087 | 0.7796 | 0.8829 |
No log | 3.5652 | 328 | 0.8828 | 0.5910 | 0.8828 | 0.9396 |
No log | 3.5870 | 330 | 0.8984 | 0.6009 | 0.8984 | 0.9479 |
No log | 3.6087 | 332 | 0.7608 | 0.6378 | 0.7608 | 0.8722 |
No log | 3.6304 | 334 | 0.7135 | 0.6788 | 0.7135 | 0.8447 |
No log | 3.6522 | 336 | 0.7968 | 0.6482 | 0.7968 | 0.8927 |
No log | 3.6739 | 338 | 0.7680 | 0.6436 | 0.7680 | 0.8764 |
No log | 3.6957 | 340 | 0.7202 | 0.6498 | 0.7202 | 0.8487 |
No log | 3.7174 | 342 | 0.7037 | 0.6889 | 0.7037 | 0.8389 |
No log | 3.7391 | 344 | 0.7201 | 0.6800 | 0.7201 | 0.8486 |
No log | 3.7609 | 346 | 0.7710 | 0.6471 | 0.7710 | 0.8781 |
No log | 3.7826 | 348 | 0.7863 | 0.6317 | 0.7863 | 0.8867 |
No log | 3.8043 | 350 | 0.7231 | 0.7018 | 0.7231 | 0.8504 |
No log | 3.8261 | 352 | 0.6887 | 0.7068 | 0.6887 | 0.8299 |
No log | 3.8478 | 354 | 0.6534 | 0.6994 | 0.6534 | 0.8084 |
No log | 3.8696 | 356 | 0.6647 | 0.6924 | 0.6647 | 0.8153 |
No log | 3.8913 | 358 | 0.6703 | 0.6670 | 0.6703 | 0.8187 |
No log | 3.9130 | 360 | 0.6566 | 0.6508 | 0.6566 | 0.8103 |
No log | 3.9348 | 362 | 0.6469 | 0.6656 | 0.6469 | 0.8043 |
No log | 3.9565 | 364 | 0.6454 | 0.6556 | 0.6454 | 0.8034 |
No log | 3.9783 | 366 | 0.6360 | 0.6740 | 0.6360 | 0.7975 |
No log | 4.0 | 368 | 0.6617 | 0.7018 | 0.6617 | 0.8134 |
No log | 4.0217 | 370 | 0.7841 | 0.6421 | 0.7841 | 0.8855 |
No log | 4.0435 | 372 | 0.8129 | 0.6321 | 0.8129 | 0.9016 |
No log | 4.0652 | 374 | 0.7676 | 0.6365 | 0.7676 | 0.8761 |
No log | 4.0870 | 376 | 0.7089 | 0.6785 | 0.7089 | 0.8419 |
No log | 4.1087 | 378 | 0.6878 | 0.6695 | 0.6878 | 0.8294 |
No log | 4.1304 | 380 | 0.7413 | 0.6665 | 0.7413 | 0.8610 |
No log | 4.1522 | 382 | 0.7783 | 0.6447 | 0.7783 | 0.8822 |
No log | 4.1739 | 384 | 0.7353 | 0.6676 | 0.7353 | 0.8575 |
No log | 4.1957 | 386 | 0.6939 | 0.6951 | 0.6939 | 0.8330 |
No log | 4.2174 | 388 | 0.6890 | 0.7020 | 0.6890 | 0.8300 |
No log | 4.2391 | 390 | 0.7320 | 0.6794 | 0.7320 | 0.8555 |
No log | 4.2609 | 392 | 0.8067 | 0.6456 | 0.8067 | 0.8982 |
No log | 4.2826 | 394 | 0.7612 | 0.6787 | 0.7612 | 0.8725 |
No log | 4.3043 | 396 | 0.6956 | 0.6746 | 0.6956 | 0.8340 |
No log | 4.3261 | 398 | 0.6728 | 0.6640 | 0.6728 | 0.8202 |
No log | 4.3478 | 400 | 0.6723 | 0.6490 | 0.6723 | 0.8200 |
No log | 4.3696 | 402 | 0.6712 | 0.6391 | 0.6712 | 0.8193 |
No log | 4.3913 | 404 | 0.6921 | 0.6271 | 0.6921 | 0.8319 |
No log | 4.4130 | 406 | 0.7292 | 0.6273 | 0.7292 | 0.8539 |
No log | 4.4348 | 408 | 0.7536 | 0.6381 | 0.7536 | 0.8681 |
No log | 4.4565 | 410 | 0.8094 | 0.6162 | 0.8094 | 0.8997 |
No log | 4.4783 | 412 | 0.8771 | 0.6032 | 0.8771 | 0.9365 |
No log | 4.5 | 414 | 0.8909 | 0.6035 | 0.8909 | 0.9439 |
No log | 4.5217 | 416 | 0.8838 | 0.5985 | 0.8838 | 0.9401 |
No log | 4.5435 | 418 | 0.7607 | 0.625 | 0.7607 | 0.8722 |
No log | 4.5652 | 420 | 0.6551 | 0.7020 | 0.6551 | 0.8094 |
No log | 4.5870 | 422 | 0.6563 | 0.6790 | 0.6563 | 0.8101 |
No log | 4.6087 | 424 | 0.7263 | 0.6570 | 0.7263 | 0.8523 |
No log | 4.6304 | 426 | 0.9044 | 0.5808 | 0.9044 | 0.9510 |
No log | 4.6522 | 428 | 1.0306 | 0.5669 | 1.0306 | 1.0152 |
No log | 4.6739 | 430 | 0.9503 | 0.5782 | 0.9503 | 0.9748 |
No log | 4.6957 | 432 | 0.7442 | 0.6523 | 0.7442 | 0.8626 |
No log | 4.7174 | 434 | 0.6784 | 0.6892 | 0.6784 | 0.8237 |
No log | 4.7391 | 436 | 0.6806 | 0.7034 | 0.6806 | 0.8250 |
No log | 4.7609 | 438 | 0.7770 | 0.6667 | 0.7770 | 0.8815 |
No log | 4.7826 | 440 | 0.8206 | 0.6456 | 0.8206 | 0.9059 |
No log | 4.8043 | 442 | 0.7492 | 0.6753 | 0.7492 | 0.8655 |
No log | 4.8261 | 444 | 0.6413 | 0.6987 | 0.6413 | 0.8008 |
No log | 4.8478 | 446 | 0.6303 | 0.6892 | 0.6303 | 0.7939 |
No log | 4.8696 | 448 | 0.6688 | 0.7088 | 0.6688 | 0.8178 |
No log | 4.8913 | 450 | 0.7506 | 0.6635 | 0.7506 | 0.8664 |
No log | 4.9130 | 452 | 0.8525 | 0.6551 | 0.8525 | 0.9233 |
No log | 4.9348 | 454 | 0.8235 | 0.6726 | 0.8235 | 0.9075 |
No log | 4.9565 | 456 | 0.7254 | 0.6942 | 0.7254 | 0.8517 |
No log | 4.9783 | 458 | 0.6975 | 0.6757 | 0.6975 | 0.8351 |
No log | 5.0 | 460 | 0.7264 | 0.6961 | 0.7264 | 0.8523 |
No log | 5.0217 | 462 | 0.7479 | 0.6546 | 0.7479 | 0.8648 |
No log | 5.0435 | 464 | 0.8024 | 0.6205 | 0.8024 | 0.8958 |
No log | 5.0652 | 466 | 0.8208 | 0.6084 | 0.8208 | 0.9060 |
No log | 5.0870 | 468 | 0.8298 | 0.6023 | 0.8298 | 0.9109 |
No log | 5.1087 | 470 | 0.7818 | 0.6342 | 0.7818 | 0.8842 |
No log | 5.1304 | 472 | 0.7034 | 0.6534 | 0.7034 | 0.8387 |
No log | 5.1522 | 474 | 0.6958 | 0.6593 | 0.6958 | 0.8341 |
No log | 5.1739 | 476 | 0.7565 | 0.6666 | 0.7565 | 0.8698 |
No log | 5.1957 | 478 | 0.9472 | 0.5742 | 0.9472 | 0.9733 |
No log | 5.2174 | 480 | 1.0367 | 0.5636 | 1.0367 | 1.0182 |
No log | 5.2391 | 482 | 0.9019 | 0.6314 | 0.9019 | 0.9497 |
No log | 5.2609 | 484 | 0.7271 | 0.6655 | 0.7271 | 0.8527 |
No log | 5.2826 | 486 | 0.7069 | 0.6693 | 0.7069 | 0.8408 |
No log | 5.3043 | 488 | 0.6944 | 0.6909 | 0.6944 | 0.8333 |
No log | 5.3261 | 490 | 0.7369 | 0.6826 | 0.7369 | 0.8584 |
No log | 5.3478 | 492 | 0.7246 | 0.6801 | 0.7246 | 0.8513 |
No log | 5.3696 | 494 | 0.6986 | 0.6801 | 0.6986 | 0.8358 |
No log | 5.3913 | 496 | 0.7243 | 0.6645 | 0.7243 | 0.8511 |
No log | 5.4130 | 498 | 0.8238 | 0.6118 | 0.8238 | 0.9076 |
0.4481 | 5.4348 | 500 | 0.7643 | 0.6441 | 0.7643 | 0.8742 |
0.4481 | 5.4565 | 502 | 0.7213 | 0.6730 | 0.7213 | 0.8493 |
0.4481 | 5.4783 | 504 | 0.7640 | 0.6354 | 0.7640 | 0.8741 |
0.4481 | 5.5 | 506 | 0.8349 | 0.6435 | 0.8349 | 0.9137 |
0.4481 | 5.5217 | 508 | 0.7457 | 0.6590 | 0.7457 | 0.8636 |
0.4481 | 5.5435 | 510 | 0.7424 | 0.6530 | 0.7424 | 0.8616 |
0.4481 | 5.5652 | 512 | 0.7962 | 0.6123 | 0.7962 | 0.8923 |
0.4481 | 5.5870 | 514 | 0.8656 | 0.6015 | 0.8656 | 0.9304 |
0.4481 | 5.6087 | 516 | 0.8543 | 0.6058 | 0.8543 | 0.9243 |
0.4481 | 5.6304 | 518 | 0.9103 | 0.6331 | 0.9103 | 0.9541 |
0.4481 | 5.6522 | 520 | 0.8953 | 0.6310 | 0.8953 | 0.9462 |
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/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k19_task1_organization
Base model
aubmindlab/bert-base-arabertv02