Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k19_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k19_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k19_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k19_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k19_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_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: 1.2373
- Qwk: 0.5009
- Mse: 1.2373
- Rmse: 1.1123
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 | 5.4349 | -0.0328 | 5.4349 | 2.3313 |
| No log | 0.0435 | 4 | 3.0834 | 0.0601 | 3.0834 | 1.7560 |
| No log | 0.0652 | 6 | 2.0435 | 0.0427 | 2.0435 | 1.4295 |
| No log | 0.0870 | 8 | 1.4817 | 0.1232 | 1.4817 | 1.2173 |
| No log | 0.1087 | 10 | 1.3052 | 0.2078 | 1.3052 | 1.1424 |
| No log | 0.1304 | 12 | 1.3169 | 0.1800 | 1.3169 | 1.1476 |
| No log | 0.1522 | 14 | 1.4076 | 0.1119 | 1.4076 | 1.1864 |
| No log | 0.1739 | 16 | 1.3572 | 0.0921 | 1.3572 | 1.1650 |
| No log | 0.1957 | 18 | 1.3384 | 0.1218 | 1.3384 | 1.1569 |
| No log | 0.2174 | 20 | 1.3317 | 0.1328 | 1.3317 | 1.1540 |
| No log | 0.2391 | 22 | 1.3973 | 0.2038 | 1.3973 | 1.1821 |
| No log | 0.2609 | 24 | 1.4469 | 0.2079 | 1.4469 | 1.2029 |
| No log | 0.2826 | 26 | 1.4345 | 0.1860 | 1.4345 | 1.1977 |
| No log | 0.3043 | 28 | 1.3468 | 0.1513 | 1.3468 | 1.1605 |
| No log | 0.3261 | 30 | 1.1425 | 0.3145 | 1.1425 | 1.0689 |
| No log | 0.3478 | 32 | 1.0327 | 0.2638 | 1.0327 | 1.0162 |
| No log | 0.3696 | 34 | 1.0215 | 0.2217 | 1.0215 | 1.0107 |
| No log | 0.3913 | 36 | 1.0012 | 0.2080 | 1.0012 | 1.0006 |
| No log | 0.4130 | 38 | 0.9620 | 0.2386 | 0.9620 | 0.9808 |
| No log | 0.4348 | 40 | 0.9243 | 0.3271 | 0.9243 | 0.9614 |
| No log | 0.4565 | 42 | 0.8796 | 0.3800 | 0.8796 | 0.9378 |
| No log | 0.4783 | 44 | 0.8936 | 0.3406 | 0.8936 | 0.9453 |
| No log | 0.5 | 46 | 0.9526 | 0.4334 | 0.9526 | 0.9760 |
| No log | 0.5217 | 48 | 1.1988 | 0.2427 | 1.1988 | 1.0949 |
| No log | 0.5435 | 50 | 1.2192 | 0.2802 | 1.2192 | 1.1042 |
| No log | 0.5652 | 52 | 0.9686 | 0.4890 | 0.9686 | 0.9842 |
| No log | 0.5870 | 54 | 0.9168 | 0.4814 | 0.9168 | 0.9575 |
| No log | 0.6087 | 56 | 1.1307 | 0.4447 | 1.1307 | 1.0633 |
| No log | 0.6304 | 58 | 1.0048 | 0.4857 | 1.0048 | 1.0024 |
| No log | 0.6522 | 60 | 0.8534 | 0.5572 | 0.8534 | 0.9238 |
| No log | 0.6739 | 62 | 0.7848 | 0.5851 | 0.7848 | 0.8859 |
| No log | 0.6957 | 64 | 0.9106 | 0.5355 | 0.9106 | 0.9543 |
| No log | 0.7174 | 66 | 0.8969 | 0.5474 | 0.8969 | 0.9470 |
| No log | 0.7391 | 68 | 0.7455 | 0.6318 | 0.7455 | 0.8635 |
| No log | 0.7609 | 70 | 0.7001 | 0.6726 | 0.7001 | 0.8367 |
| No log | 0.7826 | 72 | 0.6204 | 0.6567 | 0.6204 | 0.7877 |
| No log | 0.8043 | 74 | 0.6020 | 0.6561 | 0.6020 | 0.7759 |
| No log | 0.8261 | 76 | 0.6627 | 0.6283 | 0.6627 | 0.8140 |
| No log | 0.8478 | 78 | 0.8941 | 0.5795 | 0.8941 | 0.9456 |
| No log | 0.8696 | 80 | 0.9204 | 0.5988 | 0.9204 | 0.9594 |
| No log | 0.8913 | 82 | 0.7490 | 0.6319 | 0.7490 | 0.8654 |
| No log | 0.9130 | 84 | 0.8222 | 0.6027 | 0.8222 | 0.9068 |
| No log | 0.9348 | 86 | 0.7203 | 0.6409 | 0.7203 | 0.8487 |
| No log | 0.9565 | 88 | 0.6856 | 0.6924 | 0.6856 | 0.8280 |
| No log | 0.9783 | 90 | 0.7433 | 0.6346 | 0.7433 | 0.8621 |
| No log | 1.0 | 92 | 0.7919 | 0.6159 | 0.7919 | 0.8899 |
| No log | 1.0217 | 94 | 0.7131 | 0.6821 | 0.7131 | 0.8444 |
| No log | 1.0435 | 96 | 0.6790 | 0.6965 | 0.6790 | 0.8240 |
| No log | 1.0652 | 98 | 0.6316 | 0.6986 | 0.6316 | 0.7947 |
| No log | 1.0870 | 100 | 0.6142 | 0.7159 | 0.6142 | 0.7837 |
| No log | 1.1087 | 102 | 0.7440 | 0.6598 | 0.7440 | 0.8626 |
| No log | 1.1304 | 104 | 0.8350 | 0.6553 | 0.8350 | 0.9138 |
| No log | 1.1522 | 106 | 0.8318 | 0.6454 | 0.8318 | 0.9120 |
| No log | 1.1739 | 108 | 0.7696 | 0.6339 | 0.7696 | 0.8773 |
| No log | 1.1957 | 110 | 0.6641 | 0.6772 | 0.6641 | 0.8149 |
| No log | 1.2174 | 112 | 0.6779 | 0.6664 | 0.6779 | 0.8233 |
| No log | 1.2391 | 114 | 0.7501 | 0.6579 | 0.7501 | 0.8661 |
| No log | 1.2609 | 116 | 0.7228 | 0.6854 | 0.7228 | 0.8502 |
| No log | 1.2826 | 118 | 0.8090 | 0.6368 | 0.8090 | 0.8995 |
| No log | 1.3043 | 120 | 0.9336 | 0.5932 | 0.9336 | 0.9663 |
| No log | 1.3261 | 122 | 0.7274 | 0.6675 | 0.7274 | 0.8529 |
| No log | 1.3478 | 124 | 0.6470 | 0.6957 | 0.6470 | 0.8044 |
| No log | 1.3696 | 126 | 0.6383 | 0.6855 | 0.6383 | 0.7989 |
| No log | 1.3913 | 128 | 0.6708 | 0.6972 | 0.6708 | 0.8190 |
| No log | 1.4130 | 130 | 0.9643 | 0.5860 | 0.9643 | 0.9820 |
| No log | 1.4348 | 132 | 1.2423 | 0.4704 | 1.2423 | 1.1146 |
| No log | 1.4565 | 134 | 1.4348 | 0.4111 | 1.4348 | 1.1978 |
| No log | 1.4783 | 136 | 1.2580 | 0.4453 | 1.2580 | 1.1216 |
| No log | 1.5 | 138 | 0.8567 | 0.6046 | 0.8567 | 0.9256 |
| No log | 1.5217 | 140 | 0.6599 | 0.6964 | 0.6599 | 0.8123 |
| No log | 1.5435 | 142 | 0.7733 | 0.6626 | 0.7733 | 0.8794 |
| No log | 1.5652 | 144 | 0.7531 | 0.6626 | 0.7531 | 0.8678 |
| No log | 1.5870 | 146 | 0.6472 | 0.6930 | 0.6472 | 0.8045 |
| No log | 1.6087 | 148 | 0.7613 | 0.6441 | 0.7613 | 0.8726 |
| No log | 1.6304 | 150 | 0.9106 | 0.5869 | 0.9106 | 0.9543 |
| No log | 1.6522 | 152 | 0.9059 | 0.5869 | 0.9059 | 0.9518 |
| No log | 1.6739 | 154 | 0.7712 | 0.6330 | 0.7711 | 0.8782 |
| No log | 1.6957 | 156 | 0.7137 | 0.6675 | 0.7137 | 0.8448 |
| No log | 1.7174 | 158 | 0.6752 | 0.6803 | 0.6752 | 0.8217 |
| No log | 1.7391 | 160 | 0.7267 | 0.6483 | 0.7267 | 0.8524 |
| No log | 1.7609 | 162 | 0.8621 | 0.6236 | 0.8621 | 0.9285 |
| No log | 1.7826 | 164 | 1.0972 | 0.5112 | 1.0972 | 1.0475 |
| No log | 1.8043 | 166 | 1.2649 | 0.5043 | 1.2649 | 1.1247 |
| No log | 1.8261 | 168 | 1.1192 | 0.5265 | 1.1192 | 1.0579 |
| No log | 1.8478 | 170 | 0.8188 | 0.6230 | 0.8188 | 0.9049 |
| No log | 1.8696 | 172 | 0.6491 | 0.7072 | 0.6491 | 0.8056 |
| No log | 1.8913 | 174 | 0.6414 | 0.6699 | 0.6414 | 0.8009 |
| No log | 1.9130 | 176 | 0.6652 | 0.6632 | 0.6652 | 0.8156 |
| No log | 1.9348 | 178 | 0.7587 | 0.6543 | 0.7587 | 0.8710 |
| No log | 1.9565 | 180 | 0.8626 | 0.6031 | 0.8626 | 0.9288 |
| No log | 1.9783 | 182 | 0.8770 | 0.5814 | 0.8770 | 0.9365 |
| No log | 2.0 | 184 | 0.7691 | 0.6340 | 0.7691 | 0.8770 |
| No log | 2.0217 | 186 | 0.7162 | 0.6954 | 0.7162 | 0.8463 |
| No log | 2.0435 | 188 | 0.7059 | 0.7169 | 0.7059 | 0.8402 |
| No log | 2.0652 | 190 | 0.7477 | 0.6366 | 0.7477 | 0.8647 |
| No log | 2.0870 | 192 | 0.8957 | 0.5742 | 0.8957 | 0.9464 |
| No log | 2.1087 | 194 | 1.1069 | 0.5272 | 1.1069 | 1.0521 |
| No log | 2.1304 | 196 | 1.1707 | 0.4853 | 1.1707 | 1.0820 |
| No log | 2.1522 | 198 | 1.1140 | 0.5052 | 1.1140 | 1.0555 |
| No log | 2.1739 | 200 | 1.0591 | 0.5297 | 1.0591 | 1.0291 |
| No log | 2.1957 | 202 | 1.0944 | 0.5213 | 1.0944 | 1.0461 |
| No log | 2.2174 | 204 | 1.1549 | 0.5057 | 1.1549 | 1.0747 |
| No log | 2.2391 | 206 | 1.1462 | 0.5022 | 1.1462 | 1.0706 |
| No log | 2.2609 | 208 | 1.1176 | 0.5016 | 1.1176 | 1.0571 |
| No log | 2.2826 | 210 | 0.9697 | 0.5935 | 0.9697 | 0.9848 |
| No log | 2.3043 | 212 | 0.8978 | 0.5856 | 0.8978 | 0.9475 |
| No log | 2.3261 | 214 | 0.8968 | 0.5856 | 0.8968 | 0.9470 |
| No log | 2.3478 | 216 | 0.9610 | 0.5861 | 0.9610 | 0.9803 |
| No log | 2.3696 | 218 | 0.9713 | 0.6076 | 0.9713 | 0.9855 |
| No log | 2.3913 | 220 | 1.1673 | 0.5327 | 1.1673 | 1.0804 |
| No log | 2.4130 | 222 | 1.3520 | 0.4774 | 1.3520 | 1.1628 |
| No log | 2.4348 | 224 | 1.2968 | 0.4858 | 1.2968 | 1.1388 |
| No log | 2.4565 | 226 | 1.0158 | 0.5896 | 1.0158 | 1.0079 |
| No log | 2.4783 | 228 | 0.7831 | 0.6177 | 0.7831 | 0.8849 |
| No log | 2.5 | 230 | 0.7375 | 0.6420 | 0.7375 | 0.8588 |
| No log | 2.5217 | 232 | 0.7949 | 0.6030 | 0.7949 | 0.8916 |
| No log | 2.5435 | 234 | 0.9461 | 0.5900 | 0.9461 | 0.9727 |
| No log | 2.5652 | 236 | 1.0069 | 0.5884 | 1.0069 | 1.0034 |
| No log | 2.5870 | 238 | 0.9296 | 0.5884 | 0.9296 | 0.9642 |
| No log | 2.6087 | 240 | 0.7076 | 0.6229 | 0.7076 | 0.8412 |
| No log | 2.6304 | 242 | 0.6529 | 0.6747 | 0.6529 | 0.8080 |
| No log | 2.6522 | 244 | 0.6551 | 0.6545 | 0.6551 | 0.8094 |
| No log | 2.6739 | 246 | 0.7671 | 0.6200 | 0.7671 | 0.8759 |
| No log | 2.6957 | 248 | 1.0365 | 0.5965 | 1.0365 | 1.0181 |
| No log | 2.7174 | 250 | 1.1231 | 0.5213 | 1.1231 | 1.0598 |
| No log | 2.7391 | 252 | 0.9925 | 0.5915 | 0.9925 | 0.9963 |
| No log | 2.7609 | 254 | 0.8538 | 0.6301 | 0.8538 | 0.9240 |
| No log | 2.7826 | 256 | 0.7258 | 0.6101 | 0.7258 | 0.8519 |
| No log | 2.8043 | 258 | 0.6951 | 0.6751 | 0.6951 | 0.8337 |
| No log | 2.8261 | 260 | 0.6683 | 0.6752 | 0.6683 | 0.8175 |
| No log | 2.8478 | 262 | 0.6866 | 0.6654 | 0.6866 | 0.8286 |
| No log | 2.8696 | 264 | 0.8057 | 0.6193 | 0.8057 | 0.8976 |
| No log | 2.8913 | 266 | 0.9429 | 0.6179 | 0.9429 | 0.9710 |
| No log | 2.9130 | 268 | 0.8453 | 0.6058 | 0.8453 | 0.9194 |
| No log | 2.9348 | 270 | 0.6659 | 0.6927 | 0.6659 | 0.8160 |
| No log | 2.9565 | 272 | 0.5817 | 0.7051 | 0.5817 | 0.7627 |
| No log | 2.9783 | 274 | 0.5809 | 0.7258 | 0.5809 | 0.7622 |
| No log | 3.0 | 276 | 0.6721 | 0.6655 | 0.6721 | 0.8198 |
| No log | 3.0217 | 278 | 0.9002 | 0.6605 | 0.9002 | 0.9488 |
| No log | 3.0435 | 280 | 0.9243 | 0.6578 | 0.9243 | 0.9614 |
| No log | 3.0652 | 282 | 0.8548 | 0.6559 | 0.8548 | 0.9246 |
| No log | 3.0870 | 284 | 0.7423 | 0.6890 | 0.7423 | 0.8616 |
| No log | 3.1087 | 286 | 0.6323 | 0.7036 | 0.6323 | 0.7951 |
| No log | 3.1304 | 288 | 0.6231 | 0.7203 | 0.6231 | 0.7894 |
| No log | 3.1522 | 290 | 0.6595 | 0.6714 | 0.6595 | 0.8121 |
| No log | 3.1739 | 292 | 0.8477 | 0.6258 | 0.8477 | 0.9207 |
| No log | 3.1957 | 294 | 1.1609 | 0.5686 | 1.1609 | 1.0775 |
| No log | 3.2174 | 296 | 1.2180 | 0.5242 | 1.2180 | 1.1037 |
| No log | 3.2391 | 298 | 1.0414 | 0.5971 | 1.0414 | 1.0205 |
| No log | 3.2609 | 300 | 0.8067 | 0.6092 | 0.8067 | 0.8982 |
| No log | 3.2826 | 302 | 0.6892 | 0.6050 | 0.6892 | 0.8302 |
| No log | 3.3043 | 304 | 0.6826 | 0.6241 | 0.6826 | 0.8262 |
| No log | 3.3261 | 306 | 0.7247 | 0.5955 | 0.7247 | 0.8513 |
| No log | 3.3478 | 308 | 0.8261 | 0.6200 | 0.8261 | 0.9089 |
| No log | 3.3696 | 310 | 0.9357 | 0.6109 | 0.9357 | 0.9673 |
| No log | 3.3913 | 312 | 0.9024 | 0.6140 | 0.9024 | 0.9499 |
| No log | 3.4130 | 314 | 0.7974 | 0.6318 | 0.7974 | 0.8930 |
| No log | 3.4348 | 316 | 0.7703 | 0.6265 | 0.7703 | 0.8777 |
| No log | 3.4565 | 318 | 0.8199 | 0.6204 | 0.8199 | 0.9055 |
| No log | 3.4783 | 320 | 0.9337 | 0.6030 | 0.9337 | 0.9663 |
| No log | 3.5 | 322 | 0.9660 | 0.5831 | 0.9660 | 0.9828 |
| No log | 3.5217 | 324 | 0.9251 | 0.5795 | 0.9251 | 0.9618 |
| No log | 3.5435 | 326 | 0.8827 | 0.5851 | 0.8827 | 0.9395 |
| No log | 3.5652 | 328 | 0.8177 | 0.5855 | 0.8177 | 0.9043 |
| No log | 3.5870 | 330 | 0.8183 | 0.5855 | 0.8183 | 0.9046 |
| No log | 3.6087 | 332 | 0.8772 | 0.6020 | 0.8772 | 0.9366 |
| No log | 3.6304 | 334 | 1.0638 | 0.5564 | 1.0638 | 1.0314 |
| No log | 3.6522 | 336 | 1.1190 | 0.5463 | 1.1190 | 1.0578 |
| No log | 3.6739 | 338 | 1.0502 | 0.5776 | 1.0502 | 1.0248 |
| No log | 3.6957 | 340 | 1.0263 | 0.5741 | 1.0263 | 1.0131 |
| No log | 3.7174 | 342 | 0.9389 | 0.5998 | 0.9389 | 0.9690 |
| No log | 3.7391 | 344 | 0.8336 | 0.6183 | 0.8336 | 0.9130 |
| No log | 3.7609 | 346 | 0.7794 | 0.5910 | 0.7794 | 0.8829 |
| No log | 3.7826 | 348 | 0.7724 | 0.5928 | 0.7724 | 0.8789 |
| No log | 3.8043 | 350 | 0.7355 | 0.6171 | 0.7355 | 0.8576 |
| No log | 3.8261 | 352 | 0.7736 | 0.6244 | 0.7736 | 0.8795 |
| No log | 3.8478 | 354 | 0.8690 | 0.6187 | 0.8690 | 0.9322 |
| No log | 3.8696 | 356 | 0.8693 | 0.6343 | 0.8693 | 0.9324 |
| No log | 3.8913 | 358 | 0.7792 | 0.6603 | 0.7792 | 0.8827 |
| No log | 3.9130 | 360 | 0.6898 | 0.7151 | 0.6898 | 0.8305 |
| No log | 3.9348 | 362 | 0.6768 | 0.7090 | 0.6768 | 0.8226 |
| No log | 3.9565 | 364 | 0.6777 | 0.7030 | 0.6777 | 0.8232 |
| No log | 3.9783 | 366 | 0.6897 | 0.6775 | 0.6897 | 0.8305 |
| No log | 4.0 | 368 | 0.6740 | 0.6651 | 0.6740 | 0.8210 |
| No log | 4.0217 | 370 | 0.6454 | 0.6733 | 0.6454 | 0.8034 |
| No log | 4.0435 | 372 | 0.6406 | 0.6601 | 0.6406 | 0.8004 |
| No log | 4.0652 | 374 | 0.6450 | 0.6496 | 0.6450 | 0.8031 |
| No log | 4.0870 | 376 | 0.6344 | 0.6759 | 0.6344 | 0.7965 |
| No log | 4.1087 | 378 | 0.6696 | 0.6475 | 0.6696 | 0.8183 |
| No log | 4.1304 | 380 | 0.8100 | 0.6106 | 0.8100 | 0.9000 |
| No log | 4.1522 | 382 | 0.9600 | 0.5982 | 0.9600 | 0.9798 |
| No log | 4.1739 | 384 | 0.9173 | 0.5810 | 0.9173 | 0.9578 |
| No log | 4.1957 | 386 | 0.8490 | 0.6098 | 0.8490 | 0.9214 |
| No log | 4.2174 | 388 | 0.7473 | 0.6021 | 0.7473 | 0.8645 |
| No log | 4.2391 | 390 | 0.6268 | 0.6987 | 0.6268 | 0.7917 |
| No log | 4.2609 | 392 | 0.6124 | 0.7216 | 0.6124 | 0.7826 |
| No log | 4.2826 | 394 | 0.6101 | 0.7138 | 0.6101 | 0.7811 |
| No log | 4.3043 | 396 | 0.6756 | 0.6930 | 0.6756 | 0.8219 |
| No log | 4.3261 | 398 | 0.8166 | 0.6258 | 0.8166 | 0.9037 |
| No log | 4.3478 | 400 | 0.9271 | 0.6264 | 0.9271 | 0.9628 |
| No log | 4.3696 | 402 | 1.0219 | 0.6077 | 1.0219 | 1.0109 |
| No log | 4.3913 | 404 | 0.9345 | 0.6041 | 0.9345 | 0.9667 |
| No log | 4.4130 | 406 | 0.8198 | 0.6234 | 0.8198 | 0.9055 |
| No log | 4.4348 | 408 | 0.7328 | 0.6330 | 0.7328 | 0.8560 |
| No log | 4.4565 | 410 | 0.7080 | 0.6244 | 0.7080 | 0.8414 |
| No log | 4.4783 | 412 | 0.6751 | 0.6422 | 0.6751 | 0.8217 |
| No log | 4.5 | 414 | 0.6749 | 0.6489 | 0.6749 | 0.8215 |
| No log | 4.5217 | 416 | 0.6084 | 0.6959 | 0.6084 | 0.7800 |
| No log | 4.5435 | 418 | 0.5744 | 0.7292 | 0.5744 | 0.7579 |
| No log | 4.5652 | 420 | 0.5784 | 0.7300 | 0.5784 | 0.7605 |
| No log | 4.5870 | 422 | 0.5897 | 0.7316 | 0.5897 | 0.7679 |
| No log | 4.6087 | 424 | 0.5931 | 0.7283 | 0.5931 | 0.7702 |
| No log | 4.6304 | 426 | 0.6121 | 0.7128 | 0.6121 | 0.7823 |
| No log | 4.6522 | 428 | 0.6129 | 0.7015 | 0.6129 | 0.7829 |
| No log | 4.6739 | 430 | 0.6509 | 0.6768 | 0.6509 | 0.8068 |
| No log | 4.6957 | 432 | 0.7176 | 0.6239 | 0.7176 | 0.8471 |
| No log | 4.7174 | 434 | 0.7311 | 0.5941 | 0.7311 | 0.8550 |
| No log | 4.7391 | 436 | 0.6939 | 0.6382 | 0.6939 | 0.8330 |
| No log | 4.7609 | 438 | 0.6977 | 0.6117 | 0.6977 | 0.8353 |
| No log | 4.7826 | 440 | 0.8099 | 0.6145 | 0.8099 | 0.8999 |
| No log | 4.8043 | 442 | 0.8608 | 0.6375 | 0.8608 | 0.9278 |
| No log | 4.8261 | 444 | 0.7630 | 0.6695 | 0.7630 | 0.8735 |
| No log | 4.8478 | 446 | 0.7033 | 0.6817 | 0.7033 | 0.8386 |
| No log | 4.8696 | 448 | 0.6347 | 0.7182 | 0.6347 | 0.7967 |
| No log | 4.8913 | 450 | 0.6253 | 0.7076 | 0.6253 | 0.7908 |
| No log | 4.9130 | 452 | 0.6162 | 0.7125 | 0.6162 | 0.7850 |
| No log | 4.9348 | 454 | 0.6338 | 0.7015 | 0.6338 | 0.7961 |
| No log | 4.9565 | 456 | 0.6466 | 0.7055 | 0.6466 | 0.8041 |
| No log | 4.9783 | 458 | 0.7124 | 0.6772 | 0.7124 | 0.8440 |
| No log | 5.0 | 460 | 0.7202 | 0.6772 | 0.7202 | 0.8487 |
| No log | 5.0217 | 462 | 0.7049 | 0.6772 | 0.7049 | 0.8396 |
| No log | 5.0435 | 464 | 0.6616 | 0.6781 | 0.6616 | 0.8134 |
| No log | 5.0652 | 466 | 0.6397 | 0.6933 | 0.6397 | 0.7998 |
| No log | 5.0870 | 468 | 0.6746 | 0.6802 | 0.6746 | 0.8213 |
| No log | 5.1087 | 470 | 0.6811 | 0.6753 | 0.6811 | 0.8253 |
| No log | 5.1304 | 472 | 0.6710 | 0.6753 | 0.6710 | 0.8192 |
| No log | 5.1522 | 474 | 0.6882 | 0.6714 | 0.6882 | 0.8296 |
| No log | 5.1739 | 476 | 0.6948 | 0.6836 | 0.6948 | 0.8336 |
| No log | 5.1957 | 478 | 0.6462 | 0.7139 | 0.6462 | 0.8039 |
| No log | 5.2174 | 480 | 0.6385 | 0.7209 | 0.6385 | 0.7990 |
| No log | 5.2391 | 482 | 0.6081 | 0.7500 | 0.6081 | 0.7798 |
| No log | 5.2609 | 484 | 0.6439 | 0.7262 | 0.6439 | 0.8025 |
| No log | 5.2826 | 486 | 0.7150 | 0.7279 | 0.7150 | 0.8456 |
| No log | 5.3043 | 488 | 0.7637 | 0.6897 | 0.7637 | 0.8739 |
| No log | 5.3261 | 490 | 0.8184 | 0.6402 | 0.8184 | 0.9046 |
| No log | 5.3478 | 492 | 0.8171 | 0.6339 | 0.8171 | 0.9039 |
| No log | 5.3696 | 494 | 0.7886 | 0.6356 | 0.7886 | 0.8880 |
| No log | 5.3913 | 496 | 0.7497 | 0.6774 | 0.7497 | 0.8659 |
| No log | 5.4130 | 498 | 0.6904 | 0.7217 | 0.6904 | 0.8309 |
| 0.4306 | 5.4348 | 500 | 0.7403 | 0.7250 | 0.7403 | 0.8604 |
| 0.4306 | 5.4565 | 502 | 0.9276 | 0.6661 | 0.9276 | 0.9631 |
| 0.4306 | 5.4783 | 504 | 1.2376 | 0.6052 | 1.2376 | 1.1125 |
| 0.4306 | 5.5 | 506 | 1.4278 | 0.5539 | 1.4278 | 1.1949 |
| 0.4306 | 5.5217 | 508 | 1.3205 | 0.5121 | 1.3205 | 1.1491 |
| 0.4306 | 5.5435 | 510 | 1.2373 | 0.5009 | 1.2373 | 1.1123 |
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_run3_AugV5_k19_task1_organization
Base model
aubmindlab/bert-base-arabertv02