ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k7_task2_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: 0.5726
- Qwk: 0.5026
- Mse: 0.5726
- Rmse: 0.7567
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 | 4.3541 | -0.0210 | 4.3541 | 2.0866 |
No log | 0.1081 | 4 | 2.4514 | 0.0253 | 2.4514 | 1.5657 |
No log | 0.1622 | 6 | 1.4358 | -0.0076 | 1.4358 | 1.1982 |
No log | 0.2162 | 8 | 0.8629 | 0.1417 | 0.8629 | 0.9289 |
No log | 0.2703 | 10 | 0.9551 | 0.0408 | 0.9551 | 0.9773 |
No log | 0.3243 | 12 | 1.5411 | -0.1028 | 1.5411 | 1.2414 |
No log | 0.3784 | 14 | 1.2148 | -0.1164 | 1.2148 | 1.1022 |
No log | 0.4324 | 16 | 0.8456 | 0.1064 | 0.8456 | 0.9195 |
No log | 0.4865 | 18 | 0.8157 | 0.1006 | 0.8157 | 0.9032 |
No log | 0.5405 | 20 | 0.8061 | 0.0305 | 0.8061 | 0.8978 |
No log | 0.5946 | 22 | 0.7715 | 0.1867 | 0.7715 | 0.8784 |
No log | 0.6486 | 24 | 0.8901 | 0.1671 | 0.8901 | 0.9434 |
No log | 0.7027 | 26 | 1.5162 | 0.0374 | 1.5162 | 1.2313 |
No log | 0.7568 | 28 | 1.9100 | 0.0847 | 1.9100 | 1.3820 |
No log | 0.8108 | 30 | 1.6544 | 0.1013 | 1.6544 | 1.2862 |
No log | 0.8649 | 32 | 1.1402 | 0.1787 | 1.1402 | 1.0678 |
No log | 0.9189 | 34 | 0.8647 | 0.2256 | 0.8647 | 0.9299 |
No log | 0.9730 | 36 | 0.7925 | 0.2927 | 0.7925 | 0.8902 |
No log | 1.0270 | 38 | 0.7843 | 0.3097 | 0.7843 | 0.8856 |
No log | 1.0811 | 40 | 1.0055 | 0.1752 | 1.0055 | 1.0028 |
No log | 1.1351 | 42 | 0.9119 | 0.2397 | 0.9119 | 0.9549 |
No log | 1.1892 | 44 | 0.6603 | 0.2827 | 0.6603 | 0.8126 |
No log | 1.2432 | 46 | 0.6512 | 0.3183 | 0.6512 | 0.8070 |
No log | 1.2973 | 48 | 0.6730 | 0.3948 | 0.6730 | 0.8204 |
No log | 1.3514 | 50 | 0.8261 | 0.2446 | 0.8261 | 0.9089 |
No log | 1.4054 | 52 | 1.2489 | 0.1796 | 1.2489 | 1.1175 |
No log | 1.4595 | 54 | 1.1278 | 0.2115 | 1.1278 | 1.0620 |
No log | 1.5135 | 56 | 0.8622 | 0.2920 | 0.8622 | 0.9286 |
No log | 1.5676 | 58 | 0.6746 | 0.3714 | 0.6746 | 0.8213 |
No log | 1.6216 | 60 | 0.6896 | 0.3836 | 0.6896 | 0.8304 |
No log | 1.6757 | 62 | 0.6810 | 0.3665 | 0.6810 | 0.8252 |
No log | 1.7297 | 64 | 0.9527 | 0.3180 | 0.9527 | 0.9760 |
No log | 1.7838 | 66 | 0.9585 | 0.3501 | 0.9585 | 0.9790 |
No log | 1.8378 | 68 | 0.6698 | 0.3835 | 0.6698 | 0.8184 |
No log | 1.8919 | 70 | 0.5928 | 0.4523 | 0.5928 | 0.7699 |
No log | 1.9459 | 72 | 0.5979 | 0.4548 | 0.5979 | 0.7732 |
No log | 2.0 | 74 | 0.6540 | 0.3919 | 0.6540 | 0.8087 |
No log | 2.0541 | 76 | 0.6031 | 0.3970 | 0.6031 | 0.7766 |
No log | 2.1081 | 78 | 0.5790 | 0.4234 | 0.5790 | 0.7609 |
No log | 2.1622 | 80 | 0.6348 | 0.3726 | 0.6348 | 0.7968 |
No log | 2.2162 | 82 | 0.7505 | 0.3466 | 0.7505 | 0.8663 |
No log | 2.2703 | 84 | 0.7160 | 0.3668 | 0.7160 | 0.8461 |
No log | 2.3243 | 86 | 0.6086 | 0.4035 | 0.6086 | 0.7801 |
No log | 2.3784 | 88 | 0.5714 | 0.4128 | 0.5714 | 0.7559 |
No log | 2.4324 | 90 | 0.5732 | 0.4059 | 0.5732 | 0.7571 |
No log | 2.4865 | 92 | 0.5700 | 0.5264 | 0.5700 | 0.7550 |
No log | 2.5405 | 94 | 0.5887 | 0.5533 | 0.5887 | 0.7673 |
No log | 2.5946 | 96 | 0.6184 | 0.5614 | 0.6184 | 0.7864 |
No log | 2.6486 | 98 | 0.6668 | 0.5032 | 0.6668 | 0.8166 |
No log | 2.7027 | 100 | 0.8228 | 0.4964 | 0.8228 | 0.9071 |
No log | 2.7568 | 102 | 0.8011 | 0.4929 | 0.8011 | 0.8950 |
No log | 2.8108 | 104 | 0.7849 | 0.4820 | 0.7849 | 0.8860 |
No log | 2.8649 | 106 | 0.6059 | 0.4949 | 0.6059 | 0.7784 |
No log | 2.9189 | 108 | 0.5975 | 0.5410 | 0.5975 | 0.7730 |
No log | 2.9730 | 110 | 0.6304 | 0.4223 | 0.6304 | 0.7940 |
No log | 3.0270 | 112 | 0.6990 | 0.4292 | 0.6990 | 0.8361 |
No log | 3.0811 | 114 | 0.7189 | 0.4324 | 0.7189 | 0.8479 |
No log | 3.1351 | 116 | 0.6146 | 0.5114 | 0.6146 | 0.7839 |
No log | 3.1892 | 118 | 0.6554 | 0.5816 | 0.6554 | 0.8095 |
No log | 3.2432 | 120 | 0.6712 | 0.5602 | 0.6712 | 0.8193 |
No log | 3.2973 | 122 | 0.6397 | 0.5108 | 0.6397 | 0.7998 |
No log | 3.3514 | 124 | 0.6976 | 0.4645 | 0.6976 | 0.8352 |
No log | 3.4054 | 126 | 0.6765 | 0.4796 | 0.6765 | 0.8225 |
No log | 3.4595 | 128 | 0.6244 | 0.5166 | 0.6244 | 0.7902 |
No log | 3.5135 | 130 | 0.6386 | 0.5563 | 0.6386 | 0.7992 |
No log | 3.5676 | 132 | 0.6162 | 0.5228 | 0.6162 | 0.7850 |
No log | 3.6216 | 134 | 0.6852 | 0.4218 | 0.6852 | 0.8278 |
No log | 3.6757 | 136 | 0.7663 | 0.4452 | 0.7663 | 0.8754 |
No log | 3.7297 | 138 | 0.6480 | 0.4218 | 0.6480 | 0.8050 |
No log | 3.7838 | 140 | 0.5882 | 0.4868 | 0.5882 | 0.7669 |
No log | 3.8378 | 142 | 0.5804 | 0.5156 | 0.5804 | 0.7619 |
No log | 3.8919 | 144 | 0.5895 | 0.4856 | 0.5895 | 0.7678 |
No log | 3.9459 | 146 | 0.6841 | 0.3973 | 0.6841 | 0.8271 |
No log | 4.0 | 148 | 0.9337 | 0.4143 | 0.9337 | 0.9663 |
No log | 4.0541 | 150 | 0.8348 | 0.4666 | 0.8348 | 0.9137 |
No log | 4.1081 | 152 | 0.6204 | 0.4497 | 0.6204 | 0.7877 |
No log | 4.1622 | 154 | 0.6406 | 0.5297 | 0.6406 | 0.8004 |
No log | 4.2162 | 156 | 0.6405 | 0.5404 | 0.6405 | 0.8003 |
No log | 4.2703 | 158 | 0.6873 | 0.4672 | 0.6873 | 0.8291 |
No log | 4.3243 | 160 | 0.6828 | 0.4421 | 0.6828 | 0.8263 |
No log | 4.3784 | 162 | 0.6059 | 0.4528 | 0.6059 | 0.7784 |
No log | 4.4324 | 164 | 0.6404 | 0.5763 | 0.6404 | 0.8002 |
No log | 4.4865 | 166 | 0.6777 | 0.5556 | 0.6777 | 0.8233 |
No log | 4.5405 | 168 | 0.6361 | 0.5307 | 0.6361 | 0.7975 |
No log | 4.5946 | 170 | 0.6361 | 0.5360 | 0.6361 | 0.7976 |
No log | 4.6486 | 172 | 0.7015 | 0.5998 | 0.7015 | 0.8375 |
No log | 4.7027 | 174 | 0.7863 | 0.5085 | 0.7863 | 0.8867 |
No log | 4.7568 | 176 | 0.6868 | 0.5291 | 0.6868 | 0.8287 |
No log | 4.8108 | 178 | 0.7924 | 0.5283 | 0.7924 | 0.8902 |
No log | 4.8649 | 180 | 0.9258 | 0.4094 | 0.9258 | 0.9622 |
No log | 4.9189 | 182 | 0.8084 | 0.4481 | 0.8084 | 0.8991 |
No log | 4.9730 | 184 | 0.6599 | 0.4730 | 0.6599 | 0.8124 |
No log | 5.0270 | 186 | 0.6462 | 0.4751 | 0.6462 | 0.8038 |
No log | 5.0811 | 188 | 0.7072 | 0.4830 | 0.7072 | 0.8409 |
No log | 5.1351 | 190 | 0.6682 | 0.5211 | 0.6682 | 0.8174 |
No log | 5.1892 | 192 | 0.6031 | 0.4827 | 0.6031 | 0.7766 |
No log | 5.2432 | 194 | 0.6725 | 0.4385 | 0.6725 | 0.8200 |
No log | 5.2973 | 196 | 0.6256 | 0.4605 | 0.6256 | 0.7909 |
No log | 5.3514 | 198 | 0.6309 | 0.5363 | 0.6309 | 0.7943 |
No log | 5.4054 | 200 | 0.6261 | 0.5141 | 0.6261 | 0.7913 |
No log | 5.4595 | 202 | 0.6832 | 0.4910 | 0.6832 | 0.8265 |
No log | 5.5135 | 204 | 0.8371 | 0.4236 | 0.8371 | 0.9150 |
No log | 5.5676 | 206 | 0.7294 | 0.4755 | 0.7294 | 0.8541 |
No log | 5.6216 | 208 | 0.6525 | 0.5217 | 0.6525 | 0.8077 |
No log | 5.6757 | 210 | 0.9098 | 0.4216 | 0.9098 | 0.9538 |
No log | 5.7297 | 212 | 0.9191 | 0.4063 | 0.9191 | 0.9587 |
No log | 5.7838 | 214 | 0.7025 | 0.4829 | 0.7025 | 0.8382 |
No log | 5.8378 | 216 | 0.6378 | 0.5426 | 0.6378 | 0.7986 |
No log | 5.8919 | 218 | 0.7994 | 0.5029 | 0.7994 | 0.8941 |
No log | 5.9459 | 220 | 0.8025 | 0.4797 | 0.8025 | 0.8958 |
No log | 6.0 | 222 | 0.6673 | 0.5927 | 0.6673 | 0.8169 |
No log | 6.0541 | 224 | 0.6477 | 0.5240 | 0.6477 | 0.8048 |
No log | 6.1081 | 226 | 0.7088 | 0.4863 | 0.7088 | 0.8419 |
No log | 6.1622 | 228 | 0.6966 | 0.4829 | 0.6966 | 0.8346 |
No log | 6.2162 | 230 | 0.6201 | 0.5495 | 0.6201 | 0.7874 |
No log | 6.2703 | 232 | 0.5878 | 0.4440 | 0.5878 | 0.7667 |
No log | 6.3243 | 234 | 0.6233 | 0.3838 | 0.6233 | 0.7895 |
No log | 6.3784 | 236 | 0.5957 | 0.4268 | 0.5957 | 0.7718 |
No log | 6.4324 | 238 | 0.5621 | 0.4774 | 0.5621 | 0.7497 |
No log | 6.4865 | 240 | 0.5695 | 0.5105 | 0.5695 | 0.7546 |
No log | 6.5405 | 242 | 0.5663 | 0.4869 | 0.5663 | 0.7525 |
No log | 6.5946 | 244 | 0.6349 | 0.4823 | 0.6349 | 0.7968 |
No log | 6.6486 | 246 | 0.6476 | 0.4919 | 0.6476 | 0.8047 |
No log | 6.7027 | 248 | 0.6138 | 0.4882 | 0.6138 | 0.7835 |
No log | 6.7568 | 250 | 0.6755 | 0.5278 | 0.6755 | 0.8219 |
No log | 6.8108 | 252 | 0.8157 | 0.4287 | 0.8157 | 0.9032 |
No log | 6.8649 | 254 | 0.7447 | 0.4412 | 0.7447 | 0.8630 |
No log | 6.9189 | 256 | 0.6031 | 0.5444 | 0.6031 | 0.7766 |
No log | 6.9730 | 258 | 0.5844 | 0.5451 | 0.5844 | 0.7645 |
No log | 7.0270 | 260 | 0.5789 | 0.5156 | 0.5789 | 0.7609 |
No log | 7.0811 | 262 | 0.5906 | 0.5053 | 0.5906 | 0.7685 |
No log | 7.1351 | 264 | 0.5911 | 0.5053 | 0.5910 | 0.7688 |
No log | 7.1892 | 266 | 0.5977 | 0.5231 | 0.5977 | 0.7731 |
No log | 7.2432 | 268 | 0.5827 | 0.4513 | 0.5827 | 0.7634 |
No log | 7.2973 | 270 | 0.5787 | 0.4767 | 0.5787 | 0.7607 |
No log | 7.3514 | 272 | 0.5784 | 0.4977 | 0.5784 | 0.7605 |
No log | 7.4054 | 274 | 0.5869 | 0.4716 | 0.5869 | 0.7661 |
No log | 7.4595 | 276 | 0.6153 | 0.5110 | 0.6153 | 0.7844 |
No log | 7.5135 | 278 | 0.6876 | 0.5263 | 0.6876 | 0.8292 |
No log | 7.5676 | 280 | 0.6498 | 0.5507 | 0.6498 | 0.8061 |
No log | 7.6216 | 282 | 0.6069 | 0.5053 | 0.6069 | 0.7790 |
No log | 7.6757 | 284 | 0.6109 | 0.4141 | 0.6109 | 0.7816 |
No log | 7.7297 | 286 | 0.6152 | 0.4061 | 0.6152 | 0.7843 |
No log | 7.7838 | 288 | 0.5987 | 0.3725 | 0.5987 | 0.7738 |
No log | 7.8378 | 290 | 0.5990 | 0.3759 | 0.5990 | 0.7740 |
No log | 7.8919 | 292 | 0.5953 | 0.4723 | 0.5953 | 0.7715 |
No log | 7.9459 | 294 | 0.6173 | 0.4371 | 0.6173 | 0.7857 |
No log | 8.0 | 296 | 0.6637 | 0.4596 | 0.6637 | 0.8147 |
No log | 8.0541 | 298 | 0.6355 | 0.4480 | 0.6355 | 0.7972 |
No log | 8.1081 | 300 | 0.5957 | 0.4364 | 0.5957 | 0.7718 |
No log | 8.1622 | 302 | 0.5894 | 0.4673 | 0.5894 | 0.7677 |
No log | 8.2162 | 304 | 0.5927 | 0.4639 | 0.5927 | 0.7699 |
No log | 8.2703 | 306 | 0.6154 | 0.4489 | 0.6154 | 0.7845 |
No log | 8.3243 | 308 | 0.6209 | 0.4512 | 0.6209 | 0.7880 |
No log | 8.3784 | 310 | 0.6132 | 0.4542 | 0.6132 | 0.7831 |
No log | 8.4324 | 312 | 0.6245 | 0.5336 | 0.6245 | 0.7903 |
No log | 8.4865 | 314 | 0.6168 | 0.5200 | 0.6168 | 0.7853 |
No log | 8.5405 | 316 | 0.6288 | 0.4289 | 0.6288 | 0.7930 |
No log | 8.5946 | 318 | 0.6107 | 0.4414 | 0.6107 | 0.7815 |
No log | 8.6486 | 320 | 0.5902 | 0.4774 | 0.5902 | 0.7682 |
No log | 8.7027 | 322 | 0.6493 | 0.5568 | 0.6493 | 0.8058 |
No log | 8.7568 | 324 | 0.6937 | 0.4968 | 0.6937 | 0.8329 |
No log | 8.8108 | 326 | 0.6361 | 0.5041 | 0.6361 | 0.7975 |
No log | 8.8649 | 328 | 0.5872 | 0.5100 | 0.5872 | 0.7663 |
No log | 8.9189 | 330 | 0.6706 | 0.4878 | 0.6706 | 0.8189 |
No log | 8.9730 | 332 | 0.6786 | 0.5079 | 0.6786 | 0.8237 |
No log | 9.0270 | 334 | 0.6119 | 0.5141 | 0.6119 | 0.7822 |
No log | 9.0811 | 336 | 0.6388 | 0.5076 | 0.6388 | 0.7992 |
No log | 9.1351 | 338 | 0.6606 | 0.5 | 0.6606 | 0.8128 |
No log | 9.1892 | 340 | 0.6281 | 0.4659 | 0.6281 | 0.7925 |
No log | 9.2432 | 342 | 0.6196 | 0.4669 | 0.6196 | 0.7871 |
No log | 9.2973 | 344 | 0.6188 | 0.4936 | 0.6188 | 0.7866 |
No log | 9.3514 | 346 | 0.6117 | 0.4950 | 0.6117 | 0.7821 |
No log | 9.4054 | 348 | 0.6171 | 0.4924 | 0.6171 | 0.7856 |
No log | 9.4595 | 350 | 0.6142 | 0.4896 | 0.6142 | 0.7837 |
No log | 9.5135 | 352 | 0.6053 | 0.4835 | 0.6053 | 0.7780 |
No log | 9.5676 | 354 | 0.6039 | 0.5295 | 0.6039 | 0.7771 |
No log | 9.6216 | 356 | 0.5922 | 0.4785 | 0.5922 | 0.7695 |
No log | 9.6757 | 358 | 0.5976 | 0.4430 | 0.5976 | 0.7731 |
No log | 9.7297 | 360 | 0.6120 | 0.4390 | 0.6120 | 0.7823 |
No log | 9.7838 | 362 | 0.5877 | 0.4552 | 0.5877 | 0.7666 |
No log | 9.8378 | 364 | 0.5838 | 0.4665 | 0.5838 | 0.7640 |
No log | 9.8919 | 366 | 0.6033 | 0.4985 | 0.6033 | 0.7767 |
No log | 9.9459 | 368 | 0.5966 | 0.5019 | 0.5966 | 0.7724 |
No log | 10.0 | 370 | 0.6032 | 0.4550 | 0.6032 | 0.7767 |
No log | 10.0541 | 372 | 0.7065 | 0.4518 | 0.7065 | 0.8405 |
No log | 10.1081 | 374 | 0.7836 | 0.5033 | 0.7836 | 0.8852 |
No log | 10.1622 | 376 | 0.6899 | 0.4650 | 0.6899 | 0.8306 |
No log | 10.2162 | 378 | 0.6357 | 0.4674 | 0.6357 | 0.7973 |
No log | 10.2703 | 380 | 0.6779 | 0.5658 | 0.6779 | 0.8233 |
No log | 10.3243 | 382 | 0.6534 | 0.5736 | 0.6534 | 0.8083 |
No log | 10.3784 | 384 | 0.5933 | 0.5222 | 0.5933 | 0.7702 |
No log | 10.4324 | 386 | 0.6062 | 0.4582 | 0.6062 | 0.7786 |
No log | 10.4865 | 388 | 0.6393 | 0.4691 | 0.6393 | 0.7996 |
No log | 10.5405 | 390 | 0.6443 | 0.4990 | 0.6443 | 0.8027 |
No log | 10.5946 | 392 | 0.6207 | 0.5098 | 0.6207 | 0.7878 |
No log | 10.6486 | 394 | 0.6100 | 0.5369 | 0.6100 | 0.7810 |
No log | 10.7027 | 396 | 0.6097 | 0.5716 | 0.6097 | 0.7809 |
No log | 10.7568 | 398 | 0.6055 | 0.5298 | 0.6055 | 0.7781 |
No log | 10.8108 | 400 | 0.6339 | 0.5308 | 0.6339 | 0.7962 |
No log | 10.8649 | 402 | 0.7376 | 0.4722 | 0.7376 | 0.8589 |
No log | 10.9189 | 404 | 0.7265 | 0.4698 | 0.7265 | 0.8523 |
No log | 10.9730 | 406 | 0.6595 | 0.4558 | 0.6595 | 0.8121 |
No log | 11.0270 | 408 | 0.5843 | 0.5218 | 0.5843 | 0.7644 |
No log | 11.0811 | 410 | 0.5704 | 0.5090 | 0.5704 | 0.7552 |
No log | 11.1351 | 412 | 0.5635 | 0.5063 | 0.5635 | 0.7507 |
No log | 11.1892 | 414 | 0.5576 | 0.4562 | 0.5576 | 0.7468 |
No log | 11.2432 | 416 | 0.5783 | 0.4463 | 0.5783 | 0.7604 |
No log | 11.2973 | 418 | 0.5925 | 0.4824 | 0.5925 | 0.7697 |
No log | 11.3514 | 420 | 0.6073 | 0.4731 | 0.6073 | 0.7793 |
No log | 11.4054 | 422 | 0.5714 | 0.4941 | 0.5714 | 0.7559 |
No log | 11.4595 | 424 | 0.5700 | 0.5482 | 0.5700 | 0.7550 |
No log | 11.5135 | 426 | 0.6281 | 0.5359 | 0.6281 | 0.7925 |
No log | 11.5676 | 428 | 0.6242 | 0.5584 | 0.6242 | 0.7900 |
No log | 11.6216 | 430 | 0.5899 | 0.5814 | 0.5899 | 0.7681 |
No log | 11.6757 | 432 | 0.6246 | 0.4912 | 0.6246 | 0.7903 |
No log | 11.7297 | 434 | 0.6964 | 0.5111 | 0.6964 | 0.8345 |
No log | 11.7838 | 436 | 0.6620 | 0.4844 | 0.6620 | 0.8136 |
No log | 11.8378 | 438 | 0.5886 | 0.5089 | 0.5886 | 0.7672 |
No log | 11.8919 | 440 | 0.5788 | 0.5999 | 0.5788 | 0.7608 |
No log | 11.9459 | 442 | 0.5944 | 0.5566 | 0.5944 | 0.7710 |
No log | 12.0 | 444 | 0.5810 | 0.6075 | 0.5810 | 0.7623 |
No log | 12.0541 | 446 | 0.5849 | 0.5378 | 0.5849 | 0.7648 |
No log | 12.1081 | 448 | 0.6869 | 0.4607 | 0.6869 | 0.8288 |
No log | 12.1622 | 450 | 0.7741 | 0.3974 | 0.7741 | 0.8799 |
No log | 12.2162 | 452 | 0.7210 | 0.4384 | 0.7210 | 0.8491 |
No log | 12.2703 | 454 | 0.6284 | 0.4792 | 0.6284 | 0.7927 |
No log | 12.3243 | 456 | 0.5847 | 0.5433 | 0.5847 | 0.7647 |
No log | 12.3784 | 458 | 0.6268 | 0.5117 | 0.6268 | 0.7917 |
No log | 12.4324 | 460 | 0.6272 | 0.5205 | 0.6272 | 0.7920 |
No log | 12.4865 | 462 | 0.5975 | 0.5450 | 0.5975 | 0.7730 |
No log | 12.5405 | 464 | 0.6003 | 0.5957 | 0.6003 | 0.7748 |
No log | 12.5946 | 466 | 0.6031 | 0.5720 | 0.6031 | 0.7766 |
No log | 12.6486 | 468 | 0.5948 | 0.5466 | 0.5948 | 0.7712 |
No log | 12.7027 | 470 | 0.6018 | 0.5489 | 0.6018 | 0.7757 |
No log | 12.7568 | 472 | 0.5949 | 0.5361 | 0.5949 | 0.7713 |
No log | 12.8108 | 474 | 0.5739 | 0.5147 | 0.5739 | 0.7576 |
No log | 12.8649 | 476 | 0.5733 | 0.4814 | 0.5733 | 0.7572 |
No log | 12.9189 | 478 | 0.6120 | 0.4993 | 0.6120 | 0.7823 |
No log | 12.9730 | 480 | 0.6441 | 0.5202 | 0.6441 | 0.8025 |
No log | 13.0270 | 482 | 0.5993 | 0.5046 | 0.5993 | 0.7742 |
No log | 13.0811 | 484 | 0.5631 | 0.5209 | 0.5631 | 0.7504 |
No log | 13.1351 | 486 | 0.5801 | 0.4863 | 0.5801 | 0.7616 |
No log | 13.1892 | 488 | 0.5858 | 0.4895 | 0.5858 | 0.7654 |
No log | 13.2432 | 490 | 0.5760 | 0.5335 | 0.5760 | 0.7590 |
No log | 13.2973 | 492 | 0.6332 | 0.5332 | 0.6332 | 0.7957 |
No log | 13.3514 | 494 | 0.6585 | 0.5316 | 0.6585 | 0.8115 |
No log | 13.4054 | 496 | 0.6267 | 0.5472 | 0.6267 | 0.7916 |
No log | 13.4595 | 498 | 0.6238 | 0.4937 | 0.6238 | 0.7898 |
0.3582 | 13.5135 | 500 | 0.6049 | 0.5289 | 0.6049 | 0.7777 |
0.3582 | 13.5676 | 502 | 0.5961 | 0.5471 | 0.5961 | 0.7721 |
0.3582 | 13.6216 | 504 | 0.6249 | 0.4993 | 0.6249 | 0.7905 |
0.3582 | 13.6757 | 506 | 0.6437 | 0.4895 | 0.6437 | 0.8023 |
0.3582 | 13.7297 | 508 | 0.6126 | 0.4871 | 0.6126 | 0.7827 |
0.3582 | 13.7838 | 510 | 0.5834 | 0.5396 | 0.5834 | 0.7638 |
0.3582 | 13.8378 | 512 | 0.5704 | 0.5648 | 0.5704 | 0.7552 |
0.3582 | 13.8919 | 514 | 0.5702 | 0.4910 | 0.5702 | 0.7551 |
0.3582 | 13.9459 | 516 | 0.5738 | 0.4932 | 0.5738 | 0.7575 |
0.3582 | 14.0 | 518 | 0.5810 | 0.5213 | 0.5810 | 0.7623 |
0.3582 | 14.0541 | 520 | 0.5812 | 0.5305 | 0.5812 | 0.7624 |
0.3582 | 14.1081 | 522 | 0.5877 | 0.4999 | 0.5877 | 0.7666 |
0.3582 | 14.1622 | 524 | 0.5892 | 0.5117 | 0.5892 | 0.7676 |
0.3582 | 14.2162 | 526 | 0.6000 | 0.4895 | 0.6000 | 0.7746 |
0.3582 | 14.2703 | 528 | 0.5968 | 0.5033 | 0.5968 | 0.7725 |
0.3582 | 14.3243 | 530 | 0.5726 | 0.5026 | 0.5726 | 0.7567 |
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_run1_AugV5_k7_task2_organization
Base model
aubmindlab/bert-base-arabertv02