ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_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: 0.5593
- Qwk: 0.5334
- Mse: 0.5593
- Rmse: 0.7479
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 | 0.0377 | 2 | 4.1527 | -0.0404 | 4.1527 | 2.0378 |
No log | 0.0755 | 4 | 2.4871 | 0.0434 | 2.4871 | 1.5770 |
No log | 0.1132 | 6 | 1.2341 | 0.0356 | 1.2341 | 1.1109 |
No log | 0.1509 | 8 | 0.9441 | -0.0058 | 0.9441 | 0.9717 |
No log | 0.1887 | 10 | 0.8149 | 0.2269 | 0.8149 | 0.9027 |
No log | 0.2264 | 12 | 0.7949 | 0.2362 | 0.7949 | 0.8916 |
No log | 0.2642 | 14 | 0.8553 | 0.2253 | 0.8553 | 0.9248 |
No log | 0.3019 | 16 | 0.9681 | 0.0519 | 0.9681 | 0.9839 |
No log | 0.3396 | 18 | 0.9890 | 0.0243 | 0.9890 | 0.9945 |
No log | 0.3774 | 20 | 0.8300 | 0.2436 | 0.8300 | 0.9110 |
No log | 0.4151 | 22 | 0.7580 | 0.2167 | 0.7580 | 0.8706 |
No log | 0.4528 | 24 | 0.7610 | 0.2733 | 0.7610 | 0.8724 |
No log | 0.4906 | 26 | 0.8545 | 0.2515 | 0.8545 | 0.9244 |
No log | 0.5283 | 28 | 1.1635 | 0.0313 | 1.1635 | 1.0787 |
No log | 0.5660 | 30 | 1.5260 | 0.0104 | 1.5260 | 1.2353 |
No log | 0.6038 | 32 | 1.5154 | 0.0250 | 1.5154 | 1.2310 |
No log | 0.6415 | 34 | 1.1349 | 0.0848 | 1.1349 | 1.0653 |
No log | 0.6792 | 36 | 0.9751 | 0.1522 | 0.9751 | 0.9875 |
No log | 0.7170 | 38 | 0.9758 | 0.1806 | 0.9758 | 0.9879 |
No log | 0.7547 | 40 | 1.2006 | 0.1610 | 1.2006 | 1.0957 |
No log | 0.7925 | 42 | 1.5482 | 0.1260 | 1.5482 | 1.2443 |
No log | 0.8302 | 44 | 1.8100 | 0.1141 | 1.8100 | 1.3454 |
No log | 0.8679 | 46 | 1.7220 | 0.1117 | 1.7220 | 1.3123 |
No log | 0.9057 | 48 | 1.3512 | 0.0677 | 1.3512 | 1.1624 |
No log | 0.9434 | 50 | 0.9244 | 0.1566 | 0.9244 | 0.9615 |
No log | 0.9811 | 52 | 0.7741 | 0.3191 | 0.7741 | 0.8799 |
No log | 1.0189 | 54 | 0.7661 | 0.3025 | 0.7661 | 0.8753 |
No log | 1.0566 | 56 | 0.8182 | 0.2714 | 0.8182 | 0.9045 |
No log | 1.0943 | 58 | 0.9831 | 0.1010 | 0.9831 | 0.9915 |
No log | 1.1321 | 60 | 1.2497 | 0.0262 | 1.2497 | 1.1179 |
No log | 1.1698 | 62 | 1.3611 | 0.1045 | 1.3611 | 1.1667 |
No log | 1.2075 | 64 | 1.0782 | 0.2484 | 1.0782 | 1.0383 |
No log | 1.2453 | 66 | 0.9136 | 0.2685 | 0.9136 | 0.9558 |
No log | 1.2830 | 68 | 0.6685 | 0.4460 | 0.6685 | 0.8176 |
No log | 1.3208 | 70 | 0.6296 | 0.4168 | 0.6296 | 0.7935 |
No log | 1.3585 | 72 | 0.6235 | 0.4479 | 0.6235 | 0.7896 |
No log | 1.3962 | 74 | 0.6388 | 0.4605 | 0.6388 | 0.7992 |
No log | 1.4340 | 76 | 0.7482 | 0.4264 | 0.7482 | 0.8650 |
No log | 1.4717 | 78 | 0.8236 | 0.3415 | 0.8236 | 0.9075 |
No log | 1.5094 | 80 | 0.9397 | 0.3144 | 0.9397 | 0.9694 |
No log | 1.5472 | 82 | 0.7928 | 0.3630 | 0.7928 | 0.8904 |
No log | 1.5849 | 84 | 0.6338 | 0.4663 | 0.6338 | 0.7961 |
No log | 1.6226 | 86 | 0.6975 | 0.4904 | 0.6975 | 0.8352 |
No log | 1.6604 | 88 | 0.6444 | 0.4709 | 0.6444 | 0.8027 |
No log | 1.6981 | 90 | 0.7076 | 0.4003 | 0.7076 | 0.8412 |
No log | 1.7358 | 92 | 1.1179 | 0.3303 | 1.1179 | 1.0573 |
No log | 1.7736 | 94 | 1.6207 | 0.2243 | 1.6207 | 1.2731 |
No log | 1.8113 | 96 | 1.5699 | 0.1933 | 1.5699 | 1.2529 |
No log | 1.8491 | 98 | 1.1673 | 0.1207 | 1.1673 | 1.0804 |
No log | 1.8868 | 100 | 0.9960 | 0.2491 | 0.9960 | 0.9980 |
No log | 1.9245 | 102 | 0.8339 | 0.2669 | 0.8339 | 0.9132 |
No log | 1.9623 | 104 | 0.7319 | 0.2855 | 0.7319 | 0.8555 |
No log | 2.0 | 106 | 0.6367 | 0.3612 | 0.6367 | 0.7979 |
No log | 2.0377 | 108 | 0.5649 | 0.4811 | 0.5649 | 0.7516 |
No log | 2.0755 | 110 | 0.5627 | 0.4653 | 0.5627 | 0.7502 |
No log | 2.1132 | 112 | 0.5675 | 0.4977 | 0.5675 | 0.7533 |
No log | 2.1509 | 114 | 0.5910 | 0.4736 | 0.5910 | 0.7687 |
No log | 2.1887 | 116 | 0.7443 | 0.4933 | 0.7443 | 0.8627 |
No log | 2.2264 | 118 | 0.8648 | 0.5245 | 0.8648 | 0.9299 |
No log | 2.2642 | 120 | 0.8289 | 0.5338 | 0.8289 | 0.9105 |
No log | 2.3019 | 122 | 0.6602 | 0.5545 | 0.6602 | 0.8125 |
No log | 2.3396 | 124 | 0.6079 | 0.5584 | 0.6079 | 0.7797 |
No log | 2.3774 | 126 | 0.6089 | 0.5134 | 0.6089 | 0.7803 |
No log | 2.4151 | 128 | 0.6305 | 0.5609 | 0.6305 | 0.7941 |
No log | 2.4528 | 130 | 0.6111 | 0.5520 | 0.6111 | 0.7817 |
No log | 2.4906 | 132 | 0.6351 | 0.5093 | 0.6351 | 0.7969 |
No log | 2.5283 | 134 | 0.6271 | 0.5211 | 0.6271 | 0.7919 |
No log | 2.5660 | 136 | 0.6080 | 0.5431 | 0.6080 | 0.7797 |
No log | 2.6038 | 138 | 0.6050 | 0.6158 | 0.6050 | 0.7778 |
No log | 2.6415 | 140 | 0.7075 | 0.5527 | 0.7075 | 0.8411 |
No log | 2.6792 | 142 | 0.9860 | 0.4360 | 0.9860 | 0.9930 |
No log | 2.7170 | 144 | 0.9178 | 0.4956 | 0.9178 | 0.9580 |
No log | 2.7547 | 146 | 0.6384 | 0.6082 | 0.6384 | 0.7990 |
No log | 2.7925 | 148 | 0.6358 | 0.5209 | 0.6358 | 0.7974 |
No log | 2.8302 | 150 | 0.6219 | 0.5416 | 0.6219 | 0.7886 |
No log | 2.8679 | 152 | 0.5711 | 0.5817 | 0.5711 | 0.7557 |
No log | 2.9057 | 154 | 0.5815 | 0.5481 | 0.5815 | 0.7625 |
No log | 2.9434 | 156 | 0.6699 | 0.5311 | 0.6699 | 0.8185 |
No log | 2.9811 | 158 | 0.6176 | 0.5180 | 0.6176 | 0.7859 |
No log | 3.0189 | 160 | 0.6298 | 0.4968 | 0.6298 | 0.7936 |
No log | 3.0566 | 162 | 0.8900 | 0.4417 | 0.8900 | 0.9434 |
No log | 3.0943 | 164 | 0.8626 | 0.4547 | 0.8626 | 0.9287 |
No log | 3.1321 | 166 | 0.6502 | 0.4636 | 0.6502 | 0.8063 |
No log | 3.1698 | 168 | 0.5843 | 0.4781 | 0.5843 | 0.7644 |
No log | 3.2075 | 170 | 0.8061 | 0.4296 | 0.8061 | 0.8978 |
No log | 3.2453 | 172 | 0.8924 | 0.4632 | 0.8924 | 0.9446 |
No log | 3.2830 | 174 | 0.7268 | 0.5109 | 0.7268 | 0.8525 |
No log | 3.3208 | 176 | 0.6315 | 0.5245 | 0.6315 | 0.7947 |
No log | 3.3585 | 178 | 0.6682 | 0.4943 | 0.6682 | 0.8175 |
No log | 3.3962 | 180 | 0.6337 | 0.4664 | 0.6337 | 0.7960 |
No log | 3.4340 | 182 | 0.6963 | 0.5845 | 0.6963 | 0.8344 |
No log | 3.4717 | 184 | 0.8203 | 0.5190 | 0.8203 | 0.9057 |
No log | 3.5094 | 186 | 0.7792 | 0.5502 | 0.7792 | 0.8827 |
No log | 3.5472 | 188 | 0.6949 | 0.4656 | 0.6949 | 0.8336 |
No log | 3.5849 | 190 | 0.8245 | 0.4670 | 0.8245 | 0.9080 |
No log | 3.6226 | 192 | 0.8151 | 0.4621 | 0.8151 | 0.9028 |
No log | 3.6604 | 194 | 0.6838 | 0.5047 | 0.6838 | 0.8269 |
No log | 3.6981 | 196 | 0.7234 | 0.5203 | 0.7234 | 0.8505 |
No log | 3.7358 | 198 | 0.8999 | 0.4467 | 0.8999 | 0.9486 |
No log | 3.7736 | 200 | 0.9207 | 0.4403 | 0.9207 | 0.9595 |
No log | 3.8113 | 202 | 0.7097 | 0.5181 | 0.7097 | 0.8424 |
No log | 3.8491 | 204 | 0.6060 | 0.5329 | 0.6060 | 0.7784 |
No log | 3.8868 | 206 | 0.6171 | 0.5362 | 0.6171 | 0.7855 |
No log | 3.9245 | 208 | 0.6246 | 0.5272 | 0.6246 | 0.7903 |
No log | 3.9623 | 210 | 0.6901 | 0.4989 | 0.6901 | 0.8307 |
No log | 4.0 | 212 | 0.7187 | 0.4352 | 0.7187 | 0.8478 |
No log | 4.0377 | 214 | 0.6174 | 0.5095 | 0.6174 | 0.7858 |
No log | 4.0755 | 216 | 0.5955 | 0.5212 | 0.5955 | 0.7717 |
No log | 4.1132 | 218 | 0.6339 | 0.5279 | 0.6339 | 0.7962 |
No log | 4.1509 | 220 | 0.6496 | 0.5617 | 0.6496 | 0.8060 |
No log | 4.1887 | 222 | 0.6744 | 0.5945 | 0.6744 | 0.8212 |
No log | 4.2264 | 224 | 0.7436 | 0.5331 | 0.7436 | 0.8623 |
No log | 4.2642 | 226 | 0.6859 | 0.5310 | 0.6859 | 0.8282 |
No log | 4.3019 | 228 | 0.5818 | 0.5814 | 0.5818 | 0.7628 |
No log | 4.3396 | 230 | 0.5693 | 0.5325 | 0.5693 | 0.7545 |
No log | 4.3774 | 232 | 0.5764 | 0.4553 | 0.5764 | 0.7592 |
No log | 4.4151 | 234 | 0.5790 | 0.5762 | 0.5790 | 0.7609 |
No log | 4.4528 | 236 | 0.5795 | 0.6004 | 0.5795 | 0.7612 |
No log | 4.4906 | 238 | 0.5819 | 0.5951 | 0.5819 | 0.7628 |
No log | 4.5283 | 240 | 0.6029 | 0.5674 | 0.6029 | 0.7764 |
No log | 4.5660 | 242 | 0.6126 | 0.5339 | 0.6126 | 0.7827 |
No log | 4.6038 | 244 | 0.6763 | 0.5260 | 0.6763 | 0.8224 |
No log | 4.6415 | 246 | 0.6287 | 0.5201 | 0.6287 | 0.7929 |
No log | 4.6792 | 248 | 0.5628 | 0.5863 | 0.5628 | 0.7502 |
No log | 4.7170 | 250 | 0.5642 | 0.5327 | 0.5642 | 0.7511 |
No log | 4.7547 | 252 | 0.5664 | 0.5415 | 0.5664 | 0.7526 |
No log | 4.7925 | 254 | 0.6191 | 0.5821 | 0.6191 | 0.7868 |
No log | 4.8302 | 256 | 0.8312 | 0.4632 | 0.8312 | 0.9117 |
No log | 4.8679 | 258 | 0.8583 | 0.4340 | 0.8583 | 0.9264 |
No log | 4.9057 | 260 | 0.7139 | 0.5356 | 0.7139 | 0.8450 |
No log | 4.9434 | 262 | 0.6198 | 0.5717 | 0.6198 | 0.7873 |
No log | 4.9811 | 264 | 0.6162 | 0.5224 | 0.6162 | 0.7850 |
No log | 5.0189 | 266 | 0.6217 | 0.5121 | 0.6217 | 0.7885 |
No log | 5.0566 | 268 | 0.6495 | 0.5387 | 0.6495 | 0.8059 |
No log | 5.0943 | 270 | 0.6278 | 0.5574 | 0.6278 | 0.7923 |
No log | 5.1321 | 272 | 0.6246 | 0.5351 | 0.6246 | 0.7903 |
No log | 5.1698 | 274 | 0.6241 | 0.5301 | 0.6241 | 0.7900 |
No log | 5.2075 | 276 | 0.5991 | 0.4667 | 0.5991 | 0.7740 |
No log | 5.2453 | 278 | 0.6345 | 0.4702 | 0.6345 | 0.7966 |
No log | 5.2830 | 280 | 0.6000 | 0.4764 | 0.6000 | 0.7746 |
No log | 5.3208 | 282 | 0.6066 | 0.5529 | 0.6066 | 0.7788 |
No log | 5.3585 | 284 | 0.7885 | 0.5094 | 0.7885 | 0.8880 |
No log | 5.3962 | 286 | 0.8024 | 0.5114 | 0.8024 | 0.8958 |
No log | 5.4340 | 288 | 0.6875 | 0.5354 | 0.6875 | 0.8292 |
No log | 5.4717 | 290 | 0.6046 | 0.6020 | 0.6046 | 0.7776 |
No log | 5.5094 | 292 | 0.5876 | 0.5374 | 0.5876 | 0.7666 |
No log | 5.5472 | 294 | 0.5828 | 0.5128 | 0.5828 | 0.7634 |
No log | 5.5849 | 296 | 0.6235 | 0.5876 | 0.6235 | 0.7896 |
No log | 5.6226 | 298 | 0.6649 | 0.5626 | 0.6649 | 0.8154 |
No log | 5.6604 | 300 | 0.6440 | 0.5699 | 0.6440 | 0.8025 |
No log | 5.6981 | 302 | 0.6081 | 0.5449 | 0.6081 | 0.7798 |
No log | 5.7358 | 304 | 0.5981 | 0.5042 | 0.5981 | 0.7733 |
No log | 5.7736 | 306 | 0.5990 | 0.4993 | 0.5990 | 0.7740 |
No log | 5.8113 | 308 | 0.6099 | 0.5924 | 0.6099 | 0.7810 |
No log | 5.8491 | 310 | 0.6787 | 0.5644 | 0.6787 | 0.8238 |
No log | 5.8868 | 312 | 0.6876 | 0.5496 | 0.6876 | 0.8292 |
No log | 5.9245 | 314 | 0.6294 | 0.5897 | 0.6294 | 0.7933 |
No log | 5.9623 | 316 | 0.6114 | 0.4910 | 0.6114 | 0.7819 |
No log | 6.0 | 318 | 0.6274 | 0.5336 | 0.6274 | 0.7921 |
No log | 6.0377 | 320 | 0.6583 | 0.4511 | 0.6583 | 0.8113 |
No log | 6.0755 | 322 | 0.6073 | 0.5153 | 0.6073 | 0.7793 |
No log | 6.1132 | 324 | 0.5807 | 0.4539 | 0.5807 | 0.7621 |
No log | 6.1509 | 326 | 0.5965 | 0.4366 | 0.5965 | 0.7723 |
No log | 6.1887 | 328 | 0.5962 | 0.5242 | 0.5962 | 0.7722 |
No log | 6.2264 | 330 | 0.6573 | 0.5713 | 0.6573 | 0.8108 |
No log | 6.2642 | 332 | 0.6930 | 0.5311 | 0.6930 | 0.8325 |
No log | 6.3019 | 334 | 0.7374 | 0.5030 | 0.7374 | 0.8587 |
No log | 6.3396 | 336 | 0.7997 | 0.4945 | 0.7997 | 0.8942 |
No log | 6.3774 | 338 | 0.7953 | 0.4704 | 0.7953 | 0.8918 |
No log | 6.4151 | 340 | 0.6883 | 0.4985 | 0.6883 | 0.8297 |
No log | 6.4528 | 342 | 0.6195 | 0.5427 | 0.6195 | 0.7871 |
No log | 6.4906 | 344 | 0.6172 | 0.5607 | 0.6172 | 0.7856 |
No log | 6.5283 | 346 | 0.6224 | 0.5296 | 0.6224 | 0.7889 |
No log | 6.5660 | 348 | 0.6183 | 0.5475 | 0.6183 | 0.7863 |
No log | 6.6038 | 350 | 0.6133 | 0.5338 | 0.6133 | 0.7831 |
No log | 6.6415 | 352 | 0.6064 | 0.5271 | 0.6064 | 0.7787 |
No log | 6.6792 | 354 | 0.5855 | 0.5085 | 0.5855 | 0.7652 |
No log | 6.7170 | 356 | 0.5779 | 0.5175 | 0.5779 | 0.7602 |
No log | 6.7547 | 358 | 0.5603 | 0.4474 | 0.5603 | 0.7486 |
No log | 6.7925 | 360 | 0.5550 | 0.4798 | 0.5550 | 0.7450 |
No log | 6.8302 | 362 | 0.5628 | 0.5034 | 0.5628 | 0.7502 |
No log | 6.8679 | 364 | 0.5652 | 0.5130 | 0.5652 | 0.7518 |
No log | 6.9057 | 366 | 0.5811 | 0.5633 | 0.5811 | 0.7623 |
No log | 6.9434 | 368 | 0.5746 | 0.5205 | 0.5746 | 0.7580 |
No log | 6.9811 | 370 | 0.5641 | 0.5226 | 0.5641 | 0.7511 |
No log | 7.0189 | 372 | 0.5756 | 0.5137 | 0.5756 | 0.7587 |
No log | 7.0566 | 374 | 0.5646 | 0.5196 | 0.5646 | 0.7514 |
No log | 7.0943 | 376 | 0.5819 | 0.5242 | 0.5819 | 0.7628 |
No log | 7.1321 | 378 | 0.5929 | 0.5356 | 0.5929 | 0.7700 |
No log | 7.1698 | 380 | 0.5892 | 0.5342 | 0.5892 | 0.7676 |
No log | 7.2075 | 382 | 0.5727 | 0.5031 | 0.5727 | 0.7568 |
No log | 7.2453 | 384 | 0.5550 | 0.5246 | 0.5550 | 0.7450 |
No log | 7.2830 | 386 | 0.5491 | 0.4923 | 0.5491 | 0.7410 |
No log | 7.3208 | 388 | 0.5390 | 0.4686 | 0.5390 | 0.7341 |
No log | 7.3585 | 390 | 0.5402 | 0.4870 | 0.5402 | 0.7350 |
No log | 7.3962 | 392 | 0.5538 | 0.5357 | 0.5538 | 0.7442 |
No log | 7.4340 | 394 | 0.5899 | 0.5468 | 0.5899 | 0.7681 |
No log | 7.4717 | 396 | 0.6340 | 0.5473 | 0.6340 | 0.7962 |
No log | 7.5094 | 398 | 0.5941 | 0.5264 | 0.5941 | 0.7708 |
No log | 7.5472 | 400 | 0.5682 | 0.5372 | 0.5682 | 0.7538 |
No log | 7.5849 | 402 | 0.5656 | 0.5684 | 0.5656 | 0.7521 |
No log | 7.6226 | 404 | 0.5842 | 0.5408 | 0.5842 | 0.7643 |
No log | 7.6604 | 406 | 0.6009 | 0.5614 | 0.6009 | 0.7752 |
No log | 7.6981 | 408 | 0.5433 | 0.5394 | 0.5433 | 0.7371 |
No log | 7.7358 | 410 | 0.5309 | 0.5308 | 0.5309 | 0.7286 |
No log | 7.7736 | 412 | 0.5397 | 0.5158 | 0.5397 | 0.7347 |
No log | 7.8113 | 414 | 0.5790 | 0.5835 | 0.5790 | 0.7609 |
No log | 7.8491 | 416 | 0.5992 | 0.5869 | 0.5992 | 0.7741 |
No log | 7.8868 | 418 | 0.5774 | 0.5907 | 0.5774 | 0.7599 |
No log | 7.9245 | 420 | 0.5937 | 0.6116 | 0.5937 | 0.7705 |
No log | 7.9623 | 422 | 0.6061 | 0.5969 | 0.6061 | 0.7785 |
No log | 8.0 | 424 | 0.5778 | 0.5878 | 0.5778 | 0.7602 |
No log | 8.0377 | 426 | 0.5562 | 0.5945 | 0.5562 | 0.7458 |
No log | 8.0755 | 428 | 0.5639 | 0.5602 | 0.5639 | 0.7509 |
No log | 8.1132 | 430 | 0.5490 | 0.5223 | 0.5490 | 0.7410 |
No log | 8.1509 | 432 | 0.5539 | 0.4687 | 0.5539 | 0.7443 |
No log | 8.1887 | 434 | 0.6637 | 0.5226 | 0.6637 | 0.8147 |
No log | 8.2264 | 436 | 0.7539 | 0.4587 | 0.7539 | 0.8683 |
No log | 8.2642 | 438 | 0.7092 | 0.4952 | 0.7092 | 0.8422 |
No log | 8.3019 | 440 | 0.6126 | 0.5316 | 0.6126 | 0.7827 |
No log | 8.3396 | 442 | 0.5777 | 0.5147 | 0.5777 | 0.7601 |
No log | 8.3774 | 444 | 0.5893 | 0.5266 | 0.5893 | 0.7676 |
No log | 8.4151 | 446 | 0.5962 | 0.5461 | 0.5962 | 0.7721 |
No log | 8.4528 | 448 | 0.5849 | 0.5543 | 0.5849 | 0.7648 |
No log | 8.4906 | 450 | 0.6028 | 0.5627 | 0.6028 | 0.7764 |
No log | 8.5283 | 452 | 0.7330 | 0.5020 | 0.7330 | 0.8562 |
No log | 8.5660 | 454 | 0.8199 | 0.4112 | 0.8199 | 0.9055 |
No log | 8.6038 | 456 | 0.7784 | 0.4760 | 0.7784 | 0.8823 |
No log | 8.6415 | 458 | 0.6958 | 0.5413 | 0.6958 | 0.8341 |
No log | 8.6792 | 460 | 0.6342 | 0.5522 | 0.6342 | 0.7964 |
No log | 8.7170 | 462 | 0.5613 | 0.5547 | 0.5613 | 0.7492 |
No log | 8.7547 | 464 | 0.5453 | 0.5459 | 0.5453 | 0.7384 |
No log | 8.7925 | 466 | 0.5561 | 0.5249 | 0.5561 | 0.7457 |
No log | 8.8302 | 468 | 0.6415 | 0.5384 | 0.6415 | 0.8010 |
No log | 8.8679 | 470 | 0.6975 | 0.5089 | 0.6975 | 0.8352 |
No log | 8.9057 | 472 | 0.6516 | 0.5268 | 0.6516 | 0.8072 |
No log | 8.9434 | 474 | 0.5997 | 0.5444 | 0.5997 | 0.7744 |
No log | 8.9811 | 476 | 0.6267 | 0.5226 | 0.6267 | 0.7916 |
No log | 9.0189 | 478 | 0.6209 | 0.5226 | 0.6209 | 0.7880 |
No log | 9.0566 | 480 | 0.5916 | 0.5506 | 0.5916 | 0.7691 |
No log | 9.0943 | 482 | 0.6229 | 0.5579 | 0.6229 | 0.7892 |
No log | 9.1321 | 484 | 0.6581 | 0.5379 | 0.6581 | 0.8112 |
No log | 9.1698 | 486 | 0.6202 | 0.5579 | 0.6202 | 0.7876 |
No log | 9.2075 | 488 | 0.6213 | 0.5782 | 0.6213 | 0.7883 |
No log | 9.2453 | 490 | 0.5896 | 0.5837 | 0.5896 | 0.7678 |
No log | 9.2830 | 492 | 0.6180 | 0.5777 | 0.6180 | 0.7861 |
No log | 9.3208 | 494 | 0.6117 | 0.5816 | 0.6117 | 0.7821 |
No log | 9.3585 | 496 | 0.5963 | 0.5816 | 0.5963 | 0.7722 |
No log | 9.3962 | 498 | 0.5850 | 0.5589 | 0.5850 | 0.7649 |
0.3832 | 9.4340 | 500 | 0.5636 | 0.5383 | 0.5636 | 0.7508 |
0.3832 | 9.4717 | 502 | 0.5952 | 0.5438 | 0.5952 | 0.7715 |
0.3832 | 9.5094 | 504 | 0.5839 | 0.5414 | 0.5839 | 0.7642 |
0.3832 | 9.5472 | 506 | 0.5680 | 0.5518 | 0.5680 | 0.7537 |
0.3832 | 9.5849 | 508 | 0.5741 | 0.5864 | 0.5741 | 0.7577 |
0.3832 | 9.6226 | 510 | 0.5831 | 0.5864 | 0.5831 | 0.7636 |
0.3832 | 9.6604 | 512 | 0.6139 | 0.5377 | 0.6139 | 0.7835 |
0.3832 | 9.6981 | 514 | 0.6178 | 0.5524 | 0.6178 | 0.7860 |
0.3832 | 9.7358 | 516 | 0.6560 | 0.5144 | 0.6560 | 0.8100 |
0.3832 | 9.7736 | 518 | 0.6814 | 0.5033 | 0.6814 | 0.8254 |
0.3832 | 9.8113 | 520 | 0.7189 | 0.4796 | 0.7189 | 0.8479 |
0.3832 | 9.8491 | 522 | 0.6564 | 0.4996 | 0.6564 | 0.8102 |
0.3832 | 9.8868 | 524 | 0.5593 | 0.5334 | 0.5593 | 0.7479 |
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_k10_task2_organization
Base model
aubmindlab/bert-base-arabertv02