ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_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: 0.6210
- Qwk: 0.4609
- Mse: 0.6210
- Rmse: 0.7880
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 | 4.6581 | -0.0183 | 4.6581 | 2.1583 |
No log | 0.0435 | 4 | 2.9828 | 0.0227 | 2.9828 | 1.7271 |
No log | 0.0652 | 6 | 1.7970 | -0.0147 | 1.7970 | 1.3405 |
No log | 0.0870 | 8 | 1.4768 | -0.0410 | 1.4768 | 1.2153 |
No log | 0.1087 | 10 | 1.3729 | -0.0606 | 1.3729 | 1.1717 |
No log | 0.1304 | 12 | 1.1036 | -0.0007 | 1.1036 | 1.0505 |
No log | 0.1522 | 14 | 1.1617 | 0.0781 | 1.1617 | 1.0778 |
No log | 0.1739 | 16 | 0.8538 | 0.2034 | 0.8538 | 0.9240 |
No log | 0.1957 | 18 | 0.8206 | 0.1543 | 0.8206 | 0.9059 |
No log | 0.2174 | 20 | 0.8436 | 0.1505 | 0.8436 | 0.9185 |
No log | 0.2391 | 22 | 0.8146 | 0.1405 | 0.8146 | 0.9026 |
No log | 0.2609 | 24 | 1.2212 | 0.2254 | 1.2212 | 1.1051 |
No log | 0.2826 | 26 | 1.4730 | 0.1110 | 1.4730 | 1.2137 |
No log | 0.3043 | 28 | 1.2595 | 0.1079 | 1.2595 | 1.1223 |
No log | 0.3261 | 30 | 0.9000 | 0.1780 | 0.9000 | 0.9487 |
No log | 0.3478 | 32 | 0.7005 | 0.3486 | 0.7005 | 0.8370 |
No log | 0.3696 | 34 | 0.6581 | 0.2618 | 0.6581 | 0.8112 |
No log | 0.3913 | 36 | 0.6702 | 0.2027 | 0.6702 | 0.8187 |
No log | 0.4130 | 38 | 0.6651 | 0.2324 | 0.6651 | 0.8156 |
No log | 0.4348 | 40 | 0.6328 | 0.2769 | 0.6328 | 0.7955 |
No log | 0.4565 | 42 | 0.6460 | 0.4033 | 0.6460 | 0.8037 |
No log | 0.4783 | 44 | 0.7341 | 0.3226 | 0.7341 | 0.8568 |
No log | 0.5 | 46 | 0.8600 | 0.2892 | 0.8600 | 0.9273 |
No log | 0.5217 | 48 | 0.9402 | 0.2947 | 0.9402 | 0.9696 |
No log | 0.5435 | 50 | 1.0115 | 0.2611 | 1.0115 | 1.0057 |
No log | 0.5652 | 52 | 0.9421 | 0.2481 | 0.9421 | 0.9706 |
No log | 0.5870 | 54 | 0.8204 | 0.3612 | 0.8204 | 0.9058 |
No log | 0.6087 | 56 | 0.7208 | 0.4139 | 0.7208 | 0.8490 |
No log | 0.6304 | 58 | 0.6127 | 0.4421 | 0.6127 | 0.7827 |
No log | 0.6522 | 60 | 0.6134 | 0.3538 | 0.6134 | 0.7832 |
No log | 0.6739 | 62 | 0.5990 | 0.5244 | 0.5990 | 0.7740 |
No log | 0.6957 | 64 | 0.6488 | 0.4444 | 0.6488 | 0.8055 |
No log | 0.7174 | 66 | 0.6384 | 0.4513 | 0.6384 | 0.7990 |
No log | 0.7391 | 68 | 0.6947 | 0.4571 | 0.6947 | 0.8335 |
No log | 0.7609 | 70 | 0.7576 | 0.5010 | 0.7576 | 0.8704 |
No log | 0.7826 | 72 | 0.9306 | 0.3931 | 0.9306 | 0.9647 |
No log | 0.8043 | 74 | 0.8819 | 0.4199 | 0.8819 | 0.9391 |
No log | 0.8261 | 76 | 0.7890 | 0.4673 | 0.7890 | 0.8883 |
No log | 0.8478 | 78 | 0.7345 | 0.4630 | 0.7345 | 0.8570 |
No log | 0.8696 | 80 | 0.7589 | 0.4630 | 0.7589 | 0.8711 |
No log | 0.8913 | 82 | 0.7975 | 0.4767 | 0.7975 | 0.8930 |
No log | 0.9130 | 84 | 0.9517 | 0.3722 | 0.9517 | 0.9756 |
No log | 0.9348 | 86 | 1.2476 | 0.2778 | 1.2476 | 1.1170 |
No log | 0.9565 | 88 | 1.2857 | 0.2480 | 1.2857 | 1.1339 |
No log | 0.9783 | 90 | 1.0334 | 0.2524 | 1.0334 | 1.0165 |
No log | 1.0 | 92 | 0.6668 | 0.4638 | 0.6668 | 0.8166 |
No log | 1.0217 | 94 | 0.5977 | 0.5206 | 0.5977 | 0.7731 |
No log | 1.0435 | 96 | 0.6250 | 0.5101 | 0.6250 | 0.7906 |
No log | 1.0652 | 98 | 0.5967 | 0.5096 | 0.5967 | 0.7725 |
No log | 1.0870 | 100 | 0.5885 | 0.4636 | 0.5885 | 0.7671 |
No log | 1.1087 | 102 | 0.5910 | 0.5282 | 0.5910 | 0.7688 |
No log | 1.1304 | 104 | 0.6078 | 0.5638 | 0.6078 | 0.7796 |
No log | 1.1522 | 106 | 0.6146 | 0.5398 | 0.6146 | 0.7840 |
No log | 1.1739 | 108 | 0.6257 | 0.5514 | 0.6257 | 0.7910 |
No log | 1.1957 | 110 | 0.6281 | 0.5593 | 0.6281 | 0.7926 |
No log | 1.2174 | 112 | 0.6266 | 0.5574 | 0.6266 | 0.7916 |
No log | 1.2391 | 114 | 0.6427 | 0.5097 | 0.6427 | 0.8017 |
No log | 1.2609 | 116 | 0.7232 | 0.5306 | 0.7232 | 0.8504 |
No log | 1.2826 | 118 | 0.6676 | 0.5645 | 0.6676 | 0.8170 |
No log | 1.3043 | 120 | 0.6214 | 0.5197 | 0.6214 | 0.7883 |
No log | 1.3261 | 122 | 0.6511 | 0.5499 | 0.6511 | 0.8069 |
No log | 1.3478 | 124 | 0.6394 | 0.5594 | 0.6394 | 0.7996 |
No log | 1.3696 | 126 | 0.6183 | 0.5474 | 0.6183 | 0.7864 |
No log | 1.3913 | 128 | 0.6230 | 0.5474 | 0.6230 | 0.7893 |
No log | 1.4130 | 130 | 0.7057 | 0.4908 | 0.7057 | 0.8401 |
No log | 1.4348 | 132 | 0.7682 | 0.4823 | 0.7682 | 0.8765 |
No log | 1.4565 | 134 | 0.6600 | 0.5540 | 0.6600 | 0.8124 |
No log | 1.4783 | 136 | 0.6445 | 0.5751 | 0.6445 | 0.8028 |
No log | 1.5 | 138 | 0.6670 | 0.5657 | 0.6670 | 0.8167 |
No log | 1.5217 | 140 | 0.5923 | 0.5215 | 0.5923 | 0.7696 |
No log | 1.5435 | 142 | 0.6353 | 0.5521 | 0.6353 | 0.7971 |
No log | 1.5652 | 144 | 0.6807 | 0.5101 | 0.6807 | 0.8250 |
No log | 1.5870 | 146 | 0.6462 | 0.5039 | 0.6462 | 0.8039 |
No log | 1.6087 | 148 | 0.5883 | 0.4611 | 0.5883 | 0.7670 |
No log | 1.6304 | 150 | 0.6040 | 0.4265 | 0.6040 | 0.7772 |
No log | 1.6522 | 152 | 0.6295 | 0.4572 | 0.6295 | 0.7934 |
No log | 1.6739 | 154 | 0.6342 | 0.4858 | 0.6342 | 0.7964 |
No log | 1.6957 | 156 | 0.6778 | 0.5653 | 0.6778 | 0.8233 |
No log | 1.7174 | 158 | 0.8514 | 0.4539 | 0.8514 | 0.9227 |
No log | 1.7391 | 160 | 0.8155 | 0.5146 | 0.8155 | 0.9030 |
No log | 1.7609 | 162 | 0.7597 | 0.5492 | 0.7597 | 0.8716 |
No log | 1.7826 | 164 | 0.8027 | 0.5381 | 0.8027 | 0.8959 |
No log | 1.8043 | 166 | 0.8361 | 0.5289 | 0.8361 | 0.9144 |
No log | 1.8261 | 168 | 0.7939 | 0.5381 | 0.7939 | 0.8910 |
No log | 1.8478 | 170 | 0.7732 | 0.5371 | 0.7732 | 0.8793 |
No log | 1.8696 | 172 | 0.7089 | 0.5086 | 0.7089 | 0.8420 |
No log | 1.8913 | 174 | 0.7370 | 0.4887 | 0.7370 | 0.8585 |
No log | 1.9130 | 176 | 0.7515 | 0.4269 | 0.7515 | 0.8669 |
No log | 1.9348 | 178 | 0.6376 | 0.5077 | 0.6376 | 0.7985 |
No log | 1.9565 | 180 | 0.6071 | 0.4621 | 0.6071 | 0.7792 |
No log | 1.9783 | 182 | 0.6741 | 0.4601 | 0.6741 | 0.8210 |
No log | 2.0 | 184 | 0.8180 | 0.4245 | 0.8180 | 0.9044 |
No log | 2.0217 | 186 | 0.8652 | 0.4194 | 0.8652 | 0.9302 |
No log | 2.0435 | 188 | 0.7980 | 0.4202 | 0.7980 | 0.8933 |
No log | 2.0652 | 190 | 0.6674 | 0.5678 | 0.6674 | 0.8170 |
No log | 2.0870 | 192 | 0.6537 | 0.5637 | 0.6537 | 0.8085 |
No log | 2.1087 | 194 | 0.6775 | 0.5108 | 0.6775 | 0.8231 |
No log | 2.1304 | 196 | 0.6215 | 0.5507 | 0.6215 | 0.7883 |
No log | 2.1522 | 198 | 0.6186 | 0.5144 | 0.6186 | 0.7865 |
No log | 2.1739 | 200 | 0.6616 | 0.5054 | 0.6616 | 0.8134 |
No log | 2.1957 | 202 | 0.5992 | 0.5462 | 0.5992 | 0.7741 |
No log | 2.2174 | 204 | 0.6667 | 0.5205 | 0.6667 | 0.8165 |
No log | 2.2391 | 206 | 0.8181 | 0.4716 | 0.8181 | 0.9045 |
No log | 2.2609 | 208 | 0.7356 | 0.5328 | 0.7356 | 0.8577 |
No log | 2.2826 | 210 | 0.6108 | 0.5316 | 0.6108 | 0.7815 |
No log | 2.3043 | 212 | 0.5989 | 0.4810 | 0.5989 | 0.7739 |
No log | 2.3261 | 214 | 0.6400 | 0.4971 | 0.6400 | 0.8000 |
No log | 2.3478 | 216 | 0.6865 | 0.5002 | 0.6865 | 0.8285 |
No log | 2.3696 | 218 | 0.6424 | 0.5294 | 0.6424 | 0.8015 |
No log | 2.3913 | 220 | 0.6653 | 0.4878 | 0.6653 | 0.8157 |
No log | 2.4130 | 222 | 0.6668 | 0.4765 | 0.6668 | 0.8166 |
No log | 2.4348 | 224 | 0.6442 | 0.5124 | 0.6442 | 0.8026 |
No log | 2.4565 | 226 | 0.6733 | 0.4608 | 0.6733 | 0.8205 |
No log | 2.4783 | 228 | 0.6701 | 0.4339 | 0.6701 | 0.8186 |
No log | 2.5 | 230 | 0.5993 | 0.4394 | 0.5993 | 0.7741 |
No log | 2.5217 | 232 | 0.5947 | 0.5213 | 0.5947 | 0.7712 |
No log | 2.5435 | 234 | 0.5762 | 0.4570 | 0.5762 | 0.7591 |
No log | 2.5652 | 236 | 0.6306 | 0.4840 | 0.6306 | 0.7941 |
No log | 2.5870 | 238 | 0.6804 | 0.4949 | 0.6804 | 0.8249 |
No log | 2.6087 | 240 | 0.6093 | 0.5257 | 0.6093 | 0.7806 |
No log | 2.6304 | 242 | 0.5851 | 0.5170 | 0.5851 | 0.7649 |
No log | 2.6522 | 244 | 0.5902 | 0.4796 | 0.5902 | 0.7682 |
No log | 2.6739 | 246 | 0.6004 | 0.5294 | 0.6004 | 0.7748 |
No log | 2.6957 | 248 | 0.6903 | 0.4905 | 0.6903 | 0.8308 |
No log | 2.7174 | 250 | 0.7680 | 0.4643 | 0.7680 | 0.8763 |
No log | 2.7391 | 252 | 0.6888 | 0.5501 | 0.6888 | 0.8299 |
No log | 2.7609 | 254 | 0.6519 | 0.5062 | 0.6519 | 0.8074 |
No log | 2.7826 | 256 | 0.6215 | 0.5699 | 0.6215 | 0.7883 |
No log | 2.8043 | 258 | 0.6478 | 0.5773 | 0.6478 | 0.8049 |
No log | 2.8261 | 260 | 0.7408 | 0.5274 | 0.7408 | 0.8607 |
No log | 2.8478 | 262 | 0.9677 | 0.4245 | 0.9677 | 0.9837 |
No log | 2.8696 | 264 | 0.9934 | 0.4122 | 0.9934 | 0.9967 |
No log | 2.8913 | 266 | 0.8591 | 0.4734 | 0.8591 | 0.9269 |
No log | 2.9130 | 268 | 0.6470 | 0.5751 | 0.6470 | 0.8043 |
No log | 2.9348 | 270 | 0.6212 | 0.4813 | 0.6212 | 0.7881 |
No log | 2.9565 | 272 | 0.6262 | 0.4999 | 0.6262 | 0.7913 |
No log | 2.9783 | 274 | 0.5850 | 0.5051 | 0.5850 | 0.7648 |
No log | 3.0 | 276 | 0.5727 | 0.4693 | 0.5727 | 0.7568 |
No log | 3.0217 | 278 | 0.5702 | 0.4948 | 0.5702 | 0.7551 |
No log | 3.0435 | 280 | 0.5815 | 0.4823 | 0.5815 | 0.7625 |
No log | 3.0652 | 282 | 0.5966 | 0.48 | 0.5966 | 0.7724 |
No log | 3.0870 | 284 | 0.6107 | 0.4714 | 0.6107 | 0.7815 |
No log | 3.1087 | 286 | 0.6009 | 0.4766 | 0.6009 | 0.7752 |
No log | 3.1304 | 288 | 0.5867 | 0.5051 | 0.5867 | 0.7660 |
No log | 3.1522 | 290 | 0.5887 | 0.5080 | 0.5887 | 0.7673 |
No log | 3.1739 | 292 | 0.6361 | 0.4812 | 0.6361 | 0.7976 |
No log | 3.1957 | 294 | 0.6657 | 0.4765 | 0.6657 | 0.8159 |
No log | 3.2174 | 296 | 0.5951 | 0.5556 | 0.5951 | 0.7714 |
No log | 3.2391 | 298 | 0.5806 | 0.5032 | 0.5806 | 0.7620 |
No log | 3.2609 | 300 | 0.5980 | 0.4582 | 0.5980 | 0.7733 |
No log | 3.2826 | 302 | 0.6140 | 0.4733 | 0.6140 | 0.7836 |
No log | 3.3043 | 304 | 0.5871 | 0.4623 | 0.5871 | 0.7663 |
No log | 3.3261 | 306 | 0.6022 | 0.5213 | 0.6022 | 0.7760 |
No log | 3.3478 | 308 | 0.5996 | 0.5012 | 0.5996 | 0.7743 |
No log | 3.3696 | 310 | 0.5904 | 0.4591 | 0.5904 | 0.7684 |
No log | 3.3913 | 312 | 0.6039 | 0.4703 | 0.6039 | 0.7771 |
No log | 3.4130 | 314 | 0.5890 | 0.4002 | 0.5890 | 0.7674 |
No log | 3.4348 | 316 | 0.6014 | 0.4235 | 0.6014 | 0.7755 |
No log | 3.4565 | 318 | 0.6468 | 0.5660 | 0.6468 | 0.8042 |
No log | 3.4783 | 320 | 0.6133 | 0.5089 | 0.6133 | 0.7831 |
No log | 3.5 | 322 | 0.5906 | 0.4657 | 0.5906 | 0.7685 |
No log | 3.5217 | 324 | 0.5734 | 0.4355 | 0.5734 | 0.7572 |
No log | 3.5435 | 326 | 0.5775 | 0.4400 | 0.5775 | 0.7599 |
No log | 3.5652 | 328 | 0.5981 | 0.4739 | 0.5981 | 0.7734 |
No log | 3.5870 | 330 | 0.6180 | 0.4448 | 0.6180 | 0.7861 |
No log | 3.6087 | 332 | 0.5896 | 0.3980 | 0.5896 | 0.7679 |
No log | 3.6304 | 334 | 0.5963 | 0.4255 | 0.5963 | 0.7722 |
No log | 3.6522 | 336 | 0.6013 | 0.4566 | 0.6013 | 0.7754 |
No log | 3.6739 | 338 | 0.6105 | 0.4868 | 0.6105 | 0.7813 |
No log | 3.6957 | 340 | 0.6400 | 0.4519 | 0.6400 | 0.8000 |
No log | 3.7174 | 342 | 0.6565 | 0.4496 | 0.6565 | 0.8103 |
No log | 3.7391 | 344 | 0.6068 | 0.4839 | 0.6068 | 0.7790 |
No log | 3.7609 | 346 | 0.5933 | 0.4614 | 0.5933 | 0.7702 |
No log | 3.7826 | 348 | 0.5962 | 0.4757 | 0.5962 | 0.7721 |
No log | 3.8043 | 350 | 0.6026 | 0.4512 | 0.6026 | 0.7763 |
No log | 3.8261 | 352 | 0.6720 | 0.4285 | 0.6720 | 0.8197 |
No log | 3.8478 | 354 | 0.6197 | 0.4353 | 0.6197 | 0.7872 |
No log | 3.8696 | 356 | 0.5757 | 0.4235 | 0.5757 | 0.7587 |
No log | 3.8913 | 358 | 0.6131 | 0.4598 | 0.6131 | 0.7830 |
No log | 3.9130 | 360 | 0.6223 | 0.4728 | 0.6223 | 0.7889 |
No log | 3.9348 | 362 | 0.5840 | 0.4632 | 0.5840 | 0.7642 |
No log | 3.9565 | 364 | 0.6425 | 0.4748 | 0.6425 | 0.8016 |
No log | 3.9783 | 366 | 0.6422 | 0.5010 | 0.6422 | 0.8014 |
No log | 4.0 | 368 | 0.6564 | 0.4748 | 0.6564 | 0.8102 |
No log | 4.0217 | 370 | 0.6238 | 0.5309 | 0.6238 | 0.7898 |
No log | 4.0435 | 372 | 0.6031 | 0.5061 | 0.6031 | 0.7766 |
No log | 4.0652 | 374 | 0.5892 | 0.5233 | 0.5892 | 0.7676 |
No log | 4.0870 | 376 | 0.5674 | 0.4482 | 0.5674 | 0.7532 |
No log | 4.1087 | 378 | 0.5651 | 0.4933 | 0.5651 | 0.7517 |
No log | 4.1304 | 380 | 0.5623 | 0.4977 | 0.5623 | 0.7498 |
No log | 4.1522 | 382 | 0.5697 | 0.5111 | 0.5697 | 0.7548 |
No log | 4.1739 | 384 | 0.5795 | 0.5122 | 0.5795 | 0.7613 |
No log | 4.1957 | 386 | 0.5862 | 0.4992 | 0.5862 | 0.7656 |
No log | 4.2174 | 388 | 0.6154 | 0.5364 | 0.6154 | 0.7845 |
No log | 4.2391 | 390 | 0.6902 | 0.5386 | 0.6902 | 0.8308 |
No log | 4.2609 | 392 | 0.6898 | 0.5535 | 0.6898 | 0.8305 |
No log | 4.2826 | 394 | 0.6113 | 0.4912 | 0.6113 | 0.7819 |
No log | 4.3043 | 396 | 0.5846 | 0.4573 | 0.5846 | 0.7646 |
No log | 4.3261 | 398 | 0.5943 | 0.5231 | 0.5943 | 0.7709 |
No log | 4.3478 | 400 | 0.5797 | 0.4339 | 0.5797 | 0.7614 |
No log | 4.3696 | 402 | 0.5677 | 0.4096 | 0.5677 | 0.7534 |
No log | 4.3913 | 404 | 0.5588 | 0.4620 | 0.5588 | 0.7475 |
No log | 4.4130 | 406 | 0.5552 | 0.4439 | 0.5552 | 0.7451 |
No log | 4.4348 | 408 | 0.5597 | 0.4712 | 0.5597 | 0.7481 |
No log | 4.4565 | 410 | 0.5651 | 0.4901 | 0.5651 | 0.7518 |
No log | 4.4783 | 412 | 0.5590 | 0.5465 | 0.5590 | 0.7477 |
No log | 4.5 | 414 | 0.5632 | 0.5672 | 0.5632 | 0.7505 |
No log | 4.5217 | 416 | 0.5860 | 0.5370 | 0.5860 | 0.7655 |
No log | 4.5435 | 418 | 0.5715 | 0.5370 | 0.5715 | 0.7560 |
No log | 4.5652 | 420 | 0.5775 | 0.5289 | 0.5775 | 0.7600 |
No log | 4.5870 | 422 | 0.5523 | 0.5584 | 0.5523 | 0.7432 |
No log | 4.6087 | 424 | 0.5527 | 0.5940 | 0.5527 | 0.7435 |
No log | 4.6304 | 426 | 0.5588 | 0.5935 | 0.5588 | 0.7475 |
No log | 4.6522 | 428 | 0.5857 | 0.5363 | 0.5857 | 0.7653 |
No log | 4.6739 | 430 | 0.5687 | 0.5790 | 0.5687 | 0.7541 |
No log | 4.6957 | 432 | 0.5670 | 0.5414 | 0.5670 | 0.7530 |
No log | 4.7174 | 434 | 0.6508 | 0.4137 | 0.6508 | 0.8067 |
No log | 4.7391 | 436 | 0.6567 | 0.4077 | 0.6567 | 0.8104 |
No log | 4.7609 | 438 | 0.6022 | 0.4898 | 0.6022 | 0.7760 |
No log | 4.7826 | 440 | 0.5876 | 0.5057 | 0.5876 | 0.7666 |
No log | 4.8043 | 442 | 0.5981 | 0.5649 | 0.5981 | 0.7733 |
No log | 4.8261 | 444 | 0.6367 | 0.5217 | 0.6367 | 0.7979 |
No log | 4.8478 | 446 | 0.6197 | 0.5264 | 0.6197 | 0.7872 |
No log | 4.8696 | 448 | 0.5717 | 0.5287 | 0.5717 | 0.7561 |
No log | 4.8913 | 450 | 0.5714 | 0.4655 | 0.5714 | 0.7559 |
No log | 4.9130 | 452 | 0.5774 | 0.4451 | 0.5774 | 0.7599 |
No log | 4.9348 | 454 | 0.5646 | 0.5260 | 0.5646 | 0.7514 |
No log | 4.9565 | 456 | 0.5643 | 0.5409 | 0.5643 | 0.7512 |
No log | 4.9783 | 458 | 0.5737 | 0.5287 | 0.5737 | 0.7574 |
No log | 5.0 | 460 | 0.5712 | 0.5247 | 0.5712 | 0.7558 |
No log | 5.0217 | 462 | 0.5849 | 0.5724 | 0.5849 | 0.7648 |
No log | 5.0435 | 464 | 0.5990 | 0.5462 | 0.5990 | 0.7740 |
No log | 5.0652 | 466 | 0.6392 | 0.4945 | 0.6392 | 0.7995 |
No log | 5.0870 | 468 | 0.6402 | 0.4895 | 0.6402 | 0.8001 |
No log | 5.1087 | 470 | 0.5894 | 0.4855 | 0.5894 | 0.7677 |
No log | 5.1304 | 472 | 0.5896 | 0.4992 | 0.5896 | 0.7678 |
No log | 5.1522 | 474 | 0.6103 | 0.5289 | 0.6103 | 0.7812 |
No log | 5.1739 | 476 | 0.6107 | 0.5378 | 0.6107 | 0.7814 |
No log | 5.1957 | 478 | 0.5791 | 0.4418 | 0.5791 | 0.7610 |
No log | 5.2174 | 480 | 0.5947 | 0.4458 | 0.5947 | 0.7711 |
No log | 5.2391 | 482 | 0.6036 | 0.4976 | 0.6036 | 0.7769 |
No log | 5.2609 | 484 | 0.5769 | 0.4513 | 0.5769 | 0.7595 |
No log | 5.2826 | 486 | 0.5696 | 0.4105 | 0.5696 | 0.7547 |
No log | 5.3043 | 488 | 0.5686 | 0.4545 | 0.5686 | 0.7540 |
No log | 5.3261 | 490 | 0.5654 | 0.4733 | 0.5654 | 0.7519 |
No log | 5.3478 | 492 | 0.5596 | 0.4200 | 0.5596 | 0.7480 |
No log | 5.3696 | 494 | 0.5581 | 0.4300 | 0.5581 | 0.7471 |
No log | 5.3913 | 496 | 0.5631 | 0.4440 | 0.5631 | 0.7504 |
No log | 5.4130 | 498 | 0.5787 | 0.4489 | 0.5787 | 0.7607 |
0.373 | 5.4348 | 500 | 0.6061 | 0.4910 | 0.6061 | 0.7786 |
0.373 | 5.4565 | 502 | 0.5845 | 0.4937 | 0.5845 | 0.7646 |
0.373 | 5.4783 | 504 | 0.5913 | 0.5090 | 0.5913 | 0.7689 |
0.373 | 5.5 | 506 | 0.5868 | 0.5124 | 0.5868 | 0.7660 |
0.373 | 5.5217 | 508 | 0.6091 | 0.4393 | 0.6091 | 0.7804 |
0.373 | 5.5435 | 510 | 0.6039 | 0.4393 | 0.6039 | 0.7771 |
0.373 | 5.5652 | 512 | 0.6530 | 0.4983 | 0.6530 | 0.8081 |
0.373 | 5.5870 | 514 | 0.6992 | 0.4816 | 0.6992 | 0.8362 |
0.373 | 5.6087 | 516 | 0.6450 | 0.4958 | 0.6450 | 0.8031 |
0.373 | 5.6304 | 518 | 0.5703 | 0.4824 | 0.5703 | 0.7552 |
0.373 | 5.6522 | 520 | 0.5639 | 0.4872 | 0.5639 | 0.7510 |
0.373 | 5.6739 | 522 | 0.5672 | 0.4840 | 0.5672 | 0.7531 |
0.373 | 5.6957 | 524 | 0.5806 | 0.4840 | 0.5806 | 0.7620 |
0.373 | 5.7174 | 526 | 0.6210 | 0.4609 | 0.6210 | 0.7880 |
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_k18_task2_organization
Base model
aubmindlab/bert-base-arabertv02