Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k5_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k5_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k5_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k5_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k5_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k5_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: 0.5386
- Qwk: 0.6337
- Mse: 0.5386
- Rmse: 0.7339
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 | 0.0714 | 2 | 4.2229 | -0.0111 | 4.2229 | 2.0550 |
| No log | 0.1429 | 4 | 2.3099 | 0.0485 | 2.3099 | 1.5199 |
| No log | 0.2143 | 6 | 1.3402 | 0.1044 | 1.3402 | 1.1577 |
| No log | 0.2857 | 8 | 0.8728 | 0.1209 | 0.8728 | 0.9342 |
| No log | 0.3571 | 10 | 0.7155 | 0.2723 | 0.7155 | 0.8459 |
| No log | 0.4286 | 12 | 0.7602 | 0.2467 | 0.7602 | 0.8719 |
| No log | 0.5 | 14 | 0.7732 | 0.2673 | 0.7732 | 0.8793 |
| No log | 0.5714 | 16 | 0.7889 | 0.3461 | 0.7889 | 0.8882 |
| No log | 0.6429 | 18 | 0.7451 | 0.2490 | 0.7451 | 0.8632 |
| No log | 0.7143 | 20 | 0.6764 | 0.2379 | 0.6764 | 0.8224 |
| No log | 0.7857 | 22 | 1.2112 | 0.0602 | 1.2112 | 1.1006 |
| No log | 0.8571 | 24 | 2.1778 | 0.0815 | 2.1778 | 1.4757 |
| No log | 0.9286 | 26 | 2.2373 | 0.0725 | 2.2373 | 1.4958 |
| No log | 1.0 | 28 | 2.0287 | 0.1243 | 2.0287 | 1.4243 |
| No log | 1.0714 | 30 | 1.9513 | 0.1178 | 1.9513 | 1.3969 |
| No log | 1.1429 | 32 | 1.5288 | 0.1166 | 1.5288 | 1.2364 |
| No log | 1.2143 | 34 | 1.0441 | 0.0718 | 1.0441 | 1.0218 |
| No log | 1.2857 | 36 | 0.8310 | 0.2532 | 0.8310 | 0.9116 |
| No log | 1.3571 | 38 | 0.7131 | 0.3315 | 0.7131 | 0.8445 |
| No log | 1.4286 | 40 | 0.6887 | 0.1706 | 0.6887 | 0.8299 |
| No log | 1.5 | 42 | 0.6982 | 0.1633 | 0.6982 | 0.8356 |
| No log | 1.5714 | 44 | 0.6761 | 0.2010 | 0.6761 | 0.8222 |
| No log | 1.6429 | 46 | 0.6811 | 0.2855 | 0.6811 | 0.8253 |
| No log | 1.7143 | 48 | 0.6993 | 0.3683 | 0.6993 | 0.8362 |
| No log | 1.7857 | 50 | 0.8011 | 0.3056 | 0.8011 | 0.8951 |
| No log | 1.8571 | 52 | 0.9084 | 0.2111 | 0.9084 | 0.9531 |
| No log | 1.9286 | 54 | 1.1517 | 0.0946 | 1.1517 | 1.0732 |
| No log | 2.0 | 56 | 1.4800 | 0.1294 | 1.4800 | 1.2165 |
| No log | 2.0714 | 58 | 1.6194 | 0.0770 | 1.6194 | 1.2726 |
| No log | 2.1429 | 60 | 1.3218 | 0.1269 | 1.3218 | 1.1497 |
| No log | 2.2143 | 62 | 0.9282 | 0.2579 | 0.9282 | 0.9634 |
| No log | 2.2857 | 64 | 0.7696 | 0.2670 | 0.7696 | 0.8773 |
| No log | 2.3571 | 66 | 0.7216 | 0.3447 | 0.7216 | 0.8495 |
| No log | 2.4286 | 68 | 0.6756 | 0.4010 | 0.6756 | 0.8219 |
| No log | 2.5 | 70 | 0.6284 | 0.3985 | 0.6284 | 0.7927 |
| No log | 2.5714 | 72 | 0.6102 | 0.3866 | 0.6102 | 0.7811 |
| No log | 2.6429 | 74 | 0.5951 | 0.3620 | 0.5951 | 0.7714 |
| No log | 2.7143 | 76 | 0.6070 | 0.4684 | 0.6070 | 0.7791 |
| No log | 2.7857 | 78 | 0.6886 | 0.3578 | 0.6886 | 0.8298 |
| No log | 2.8571 | 80 | 0.7911 | 0.3571 | 0.7911 | 0.8895 |
| No log | 2.9286 | 82 | 0.8824 | 0.3028 | 0.8824 | 0.9394 |
| No log | 3.0 | 84 | 1.0433 | 0.3144 | 1.0433 | 1.0214 |
| No log | 3.0714 | 86 | 1.1247 | 0.2518 | 1.1247 | 1.0605 |
| No log | 3.1429 | 88 | 1.0985 | 0.3261 | 1.0985 | 1.0481 |
| No log | 3.2143 | 90 | 1.1067 | 0.3225 | 1.1067 | 1.0520 |
| No log | 3.2857 | 92 | 1.0200 | 0.3711 | 1.0200 | 1.0100 |
| No log | 3.3571 | 94 | 0.9557 | 0.3898 | 0.9557 | 0.9776 |
| No log | 3.4286 | 96 | 0.9415 | 0.3985 | 0.9415 | 0.9703 |
| No log | 3.5 | 98 | 0.9022 | 0.4538 | 0.9022 | 0.9499 |
| No log | 3.5714 | 100 | 0.9668 | 0.4094 | 0.9668 | 0.9832 |
| No log | 3.6429 | 102 | 1.0374 | 0.4119 | 1.0374 | 1.0185 |
| No log | 3.7143 | 104 | 0.8932 | 0.4461 | 0.8932 | 0.9451 |
| No log | 3.7857 | 106 | 0.8273 | 0.4446 | 0.8273 | 0.9096 |
| No log | 3.8571 | 108 | 0.6801 | 0.5129 | 0.6801 | 0.8247 |
| No log | 3.9286 | 110 | 0.6487 | 0.5636 | 0.6487 | 0.8054 |
| No log | 4.0 | 112 | 0.6353 | 0.5227 | 0.6353 | 0.7970 |
| No log | 4.0714 | 114 | 0.6289 | 0.5062 | 0.6289 | 0.7930 |
| No log | 4.1429 | 116 | 0.6401 | 0.4726 | 0.6401 | 0.8001 |
| No log | 4.2143 | 118 | 0.6134 | 0.4985 | 0.6134 | 0.7832 |
| No log | 4.2857 | 120 | 0.5965 | 0.5467 | 0.5965 | 0.7723 |
| No log | 4.3571 | 122 | 0.6215 | 0.5211 | 0.6215 | 0.7884 |
| No log | 4.4286 | 124 | 0.6938 | 0.4935 | 0.6938 | 0.8329 |
| No log | 4.5 | 126 | 0.7999 | 0.5163 | 0.7999 | 0.8944 |
| No log | 4.5714 | 128 | 0.7861 | 0.5306 | 0.7861 | 0.8866 |
| No log | 4.6429 | 130 | 0.7123 | 0.5098 | 0.7123 | 0.8440 |
| No log | 4.7143 | 132 | 0.6326 | 0.5443 | 0.6326 | 0.7954 |
| No log | 4.7857 | 134 | 0.6501 | 0.5724 | 0.6501 | 0.8063 |
| No log | 4.8571 | 136 | 0.6658 | 0.4704 | 0.6658 | 0.8159 |
| No log | 4.9286 | 138 | 0.6165 | 0.4158 | 0.6165 | 0.7852 |
| No log | 5.0 | 140 | 0.6108 | 0.4847 | 0.6108 | 0.7816 |
| No log | 5.0714 | 142 | 0.5957 | 0.4596 | 0.5957 | 0.7718 |
| No log | 5.1429 | 144 | 0.6589 | 0.5541 | 0.6589 | 0.8117 |
| No log | 5.2143 | 146 | 0.7255 | 0.5580 | 0.7255 | 0.8518 |
| No log | 5.2857 | 148 | 0.7419 | 0.5109 | 0.7419 | 0.8613 |
| No log | 5.3571 | 150 | 0.7418 | 0.5244 | 0.7418 | 0.8613 |
| No log | 5.4286 | 152 | 0.6960 | 0.5321 | 0.6960 | 0.8343 |
| No log | 5.5 | 154 | 0.6253 | 0.5662 | 0.6253 | 0.7907 |
| No log | 5.5714 | 156 | 0.5517 | 0.5994 | 0.5517 | 0.7428 |
| No log | 5.6429 | 158 | 0.5320 | 0.5942 | 0.5320 | 0.7294 |
| No log | 5.7143 | 160 | 0.5270 | 0.5850 | 0.5270 | 0.7259 |
| No log | 5.7857 | 162 | 0.5080 | 0.6215 | 0.5080 | 0.7127 |
| No log | 5.8571 | 164 | 0.5139 | 0.6112 | 0.5139 | 0.7169 |
| No log | 5.9286 | 166 | 0.5464 | 0.6005 | 0.5464 | 0.7392 |
| No log | 6.0 | 168 | 0.6428 | 0.5688 | 0.6428 | 0.8018 |
| No log | 6.0714 | 170 | 0.6739 | 0.5673 | 0.6739 | 0.8209 |
| No log | 6.1429 | 172 | 0.8640 | 0.4564 | 0.8640 | 0.9295 |
| No log | 6.2143 | 174 | 0.9368 | 0.4311 | 0.9368 | 0.9679 |
| No log | 6.2857 | 176 | 0.8808 | 0.4732 | 0.8808 | 0.9385 |
| No log | 6.3571 | 178 | 0.7184 | 0.5745 | 0.7184 | 0.8476 |
| No log | 6.4286 | 180 | 0.6163 | 0.5630 | 0.6163 | 0.7850 |
| No log | 6.5 | 182 | 0.5983 | 0.5984 | 0.5983 | 0.7735 |
| No log | 6.5714 | 184 | 0.5801 | 0.5244 | 0.5801 | 0.7617 |
| No log | 6.6429 | 186 | 0.5885 | 0.5214 | 0.5885 | 0.7671 |
| No log | 6.7143 | 188 | 0.6220 | 0.5082 | 0.6220 | 0.7887 |
| No log | 6.7857 | 190 | 0.6259 | 0.4887 | 0.6259 | 0.7911 |
| No log | 6.8571 | 192 | 0.6156 | 0.5330 | 0.6156 | 0.7846 |
| No log | 6.9286 | 194 | 0.5950 | 0.5814 | 0.5950 | 0.7714 |
| No log | 7.0 | 196 | 0.6011 | 0.6000 | 0.6011 | 0.7753 |
| No log | 7.0714 | 198 | 0.6049 | 0.5924 | 0.6049 | 0.7777 |
| No log | 7.1429 | 200 | 0.6004 | 0.6065 | 0.6004 | 0.7748 |
| No log | 7.2143 | 202 | 0.6049 | 0.5941 | 0.6049 | 0.7778 |
| No log | 7.2857 | 204 | 0.6348 | 0.5806 | 0.6348 | 0.7967 |
| No log | 7.3571 | 206 | 0.6549 | 0.5716 | 0.6549 | 0.8093 |
| No log | 7.4286 | 208 | 0.6773 | 0.5928 | 0.6773 | 0.8230 |
| No log | 7.5 | 210 | 0.6754 | 0.5819 | 0.6754 | 0.8218 |
| No log | 7.5714 | 212 | 0.6687 | 0.5981 | 0.6687 | 0.8177 |
| No log | 7.6429 | 214 | 0.6694 | 0.5796 | 0.6695 | 0.8182 |
| No log | 7.7143 | 216 | 0.6343 | 0.5811 | 0.6343 | 0.7964 |
| No log | 7.7857 | 218 | 0.5811 | 0.5866 | 0.5811 | 0.7623 |
| No log | 7.8571 | 220 | 0.5723 | 0.5901 | 0.5723 | 0.7565 |
| No log | 7.9286 | 222 | 0.6591 | 0.4912 | 0.6591 | 0.8118 |
| No log | 8.0 | 224 | 0.7210 | 0.5006 | 0.7210 | 0.8491 |
| No log | 8.0714 | 226 | 0.6835 | 0.4976 | 0.6835 | 0.8267 |
| No log | 8.1429 | 228 | 0.5968 | 0.5219 | 0.5968 | 0.7725 |
| No log | 8.2143 | 230 | 0.5445 | 0.5681 | 0.5445 | 0.7379 |
| No log | 8.2857 | 232 | 0.5580 | 0.5918 | 0.5580 | 0.7470 |
| No log | 8.3571 | 234 | 0.6171 | 0.5657 | 0.6171 | 0.7856 |
| No log | 8.4286 | 236 | 0.6795 | 0.5664 | 0.6795 | 0.8243 |
| No log | 8.5 | 238 | 0.7019 | 0.5893 | 0.7019 | 0.8378 |
| No log | 8.5714 | 240 | 0.6858 | 0.6166 | 0.6858 | 0.8281 |
| No log | 8.6429 | 242 | 0.6657 | 0.5826 | 0.6657 | 0.8159 |
| No log | 8.7143 | 244 | 0.6448 | 0.5855 | 0.6448 | 0.8030 |
| No log | 8.7857 | 246 | 0.6278 | 0.5627 | 0.6278 | 0.7923 |
| No log | 8.8571 | 248 | 0.5996 | 0.5870 | 0.5996 | 0.7743 |
| No log | 8.9286 | 250 | 0.5593 | 0.5783 | 0.5593 | 0.7479 |
| No log | 9.0 | 252 | 0.5448 | 0.5724 | 0.5448 | 0.7381 |
| No log | 9.0714 | 254 | 0.5496 | 0.5667 | 0.5496 | 0.7414 |
| No log | 9.1429 | 256 | 0.5347 | 0.5864 | 0.5347 | 0.7312 |
| No log | 9.2143 | 258 | 0.5351 | 0.6015 | 0.5351 | 0.7315 |
| No log | 9.2857 | 260 | 0.5489 | 0.5905 | 0.5489 | 0.7409 |
| No log | 9.3571 | 262 | 0.5361 | 0.5875 | 0.5361 | 0.7322 |
| No log | 9.4286 | 264 | 0.5260 | 0.5899 | 0.5260 | 0.7253 |
| No log | 9.5 | 266 | 0.5255 | 0.5962 | 0.5255 | 0.7249 |
| No log | 9.5714 | 268 | 0.5167 | 0.5937 | 0.5167 | 0.7188 |
| No log | 9.6429 | 270 | 0.5205 | 0.6019 | 0.5205 | 0.7215 |
| No log | 9.7143 | 272 | 0.5151 | 0.6019 | 0.5151 | 0.7177 |
| No log | 9.7857 | 274 | 0.5037 | 0.6289 | 0.5037 | 0.7097 |
| No log | 9.8571 | 276 | 0.5024 | 0.6137 | 0.5024 | 0.7088 |
| No log | 9.9286 | 278 | 0.5049 | 0.6235 | 0.5049 | 0.7106 |
| No log | 10.0 | 280 | 0.5138 | 0.6100 | 0.5138 | 0.7168 |
| No log | 10.0714 | 282 | 0.5263 | 0.6168 | 0.5263 | 0.7255 |
| No log | 10.1429 | 284 | 0.5343 | 0.6020 | 0.5343 | 0.7310 |
| No log | 10.2143 | 286 | 0.5490 | 0.5651 | 0.5490 | 0.7410 |
| No log | 10.2857 | 288 | 0.5938 | 0.5084 | 0.5938 | 0.7706 |
| No log | 10.3571 | 290 | 0.6117 | 0.5084 | 0.6117 | 0.7821 |
| No log | 10.4286 | 292 | 0.5926 | 0.5303 | 0.5926 | 0.7698 |
| No log | 10.5 | 294 | 0.5583 | 0.5931 | 0.5583 | 0.7472 |
| No log | 10.5714 | 296 | 0.5274 | 0.6158 | 0.5274 | 0.7262 |
| No log | 10.6429 | 298 | 0.5536 | 0.5859 | 0.5536 | 0.7441 |
| No log | 10.7143 | 300 | 0.5814 | 0.5576 | 0.5814 | 0.7625 |
| No log | 10.7857 | 302 | 0.6096 | 0.5406 | 0.6096 | 0.7807 |
| No log | 10.8571 | 304 | 0.6273 | 0.5462 | 0.6273 | 0.7920 |
| No log | 10.9286 | 306 | 0.6541 | 0.5694 | 0.6541 | 0.8087 |
| No log | 11.0 | 308 | 0.6373 | 0.5731 | 0.6373 | 0.7983 |
| No log | 11.0714 | 310 | 0.6377 | 0.5530 | 0.6377 | 0.7986 |
| No log | 11.1429 | 312 | 0.6690 | 0.5293 | 0.6690 | 0.8179 |
| No log | 11.2143 | 314 | 0.6456 | 0.5321 | 0.6456 | 0.8035 |
| No log | 11.2857 | 316 | 0.6030 | 0.5595 | 0.6030 | 0.7765 |
| No log | 11.3571 | 318 | 0.5755 | 0.5743 | 0.5755 | 0.7586 |
| No log | 11.4286 | 320 | 0.5382 | 0.6268 | 0.5382 | 0.7336 |
| No log | 11.5 | 322 | 0.5224 | 0.6370 | 0.5224 | 0.7228 |
| No log | 11.5714 | 324 | 0.5211 | 0.6024 | 0.5211 | 0.7219 |
| No log | 11.6429 | 326 | 0.5157 | 0.5796 | 0.5157 | 0.7181 |
| No log | 11.7143 | 328 | 0.5097 | 0.6281 | 0.5097 | 0.7140 |
| No log | 11.7857 | 330 | 0.5134 | 0.6529 | 0.5134 | 0.7165 |
| No log | 11.8571 | 332 | 0.5240 | 0.6059 | 0.5240 | 0.7239 |
| No log | 11.9286 | 334 | 0.5267 | 0.6322 | 0.5267 | 0.7258 |
| No log | 12.0 | 336 | 0.5686 | 0.6039 | 0.5686 | 0.7541 |
| No log | 12.0714 | 338 | 0.6362 | 0.5943 | 0.6362 | 0.7976 |
| No log | 12.1429 | 340 | 0.6724 | 0.5825 | 0.6724 | 0.8200 |
| No log | 12.2143 | 342 | 0.7089 | 0.5902 | 0.7089 | 0.8419 |
| No log | 12.2857 | 344 | 0.6826 | 0.5924 | 0.6826 | 0.8262 |
| No log | 12.3571 | 346 | 0.6546 | 0.5944 | 0.6546 | 0.8091 |
| No log | 12.4286 | 348 | 0.6636 | 0.5545 | 0.6636 | 0.8146 |
| No log | 12.5 | 350 | 0.6608 | 0.5462 | 0.6608 | 0.8129 |
| No log | 12.5714 | 352 | 0.6373 | 0.5730 | 0.6373 | 0.7983 |
| No log | 12.6429 | 354 | 0.6346 | 0.6182 | 0.6346 | 0.7966 |
| No log | 12.7143 | 356 | 0.6136 | 0.6332 | 0.6136 | 0.7833 |
| No log | 12.7857 | 358 | 0.5953 | 0.6469 | 0.5953 | 0.7715 |
| No log | 12.8571 | 360 | 0.5648 | 0.6177 | 0.5648 | 0.7515 |
| No log | 12.9286 | 362 | 0.5649 | 0.5729 | 0.5649 | 0.7516 |
| No log | 13.0 | 364 | 0.5553 | 0.6029 | 0.5553 | 0.7452 |
| No log | 13.0714 | 366 | 0.5892 | 0.5363 | 0.5892 | 0.7676 |
| No log | 13.1429 | 368 | 0.5850 | 0.5824 | 0.5850 | 0.7649 |
| No log | 13.2143 | 370 | 0.5564 | 0.6523 | 0.5564 | 0.7459 |
| No log | 13.2857 | 372 | 0.5815 | 0.5793 | 0.5815 | 0.7626 |
| No log | 13.3571 | 374 | 0.6368 | 0.5745 | 0.6368 | 0.7980 |
| No log | 13.4286 | 376 | 0.6307 | 0.5724 | 0.6307 | 0.7942 |
| No log | 13.5 | 378 | 0.5904 | 0.5906 | 0.5904 | 0.7683 |
| No log | 13.5714 | 380 | 0.5792 | 0.6545 | 0.5792 | 0.7610 |
| No log | 13.6429 | 382 | 0.5664 | 0.5814 | 0.5664 | 0.7526 |
| No log | 13.7143 | 384 | 0.5459 | 0.6171 | 0.5459 | 0.7389 |
| No log | 13.7857 | 386 | 0.5466 | 0.5422 | 0.5466 | 0.7394 |
| No log | 13.8571 | 388 | 0.5464 | 0.5763 | 0.5464 | 0.7392 |
| No log | 13.9286 | 390 | 0.5683 | 0.5344 | 0.5683 | 0.7539 |
| No log | 14.0 | 392 | 0.6000 | 0.5308 | 0.6000 | 0.7746 |
| No log | 14.0714 | 394 | 0.6245 | 0.5975 | 0.6245 | 0.7903 |
| No log | 14.1429 | 396 | 0.6519 | 0.6241 | 0.6519 | 0.8074 |
| No log | 14.2143 | 398 | 0.6265 | 0.6444 | 0.6265 | 0.7915 |
| No log | 14.2857 | 400 | 0.6046 | 0.6168 | 0.6046 | 0.7776 |
| No log | 14.3571 | 402 | 0.5780 | 0.5708 | 0.5780 | 0.7602 |
| No log | 14.4286 | 404 | 0.5605 | 0.6070 | 0.5605 | 0.7486 |
| No log | 14.5 | 406 | 0.5408 | 0.5988 | 0.5408 | 0.7354 |
| No log | 14.5714 | 408 | 0.5342 | 0.6122 | 0.5342 | 0.7309 |
| No log | 14.6429 | 410 | 0.5365 | 0.5877 | 0.5365 | 0.7325 |
| No log | 14.7143 | 412 | 0.5850 | 0.5645 | 0.5850 | 0.7648 |
| No log | 14.7857 | 414 | 0.6336 | 0.5445 | 0.6336 | 0.7960 |
| No log | 14.8571 | 416 | 0.5967 | 0.5619 | 0.5967 | 0.7725 |
| No log | 14.9286 | 418 | 0.5478 | 0.5642 | 0.5478 | 0.7401 |
| No log | 15.0 | 420 | 0.5487 | 0.5721 | 0.5487 | 0.7407 |
| No log | 15.0714 | 422 | 0.5335 | 0.6333 | 0.5335 | 0.7304 |
| No log | 15.1429 | 424 | 0.5340 | 0.6153 | 0.5340 | 0.7307 |
| No log | 15.2143 | 426 | 0.5473 | 0.6071 | 0.5473 | 0.7398 |
| No log | 15.2857 | 428 | 0.5613 | 0.5743 | 0.5613 | 0.7492 |
| No log | 15.3571 | 430 | 0.5425 | 0.5841 | 0.5425 | 0.7366 |
| No log | 15.4286 | 432 | 0.5221 | 0.6480 | 0.5221 | 0.7226 |
| No log | 15.5 | 434 | 0.5223 | 0.6480 | 0.5223 | 0.7227 |
| No log | 15.5714 | 436 | 0.5338 | 0.5978 | 0.5338 | 0.7306 |
| No log | 15.6429 | 438 | 0.5898 | 0.5506 | 0.5898 | 0.7680 |
| No log | 15.7143 | 440 | 0.5980 | 0.5528 | 0.5980 | 0.7733 |
| No log | 15.7857 | 442 | 0.5731 | 0.5567 | 0.5731 | 0.7571 |
| No log | 15.8571 | 444 | 0.5515 | 0.6184 | 0.5515 | 0.7426 |
| No log | 15.9286 | 446 | 0.5422 | 0.6485 | 0.5422 | 0.7364 |
| No log | 16.0 | 448 | 0.5540 | 0.6446 | 0.5540 | 0.7443 |
| No log | 16.0714 | 450 | 0.5611 | 0.6502 | 0.5611 | 0.7491 |
| No log | 16.1429 | 452 | 0.5581 | 0.6256 | 0.5581 | 0.7470 |
| No log | 16.2143 | 454 | 0.5454 | 0.6409 | 0.5454 | 0.7385 |
| No log | 16.2857 | 456 | 0.5215 | 0.6566 | 0.5215 | 0.7222 |
| No log | 16.3571 | 458 | 0.5026 | 0.6702 | 0.5026 | 0.7089 |
| No log | 16.4286 | 460 | 0.4996 | 0.6683 | 0.4996 | 0.7068 |
| No log | 16.5 | 462 | 0.5299 | 0.6173 | 0.5299 | 0.7279 |
| No log | 16.5714 | 464 | 0.5469 | 0.5779 | 0.5469 | 0.7395 |
| No log | 16.6429 | 466 | 0.5291 | 0.6025 | 0.5291 | 0.7274 |
| No log | 16.7143 | 468 | 0.5430 | 0.5841 | 0.5430 | 0.7369 |
| No log | 16.7857 | 470 | 0.5869 | 0.5512 | 0.5869 | 0.7661 |
| No log | 16.8571 | 472 | 0.6283 | 0.4937 | 0.6283 | 0.7927 |
| No log | 16.9286 | 474 | 0.5889 | 0.5352 | 0.5889 | 0.7674 |
| No log | 17.0 | 476 | 0.5175 | 0.6263 | 0.5175 | 0.7194 |
| No log | 17.0714 | 478 | 0.4924 | 0.5903 | 0.4924 | 0.7017 |
| No log | 17.1429 | 480 | 0.4923 | 0.6081 | 0.4923 | 0.7016 |
| No log | 17.2143 | 482 | 0.4913 | 0.6588 | 0.4913 | 0.7009 |
| No log | 17.2857 | 484 | 0.4922 | 0.6410 | 0.4922 | 0.7015 |
| No log | 17.3571 | 486 | 0.4983 | 0.6026 | 0.4983 | 0.7059 |
| No log | 17.4286 | 488 | 0.4957 | 0.6610 | 0.4957 | 0.7041 |
| No log | 17.5 | 490 | 0.5000 | 0.6500 | 0.5000 | 0.7071 |
| No log | 17.5714 | 492 | 0.5136 | 0.6026 | 0.5136 | 0.7167 |
| No log | 17.6429 | 494 | 0.5395 | 0.5998 | 0.5395 | 0.7345 |
| No log | 17.7143 | 496 | 0.5320 | 0.5961 | 0.5320 | 0.7294 |
| No log | 17.7857 | 498 | 0.5112 | 0.6356 | 0.5112 | 0.7150 |
| 0.419 | 17.8571 | 500 | 0.5194 | 0.6356 | 0.5194 | 0.7207 |
| 0.419 | 17.9286 | 502 | 0.5159 | 0.6197 | 0.5159 | 0.7183 |
| 0.419 | 18.0 | 504 | 0.5085 | 0.6149 | 0.5085 | 0.7131 |
| 0.419 | 18.0714 | 506 | 0.5162 | 0.6747 | 0.5162 | 0.7185 |
| 0.419 | 18.1429 | 508 | 0.5298 | 0.6494 | 0.5298 | 0.7279 |
| 0.419 | 18.2143 | 510 | 0.5366 | 0.6446 | 0.5366 | 0.7325 |
| 0.419 | 18.2857 | 512 | 0.5354 | 0.6602 | 0.5354 | 0.7317 |
| 0.419 | 18.3571 | 514 | 0.5362 | 0.6499 | 0.5362 | 0.7323 |
| 0.419 | 18.4286 | 516 | 0.5321 | 0.6328 | 0.5321 | 0.7294 |
| 0.419 | 18.5 | 518 | 0.5387 | 0.6211 | 0.5387 | 0.7340 |
| 0.419 | 18.5714 | 520 | 0.5352 | 0.6116 | 0.5352 | 0.7316 |
| 0.419 | 18.6429 | 522 | 0.5216 | 0.6674 | 0.5216 | 0.7222 |
| 0.419 | 18.7143 | 524 | 0.5212 | 0.6251 | 0.5212 | 0.7220 |
| 0.419 | 18.7857 | 526 | 0.5109 | 0.6364 | 0.5109 | 0.7148 |
| 0.419 | 18.8571 | 528 | 0.5048 | 0.6261 | 0.5048 | 0.7105 |
| 0.419 | 18.9286 | 530 | 0.5107 | 0.6526 | 0.5107 | 0.7147 |
| 0.419 | 19.0 | 532 | 0.5525 | 0.5858 | 0.5525 | 0.7433 |
| 0.419 | 19.0714 | 534 | 0.5798 | 0.5538 | 0.5798 | 0.7615 |
| 0.419 | 19.1429 | 536 | 0.5798 | 0.5382 | 0.5798 | 0.7614 |
| 0.419 | 19.2143 | 538 | 0.5612 | 0.5941 | 0.5612 | 0.7491 |
| 0.419 | 19.2857 | 540 | 0.5386 | 0.6337 | 0.5386 | 0.7339 |
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_run1_AugV5_k5_task2_organization
Base model
aubmindlab/bert-base-arabertv02