ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k7_task7_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: 0.7143
- Qwk: 0.4723
- Mse: 0.7143
- Rmse: 0.8451
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 | 2.5926 | -0.0593 | 2.5926 | 1.6101 |
| No log | 0.1081 | 4 | 1.4086 | 0.0721 | 1.4086 | 1.1869 |
| No log | 0.1622 | 6 | 0.9673 | -0.0970 | 0.9673 | 0.9835 |
| No log | 0.2162 | 8 | 0.6863 | 0.1633 | 0.6863 | 0.8285 |
| No log | 0.2703 | 10 | 0.6376 | 0.2843 | 0.6376 | 0.7985 |
| No log | 0.3243 | 12 | 0.6505 | 0.5083 | 0.6505 | 0.8065 |
| No log | 0.3784 | 14 | 1.0010 | 0.2207 | 1.0010 | 1.0005 |
| No log | 0.4324 | 16 | 0.7519 | 0.4922 | 0.7519 | 0.8671 |
| No log | 0.4865 | 18 | 0.6131 | 0.5841 | 0.6131 | 0.7830 |
| No log | 0.5405 | 20 | 0.5142 | 0.6156 | 0.5142 | 0.7170 |
| No log | 0.5946 | 22 | 0.5644 | 0.3942 | 0.5644 | 0.7513 |
| No log | 0.6486 | 24 | 0.5807 | 0.3372 | 0.5807 | 0.7621 |
| No log | 0.7027 | 26 | 0.5338 | 0.4238 | 0.5338 | 0.7306 |
| No log | 0.7568 | 28 | 0.5604 | 0.4677 | 0.5604 | 0.7486 |
| No log | 0.8108 | 30 | 0.5541 | 0.5222 | 0.5541 | 0.7444 |
| No log | 0.8649 | 32 | 0.5157 | 0.4044 | 0.5157 | 0.7181 |
| No log | 0.9189 | 34 | 0.6586 | 0.4482 | 0.6586 | 0.8115 |
| No log | 0.9730 | 36 | 0.6796 | 0.4482 | 0.6796 | 0.8244 |
| No log | 1.0270 | 38 | 0.6332 | 0.4568 | 0.6332 | 0.7957 |
| No log | 1.0811 | 40 | 0.5133 | 0.4722 | 0.5133 | 0.7164 |
| No log | 1.1351 | 42 | 0.5296 | 0.5414 | 0.5296 | 0.7277 |
| No log | 1.1892 | 44 | 0.5374 | 0.4958 | 0.5374 | 0.7331 |
| No log | 1.2432 | 46 | 0.5414 | 0.4701 | 0.5414 | 0.7358 |
| No log | 1.2973 | 48 | 0.5436 | 0.4322 | 0.5436 | 0.7373 |
| No log | 1.3514 | 50 | 0.5501 | 0.4019 | 0.5501 | 0.7417 |
| No log | 1.4054 | 52 | 0.6804 | 0.3777 | 0.6804 | 0.8248 |
| No log | 1.4595 | 54 | 0.7890 | 0.3777 | 0.7890 | 0.8883 |
| No log | 1.5135 | 56 | 0.8642 | 0.3538 | 0.8642 | 0.9296 |
| No log | 1.5676 | 58 | 0.6415 | 0.4089 | 0.6415 | 0.8009 |
| No log | 1.6216 | 60 | 0.5831 | 0.4659 | 0.5831 | 0.7636 |
| No log | 1.6757 | 62 | 0.5918 | 0.4596 | 0.5918 | 0.7693 |
| No log | 1.7297 | 64 | 0.7086 | 0.4243 | 0.7086 | 0.8418 |
| No log | 1.7838 | 66 | 0.7863 | 0.3867 | 0.7863 | 0.8868 |
| No log | 1.8378 | 68 | 0.7402 | 0.3867 | 0.7402 | 0.8604 |
| No log | 1.8919 | 70 | 0.6206 | 0.4954 | 0.6206 | 0.7878 |
| No log | 1.9459 | 72 | 0.6142 | 0.5164 | 0.6142 | 0.7837 |
| No log | 2.0 | 74 | 0.6046 | 0.4889 | 0.6046 | 0.7775 |
| No log | 2.0541 | 76 | 0.6450 | 0.4777 | 0.6450 | 0.8031 |
| No log | 2.1081 | 78 | 0.6675 | 0.4836 | 0.6675 | 0.8170 |
| No log | 2.1622 | 80 | 0.6190 | 0.4864 | 0.6190 | 0.7868 |
| No log | 2.2162 | 82 | 0.5859 | 0.5034 | 0.5859 | 0.7655 |
| No log | 2.2703 | 84 | 0.6104 | 0.4642 | 0.6104 | 0.7813 |
| No log | 2.3243 | 86 | 0.7062 | 0.3913 | 0.7062 | 0.8404 |
| No log | 2.3784 | 88 | 0.7241 | 0.3782 | 0.7241 | 0.8510 |
| No log | 2.4324 | 90 | 0.8163 | 0.4258 | 0.8163 | 0.9035 |
| No log | 2.4865 | 92 | 0.7084 | 0.4474 | 0.7084 | 0.8417 |
| No log | 2.5405 | 94 | 0.5330 | 0.5323 | 0.5330 | 0.7301 |
| No log | 2.5946 | 96 | 0.5395 | 0.5687 | 0.5395 | 0.7345 |
| No log | 2.6486 | 98 | 0.5469 | 0.5904 | 0.5469 | 0.7396 |
| No log | 2.7027 | 100 | 0.5232 | 0.5476 | 0.5232 | 0.7233 |
| No log | 2.7568 | 102 | 0.5260 | 0.5450 | 0.5260 | 0.7253 |
| No log | 2.8108 | 104 | 0.5858 | 0.5636 | 0.5858 | 0.7654 |
| No log | 2.8649 | 106 | 0.9177 | 0.4240 | 0.9177 | 0.9579 |
| No log | 2.9189 | 108 | 0.8737 | 0.4430 | 0.8737 | 0.9347 |
| No log | 2.9730 | 110 | 0.5681 | 0.5607 | 0.5681 | 0.7538 |
| No log | 3.0270 | 112 | 0.6510 | 0.4684 | 0.6510 | 0.8068 |
| No log | 3.0811 | 114 | 0.6547 | 0.4457 | 0.6547 | 0.8091 |
| No log | 3.1351 | 116 | 0.5462 | 0.4678 | 0.5462 | 0.7391 |
| No log | 3.1892 | 118 | 0.7471 | 0.4743 | 0.7471 | 0.8643 |
| No log | 3.2432 | 120 | 0.8099 | 0.4479 | 0.8099 | 0.8999 |
| No log | 3.2973 | 122 | 0.5906 | 0.4981 | 0.5906 | 0.7685 |
| No log | 3.3514 | 124 | 0.5881 | 0.4532 | 0.5881 | 0.7669 |
| No log | 3.4054 | 126 | 0.5967 | 0.4806 | 0.5967 | 0.7724 |
| No log | 3.4595 | 128 | 0.5472 | 0.5383 | 0.5472 | 0.7397 |
| No log | 3.5135 | 130 | 0.6402 | 0.5298 | 0.6402 | 0.8001 |
| No log | 3.5676 | 132 | 0.5955 | 0.5414 | 0.5955 | 0.7717 |
| No log | 3.6216 | 134 | 0.5479 | 0.5574 | 0.5479 | 0.7402 |
| No log | 3.6757 | 136 | 0.7060 | 0.4862 | 0.7060 | 0.8403 |
| No log | 3.7297 | 138 | 0.8519 | 0.4232 | 0.8519 | 0.9230 |
| No log | 3.7838 | 140 | 0.8188 | 0.4835 | 0.8188 | 0.9049 |
| No log | 3.8378 | 142 | 0.6571 | 0.4788 | 0.6571 | 0.8106 |
| No log | 3.8919 | 144 | 0.5447 | 0.5115 | 0.5447 | 0.7381 |
| No log | 3.9459 | 146 | 0.5310 | 0.5488 | 0.5310 | 0.7287 |
| No log | 4.0 | 148 | 0.5727 | 0.4737 | 0.5727 | 0.7567 |
| No log | 4.0541 | 150 | 0.5917 | 0.4836 | 0.5917 | 0.7692 |
| No log | 4.1081 | 152 | 0.5577 | 0.4562 | 0.5577 | 0.7468 |
| No log | 4.1622 | 154 | 0.5261 | 0.4972 | 0.5261 | 0.7253 |
| No log | 4.2162 | 156 | 0.5364 | 0.5208 | 0.5364 | 0.7324 |
| No log | 4.2703 | 158 | 0.5286 | 0.4762 | 0.5286 | 0.7271 |
| No log | 4.3243 | 160 | 0.5288 | 0.4762 | 0.5288 | 0.7272 |
| No log | 4.3784 | 162 | 0.5406 | 0.5356 | 0.5406 | 0.7352 |
| No log | 4.4324 | 164 | 0.5900 | 0.5763 | 0.5900 | 0.7681 |
| No log | 4.4865 | 166 | 0.6806 | 0.5003 | 0.6806 | 0.8250 |
| No log | 4.5405 | 168 | 0.6663 | 0.5460 | 0.6663 | 0.8163 |
| No log | 4.5946 | 170 | 0.5547 | 0.5483 | 0.5547 | 0.7448 |
| No log | 4.6486 | 172 | 0.5400 | 0.5452 | 0.5400 | 0.7349 |
| No log | 4.7027 | 174 | 0.5510 | 0.5178 | 0.5510 | 0.7423 |
| No log | 4.7568 | 176 | 0.5483 | 0.5178 | 0.5483 | 0.7404 |
| No log | 4.8108 | 178 | 0.5461 | 0.4147 | 0.5461 | 0.7390 |
| No log | 4.8649 | 180 | 0.6749 | 0.4307 | 0.6749 | 0.8215 |
| No log | 4.9189 | 182 | 0.6948 | 0.4307 | 0.6948 | 0.8335 |
| No log | 4.9730 | 184 | 0.5772 | 0.4430 | 0.5772 | 0.7598 |
| No log | 5.0270 | 186 | 0.5469 | 0.5098 | 0.5469 | 0.7395 |
| No log | 5.0811 | 188 | 0.5375 | 0.5682 | 0.5375 | 0.7332 |
| No log | 5.1351 | 190 | 0.5287 | 0.5476 | 0.5287 | 0.7271 |
| No log | 5.1892 | 192 | 0.5377 | 0.5753 | 0.5377 | 0.7333 |
| No log | 5.2432 | 194 | 0.7188 | 0.4085 | 0.7188 | 0.8478 |
| No log | 5.2973 | 196 | 0.9028 | 0.4503 | 0.9028 | 0.9502 |
| No log | 5.3514 | 198 | 0.8046 | 0.4044 | 0.8046 | 0.8970 |
| No log | 5.4054 | 200 | 0.6016 | 0.3746 | 0.6016 | 0.7756 |
| No log | 5.4595 | 202 | 0.5512 | 0.3536 | 0.5512 | 0.7424 |
| No log | 5.5135 | 204 | 0.5563 | 0.4083 | 0.5563 | 0.7458 |
| No log | 5.5676 | 206 | 0.5600 | 0.4463 | 0.5600 | 0.7483 |
| No log | 5.6216 | 208 | 0.6739 | 0.4230 | 0.6739 | 0.8209 |
| No log | 5.6757 | 210 | 0.7387 | 0.4230 | 0.7387 | 0.8595 |
| No log | 5.7297 | 212 | 0.6395 | 0.4582 | 0.6395 | 0.7997 |
| No log | 5.7838 | 214 | 0.5463 | 0.4801 | 0.5463 | 0.7392 |
| No log | 5.8378 | 216 | 0.5414 | 0.5248 | 0.5414 | 0.7358 |
| No log | 5.8919 | 218 | 0.5238 | 0.5463 | 0.5238 | 0.7237 |
| No log | 5.9459 | 220 | 0.5927 | 0.5093 | 0.5927 | 0.7699 |
| No log | 6.0 | 222 | 0.8006 | 0.4978 | 0.8006 | 0.8948 |
| No log | 6.0541 | 224 | 0.7909 | 0.4502 | 0.7909 | 0.8893 |
| No log | 6.1081 | 226 | 0.6777 | 0.4522 | 0.6777 | 0.8233 |
| No log | 6.1622 | 228 | 0.6025 | 0.4434 | 0.6025 | 0.7762 |
| No log | 6.2162 | 230 | 0.6335 | 0.5098 | 0.6335 | 0.7959 |
| No log | 6.2703 | 232 | 0.6958 | 0.5038 | 0.6958 | 0.8342 |
| No log | 6.3243 | 234 | 0.7092 | 0.5036 | 0.7092 | 0.8422 |
| No log | 6.3784 | 236 | 0.6273 | 0.5349 | 0.6273 | 0.7920 |
| No log | 6.4324 | 238 | 0.5959 | 0.4642 | 0.5959 | 0.7719 |
| No log | 6.4865 | 240 | 0.5721 | 0.4379 | 0.5721 | 0.7564 |
| No log | 6.5405 | 242 | 0.5476 | 0.5357 | 0.5476 | 0.7400 |
| No log | 6.5946 | 244 | 0.5471 | 0.5357 | 0.5471 | 0.7397 |
| No log | 6.6486 | 246 | 0.5457 | 0.5450 | 0.5457 | 0.7387 |
| No log | 6.7027 | 248 | 0.5480 | 0.5634 | 0.5480 | 0.7403 |
| No log | 6.7568 | 250 | 0.5537 | 0.6059 | 0.5537 | 0.7441 |
| No log | 6.8108 | 252 | 0.5565 | 0.6059 | 0.5565 | 0.7460 |
| No log | 6.8649 | 254 | 0.5593 | 0.5697 | 0.5593 | 0.7479 |
| No log | 6.9189 | 256 | 0.5933 | 0.5528 | 0.5933 | 0.7702 |
| No log | 6.9730 | 258 | 0.5379 | 0.5554 | 0.5379 | 0.7335 |
| No log | 7.0270 | 260 | 0.5152 | 0.5707 | 0.5152 | 0.7178 |
| No log | 7.0811 | 262 | 0.5844 | 0.4663 | 0.5844 | 0.7645 |
| No log | 7.1351 | 264 | 0.6462 | 0.4982 | 0.6462 | 0.8039 |
| No log | 7.1892 | 266 | 0.5628 | 0.5014 | 0.5628 | 0.7502 |
| No log | 7.2432 | 268 | 0.4974 | 0.6455 | 0.4974 | 0.7052 |
| No log | 7.2973 | 270 | 0.5019 | 0.6046 | 0.5019 | 0.7084 |
| No log | 7.3514 | 272 | 0.5521 | 0.5173 | 0.5521 | 0.7430 |
| No log | 7.4054 | 274 | 0.5978 | 0.4734 | 0.5978 | 0.7732 |
| No log | 7.4595 | 276 | 0.5744 | 0.4951 | 0.5744 | 0.7579 |
| No log | 7.5135 | 278 | 0.5293 | 0.5632 | 0.5293 | 0.7275 |
| No log | 7.5676 | 280 | 0.5198 | 0.5782 | 0.5198 | 0.7210 |
| No log | 7.6216 | 282 | 0.5247 | 0.5405 | 0.5247 | 0.7244 |
| No log | 7.6757 | 284 | 0.5485 | 0.5632 | 0.5485 | 0.7406 |
| No log | 7.7297 | 286 | 0.6146 | 0.5081 | 0.6146 | 0.7839 |
| No log | 7.7838 | 288 | 0.5825 | 0.5081 | 0.5825 | 0.7632 |
| No log | 7.8378 | 290 | 0.5643 | 0.5560 | 0.5643 | 0.7512 |
| No log | 7.8919 | 292 | 0.5449 | 0.5053 | 0.5449 | 0.7382 |
| No log | 7.9459 | 294 | 0.5619 | 0.5560 | 0.5619 | 0.7496 |
| No log | 8.0 | 296 | 0.6426 | 0.4808 | 0.6426 | 0.8016 |
| No log | 8.0541 | 298 | 0.6778 | 0.4502 | 0.6778 | 0.8233 |
| No log | 8.1081 | 300 | 0.5860 | 0.5206 | 0.5860 | 0.7655 |
| No log | 8.1622 | 302 | 0.5344 | 0.5071 | 0.5344 | 0.7310 |
| No log | 8.2162 | 304 | 0.5337 | 0.5195 | 0.5337 | 0.7305 |
| No log | 8.2703 | 306 | 0.5522 | 0.4384 | 0.5522 | 0.7431 |
| No log | 8.3243 | 308 | 0.5728 | 0.4101 | 0.5728 | 0.7568 |
| No log | 8.3784 | 310 | 0.5784 | 0.3558 | 0.5784 | 0.7605 |
| No log | 8.4324 | 312 | 0.5750 | 0.4101 | 0.5750 | 0.7583 |
| No log | 8.4865 | 314 | 0.5710 | 0.3481 | 0.5710 | 0.7556 |
| No log | 8.5405 | 316 | 0.5697 | 0.3728 | 0.5697 | 0.7548 |
| No log | 8.5946 | 318 | 0.5755 | 0.5056 | 0.5755 | 0.7586 |
| No log | 8.6486 | 320 | 0.5708 | 0.4569 | 0.5708 | 0.7555 |
| No log | 8.7027 | 322 | 0.5508 | 0.3995 | 0.5508 | 0.7422 |
| No log | 8.7568 | 324 | 0.5382 | 0.4484 | 0.5382 | 0.7336 |
| No log | 8.8108 | 326 | 0.5341 | 0.4575 | 0.5341 | 0.7309 |
| No log | 8.8649 | 328 | 0.5651 | 0.5647 | 0.5651 | 0.7517 |
| No log | 8.9189 | 330 | 0.5403 | 0.5768 | 0.5403 | 0.7351 |
| No log | 8.9730 | 332 | 0.5315 | 0.6254 | 0.5315 | 0.7290 |
| No log | 9.0270 | 334 | 0.5399 | 0.5289 | 0.5399 | 0.7348 |
| No log | 9.0811 | 336 | 0.5634 | 0.5289 | 0.5634 | 0.7506 |
| No log | 9.1351 | 338 | 0.5615 | 0.5289 | 0.5615 | 0.7493 |
| No log | 9.1892 | 340 | 0.5526 | 0.5687 | 0.5526 | 0.7434 |
| No log | 9.2432 | 342 | 0.5599 | 0.5738 | 0.5599 | 0.7482 |
| No log | 9.2973 | 344 | 0.5447 | 0.5951 | 0.5447 | 0.7381 |
| No log | 9.3514 | 346 | 0.5324 | 0.5738 | 0.5324 | 0.7297 |
| No log | 9.4054 | 348 | 0.5125 | 0.5460 | 0.5125 | 0.7159 |
| No log | 9.4595 | 350 | 0.5084 | 0.5089 | 0.5084 | 0.7130 |
| No log | 9.5135 | 352 | 0.5122 | 0.5609 | 0.5122 | 0.7157 |
| No log | 9.5676 | 354 | 0.5109 | 0.5177 | 0.5109 | 0.7148 |
| No log | 9.6216 | 356 | 0.5081 | 0.4923 | 0.5081 | 0.7128 |
| No log | 9.6757 | 358 | 0.5041 | 0.4757 | 0.5041 | 0.7100 |
| No log | 9.7297 | 360 | 0.5115 | 0.5816 | 0.5115 | 0.7152 |
| No log | 9.7838 | 362 | 0.5624 | 0.5237 | 0.5624 | 0.7499 |
| No log | 9.8378 | 364 | 0.5416 | 0.5752 | 0.5416 | 0.7359 |
| No log | 9.8919 | 366 | 0.5270 | 0.4596 | 0.5270 | 0.7260 |
| No log | 9.9459 | 368 | 0.5370 | 0.4705 | 0.5370 | 0.7328 |
| No log | 10.0 | 370 | 0.6074 | 0.4788 | 0.6074 | 0.7794 |
| No log | 10.0541 | 372 | 0.6272 | 0.4788 | 0.6272 | 0.7920 |
| No log | 10.1081 | 374 | 0.5604 | 0.4576 | 0.5604 | 0.7486 |
| No log | 10.1622 | 376 | 0.5397 | 0.4569 | 0.5397 | 0.7346 |
| No log | 10.2162 | 378 | 0.5458 | 0.4158 | 0.5458 | 0.7388 |
| No log | 10.2703 | 380 | 0.5971 | 0.4644 | 0.5971 | 0.7727 |
| No log | 10.3243 | 382 | 0.6081 | 0.4644 | 0.6081 | 0.7798 |
| No log | 10.3784 | 384 | 0.5654 | 0.4815 | 0.5654 | 0.7520 |
| No log | 10.4324 | 386 | 0.5499 | 0.4257 | 0.5499 | 0.7416 |
| No log | 10.4865 | 388 | 0.5545 | 0.4257 | 0.5545 | 0.7447 |
| No log | 10.5405 | 390 | 0.5760 | 0.5104 | 0.5760 | 0.7590 |
| No log | 10.5946 | 392 | 0.5636 | 0.4875 | 0.5636 | 0.7507 |
| No log | 10.6486 | 394 | 0.5426 | 0.4726 | 0.5426 | 0.7366 |
| No log | 10.7027 | 396 | 0.5448 | 0.5107 | 0.5448 | 0.7381 |
| No log | 10.7568 | 398 | 0.5453 | 0.5107 | 0.5453 | 0.7384 |
| No log | 10.8108 | 400 | 0.5500 | 0.3865 | 0.5500 | 0.7416 |
| No log | 10.8649 | 402 | 0.5696 | 0.3622 | 0.5696 | 0.7547 |
| No log | 10.9189 | 404 | 0.5973 | 0.4997 | 0.5973 | 0.7729 |
| No log | 10.9730 | 406 | 0.5472 | 0.3865 | 0.5472 | 0.7397 |
| No log | 11.0270 | 408 | 0.5145 | 0.4762 | 0.5145 | 0.7173 |
| No log | 11.0811 | 410 | 0.5134 | 0.4904 | 0.5134 | 0.7165 |
| No log | 11.1351 | 412 | 0.5472 | 0.4358 | 0.5472 | 0.7397 |
| No log | 11.1892 | 414 | 0.6722 | 0.4892 | 0.6722 | 0.8199 |
| No log | 11.2432 | 416 | 0.6945 | 0.4892 | 0.6945 | 0.8333 |
| No log | 11.2973 | 418 | 0.6212 | 0.4997 | 0.6212 | 0.7881 |
| No log | 11.3514 | 420 | 0.5307 | 0.4484 | 0.5307 | 0.7285 |
| No log | 11.4054 | 422 | 0.5258 | 0.4802 | 0.5258 | 0.7251 |
| No log | 11.4595 | 424 | 0.5266 | 0.4548 | 0.5266 | 0.7257 |
| No log | 11.5135 | 426 | 0.5399 | 0.4419 | 0.5399 | 0.7347 |
| No log | 11.5676 | 428 | 0.5864 | 0.4845 | 0.5864 | 0.7658 |
| No log | 11.6216 | 430 | 0.6411 | 0.4815 | 0.6411 | 0.8007 |
| No log | 11.6757 | 432 | 0.6266 | 0.4247 | 0.6266 | 0.7916 |
| No log | 11.7297 | 434 | 0.5752 | 0.4243 | 0.5752 | 0.7584 |
| No log | 11.7838 | 436 | 0.5526 | 0.4681 | 0.5526 | 0.7434 |
| No log | 11.8378 | 438 | 0.5493 | 0.4657 | 0.5493 | 0.7412 |
| No log | 11.8919 | 440 | 0.5644 | 0.5092 | 0.5644 | 0.7513 |
| No log | 11.9459 | 442 | 0.5592 | 0.5217 | 0.5592 | 0.7478 |
| No log | 12.0 | 444 | 0.5975 | 0.4919 | 0.5975 | 0.7730 |
| No log | 12.0541 | 446 | 0.6939 | 0.5309 | 0.6939 | 0.8330 |
| No log | 12.1081 | 448 | 0.7711 | 0.5199 | 0.7711 | 0.8781 |
| No log | 12.1622 | 450 | 0.7223 | 0.5387 | 0.7223 | 0.8499 |
| No log | 12.2162 | 452 | 0.6054 | 0.5310 | 0.6054 | 0.7780 |
| No log | 12.2703 | 454 | 0.5331 | 0.4801 | 0.5331 | 0.7302 |
| No log | 12.3243 | 456 | 0.5099 | 0.4801 | 0.5099 | 0.7141 |
| No log | 12.3784 | 458 | 0.5160 | 0.5937 | 0.5160 | 0.7183 |
| No log | 12.4324 | 460 | 0.5688 | 0.5950 | 0.5688 | 0.7542 |
| No log | 12.4865 | 462 | 0.5672 | 0.5950 | 0.5672 | 0.7532 |
| No log | 12.5405 | 464 | 0.5257 | 0.5141 | 0.5257 | 0.7250 |
| No log | 12.5946 | 466 | 0.5169 | 0.4657 | 0.5169 | 0.7189 |
| No log | 12.6486 | 468 | 0.5190 | 0.4448 | 0.5190 | 0.7204 |
| No log | 12.7027 | 470 | 0.5016 | 0.5436 | 0.5016 | 0.7082 |
| No log | 12.7568 | 472 | 0.4796 | 0.6065 | 0.4796 | 0.6925 |
| No log | 12.8108 | 474 | 0.5155 | 0.5770 | 0.5155 | 0.7180 |
| No log | 12.8649 | 476 | 0.5269 | 0.5872 | 0.5269 | 0.7259 |
| No log | 12.9189 | 478 | 0.4868 | 0.5697 | 0.4868 | 0.6977 |
| No log | 12.9730 | 480 | 0.4757 | 0.6656 | 0.4757 | 0.6897 |
| No log | 13.0270 | 482 | 0.5051 | 0.5697 | 0.5051 | 0.7107 |
| No log | 13.0811 | 484 | 0.4996 | 0.5563 | 0.4996 | 0.7068 |
| No log | 13.1351 | 486 | 0.4867 | 0.6241 | 0.4867 | 0.6976 |
| No log | 13.1892 | 488 | 0.6044 | 0.6078 | 0.6044 | 0.7774 |
| No log | 13.2432 | 490 | 0.7219 | 0.5195 | 0.7219 | 0.8496 |
| No log | 13.2973 | 492 | 0.6971 | 0.5195 | 0.6971 | 0.8350 |
| No log | 13.3514 | 494 | 0.5944 | 0.5646 | 0.5944 | 0.7709 |
| No log | 13.4054 | 496 | 0.5196 | 0.5560 | 0.5196 | 0.7209 |
| No log | 13.4595 | 498 | 0.4922 | 0.6241 | 0.4922 | 0.7016 |
| 0.3162 | 13.5135 | 500 | 0.4894 | 0.5549 | 0.4894 | 0.6996 |
| 0.3162 | 13.5676 | 502 | 0.5215 | 0.4795 | 0.5215 | 0.7221 |
| 0.3162 | 13.6216 | 504 | 0.5404 | 0.5335 | 0.5404 | 0.7351 |
| 0.3162 | 13.6757 | 506 | 0.5249 | 0.5075 | 0.5249 | 0.7245 |
| 0.3162 | 13.7297 | 508 | 0.5211 | 0.6252 | 0.5211 | 0.7219 |
| 0.3162 | 13.7838 | 510 | 0.6096 | 0.5388 | 0.6096 | 0.7808 |
| 0.3162 | 13.8378 | 512 | 0.6834 | 0.5443 | 0.6834 | 0.8267 |
| 0.3162 | 13.8919 | 514 | 0.6431 | 0.5008 | 0.6431 | 0.8020 |
| 0.3162 | 13.9459 | 516 | 0.5627 | 0.5237 | 0.5627 | 0.7501 |
| 0.3162 | 14.0 | 518 | 0.5474 | 0.5609 | 0.5474 | 0.7398 |
| 0.3162 | 14.0541 | 520 | 0.5469 | 0.5460 | 0.5469 | 0.7395 |
| 0.3162 | 14.1081 | 522 | 0.5513 | 0.5533 | 0.5513 | 0.7425 |
| 0.3162 | 14.1622 | 524 | 0.5989 | 0.4618 | 0.5989 | 0.7739 |
| 0.3162 | 14.2162 | 526 | 0.6875 | 0.5258 | 0.6875 | 0.8291 |
| 0.3162 | 14.2703 | 528 | 0.7143 | 0.4723 | 0.7143 | 0.8451 |
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/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k7_task7_organization
Base model
aubmindlab/bert-base-arabertv02