ArabicNewSplits8_usingWellWrittenEssays_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: 0.8219
- Qwk: 0.5982
- Mse: 0.8219
- Rmse: 0.9066
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 | 5.4061 | -0.0020 | 5.4061 | 2.3251 |
| No log | 0.0435 | 4 | 3.2790 | 0.0668 | 3.2790 | 1.8108 |
| No log | 0.0652 | 6 | 2.3606 | -0.0685 | 2.3606 | 1.5364 |
| No log | 0.0870 | 8 | 2.5477 | -0.1747 | 2.5477 | 1.5961 |
| No log | 0.1087 | 10 | 1.6410 | 0.0610 | 1.6410 | 1.2810 |
| No log | 0.1304 | 12 | 1.1641 | 0.2329 | 1.1641 | 1.0789 |
| No log | 0.1522 | 14 | 1.7210 | 0.0894 | 1.7210 | 1.3119 |
| No log | 0.1739 | 16 | 2.4707 | 0.0573 | 2.4707 | 1.5718 |
| No log | 0.1957 | 18 | 2.0162 | 0.0777 | 2.0162 | 1.4199 |
| No log | 0.2174 | 20 | 1.2285 | 0.3243 | 1.2285 | 1.1084 |
| No log | 0.2391 | 22 | 1.1208 | 0.2149 | 1.1208 | 1.0587 |
| No log | 0.2609 | 24 | 1.0630 | 0.2619 | 1.0630 | 1.0310 |
| No log | 0.2826 | 26 | 1.1005 | 0.4093 | 1.1005 | 1.0491 |
| No log | 0.3043 | 28 | 1.1938 | 0.3033 | 1.1938 | 1.0926 |
| No log | 0.3261 | 30 | 1.4462 | 0.1522 | 1.4462 | 1.2026 |
| No log | 0.3478 | 32 | 1.4524 | 0.1875 | 1.4524 | 1.2052 |
| No log | 0.3696 | 34 | 1.2254 | 0.3340 | 1.2254 | 1.1070 |
| No log | 0.3913 | 36 | 1.0888 | 0.3964 | 1.0888 | 1.0434 |
| No log | 0.4130 | 38 | 0.8688 | 0.4761 | 0.8688 | 0.9321 |
| No log | 0.4348 | 40 | 0.7479 | 0.5203 | 0.7479 | 0.8648 |
| No log | 0.4565 | 42 | 0.7724 | 0.4862 | 0.7724 | 0.8789 |
| No log | 0.4783 | 44 | 0.7543 | 0.5130 | 0.7543 | 0.8685 |
| No log | 0.5 | 46 | 0.8712 | 0.4875 | 0.8712 | 0.9334 |
| No log | 0.5217 | 48 | 1.1806 | 0.4409 | 1.1806 | 1.0866 |
| No log | 0.5435 | 50 | 1.2900 | 0.4324 | 1.2900 | 1.1358 |
| No log | 0.5652 | 52 | 1.0692 | 0.4487 | 1.0692 | 1.0340 |
| No log | 0.5870 | 54 | 0.8503 | 0.4456 | 0.8503 | 0.9221 |
| No log | 0.6087 | 56 | 0.8977 | 0.3498 | 0.8977 | 0.9475 |
| No log | 0.6304 | 58 | 1.0080 | 0.2643 | 1.0080 | 1.0040 |
| No log | 0.6522 | 60 | 1.0685 | 0.2708 | 1.0685 | 1.0337 |
| No log | 0.6739 | 62 | 0.9910 | 0.3829 | 0.9910 | 0.9955 |
| No log | 0.6957 | 64 | 0.8817 | 0.4187 | 0.8817 | 0.9390 |
| No log | 0.7174 | 66 | 0.8313 | 0.4993 | 0.8313 | 0.9117 |
| No log | 0.7391 | 68 | 0.8090 | 0.5615 | 0.8090 | 0.8994 |
| No log | 0.7609 | 70 | 0.8693 | 0.5644 | 0.8693 | 0.9323 |
| No log | 0.7826 | 72 | 1.1872 | 0.4347 | 1.1872 | 1.0896 |
| No log | 0.8043 | 74 | 1.2843 | 0.4484 | 1.2843 | 1.1333 |
| No log | 0.8261 | 76 | 0.9447 | 0.5772 | 0.9447 | 0.9720 |
| No log | 0.8478 | 78 | 0.9076 | 0.5756 | 0.9076 | 0.9527 |
| No log | 0.8696 | 80 | 0.7954 | 0.5929 | 0.7954 | 0.8918 |
| No log | 0.8913 | 82 | 0.8251 | 0.4720 | 0.8251 | 0.9083 |
| No log | 0.9130 | 84 | 0.8132 | 0.5056 | 0.8132 | 0.9018 |
| No log | 0.9348 | 86 | 0.8465 | 0.6042 | 0.8465 | 0.9200 |
| No log | 0.9565 | 88 | 1.1263 | 0.4877 | 1.1263 | 1.0613 |
| No log | 0.9783 | 90 | 1.2194 | 0.4583 | 1.2194 | 1.1043 |
| No log | 1.0 | 92 | 0.9542 | 0.5453 | 0.9542 | 0.9768 |
| No log | 1.0217 | 94 | 0.8058 | 0.4882 | 0.8058 | 0.8976 |
| No log | 1.0435 | 96 | 0.8899 | 0.4583 | 0.8899 | 0.9433 |
| No log | 1.0652 | 98 | 0.8445 | 0.4245 | 0.8445 | 0.9190 |
| No log | 1.0870 | 100 | 0.9034 | 0.5730 | 0.9034 | 0.9505 |
| No log | 1.1087 | 102 | 1.3387 | 0.4265 | 1.3387 | 1.1570 |
| No log | 1.1304 | 104 | 1.3577 | 0.4360 | 1.3577 | 1.1652 |
| No log | 1.1522 | 106 | 1.0371 | 0.5035 | 1.0371 | 1.0184 |
| No log | 1.1739 | 108 | 0.8511 | 0.6177 | 0.8511 | 0.9225 |
| No log | 1.1957 | 110 | 0.8674 | 0.6166 | 0.8674 | 0.9313 |
| No log | 1.2174 | 112 | 1.0513 | 0.5164 | 1.0513 | 1.0253 |
| No log | 1.2391 | 114 | 1.0601 | 0.5273 | 1.0601 | 1.0296 |
| No log | 1.2609 | 116 | 0.8478 | 0.6167 | 0.8478 | 0.9207 |
| No log | 1.2826 | 118 | 0.7395 | 0.5718 | 0.7395 | 0.8599 |
| No log | 1.3043 | 120 | 0.7637 | 0.5262 | 0.7637 | 0.8739 |
| No log | 1.3261 | 122 | 0.7692 | 0.4900 | 0.7692 | 0.8770 |
| No log | 1.3478 | 124 | 0.8006 | 0.5047 | 0.8006 | 0.8948 |
| No log | 1.3696 | 126 | 0.8766 | 0.5106 | 0.8766 | 0.9363 |
| No log | 1.3913 | 128 | 0.9192 | 0.5452 | 0.9192 | 0.9587 |
| No log | 1.4130 | 130 | 0.8916 | 0.4838 | 0.8916 | 0.9443 |
| No log | 1.4348 | 132 | 0.8867 | 0.5050 | 0.8867 | 0.9417 |
| No log | 1.4565 | 134 | 0.8157 | 0.4909 | 0.8157 | 0.9032 |
| No log | 1.4783 | 136 | 0.7657 | 0.6069 | 0.7657 | 0.8750 |
| No log | 1.5 | 138 | 0.7812 | 0.6569 | 0.7812 | 0.8839 |
| No log | 1.5217 | 140 | 0.8637 | 0.6383 | 0.8637 | 0.9294 |
| No log | 1.5435 | 142 | 0.8764 | 0.6366 | 0.8764 | 0.9362 |
| No log | 1.5652 | 144 | 0.8796 | 0.6185 | 0.8796 | 0.9378 |
| No log | 1.5870 | 146 | 0.8346 | 0.6171 | 0.8346 | 0.9136 |
| No log | 1.6087 | 148 | 0.7321 | 0.6426 | 0.7321 | 0.8556 |
| No log | 1.6304 | 150 | 0.7378 | 0.6478 | 0.7378 | 0.8590 |
| No log | 1.6522 | 152 | 0.7575 | 0.6301 | 0.7575 | 0.8704 |
| No log | 1.6739 | 154 | 0.8567 | 0.5886 | 0.8567 | 0.9256 |
| No log | 1.6957 | 156 | 1.0869 | 0.5302 | 1.0869 | 1.0426 |
| No log | 1.7174 | 158 | 1.0514 | 0.5107 | 1.0514 | 1.0254 |
| No log | 1.7391 | 160 | 0.8571 | 0.5666 | 0.8571 | 0.9258 |
| No log | 1.7609 | 162 | 0.8405 | 0.5432 | 0.8405 | 0.9168 |
| No log | 1.7826 | 164 | 0.9812 | 0.5193 | 0.9812 | 0.9905 |
| No log | 1.8043 | 166 | 0.9123 | 0.5241 | 0.9123 | 0.9552 |
| No log | 1.8261 | 168 | 0.7839 | 0.5358 | 0.7839 | 0.8854 |
| No log | 1.8478 | 170 | 0.8573 | 0.5922 | 0.8573 | 0.9259 |
| No log | 1.8696 | 172 | 0.9111 | 0.5937 | 0.9111 | 0.9545 |
| No log | 1.8913 | 174 | 0.8570 | 0.6040 | 0.8570 | 0.9258 |
| No log | 1.9130 | 176 | 0.7981 | 0.5995 | 0.7981 | 0.8934 |
| No log | 1.9348 | 178 | 0.7635 | 0.5165 | 0.7635 | 0.8738 |
| No log | 1.9565 | 180 | 0.7705 | 0.4722 | 0.7705 | 0.8778 |
| No log | 1.9783 | 182 | 0.7718 | 0.5085 | 0.7718 | 0.8785 |
| No log | 2.0 | 184 | 0.7674 | 0.5490 | 0.7674 | 0.8760 |
| No log | 2.0217 | 186 | 0.7502 | 0.5484 | 0.7502 | 0.8661 |
| No log | 2.0435 | 188 | 0.7398 | 0.6173 | 0.7398 | 0.8601 |
| No log | 2.0652 | 190 | 0.7960 | 0.6105 | 0.7960 | 0.8922 |
| No log | 2.0870 | 192 | 0.8512 | 0.5988 | 0.8512 | 0.9226 |
| No log | 2.1087 | 194 | 0.9712 | 0.5623 | 0.9712 | 0.9855 |
| No log | 2.1304 | 196 | 1.0108 | 0.5451 | 1.0108 | 1.0054 |
| No log | 2.1522 | 198 | 0.8846 | 0.5700 | 0.8846 | 0.9405 |
| No log | 2.1739 | 200 | 0.7916 | 0.4805 | 0.7916 | 0.8897 |
| No log | 2.1957 | 202 | 0.8201 | 0.4379 | 0.8201 | 0.9056 |
| No log | 2.2174 | 204 | 0.7962 | 0.4890 | 0.7962 | 0.8923 |
| No log | 2.2391 | 206 | 0.8138 | 0.5372 | 0.8138 | 0.9021 |
| No log | 2.2609 | 208 | 0.8946 | 0.5867 | 0.8946 | 0.9458 |
| No log | 2.2826 | 210 | 0.8559 | 0.5931 | 0.8559 | 0.9252 |
| No log | 2.3043 | 212 | 0.7660 | 0.6508 | 0.7660 | 0.8752 |
| No log | 2.3261 | 214 | 0.7252 | 0.6721 | 0.7252 | 0.8516 |
| No log | 2.3478 | 216 | 0.7243 | 0.6835 | 0.7243 | 0.8511 |
| No log | 2.3696 | 218 | 0.7206 | 0.6784 | 0.7206 | 0.8489 |
| No log | 2.3913 | 220 | 0.7303 | 0.6484 | 0.7303 | 0.8546 |
| No log | 2.4130 | 222 | 0.7616 | 0.6172 | 0.7616 | 0.8727 |
| No log | 2.4348 | 224 | 0.7802 | 0.6083 | 0.7802 | 0.8833 |
| No log | 2.4565 | 226 | 0.7142 | 0.5799 | 0.7142 | 0.8451 |
| No log | 2.4783 | 228 | 0.7100 | 0.5493 | 0.7100 | 0.8426 |
| No log | 2.5 | 230 | 0.7708 | 0.5985 | 0.7708 | 0.8780 |
| No log | 2.5217 | 232 | 0.7263 | 0.5772 | 0.7263 | 0.8522 |
| No log | 2.5435 | 234 | 0.7314 | 0.6419 | 0.7314 | 0.8552 |
| No log | 2.5652 | 236 | 0.8626 | 0.5880 | 0.8626 | 0.9288 |
| No log | 2.5870 | 238 | 0.7734 | 0.6121 | 0.7734 | 0.8794 |
| No log | 2.6087 | 240 | 0.7385 | 0.6457 | 0.7385 | 0.8594 |
| No log | 2.6304 | 242 | 0.7477 | 0.5872 | 0.7477 | 0.8647 |
| No log | 2.6522 | 244 | 0.7500 | 0.5923 | 0.7500 | 0.8660 |
| No log | 2.6739 | 246 | 0.8040 | 0.6197 | 0.8040 | 0.8967 |
| No log | 2.6957 | 248 | 0.8327 | 0.6186 | 0.8327 | 0.9125 |
| No log | 2.7174 | 250 | 0.8759 | 0.5855 | 0.8759 | 0.9359 |
| No log | 2.7391 | 252 | 0.8495 | 0.6040 | 0.8495 | 0.9217 |
| No log | 2.7609 | 254 | 0.8128 | 0.5111 | 0.8128 | 0.9016 |
| No log | 2.7826 | 256 | 0.8065 | 0.5095 | 0.8065 | 0.8981 |
| No log | 2.8043 | 258 | 0.7991 | 0.5073 | 0.7991 | 0.8939 |
| No log | 2.8261 | 260 | 0.8096 | 0.5519 | 0.8096 | 0.8998 |
| No log | 2.8478 | 262 | 0.7898 | 0.5570 | 0.7898 | 0.8887 |
| No log | 2.8696 | 264 | 0.8143 | 0.6226 | 0.8143 | 0.9024 |
| No log | 2.8913 | 266 | 0.8523 | 0.6288 | 0.8523 | 0.9232 |
| No log | 2.9130 | 268 | 0.8845 | 0.6163 | 0.8845 | 0.9405 |
| No log | 2.9348 | 270 | 0.8339 | 0.5501 | 0.8339 | 0.9132 |
| No log | 2.9565 | 272 | 0.8055 | 0.5158 | 0.8055 | 0.8975 |
| No log | 2.9783 | 274 | 0.8068 | 0.4955 | 0.8068 | 0.8982 |
| No log | 3.0 | 276 | 0.8148 | 0.5097 | 0.8148 | 0.9027 |
| No log | 3.0217 | 278 | 0.7815 | 0.5029 | 0.7815 | 0.8840 |
| No log | 3.0435 | 280 | 0.7490 | 0.5618 | 0.7490 | 0.8654 |
| No log | 3.0652 | 282 | 0.7061 | 0.5815 | 0.7061 | 0.8403 |
| No log | 3.0870 | 284 | 0.7366 | 0.6199 | 0.7366 | 0.8582 |
| No log | 3.1087 | 286 | 0.7217 | 0.6495 | 0.7217 | 0.8495 |
| No log | 3.1304 | 288 | 0.6870 | 0.6538 | 0.6870 | 0.8289 |
| No log | 3.1522 | 290 | 0.7230 | 0.6212 | 0.7230 | 0.8503 |
| No log | 3.1739 | 292 | 0.6990 | 0.6354 | 0.6990 | 0.8361 |
| No log | 3.1957 | 294 | 0.6876 | 0.6436 | 0.6876 | 0.8292 |
| No log | 3.2174 | 296 | 0.6852 | 0.6688 | 0.6852 | 0.8278 |
| No log | 3.2391 | 298 | 0.6855 | 0.6862 | 0.6855 | 0.8280 |
| No log | 3.2609 | 300 | 0.6676 | 0.6383 | 0.6676 | 0.8171 |
| No log | 3.2826 | 302 | 0.7448 | 0.5990 | 0.7448 | 0.8630 |
| No log | 3.3043 | 304 | 0.8491 | 0.5979 | 0.8491 | 0.9214 |
| No log | 3.3261 | 306 | 0.7808 | 0.6062 | 0.7808 | 0.8836 |
| No log | 3.3478 | 308 | 0.6725 | 0.6548 | 0.6725 | 0.8200 |
| No log | 3.3696 | 310 | 0.6794 | 0.6535 | 0.6794 | 0.8243 |
| No log | 3.3913 | 312 | 0.6739 | 0.6367 | 0.6739 | 0.8209 |
| No log | 3.4130 | 314 | 0.7241 | 0.6331 | 0.7241 | 0.8510 |
| No log | 3.4348 | 316 | 0.8837 | 0.6111 | 0.8837 | 0.9401 |
| No log | 3.4565 | 318 | 0.9325 | 0.6094 | 0.9325 | 0.9656 |
| No log | 3.4783 | 320 | 0.8330 | 0.6601 | 0.8330 | 0.9127 |
| No log | 3.5 | 322 | 0.7838 | 0.6928 | 0.7838 | 0.8853 |
| No log | 3.5217 | 324 | 0.7791 | 0.6731 | 0.7791 | 0.8827 |
| No log | 3.5435 | 326 | 0.7900 | 0.6449 | 0.7900 | 0.8888 |
| No log | 3.5652 | 328 | 0.7977 | 0.6288 | 0.7977 | 0.8931 |
| No log | 3.5870 | 330 | 0.8851 | 0.6017 | 0.8851 | 0.9408 |
| No log | 3.6087 | 332 | 0.9912 | 0.5760 | 0.9912 | 0.9956 |
| No log | 3.6304 | 334 | 1.0135 | 0.5389 | 1.0135 | 1.0067 |
| No log | 3.6522 | 336 | 0.9310 | 0.5176 | 0.9310 | 0.9649 |
| No log | 3.6739 | 338 | 0.8286 | 0.4186 | 0.8286 | 0.9103 |
| No log | 3.6957 | 340 | 0.7726 | 0.4609 | 0.7726 | 0.8790 |
| No log | 3.7174 | 342 | 0.7354 | 0.5192 | 0.7354 | 0.8576 |
| No log | 3.7391 | 344 | 0.7185 | 0.6203 | 0.7185 | 0.8476 |
| No log | 3.7609 | 346 | 0.7368 | 0.6314 | 0.7368 | 0.8583 |
| No log | 3.7826 | 348 | 0.9013 | 0.6036 | 0.9013 | 0.9494 |
| No log | 3.8043 | 350 | 1.0388 | 0.5600 | 1.0388 | 1.0192 |
| No log | 3.8261 | 352 | 0.9856 | 0.5600 | 0.9856 | 0.9928 |
| No log | 3.8478 | 354 | 0.8293 | 0.6377 | 0.8293 | 0.9107 |
| No log | 3.8696 | 356 | 0.7130 | 0.6400 | 0.7130 | 0.8444 |
| No log | 3.8913 | 358 | 0.7445 | 0.5724 | 0.7445 | 0.8629 |
| No log | 3.9130 | 360 | 0.8154 | 0.5693 | 0.8154 | 0.9030 |
| No log | 3.9348 | 362 | 0.8083 | 0.5620 | 0.8083 | 0.8991 |
| No log | 3.9565 | 364 | 0.7499 | 0.5384 | 0.7499 | 0.8660 |
| No log | 3.9783 | 366 | 0.7079 | 0.5840 | 0.7079 | 0.8413 |
| No log | 4.0 | 368 | 0.7285 | 0.5997 | 0.7285 | 0.8535 |
| No log | 4.0217 | 370 | 0.7136 | 0.6173 | 0.7136 | 0.8448 |
| No log | 4.0435 | 372 | 0.6717 | 0.6651 | 0.6717 | 0.8196 |
| No log | 4.0652 | 374 | 0.6621 | 0.7065 | 0.6621 | 0.8137 |
| No log | 4.0870 | 376 | 0.6871 | 0.7086 | 0.6871 | 0.8289 |
| No log | 4.1087 | 378 | 0.6735 | 0.7000 | 0.6735 | 0.8207 |
| No log | 4.1304 | 380 | 0.6817 | 0.6469 | 0.6817 | 0.8257 |
| No log | 4.1522 | 382 | 0.7612 | 0.6237 | 0.7612 | 0.8725 |
| No log | 4.1739 | 384 | 0.7717 | 0.6146 | 0.7717 | 0.8785 |
| No log | 4.1957 | 386 | 0.7526 | 0.6081 | 0.7526 | 0.8675 |
| No log | 4.2174 | 388 | 0.7356 | 0.5815 | 0.7356 | 0.8577 |
| No log | 4.2391 | 390 | 0.7466 | 0.5318 | 0.7466 | 0.8641 |
| No log | 4.2609 | 392 | 0.7395 | 0.5361 | 0.7395 | 0.8600 |
| No log | 4.2826 | 394 | 0.7358 | 0.5737 | 0.7358 | 0.8578 |
| No log | 4.3043 | 396 | 0.7841 | 0.5923 | 0.7841 | 0.8855 |
| No log | 4.3261 | 398 | 0.8971 | 0.5701 | 0.8971 | 0.9471 |
| No log | 4.3478 | 400 | 0.9999 | 0.5527 | 0.9999 | 1.0000 |
| No log | 4.3696 | 402 | 0.9878 | 0.5551 | 0.9878 | 0.9939 |
| No log | 4.3913 | 404 | 0.9200 | 0.5701 | 0.9200 | 0.9591 |
| No log | 4.4130 | 406 | 0.9099 | 0.6019 | 0.9099 | 0.9539 |
| No log | 4.4348 | 408 | 0.8788 | 0.5922 | 0.8788 | 0.9374 |
| No log | 4.4565 | 410 | 0.7961 | 0.5853 | 0.7961 | 0.8922 |
| No log | 4.4783 | 412 | 0.7689 | 0.6265 | 0.7689 | 0.8769 |
| No log | 4.5 | 414 | 0.7435 | 0.5752 | 0.7435 | 0.8623 |
| No log | 4.5217 | 416 | 0.7253 | 0.5798 | 0.7253 | 0.8516 |
| No log | 4.5435 | 418 | 0.7120 | 0.6246 | 0.7120 | 0.8438 |
| No log | 4.5652 | 420 | 0.6946 | 0.6395 | 0.6946 | 0.8334 |
| No log | 4.5870 | 422 | 0.7082 | 0.6673 | 0.7082 | 0.8416 |
| No log | 4.6087 | 424 | 0.7317 | 0.6613 | 0.7317 | 0.8554 |
| No log | 4.6304 | 426 | 0.7500 | 0.6512 | 0.7500 | 0.8660 |
| No log | 4.6522 | 428 | 0.7801 | 0.6613 | 0.7801 | 0.8832 |
| No log | 4.6739 | 430 | 0.8247 | 0.6048 | 0.8247 | 0.9081 |
| No log | 4.6957 | 432 | 0.8895 | 0.5960 | 0.8895 | 0.9431 |
| No log | 4.7174 | 434 | 0.9923 | 0.5556 | 0.9923 | 0.9962 |
| No log | 4.7391 | 436 | 0.9588 | 0.5556 | 0.9588 | 0.9792 |
| No log | 4.7609 | 438 | 0.9566 | 0.5502 | 0.9566 | 0.9781 |
| No log | 4.7826 | 440 | 0.9367 | 0.5704 | 0.9367 | 0.9678 |
| No log | 4.8043 | 442 | 0.8288 | 0.6149 | 0.8288 | 0.9104 |
| No log | 4.8261 | 444 | 0.7300 | 0.6684 | 0.7300 | 0.8544 |
| No log | 4.8478 | 446 | 0.6935 | 0.6848 | 0.6935 | 0.8328 |
| No log | 4.8696 | 448 | 0.6957 | 0.6689 | 0.6957 | 0.8341 |
| No log | 4.8913 | 450 | 0.6972 | 0.6690 | 0.6972 | 0.8350 |
| No log | 4.9130 | 452 | 0.6938 | 0.6899 | 0.6938 | 0.8330 |
| No log | 4.9348 | 454 | 0.7023 | 0.6748 | 0.7023 | 0.8380 |
| No log | 4.9565 | 456 | 0.7259 | 0.6756 | 0.7259 | 0.8520 |
| No log | 4.9783 | 458 | 0.7025 | 0.6988 | 0.7025 | 0.8382 |
| No log | 5.0 | 460 | 0.6911 | 0.7002 | 0.6911 | 0.8313 |
| No log | 5.0217 | 462 | 0.6933 | 0.6772 | 0.6933 | 0.8327 |
| No log | 5.0435 | 464 | 0.6978 | 0.6732 | 0.6978 | 0.8353 |
| No log | 5.0652 | 466 | 0.7098 | 0.7067 | 0.7098 | 0.8425 |
| No log | 5.0870 | 468 | 0.7487 | 0.6567 | 0.7487 | 0.8653 |
| No log | 5.1087 | 470 | 0.7428 | 0.6840 | 0.7428 | 0.8619 |
| No log | 5.1304 | 472 | 0.7066 | 0.6849 | 0.7066 | 0.8406 |
| No log | 5.1522 | 474 | 0.7104 | 0.6780 | 0.7104 | 0.8429 |
| No log | 5.1739 | 476 | 0.6913 | 0.7023 | 0.6913 | 0.8314 |
| No log | 5.1957 | 478 | 0.6907 | 0.7023 | 0.6907 | 0.8311 |
| No log | 5.2174 | 480 | 0.6849 | 0.6913 | 0.6849 | 0.8276 |
| No log | 5.2391 | 482 | 0.6950 | 0.6852 | 0.6950 | 0.8337 |
| No log | 5.2609 | 484 | 0.7355 | 0.6589 | 0.7355 | 0.8576 |
| No log | 5.2826 | 486 | 0.7559 | 0.6551 | 0.7559 | 0.8694 |
| No log | 5.3043 | 488 | 0.7127 | 0.7012 | 0.7127 | 0.8442 |
| No log | 5.3261 | 490 | 0.7290 | 0.6707 | 0.7290 | 0.8538 |
| No log | 5.3478 | 492 | 0.7613 | 0.6366 | 0.7613 | 0.8726 |
| No log | 5.3696 | 494 | 0.7536 | 0.6499 | 0.7536 | 0.8681 |
| No log | 5.3913 | 496 | 0.7134 | 0.6934 | 0.7134 | 0.8446 |
| No log | 5.4130 | 498 | 0.7104 | 0.6805 | 0.7104 | 0.8429 |
| 0.4586 | 5.4348 | 500 | 0.7484 | 0.6533 | 0.7484 | 0.8651 |
| 0.4586 | 5.4565 | 502 | 0.7560 | 0.6075 | 0.7560 | 0.8695 |
| 0.4586 | 5.4783 | 504 | 0.7252 | 0.6118 | 0.7252 | 0.8516 |
| 0.4586 | 5.5 | 506 | 0.7003 | 0.6256 | 0.7003 | 0.8369 |
| 0.4586 | 5.5217 | 508 | 0.6939 | 0.6514 | 0.6939 | 0.8330 |
| 0.4586 | 5.5435 | 510 | 0.7162 | 0.7107 | 0.7162 | 0.8463 |
| 0.4586 | 5.5652 | 512 | 0.7326 | 0.6857 | 0.7326 | 0.8559 |
| 0.4586 | 5.5870 | 514 | 0.7135 | 0.6847 | 0.7135 | 0.8447 |
| 0.4586 | 5.6087 | 516 | 0.6945 | 0.6972 | 0.6945 | 0.8334 |
| 0.4586 | 5.6304 | 518 | 0.6948 | 0.6547 | 0.6948 | 0.8335 |
| 0.4586 | 5.6522 | 520 | 0.6939 | 0.6567 | 0.6939 | 0.8330 |
| 0.4586 | 5.6739 | 522 | 0.7240 | 0.6738 | 0.7240 | 0.8509 |
| 0.4586 | 5.6957 | 524 | 0.7813 | 0.6339 | 0.7813 | 0.8839 |
| 0.4586 | 5.7174 | 526 | 0.7887 | 0.6321 | 0.7887 | 0.8881 |
| 0.4586 | 5.7391 | 528 | 0.8040 | 0.6157 | 0.8040 | 0.8967 |
| 0.4586 | 5.7609 | 530 | 0.7985 | 0.6157 | 0.7985 | 0.8936 |
| 0.4586 | 5.7826 | 532 | 0.8219 | 0.5982 | 0.8219 | 0.9066 |
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_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k19_task1_organization
Base model
aubmindlab/bert-base-arabertv02