Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k4_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k4_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k4_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k4_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k4_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k4_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: 0.6735
- Qwk: 0.5577
- Mse: 0.6735
- Rmse: 0.8207
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: 16
- eval_batch_size: 16
- 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 | 0.1667 | 2 | 6.4020 | -0.0278 | 6.4020 | 2.5302 |
| No log | 0.3333 | 4 | 4.2829 | -0.0284 | 4.2829 | 2.0695 |
| No log | 0.5 | 6 | 2.9516 | 0.0047 | 2.9516 | 1.7180 |
| No log | 0.6667 | 8 | 2.0860 | 0.0084 | 2.0860 | 1.4443 |
| No log | 0.8333 | 10 | 1.4756 | -0.0227 | 1.4756 | 1.2148 |
| No log | 1.0 | 12 | 1.0913 | 0.0128 | 1.0913 | 1.0446 |
| No log | 1.1667 | 14 | 0.9951 | -0.0136 | 0.9951 | 0.9975 |
| No log | 1.3333 | 16 | 0.9209 | 0.0466 | 0.9209 | 0.9596 |
| No log | 1.5 | 18 | 0.8336 | 0.0873 | 0.8336 | 0.9130 |
| No log | 1.6667 | 20 | 0.7412 | 0.1919 | 0.7412 | 0.8609 |
| No log | 1.8333 | 22 | 0.7366 | 0.1631 | 0.7366 | 0.8582 |
| No log | 2.0 | 24 | 0.6775 | 0.3824 | 0.6775 | 0.8231 |
| No log | 2.1667 | 26 | 0.6421 | 0.3575 | 0.6421 | 0.8013 |
| No log | 2.3333 | 28 | 0.6633 | 0.3211 | 0.6633 | 0.8144 |
| No log | 2.5 | 30 | 0.6799 | 0.2456 | 0.6799 | 0.8246 |
| No log | 2.6667 | 32 | 0.6636 | 0.4111 | 0.6636 | 0.8146 |
| No log | 2.8333 | 34 | 0.6411 | 0.4079 | 0.6411 | 0.8007 |
| No log | 3.0 | 36 | 0.6251 | 0.3837 | 0.6251 | 0.7906 |
| No log | 3.1667 | 38 | 0.6159 | 0.4046 | 0.6159 | 0.7848 |
| No log | 3.3333 | 40 | 0.6018 | 0.3646 | 0.6018 | 0.7758 |
| No log | 3.5 | 42 | 0.5961 | 0.3646 | 0.5961 | 0.7721 |
| No log | 3.6667 | 44 | 0.5998 | 0.3892 | 0.5998 | 0.7745 |
| No log | 3.8333 | 46 | 0.6227 | 0.3857 | 0.6227 | 0.7891 |
| No log | 4.0 | 48 | 0.6621 | 0.3643 | 0.6621 | 0.8137 |
| No log | 4.1667 | 50 | 0.7007 | 0.3637 | 0.7007 | 0.8371 |
| No log | 4.3333 | 52 | 0.6997 | 0.3515 | 0.6997 | 0.8365 |
| No log | 4.5 | 54 | 0.6629 | 0.3471 | 0.6629 | 0.8142 |
| No log | 4.6667 | 56 | 0.6446 | 0.3664 | 0.6446 | 0.8029 |
| No log | 4.8333 | 58 | 0.6321 | 0.3276 | 0.6321 | 0.7950 |
| No log | 5.0 | 60 | 0.6231 | 0.3639 | 0.6231 | 0.7894 |
| No log | 5.1667 | 62 | 0.5836 | 0.4144 | 0.5836 | 0.7639 |
| No log | 5.3333 | 64 | 0.5571 | 0.4260 | 0.5571 | 0.7464 |
| No log | 5.5 | 66 | 0.5556 | 0.4942 | 0.5556 | 0.7454 |
| No log | 5.6667 | 68 | 0.5794 | 0.5082 | 0.5794 | 0.7612 |
| No log | 5.8333 | 70 | 0.5838 | 0.4840 | 0.5838 | 0.7641 |
| No log | 6.0 | 72 | 0.5550 | 0.4817 | 0.5550 | 0.7450 |
| No log | 6.1667 | 74 | 0.5365 | 0.4285 | 0.5365 | 0.7325 |
| No log | 6.3333 | 76 | 0.5481 | 0.4224 | 0.5481 | 0.7404 |
| No log | 6.5 | 78 | 0.5517 | 0.4022 | 0.5517 | 0.7428 |
| No log | 6.6667 | 80 | 0.5474 | 0.3905 | 0.5474 | 0.7398 |
| No log | 6.8333 | 82 | 0.5341 | 0.4018 | 0.5341 | 0.7309 |
| No log | 7.0 | 84 | 0.5262 | 0.4312 | 0.5262 | 0.7254 |
| No log | 7.1667 | 86 | 0.5455 | 0.4992 | 0.5455 | 0.7386 |
| No log | 7.3333 | 88 | 0.5776 | 0.5184 | 0.5776 | 0.7600 |
| No log | 7.5 | 90 | 0.5862 | 0.5205 | 0.5862 | 0.7657 |
| No log | 7.6667 | 92 | 0.5579 | 0.5205 | 0.5579 | 0.7469 |
| No log | 7.8333 | 94 | 0.5279 | 0.5082 | 0.5279 | 0.7266 |
| No log | 8.0 | 96 | 0.5238 | 0.5082 | 0.5238 | 0.7237 |
| No log | 8.1667 | 98 | 0.5324 | 0.4992 | 0.5324 | 0.7296 |
| No log | 8.3333 | 100 | 0.5536 | 0.5361 | 0.5536 | 0.7440 |
| No log | 8.5 | 102 | 0.5660 | 0.5270 | 0.5660 | 0.7523 |
| No log | 8.6667 | 104 | 0.5510 | 0.5264 | 0.5510 | 0.7423 |
| No log | 8.8333 | 106 | 0.5451 | 0.5485 | 0.5451 | 0.7383 |
| No log | 9.0 | 108 | 0.5298 | 0.5124 | 0.5298 | 0.7279 |
| No log | 9.1667 | 110 | 0.5326 | 0.5370 | 0.5326 | 0.7298 |
| No log | 9.3333 | 112 | 0.5431 | 0.5205 | 0.5431 | 0.7369 |
| No log | 9.5 | 114 | 0.5532 | 0.5070 | 0.5532 | 0.7437 |
| No log | 9.6667 | 116 | 0.5531 | 0.5272 | 0.5531 | 0.7437 |
| No log | 9.8333 | 118 | 0.5290 | 0.5537 | 0.5290 | 0.7273 |
| No log | 10.0 | 120 | 0.5081 | 0.4832 | 0.5081 | 0.7128 |
| No log | 10.1667 | 122 | 0.5097 | 0.4745 | 0.5097 | 0.7140 |
| No log | 10.3333 | 124 | 0.5175 | 0.5044 | 0.5175 | 0.7193 |
| No log | 10.5 | 126 | 0.5162 | 0.5271 | 0.5162 | 0.7185 |
| No log | 10.6667 | 128 | 0.5116 | 0.5259 | 0.5116 | 0.7153 |
| No log | 10.8333 | 130 | 0.5166 | 0.5351 | 0.5166 | 0.7188 |
| No log | 11.0 | 132 | 0.5267 | 0.5656 | 0.5267 | 0.7258 |
| No log | 11.1667 | 134 | 0.5392 | 0.5806 | 0.5392 | 0.7343 |
| No log | 11.3333 | 136 | 0.5421 | 0.5822 | 0.5421 | 0.7363 |
| No log | 11.5 | 138 | 0.5370 | 0.5718 | 0.5370 | 0.7328 |
| No log | 11.6667 | 140 | 0.5332 | 0.5721 | 0.5332 | 0.7302 |
| No log | 11.8333 | 142 | 0.5367 | 0.6034 | 0.5367 | 0.7326 |
| No log | 12.0 | 144 | 0.5408 | 0.5635 | 0.5408 | 0.7354 |
| No log | 12.1667 | 146 | 0.5496 | 0.5433 | 0.5496 | 0.7414 |
| No log | 12.3333 | 148 | 0.5680 | 0.5138 | 0.5680 | 0.7537 |
| No log | 12.5 | 150 | 0.5808 | 0.4843 | 0.5808 | 0.7621 |
| No log | 12.6667 | 152 | 0.6015 | 0.5194 | 0.6015 | 0.7755 |
| No log | 12.8333 | 154 | 0.6067 | 0.5251 | 0.6067 | 0.7789 |
| No log | 13.0 | 156 | 0.5944 | 0.5598 | 0.5944 | 0.7709 |
| No log | 13.1667 | 158 | 0.5784 | 0.5647 | 0.5784 | 0.7605 |
| No log | 13.3333 | 160 | 0.5717 | 0.5506 | 0.5717 | 0.7561 |
| No log | 13.5 | 162 | 0.5676 | 0.5486 | 0.5676 | 0.7534 |
| No log | 13.6667 | 164 | 0.5811 | 0.5194 | 0.5811 | 0.7623 |
| No log | 13.8333 | 166 | 0.6025 | 0.5455 | 0.6025 | 0.7762 |
| No log | 14.0 | 168 | 0.6045 | 0.5085 | 0.6045 | 0.7775 |
| No log | 14.1667 | 170 | 0.6075 | 0.5357 | 0.6075 | 0.7794 |
| No log | 14.3333 | 172 | 0.6091 | 0.5688 | 0.6091 | 0.7804 |
| No log | 14.5 | 174 | 0.5975 | 0.5709 | 0.5975 | 0.7730 |
| No log | 14.6667 | 176 | 0.5851 | 0.5278 | 0.5851 | 0.7649 |
| No log | 14.8333 | 178 | 0.5931 | 0.5215 | 0.5931 | 0.7701 |
| No log | 15.0 | 180 | 0.6001 | 0.4892 | 0.6001 | 0.7747 |
| No log | 15.1667 | 182 | 0.6177 | 0.5047 | 0.6177 | 0.7859 |
| No log | 15.3333 | 184 | 0.6443 | 0.5208 | 0.6443 | 0.8027 |
| No log | 15.5 | 186 | 0.6426 | 0.5282 | 0.6426 | 0.8016 |
| No log | 15.6667 | 188 | 0.6388 | 0.5522 | 0.6388 | 0.7993 |
| No log | 15.8333 | 190 | 0.6480 | 0.5483 | 0.6480 | 0.8050 |
| No log | 16.0 | 192 | 0.6400 | 0.5709 | 0.6400 | 0.8000 |
| No log | 16.1667 | 194 | 0.6306 | 0.5156 | 0.6306 | 0.7941 |
| No log | 16.3333 | 196 | 0.6268 | 0.5137 | 0.6268 | 0.7917 |
| No log | 16.5 | 198 | 0.6230 | 0.5097 | 0.6230 | 0.7893 |
| No log | 16.6667 | 200 | 0.6247 | 0.5328 | 0.6247 | 0.7904 |
| No log | 16.8333 | 202 | 0.6368 | 0.5324 | 0.6368 | 0.7980 |
| No log | 17.0 | 204 | 0.6451 | 0.5380 | 0.6451 | 0.8032 |
| No log | 17.1667 | 206 | 0.6467 | 0.5617 | 0.6467 | 0.8042 |
| No log | 17.3333 | 208 | 0.6468 | 0.5493 | 0.6468 | 0.8043 |
| No log | 17.5 | 210 | 0.6552 | 0.5534 | 0.6552 | 0.8095 |
| No log | 17.6667 | 212 | 0.6599 | 0.5752 | 0.6599 | 0.8123 |
| No log | 17.8333 | 214 | 0.6572 | 0.5392 | 0.6572 | 0.8107 |
| No log | 18.0 | 216 | 0.6718 | 0.5783 | 0.6718 | 0.8196 |
| No log | 18.1667 | 218 | 0.6751 | 0.5586 | 0.6751 | 0.8217 |
| No log | 18.3333 | 220 | 0.6648 | 0.5561 | 0.6648 | 0.8153 |
| No log | 18.5 | 222 | 0.6654 | 0.5729 | 0.6654 | 0.8157 |
| No log | 18.6667 | 224 | 0.6751 | 0.5862 | 0.6751 | 0.8216 |
| No log | 18.8333 | 226 | 0.6740 | 0.5738 | 0.6740 | 0.8210 |
| No log | 19.0 | 228 | 0.6839 | 0.5630 | 0.6839 | 0.8270 |
| No log | 19.1667 | 230 | 0.7130 | 0.5750 | 0.7130 | 0.8444 |
| No log | 19.3333 | 232 | 0.7293 | 0.5263 | 0.7293 | 0.8540 |
| No log | 19.5 | 234 | 0.7084 | 0.5102 | 0.7084 | 0.8417 |
| No log | 19.6667 | 236 | 0.6922 | 0.5188 | 0.6922 | 0.8320 |
| No log | 19.8333 | 238 | 0.6843 | 0.5238 | 0.6843 | 0.8272 |
| No log | 20.0 | 240 | 0.6818 | 0.5628 | 0.6818 | 0.8257 |
| No log | 20.1667 | 242 | 0.6607 | 0.5321 | 0.6607 | 0.8128 |
| No log | 20.3333 | 244 | 0.6538 | 0.5374 | 0.6538 | 0.8086 |
| No log | 20.5 | 246 | 0.6655 | 0.5273 | 0.6655 | 0.8158 |
| No log | 20.6667 | 248 | 0.6789 | 0.5224 | 0.6789 | 0.8239 |
| No log | 20.8333 | 250 | 0.6713 | 0.5279 | 0.6713 | 0.8193 |
| No log | 21.0 | 252 | 0.6645 | 0.5310 | 0.6645 | 0.8152 |
| No log | 21.1667 | 254 | 0.6596 | 0.5150 | 0.6596 | 0.8121 |
| No log | 21.3333 | 256 | 0.6529 | 0.5603 | 0.6529 | 0.8080 |
| No log | 21.5 | 258 | 0.6525 | 0.5493 | 0.6525 | 0.8077 |
| No log | 21.6667 | 260 | 0.6515 | 0.5928 | 0.6515 | 0.8072 |
| No log | 21.8333 | 262 | 0.6559 | 0.6108 | 0.6559 | 0.8099 |
| No log | 22.0 | 264 | 0.6606 | 0.5840 | 0.6606 | 0.8128 |
| No log | 22.1667 | 266 | 0.6681 | 0.5452 | 0.6681 | 0.8174 |
| No log | 22.3333 | 268 | 0.6632 | 0.5423 | 0.6632 | 0.8144 |
| No log | 22.5 | 270 | 0.6635 | 0.5395 | 0.6635 | 0.8146 |
| No log | 22.6667 | 272 | 0.6688 | 0.5762 | 0.6688 | 0.8178 |
| No log | 22.8333 | 274 | 0.6696 | 0.5719 | 0.6696 | 0.8183 |
| No log | 23.0 | 276 | 0.6764 | 0.5886 | 0.6764 | 0.8224 |
| No log | 23.1667 | 278 | 0.6722 | 0.5790 | 0.6722 | 0.8199 |
| No log | 23.3333 | 280 | 0.6715 | 0.5663 | 0.6715 | 0.8194 |
| No log | 23.5 | 282 | 0.6767 | 0.5520 | 0.6767 | 0.8226 |
| No log | 23.6667 | 284 | 0.6884 | 0.5424 | 0.6884 | 0.8297 |
| No log | 23.8333 | 286 | 0.6993 | 0.5615 | 0.6993 | 0.8363 |
| No log | 24.0 | 288 | 0.6914 | 0.5659 | 0.6914 | 0.8315 |
| No log | 24.1667 | 290 | 0.6920 | 0.5589 | 0.6920 | 0.8319 |
| No log | 24.3333 | 292 | 0.6886 | 0.5437 | 0.6886 | 0.8298 |
| No log | 24.5 | 294 | 0.6980 | 0.5412 | 0.6980 | 0.8355 |
| No log | 24.6667 | 296 | 0.6884 | 0.5589 | 0.6884 | 0.8297 |
| No log | 24.8333 | 298 | 0.6764 | 0.5840 | 0.6764 | 0.8224 |
| No log | 25.0 | 300 | 0.6660 | 0.5806 | 0.6660 | 0.8161 |
| No log | 25.1667 | 302 | 0.6498 | 0.5731 | 0.6498 | 0.8061 |
| No log | 25.3333 | 304 | 0.6536 | 0.5450 | 0.6536 | 0.8085 |
| No log | 25.5 | 306 | 0.6743 | 0.5295 | 0.6743 | 0.8212 |
| No log | 25.6667 | 308 | 0.7006 | 0.5112 | 0.7006 | 0.8370 |
| No log | 25.8333 | 310 | 0.6983 | 0.5631 | 0.6983 | 0.8357 |
| No log | 26.0 | 312 | 0.6808 | 0.5592 | 0.6808 | 0.8251 |
| No log | 26.1667 | 314 | 0.6793 | 0.5855 | 0.6793 | 0.8242 |
| No log | 26.3333 | 316 | 0.6797 | 0.5707 | 0.6797 | 0.8245 |
| No log | 26.5 | 318 | 0.6852 | 0.5634 | 0.6852 | 0.8277 |
| No log | 26.6667 | 320 | 0.6902 | 0.5461 | 0.6902 | 0.8308 |
| No log | 26.8333 | 322 | 0.7031 | 0.5353 | 0.7031 | 0.8385 |
| No log | 27.0 | 324 | 0.7029 | 0.5353 | 0.7029 | 0.8384 |
| No log | 27.1667 | 326 | 0.6924 | 0.5504 | 0.6924 | 0.8321 |
| No log | 27.3333 | 328 | 0.6899 | 0.5646 | 0.6899 | 0.8306 |
| No log | 27.5 | 330 | 0.6922 | 0.5390 | 0.6922 | 0.8320 |
| No log | 27.6667 | 332 | 0.6802 | 0.5532 | 0.6802 | 0.8248 |
| No log | 27.8333 | 334 | 0.6660 | 0.5717 | 0.6660 | 0.8161 |
| No log | 28.0 | 336 | 0.6680 | 0.5759 | 0.6680 | 0.8173 |
| No log | 28.1667 | 338 | 0.6739 | 0.5866 | 0.6739 | 0.8209 |
| No log | 28.3333 | 340 | 0.6591 | 0.5784 | 0.6591 | 0.8118 |
| No log | 28.5 | 342 | 0.6539 | 0.5560 | 0.6539 | 0.8087 |
| No log | 28.6667 | 344 | 0.6588 | 0.5346 | 0.6588 | 0.8116 |
| No log | 28.8333 | 346 | 0.6592 | 0.5418 | 0.6592 | 0.8119 |
| No log | 29.0 | 348 | 0.6500 | 0.5546 | 0.6500 | 0.8062 |
| No log | 29.1667 | 350 | 0.6490 | 0.5670 | 0.6490 | 0.8056 |
| No log | 29.3333 | 352 | 0.6540 | 0.5670 | 0.6540 | 0.8087 |
| No log | 29.5 | 354 | 0.6653 | 0.5531 | 0.6653 | 0.8156 |
| No log | 29.6667 | 356 | 0.6739 | 0.5601 | 0.6739 | 0.8209 |
| No log | 29.8333 | 358 | 0.6720 | 0.5601 | 0.6720 | 0.8198 |
| No log | 30.0 | 360 | 0.6689 | 0.5532 | 0.6689 | 0.8179 |
| No log | 30.1667 | 362 | 0.6694 | 0.5422 | 0.6694 | 0.8182 |
| No log | 30.3333 | 364 | 0.6711 | 0.5670 | 0.6711 | 0.8192 |
| No log | 30.5 | 366 | 0.6792 | 0.5754 | 0.6792 | 0.8241 |
| No log | 30.6667 | 368 | 0.6936 | 0.5842 | 0.6936 | 0.8328 |
| No log | 30.8333 | 370 | 0.6990 | 0.5887 | 0.6990 | 0.8361 |
| No log | 31.0 | 372 | 0.6937 | 0.5822 | 0.6937 | 0.8329 |
| No log | 31.1667 | 374 | 0.6920 | 0.5851 | 0.6920 | 0.8319 |
| No log | 31.3333 | 376 | 0.7049 | 0.5475 | 0.7049 | 0.8396 |
| No log | 31.5 | 378 | 0.7058 | 0.5311 | 0.7058 | 0.8401 |
| No log | 31.6667 | 380 | 0.6868 | 0.5153 | 0.6868 | 0.8287 |
| No log | 31.8333 | 382 | 0.6704 | 0.4989 | 0.6704 | 0.8188 |
| No log | 32.0 | 384 | 0.6748 | 0.5124 | 0.6748 | 0.8215 |
| No log | 32.1667 | 386 | 0.6833 | 0.5810 | 0.6833 | 0.8266 |
| No log | 32.3333 | 388 | 0.6965 | 0.5884 | 0.6965 | 0.8346 |
| No log | 32.5 | 390 | 0.7200 | 0.5703 | 0.7200 | 0.8485 |
| No log | 32.6667 | 392 | 0.7552 | 0.5231 | 0.7552 | 0.8690 |
| No log | 32.8333 | 394 | 0.7791 | 0.5265 | 0.7791 | 0.8827 |
| No log | 33.0 | 396 | 0.7843 | 0.5281 | 0.7843 | 0.8856 |
| No log | 33.1667 | 398 | 0.7769 | 0.5354 | 0.7769 | 0.8814 |
| No log | 33.3333 | 400 | 0.7491 | 0.5517 | 0.7491 | 0.8655 |
| No log | 33.5 | 402 | 0.7436 | 0.5655 | 0.7436 | 0.8623 |
| No log | 33.6667 | 404 | 0.7468 | 0.5586 | 0.7468 | 0.8642 |
| No log | 33.8333 | 406 | 0.7568 | 0.5226 | 0.7568 | 0.8699 |
| No log | 34.0 | 408 | 0.7676 | 0.5272 | 0.7676 | 0.8761 |
| No log | 34.1667 | 410 | 0.7759 | 0.5016 | 0.7759 | 0.8809 |
| No log | 34.3333 | 412 | 0.7570 | 0.5311 | 0.7570 | 0.8700 |
| No log | 34.5 | 414 | 0.7284 | 0.5435 | 0.7284 | 0.8534 |
| No log | 34.6667 | 416 | 0.7108 | 0.5615 | 0.7108 | 0.8431 |
| No log | 34.8333 | 418 | 0.7017 | 0.5159 | 0.7017 | 0.8377 |
| No log | 35.0 | 420 | 0.6961 | 0.5229 | 0.6961 | 0.8343 |
| No log | 35.1667 | 422 | 0.7073 | 0.5475 | 0.7073 | 0.8410 |
| No log | 35.3333 | 424 | 0.7223 | 0.5403 | 0.7223 | 0.8499 |
| No log | 35.5 | 426 | 0.7103 | 0.5632 | 0.7103 | 0.8428 |
| No log | 35.6667 | 428 | 0.6965 | 0.5532 | 0.6965 | 0.8346 |
| No log | 35.8333 | 430 | 0.6900 | 0.5604 | 0.6900 | 0.8307 |
| No log | 36.0 | 432 | 0.6914 | 0.5547 | 0.6914 | 0.8315 |
| No log | 36.1667 | 434 | 0.7085 | 0.5334 | 0.7085 | 0.8417 |
| No log | 36.3333 | 436 | 0.7216 | 0.5211 | 0.7216 | 0.8495 |
| No log | 36.5 | 438 | 0.7194 | 0.5265 | 0.7194 | 0.8481 |
| No log | 36.6667 | 440 | 0.7082 | 0.5236 | 0.7082 | 0.8416 |
| No log | 36.8333 | 442 | 0.6961 | 0.5688 | 0.6961 | 0.8343 |
| No log | 37.0 | 444 | 0.6775 | 0.5691 | 0.6775 | 0.8231 |
| No log | 37.1667 | 446 | 0.6782 | 0.5702 | 0.6782 | 0.8235 |
| No log | 37.3333 | 448 | 0.6859 | 0.5809 | 0.6859 | 0.8282 |
| No log | 37.5 | 450 | 0.7001 | 0.5463 | 0.7001 | 0.8367 |
| No log | 37.6667 | 452 | 0.7065 | 0.5534 | 0.7065 | 0.8405 |
| No log | 37.8333 | 454 | 0.7039 | 0.5618 | 0.7039 | 0.8390 |
| No log | 38.0 | 456 | 0.7102 | 0.5463 | 0.7102 | 0.8427 |
| No log | 38.1667 | 458 | 0.7254 | 0.5601 | 0.7254 | 0.8517 |
| No log | 38.3333 | 460 | 0.7469 | 0.5201 | 0.7469 | 0.8642 |
| No log | 38.5 | 462 | 0.7515 | 0.5185 | 0.7515 | 0.8669 |
| No log | 38.6667 | 464 | 0.7330 | 0.5405 | 0.7330 | 0.8561 |
| No log | 38.8333 | 466 | 0.7201 | 0.5560 | 0.7201 | 0.8486 |
| No log | 39.0 | 468 | 0.7127 | 0.5603 | 0.7127 | 0.8442 |
| No log | 39.1667 | 470 | 0.7116 | 0.5659 | 0.7116 | 0.8436 |
| No log | 39.3333 | 472 | 0.7169 | 0.5517 | 0.7169 | 0.8467 |
| No log | 39.5 | 474 | 0.7158 | 0.5431 | 0.7158 | 0.8461 |
| No log | 39.6667 | 476 | 0.7276 | 0.5544 | 0.7276 | 0.8530 |
| No log | 39.8333 | 478 | 0.7108 | 0.5559 | 0.7108 | 0.8431 |
| No log | 40.0 | 480 | 0.6869 | 0.5589 | 0.6869 | 0.8288 |
| No log | 40.1667 | 482 | 0.6792 | 0.5562 | 0.6792 | 0.8241 |
| No log | 40.3333 | 484 | 0.6822 | 0.5604 | 0.6822 | 0.8259 |
| No log | 40.5 | 486 | 0.6908 | 0.5517 | 0.6908 | 0.8312 |
| No log | 40.6667 | 488 | 0.6922 | 0.5663 | 0.6922 | 0.8320 |
| No log | 40.8333 | 490 | 0.6867 | 0.5675 | 0.6867 | 0.8287 |
| No log | 41.0 | 492 | 0.6847 | 0.5675 | 0.6847 | 0.8274 |
| No log | 41.1667 | 494 | 0.6826 | 0.5532 | 0.6826 | 0.8262 |
| No log | 41.3333 | 496 | 0.6892 | 0.5559 | 0.6892 | 0.8302 |
| No log | 41.5 | 498 | 0.6963 | 0.5408 | 0.6963 | 0.8344 |
| 0.566 | 41.6667 | 500 | 0.6889 | 0.5693 | 0.6889 | 0.8300 |
| 0.566 | 41.8333 | 502 | 0.6866 | 0.5559 | 0.6866 | 0.8286 |
| 0.566 | 42.0 | 504 | 0.6735 | 0.5531 | 0.6735 | 0.8207 |
| 0.566 | 42.1667 | 506 | 0.6671 | 0.5488 | 0.6671 | 0.8168 |
| 0.566 | 42.3333 | 508 | 0.6747 | 0.5411 | 0.6747 | 0.8214 |
| 0.566 | 42.5 | 510 | 0.6735 | 0.5577 | 0.6735 | 0.8207 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k4_task2_organization
Base model
aubmindlab/bert-base-arabertv02