ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k7_task5_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: 0.5632
- Qwk: 0.5774
- Mse: 0.5632
- Rmse: 0.7505
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 | 3.9749 | -0.0254 | 3.9749 | 1.9937 |
| No log | 0.1081 | 4 | 2.3789 | -0.0086 | 2.3789 | 1.5424 |
| No log | 0.1622 | 6 | 2.3060 | -0.0206 | 2.3060 | 1.5185 |
| No log | 0.2162 | 8 | 1.8982 | -0.0169 | 1.8982 | 1.3777 |
| No log | 0.2703 | 10 | 1.1726 | 0.2687 | 1.1726 | 1.0829 |
| No log | 0.3243 | 12 | 1.0136 | 0.1881 | 1.0136 | 1.0068 |
| No log | 0.3784 | 14 | 0.9781 | 0.1292 | 0.9781 | 0.9890 |
| No log | 0.4324 | 16 | 0.9785 | 0.1981 | 0.9785 | 0.9892 |
| No log | 0.4865 | 18 | 1.1178 | 0.1821 | 1.1178 | 1.0573 |
| No log | 0.5405 | 20 | 1.3287 | -0.0328 | 1.3287 | 1.1527 |
| No log | 0.5946 | 22 | 1.2122 | 0.0938 | 1.2122 | 1.1010 |
| No log | 0.6486 | 24 | 1.0211 | 0.2958 | 1.0211 | 1.0105 |
| No log | 0.7027 | 26 | 0.9265 | 0.3498 | 0.9265 | 0.9625 |
| No log | 0.7568 | 28 | 0.9039 | 0.4090 | 0.9039 | 0.9507 |
| No log | 0.8108 | 30 | 1.0448 | 0.3229 | 1.0448 | 1.0222 |
| No log | 0.8649 | 32 | 1.2718 | -0.0578 | 1.2718 | 1.1277 |
| No log | 0.9189 | 34 | 1.1846 | 0.1062 | 1.1846 | 1.0884 |
| No log | 0.9730 | 36 | 1.1816 | 0.0462 | 1.1816 | 1.0870 |
| No log | 1.0270 | 38 | 1.2050 | 0.0584 | 1.2050 | 1.0977 |
| No log | 1.0811 | 40 | 1.0468 | 0.2318 | 1.0468 | 1.0231 |
| No log | 1.1351 | 42 | 0.8819 | 0.3646 | 0.8819 | 0.9391 |
| No log | 1.1892 | 44 | 0.8572 | 0.3266 | 0.8572 | 0.9258 |
| No log | 1.2432 | 46 | 0.9094 | 0.4180 | 0.9094 | 0.9536 |
| No log | 1.2973 | 48 | 0.8930 | 0.3221 | 0.8930 | 0.9450 |
| No log | 1.3514 | 50 | 0.8941 | 0.3506 | 0.8941 | 0.9456 |
| No log | 1.4054 | 52 | 0.8985 | 0.3214 | 0.8985 | 0.9479 |
| No log | 1.4595 | 54 | 0.9153 | 0.2967 | 0.9153 | 0.9567 |
| No log | 1.5135 | 56 | 1.0002 | 0.2588 | 1.0002 | 1.0001 |
| No log | 1.5676 | 58 | 0.9516 | 0.2880 | 0.9516 | 0.9755 |
| No log | 1.6216 | 60 | 0.8100 | 0.4692 | 0.8100 | 0.9000 |
| No log | 1.6757 | 62 | 0.7851 | 0.3817 | 0.7851 | 0.8861 |
| No log | 1.7297 | 64 | 0.8001 | 0.3797 | 0.8001 | 0.8945 |
| No log | 1.7838 | 66 | 0.7779 | 0.4373 | 0.7779 | 0.8820 |
| No log | 1.8378 | 68 | 0.7866 | 0.5093 | 0.7866 | 0.8869 |
| No log | 1.8919 | 70 | 0.7695 | 0.4944 | 0.7695 | 0.8772 |
| No log | 1.9459 | 72 | 0.8222 | 0.4728 | 0.8222 | 0.9067 |
| No log | 2.0 | 74 | 1.0264 | 0.3595 | 1.0264 | 1.0131 |
| No log | 2.0541 | 76 | 1.0866 | 0.3506 | 1.0866 | 1.0424 |
| No log | 2.1081 | 78 | 0.8823 | 0.3744 | 0.8823 | 0.9393 |
| No log | 2.1622 | 80 | 0.7437 | 0.4540 | 0.7437 | 0.8624 |
| No log | 2.2162 | 82 | 0.7611 | 0.4708 | 0.7611 | 0.8724 |
| No log | 2.2703 | 84 | 0.7523 | 0.4708 | 0.7523 | 0.8674 |
| No log | 2.3243 | 86 | 0.7584 | 0.4960 | 0.7584 | 0.8708 |
| No log | 2.3784 | 88 | 0.7062 | 0.4540 | 0.7062 | 0.8404 |
| No log | 2.4324 | 90 | 0.7178 | 0.5721 | 0.7178 | 0.8472 |
| No log | 2.4865 | 92 | 0.7166 | 0.5627 | 0.7166 | 0.8465 |
| No log | 2.5405 | 94 | 0.7288 | 0.5025 | 0.7288 | 0.8537 |
| No log | 2.5946 | 96 | 0.7582 | 0.4156 | 0.7582 | 0.8708 |
| No log | 2.6486 | 98 | 0.7673 | 0.4444 | 0.7673 | 0.8760 |
| No log | 2.7027 | 100 | 0.7561 | 0.4407 | 0.7561 | 0.8695 |
| No log | 2.7568 | 102 | 0.8624 | 0.5154 | 0.8624 | 0.9286 |
| No log | 2.8108 | 104 | 1.0346 | 0.3902 | 1.0346 | 1.0171 |
| No log | 2.8649 | 106 | 0.9928 | 0.4524 | 0.9928 | 0.9964 |
| No log | 2.9189 | 108 | 0.8232 | 0.4826 | 0.8232 | 0.9073 |
| No log | 2.9730 | 110 | 0.7940 | 0.4761 | 0.7940 | 0.8911 |
| No log | 3.0270 | 112 | 0.8212 | 0.5024 | 0.8212 | 0.9062 |
| No log | 3.0811 | 114 | 0.8411 | 0.4600 | 0.8411 | 0.9171 |
| No log | 3.1351 | 116 | 0.7773 | 0.5572 | 0.7773 | 0.8817 |
| No log | 3.1892 | 118 | 0.7042 | 0.5558 | 0.7042 | 0.8392 |
| No log | 3.2432 | 120 | 0.6855 | 0.5221 | 0.6855 | 0.8280 |
| No log | 3.2973 | 122 | 0.6878 | 0.5208 | 0.6878 | 0.8293 |
| No log | 3.3514 | 124 | 0.7430 | 0.5181 | 0.7430 | 0.8620 |
| No log | 3.4054 | 126 | 0.7902 | 0.4666 | 0.7902 | 0.8890 |
| No log | 3.4595 | 128 | 0.6883 | 0.5220 | 0.6883 | 0.8297 |
| No log | 3.5135 | 130 | 0.6954 | 0.5287 | 0.6954 | 0.8339 |
| No log | 3.5676 | 132 | 0.6808 | 0.5505 | 0.6808 | 0.8251 |
| No log | 3.6216 | 134 | 0.6600 | 0.6065 | 0.6600 | 0.8124 |
| No log | 3.6757 | 136 | 0.6703 | 0.5933 | 0.6703 | 0.8187 |
| No log | 3.7297 | 138 | 0.6981 | 0.5707 | 0.6981 | 0.8355 |
| No log | 3.7838 | 140 | 0.6528 | 0.6219 | 0.6528 | 0.8080 |
| No log | 3.8378 | 142 | 0.6592 | 0.5590 | 0.6592 | 0.8119 |
| No log | 3.8919 | 144 | 0.6708 | 0.5590 | 0.6708 | 0.8190 |
| No log | 3.9459 | 146 | 0.6894 | 0.5146 | 0.6894 | 0.8303 |
| No log | 4.0 | 148 | 0.7196 | 0.4792 | 0.7196 | 0.8483 |
| No log | 4.0541 | 150 | 0.7279 | 0.5678 | 0.7279 | 0.8532 |
| No log | 4.1081 | 152 | 0.7576 | 0.4975 | 0.7576 | 0.8704 |
| No log | 4.1622 | 154 | 0.7516 | 0.5558 | 0.7516 | 0.8670 |
| No log | 4.2162 | 156 | 0.7352 | 0.5700 | 0.7352 | 0.8574 |
| No log | 4.2703 | 158 | 0.7192 | 0.5905 | 0.7192 | 0.8481 |
| No log | 4.3243 | 160 | 0.7060 | 0.5185 | 0.7060 | 0.8402 |
| No log | 4.3784 | 162 | 0.7166 | 0.4841 | 0.7166 | 0.8465 |
| No log | 4.4324 | 164 | 0.6657 | 0.5048 | 0.6657 | 0.8159 |
| No log | 4.4865 | 166 | 0.6845 | 0.4608 | 0.6845 | 0.8273 |
| No log | 4.5405 | 168 | 0.6785 | 0.4867 | 0.6785 | 0.8237 |
| No log | 4.5946 | 170 | 0.6883 | 0.5292 | 0.6883 | 0.8296 |
| No log | 4.6486 | 172 | 0.7065 | 0.4812 | 0.7065 | 0.8405 |
| No log | 4.7027 | 174 | 0.7008 | 0.5555 | 0.7008 | 0.8371 |
| No log | 4.7568 | 176 | 0.6345 | 0.5844 | 0.6345 | 0.7966 |
| No log | 4.8108 | 178 | 0.6227 | 0.6187 | 0.6227 | 0.7891 |
| No log | 4.8649 | 180 | 0.6597 | 0.5959 | 0.6597 | 0.8122 |
| No log | 4.9189 | 182 | 0.8235 | 0.4976 | 0.8235 | 0.9075 |
| No log | 4.9730 | 184 | 0.9899 | 0.5462 | 0.9899 | 0.9950 |
| No log | 5.0270 | 186 | 0.8608 | 0.4667 | 0.8608 | 0.9278 |
| No log | 5.0811 | 188 | 0.6907 | 0.5170 | 0.6907 | 0.8311 |
| No log | 5.1351 | 190 | 0.6263 | 0.5943 | 0.6263 | 0.7914 |
| No log | 5.1892 | 192 | 0.6457 | 0.6634 | 0.6457 | 0.8036 |
| No log | 5.2432 | 194 | 0.6887 | 0.6605 | 0.6887 | 0.8299 |
| No log | 5.2973 | 196 | 0.7879 | 0.5621 | 0.7879 | 0.8876 |
| No log | 5.3514 | 198 | 0.8848 | 0.4693 | 0.8848 | 0.9406 |
| No log | 5.4054 | 200 | 0.7490 | 0.5988 | 0.7490 | 0.8655 |
| No log | 5.4595 | 202 | 0.6376 | 0.5923 | 0.6376 | 0.7985 |
| No log | 5.5135 | 204 | 0.6968 | 0.5993 | 0.6968 | 0.8347 |
| No log | 5.5676 | 206 | 0.6784 | 0.5782 | 0.6784 | 0.8237 |
| No log | 5.6216 | 208 | 0.6573 | 0.6133 | 0.6573 | 0.8107 |
| No log | 5.6757 | 210 | 0.7490 | 0.5046 | 0.7490 | 0.8654 |
| No log | 5.7297 | 212 | 0.7855 | 0.5041 | 0.7855 | 0.8863 |
| No log | 5.7838 | 214 | 0.7334 | 0.5084 | 0.7334 | 0.8564 |
| No log | 5.8378 | 216 | 0.7038 | 0.4511 | 0.7038 | 0.8389 |
| No log | 5.8919 | 218 | 0.7052 | 0.5302 | 0.7052 | 0.8398 |
| No log | 5.9459 | 220 | 0.7050 | 0.5529 | 0.7050 | 0.8396 |
| No log | 6.0 | 222 | 0.7002 | 0.4661 | 0.7002 | 0.8368 |
| No log | 6.0541 | 224 | 0.7336 | 0.4975 | 0.7336 | 0.8565 |
| No log | 6.1081 | 226 | 0.7545 | 0.5156 | 0.7545 | 0.8686 |
| No log | 6.1622 | 228 | 0.7151 | 0.5279 | 0.7151 | 0.8457 |
| No log | 6.2162 | 230 | 0.6747 | 0.4368 | 0.6747 | 0.8214 |
| No log | 6.2703 | 232 | 0.6602 | 0.5556 | 0.6602 | 0.8125 |
| No log | 6.3243 | 234 | 0.6598 | 0.5690 | 0.6598 | 0.8123 |
| No log | 6.3784 | 236 | 0.6614 | 0.5142 | 0.6614 | 0.8133 |
| No log | 6.4324 | 238 | 0.7064 | 0.4581 | 0.7064 | 0.8405 |
| No log | 6.4865 | 240 | 0.7210 | 0.4584 | 0.7210 | 0.8491 |
| No log | 6.5405 | 242 | 0.6926 | 0.4711 | 0.6926 | 0.8322 |
| No log | 6.5946 | 244 | 0.6739 | 0.5197 | 0.6739 | 0.8209 |
| No log | 6.6486 | 246 | 0.6722 | 0.5121 | 0.6722 | 0.8199 |
| No log | 6.7027 | 248 | 0.6985 | 0.6373 | 0.6985 | 0.8358 |
| No log | 6.7568 | 250 | 0.7729 | 0.5650 | 0.7729 | 0.8792 |
| No log | 6.8108 | 252 | 0.7129 | 0.6184 | 0.7129 | 0.8444 |
| No log | 6.8649 | 254 | 0.6568 | 0.5752 | 0.6568 | 0.8105 |
| No log | 6.9189 | 256 | 0.6856 | 0.5500 | 0.6856 | 0.8280 |
| No log | 6.9730 | 258 | 0.7020 | 0.5090 | 0.7020 | 0.8379 |
| No log | 7.0270 | 260 | 0.7415 | 0.4876 | 0.7415 | 0.8611 |
| No log | 7.0811 | 262 | 0.7363 | 0.5069 | 0.7363 | 0.8581 |
| No log | 7.1351 | 264 | 0.7260 | 0.4953 | 0.7260 | 0.8520 |
| No log | 7.1892 | 266 | 0.6998 | 0.5788 | 0.6998 | 0.8365 |
| No log | 7.2432 | 268 | 0.6316 | 0.5959 | 0.6316 | 0.7947 |
| No log | 7.2973 | 270 | 0.5980 | 0.5842 | 0.5980 | 0.7733 |
| No log | 7.3514 | 272 | 0.6102 | 0.5842 | 0.6102 | 0.7812 |
| No log | 7.4054 | 274 | 0.6860 | 0.5788 | 0.6860 | 0.8282 |
| No log | 7.4595 | 276 | 0.7719 | 0.5501 | 0.7719 | 0.8786 |
| No log | 7.5135 | 278 | 0.8192 | 0.5577 | 0.8192 | 0.9051 |
| No log | 7.5676 | 280 | 0.9811 | 0.5261 | 0.9811 | 0.9905 |
| No log | 7.6216 | 282 | 1.0112 | 0.5283 | 1.0112 | 1.0056 |
| No log | 7.6757 | 284 | 0.9006 | 0.5098 | 0.9006 | 0.9490 |
| No log | 7.7297 | 286 | 0.7731 | 0.5842 | 0.7731 | 0.8793 |
| No log | 7.7838 | 288 | 0.7109 | 0.5885 | 0.7109 | 0.8432 |
| No log | 7.8378 | 290 | 0.7276 | 0.5888 | 0.7276 | 0.8530 |
| No log | 7.8919 | 292 | 0.6901 | 0.5888 | 0.6901 | 0.8308 |
| No log | 7.9459 | 294 | 0.6468 | 0.5798 | 0.6468 | 0.8042 |
| No log | 8.0 | 296 | 0.6145 | 0.6547 | 0.6145 | 0.7839 |
| No log | 8.0541 | 298 | 0.6675 | 0.6184 | 0.6675 | 0.8170 |
| No log | 8.1081 | 300 | 0.7182 | 0.5837 | 0.7182 | 0.8475 |
| No log | 8.1622 | 302 | 0.7059 | 0.6174 | 0.7059 | 0.8402 |
| No log | 8.2162 | 304 | 0.6921 | 0.4975 | 0.6921 | 0.8319 |
| No log | 8.2703 | 306 | 0.7473 | 0.4826 | 0.7473 | 0.8645 |
| No log | 8.3243 | 308 | 0.7212 | 0.4725 | 0.7212 | 0.8492 |
| No log | 8.3784 | 310 | 0.7004 | 0.4995 | 0.7004 | 0.8369 |
| No log | 8.4324 | 312 | 0.6951 | 0.5210 | 0.6951 | 0.8337 |
| No log | 8.4865 | 314 | 0.7388 | 0.4820 | 0.7388 | 0.8595 |
| No log | 8.5405 | 316 | 0.7140 | 0.5039 | 0.7140 | 0.8450 |
| No log | 8.5946 | 318 | 0.6822 | 0.5516 | 0.6822 | 0.8259 |
| No log | 8.6486 | 320 | 0.6924 | 0.5383 | 0.6924 | 0.8321 |
| No log | 8.7027 | 322 | 0.7499 | 0.5032 | 0.7499 | 0.8659 |
| No log | 8.7568 | 324 | 0.7841 | 0.4581 | 0.7841 | 0.8855 |
| No log | 8.8108 | 326 | 0.9165 | 0.4869 | 0.9165 | 0.9573 |
| No log | 8.8649 | 328 | 0.9213 | 0.4769 | 0.9213 | 0.9598 |
| No log | 8.9189 | 330 | 0.8215 | 0.5020 | 0.8215 | 0.9064 |
| No log | 8.9730 | 332 | 0.7809 | 0.4916 | 0.7809 | 0.8837 |
| No log | 9.0270 | 334 | 0.6859 | 0.4818 | 0.6859 | 0.8282 |
| No log | 9.0811 | 336 | 0.6175 | 0.6003 | 0.6175 | 0.7858 |
| No log | 9.1351 | 338 | 0.6139 | 0.5726 | 0.6139 | 0.7835 |
| No log | 9.1892 | 340 | 0.6292 | 0.5350 | 0.6292 | 0.7932 |
| No log | 9.2432 | 342 | 0.6154 | 0.6185 | 0.6154 | 0.7845 |
| No log | 9.2973 | 344 | 0.6523 | 0.4940 | 0.6523 | 0.8077 |
| No log | 9.3514 | 346 | 0.7411 | 0.4921 | 0.7411 | 0.8608 |
| No log | 9.4054 | 348 | 0.7717 | 0.4911 | 0.7717 | 0.8785 |
| No log | 9.4595 | 350 | 0.7105 | 0.5026 | 0.7105 | 0.8429 |
| No log | 9.5135 | 352 | 0.6449 | 0.6473 | 0.6449 | 0.8030 |
| No log | 9.5676 | 354 | 0.6240 | 0.6838 | 0.6240 | 0.7899 |
| No log | 9.6216 | 356 | 0.6388 | 0.5869 | 0.6388 | 0.7992 |
| No log | 9.6757 | 358 | 0.7152 | 0.4921 | 0.7152 | 0.8457 |
| No log | 9.7297 | 360 | 0.7273 | 0.4696 | 0.7273 | 0.8528 |
| No log | 9.7838 | 362 | 0.6767 | 0.4832 | 0.6767 | 0.8226 |
| No log | 9.8378 | 364 | 0.6189 | 0.5546 | 0.6189 | 0.7867 |
| No log | 9.8919 | 366 | 0.5973 | 0.5894 | 0.5973 | 0.7729 |
| No log | 9.9459 | 368 | 0.5956 | 0.5894 | 0.5956 | 0.7717 |
| No log | 10.0 | 370 | 0.6323 | 0.5410 | 0.6323 | 0.7952 |
| No log | 10.0541 | 372 | 0.6474 | 0.5498 | 0.6474 | 0.8046 |
| No log | 10.1081 | 374 | 0.6206 | 0.6656 | 0.6206 | 0.7878 |
| No log | 10.1622 | 376 | 0.6039 | 0.6932 | 0.6039 | 0.7771 |
| No log | 10.2162 | 378 | 0.5928 | 0.6940 | 0.5928 | 0.7699 |
| No log | 10.2703 | 380 | 0.5781 | 0.6932 | 0.5781 | 0.7603 |
| No log | 10.3243 | 382 | 0.5702 | 0.6866 | 0.5702 | 0.7551 |
| No log | 10.3784 | 384 | 0.5866 | 0.6301 | 0.5866 | 0.7659 |
| No log | 10.4324 | 386 | 0.5850 | 0.6102 | 0.5850 | 0.7649 |
| No log | 10.4865 | 388 | 0.5623 | 0.6805 | 0.5623 | 0.7499 |
| No log | 10.5405 | 390 | 0.5695 | 0.6795 | 0.5695 | 0.7547 |
| No log | 10.5946 | 392 | 0.5507 | 0.6750 | 0.5507 | 0.7421 |
| No log | 10.6486 | 394 | 0.5292 | 0.7362 | 0.5292 | 0.7275 |
| No log | 10.7027 | 396 | 0.5596 | 0.6973 | 0.5596 | 0.7481 |
| No log | 10.7568 | 398 | 0.5713 | 0.6973 | 0.5713 | 0.7558 |
| No log | 10.8108 | 400 | 0.5541 | 0.7303 | 0.5541 | 0.7444 |
| No log | 10.8649 | 402 | 0.5594 | 0.6708 | 0.5594 | 0.7479 |
| No log | 10.9189 | 404 | 0.5631 | 0.6813 | 0.5631 | 0.7504 |
| No log | 10.9730 | 406 | 0.5636 | 0.6813 | 0.5636 | 0.7507 |
| No log | 11.0270 | 408 | 0.5760 | 0.6664 | 0.5760 | 0.7589 |
| No log | 11.0811 | 410 | 0.6040 | 0.5774 | 0.6040 | 0.7772 |
| No log | 11.1351 | 412 | 0.5967 | 0.5921 | 0.5967 | 0.7725 |
| No log | 11.1892 | 414 | 0.5973 | 0.6173 | 0.5973 | 0.7729 |
| No log | 11.2432 | 416 | 0.6006 | 0.6280 | 0.6006 | 0.7750 |
| No log | 11.2973 | 418 | 0.6338 | 0.4711 | 0.6338 | 0.7961 |
| No log | 11.3514 | 420 | 0.7428 | 0.5253 | 0.7428 | 0.8619 |
| No log | 11.4054 | 422 | 0.7465 | 0.5241 | 0.7465 | 0.8640 |
| No log | 11.4595 | 424 | 0.6444 | 0.4940 | 0.6444 | 0.8028 |
| No log | 11.5135 | 426 | 0.5814 | 0.6673 | 0.5814 | 0.7625 |
| No log | 11.5676 | 428 | 0.5859 | 0.7059 | 0.5859 | 0.7655 |
| No log | 11.6216 | 430 | 0.5996 | 0.6291 | 0.5996 | 0.7744 |
| No log | 11.6757 | 432 | 0.6197 | 0.5851 | 0.6197 | 0.7872 |
| No log | 11.7297 | 434 | 0.6280 | 0.5149 | 0.6280 | 0.7925 |
| No log | 11.7838 | 436 | 0.6479 | 0.4867 | 0.6479 | 0.8049 |
| No log | 11.8378 | 438 | 0.6414 | 0.4473 | 0.6414 | 0.8009 |
| No log | 11.8919 | 440 | 0.6184 | 0.6044 | 0.6184 | 0.7864 |
| No log | 11.9459 | 442 | 0.6007 | 0.6044 | 0.6007 | 0.7750 |
| No log | 12.0 | 444 | 0.5867 | 0.6380 | 0.5867 | 0.7659 |
| No log | 12.0541 | 446 | 0.5879 | 0.6405 | 0.5879 | 0.7668 |
| No log | 12.1081 | 448 | 0.5775 | 0.6510 | 0.5775 | 0.7599 |
| No log | 12.1622 | 450 | 0.5560 | 0.7089 | 0.5560 | 0.7457 |
| No log | 12.2162 | 452 | 0.5716 | 0.7154 | 0.5716 | 0.7560 |
| No log | 12.2703 | 454 | 0.5707 | 0.7533 | 0.5707 | 0.7555 |
| No log | 12.3243 | 456 | 0.5405 | 0.7245 | 0.5405 | 0.7352 |
| No log | 12.3784 | 458 | 0.5489 | 0.6916 | 0.5489 | 0.7409 |
| No log | 12.4324 | 460 | 0.5919 | 0.6167 | 0.5919 | 0.7694 |
| No log | 12.4865 | 462 | 0.6297 | 0.5833 | 0.6297 | 0.7935 |
| No log | 12.5405 | 464 | 0.6148 | 0.6167 | 0.6148 | 0.7841 |
| No log | 12.5946 | 466 | 0.6060 | 0.5869 | 0.6060 | 0.7785 |
| No log | 12.6486 | 468 | 0.6323 | 0.5975 | 0.6323 | 0.7952 |
| No log | 12.7027 | 470 | 0.6405 | 0.5975 | 0.6405 | 0.8003 |
| No log | 12.7568 | 472 | 0.5952 | 0.5975 | 0.5952 | 0.7715 |
| No log | 12.8108 | 474 | 0.5957 | 0.5975 | 0.5957 | 0.7718 |
| No log | 12.8649 | 476 | 0.6373 | 0.5975 | 0.6373 | 0.7983 |
| No log | 12.9189 | 478 | 0.7246 | 0.5219 | 0.7246 | 0.8513 |
| No log | 12.9730 | 480 | 0.6805 | 0.5372 | 0.6805 | 0.8250 |
| No log | 13.0270 | 482 | 0.5757 | 0.5975 | 0.5757 | 0.7588 |
| No log | 13.0811 | 484 | 0.5312 | 0.6879 | 0.5312 | 0.7288 |
| No log | 13.1351 | 486 | 0.5298 | 0.7118 | 0.5298 | 0.7279 |
| No log | 13.1892 | 488 | 0.5304 | 0.7042 | 0.5304 | 0.7283 |
| No log | 13.2432 | 490 | 0.5307 | 0.7176 | 0.5307 | 0.7285 |
| No log | 13.2973 | 492 | 0.5541 | 0.5774 | 0.5541 | 0.7444 |
| No log | 13.3514 | 494 | 0.6201 | 0.6377 | 0.6201 | 0.7875 |
| No log | 13.4054 | 496 | 0.6009 | 0.6377 | 0.6009 | 0.7752 |
| No log | 13.4595 | 498 | 0.5485 | 0.6241 | 0.5485 | 0.7406 |
| 0.3241 | 13.5135 | 500 | 0.5446 | 0.6648 | 0.5446 | 0.7380 |
| 0.3241 | 13.5676 | 502 | 0.5527 | 0.6456 | 0.5527 | 0.7435 |
| 0.3241 | 13.6216 | 504 | 0.5547 | 0.6736 | 0.5547 | 0.7448 |
| 0.3241 | 13.6757 | 506 | 0.5884 | 0.6328 | 0.5884 | 0.7671 |
| 0.3241 | 13.7297 | 508 | 0.6463 | 0.6004 | 0.6463 | 0.8040 |
| 0.3241 | 13.7838 | 510 | 0.6263 | 0.6109 | 0.6263 | 0.7914 |
| 0.3241 | 13.8378 | 512 | 0.5667 | 0.6328 | 0.5667 | 0.7528 |
| 0.3241 | 13.8919 | 514 | 0.5476 | 0.7081 | 0.5476 | 0.7400 |
| 0.3241 | 13.9459 | 516 | 0.5446 | 0.7124 | 0.5446 | 0.7380 |
| 0.3241 | 14.0 | 518 | 0.5531 | 0.6950 | 0.5531 | 0.7437 |
| 0.3241 | 14.0541 | 520 | 0.5666 | 0.5798 | 0.5666 | 0.7528 |
| 0.3241 | 14.1081 | 522 | 0.6093 | 0.6167 | 0.6093 | 0.7805 |
| 0.3241 | 14.1622 | 524 | 0.6472 | 0.5707 | 0.6472 | 0.8045 |
| 0.3241 | 14.2162 | 526 | 0.6225 | 0.5938 | 0.6225 | 0.7890 |
| 0.3241 | 14.2703 | 528 | 0.5632 | 0.5774 | 0.5632 | 0.7505 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- -
Model tree for MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k7_task5_organization
Base model
aubmindlab/bert-base-arabertv02