Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k6_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_k6_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_k6_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k6_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k6_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k6_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: 0.6901
- Qwk: 0.5255
- Mse: 0.6901
- Rmse: 0.8307
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 | 0.125 | 2 | 6.3156 | -0.0169 | 6.3156 | 2.5131 |
| No log | 0.25 | 4 | 4.2756 | -0.0288 | 4.2756 | 2.0678 |
| No log | 0.375 | 6 | 3.1662 | -0.0070 | 3.1662 | 1.7794 |
| No log | 0.5 | 8 | 2.3416 | 0.0193 | 2.3416 | 1.5302 |
| No log | 0.625 | 10 | 1.7284 | 0.0263 | 1.7284 | 1.3147 |
| No log | 0.75 | 12 | 1.3072 | 0.0046 | 1.3072 | 1.1433 |
| No log | 0.875 | 14 | 1.1099 | 0.0119 | 1.1099 | 1.0535 |
| No log | 1.0 | 16 | 0.9063 | 0.1169 | 0.9063 | 0.9520 |
| No log | 1.125 | 18 | 0.7398 | 0.0883 | 0.7398 | 0.8601 |
| No log | 1.25 | 20 | 0.6908 | 0.2375 | 0.6908 | 0.8312 |
| No log | 1.375 | 22 | 0.6998 | 0.2048 | 0.6998 | 0.8366 |
| No log | 1.5 | 24 | 0.7257 | 0.1306 | 0.7257 | 0.8519 |
| No log | 1.625 | 26 | 0.8001 | 0.1449 | 0.8001 | 0.8945 |
| No log | 1.75 | 28 | 0.9208 | 0.0936 | 0.9208 | 0.9596 |
| No log | 1.875 | 30 | 1.0053 | 0.0364 | 1.0053 | 1.0026 |
| No log | 2.0 | 32 | 0.9970 | 0.0683 | 0.9970 | 0.9985 |
| No log | 2.125 | 34 | 0.9094 | 0.2178 | 0.9094 | 0.9536 |
| No log | 2.25 | 36 | 0.7967 | 0.2101 | 0.7967 | 0.8926 |
| No log | 2.375 | 38 | 0.7103 | 0.1908 | 0.7103 | 0.8428 |
| No log | 2.5 | 40 | 0.6593 | 0.3149 | 0.6593 | 0.8119 |
| No log | 2.625 | 42 | 0.6520 | 0.3392 | 0.6520 | 0.8075 |
| No log | 2.75 | 44 | 0.6473 | 0.3230 | 0.6472 | 0.8045 |
| No log | 2.875 | 46 | 0.6408 | 0.3114 | 0.6408 | 0.8005 |
| No log | 3.0 | 48 | 0.6589 | 0.2752 | 0.6589 | 0.8117 |
| No log | 3.125 | 50 | 0.7143 | 0.2830 | 0.7143 | 0.8451 |
| No log | 3.25 | 52 | 0.7476 | 0.2681 | 0.7476 | 0.8646 |
| No log | 3.375 | 54 | 0.7801 | 0.2667 | 0.7801 | 0.8832 |
| No log | 3.5 | 56 | 0.7606 | 0.2169 | 0.7606 | 0.8721 |
| No log | 3.625 | 58 | 0.7356 | 0.2425 | 0.7356 | 0.8577 |
| No log | 3.75 | 60 | 0.7126 | 0.3014 | 0.7126 | 0.8441 |
| No log | 3.875 | 62 | 0.7138 | 0.2572 | 0.7138 | 0.8449 |
| No log | 4.0 | 64 | 0.6941 | 0.2830 | 0.6941 | 0.8331 |
| No log | 4.125 | 66 | 0.6365 | 0.3736 | 0.6365 | 0.7978 |
| No log | 4.25 | 68 | 0.6004 | 0.4349 | 0.6004 | 0.7749 |
| No log | 4.375 | 70 | 0.5820 | 0.4346 | 0.5820 | 0.7629 |
| No log | 4.5 | 72 | 0.6297 | 0.4346 | 0.6297 | 0.7935 |
| No log | 4.625 | 74 | 0.6941 | 0.3839 | 0.6941 | 0.8331 |
| No log | 4.75 | 76 | 0.6611 | 0.4123 | 0.6611 | 0.8131 |
| No log | 4.875 | 78 | 0.5996 | 0.4510 | 0.5996 | 0.7744 |
| No log | 5.0 | 80 | 0.6556 | 0.3218 | 0.6556 | 0.8097 |
| No log | 5.125 | 82 | 0.8232 | 0.2452 | 0.8232 | 0.9073 |
| No log | 5.25 | 84 | 0.8898 | 0.2443 | 0.8898 | 0.9433 |
| No log | 5.375 | 86 | 0.7865 | 0.2773 | 0.7865 | 0.8869 |
| No log | 5.5 | 88 | 0.6095 | 0.3984 | 0.6095 | 0.7807 |
| No log | 5.625 | 90 | 0.5311 | 0.4519 | 0.5311 | 0.7288 |
| No log | 5.75 | 92 | 0.5304 | 0.4510 | 0.5304 | 0.7283 |
| No log | 5.875 | 94 | 0.5609 | 0.4236 | 0.5609 | 0.7489 |
| No log | 6.0 | 96 | 0.6415 | 0.4295 | 0.6415 | 0.8009 |
| No log | 6.125 | 98 | 0.7412 | 0.3666 | 0.7412 | 0.8610 |
| No log | 6.25 | 100 | 0.7311 | 0.3727 | 0.7311 | 0.8550 |
| No log | 6.375 | 102 | 0.7009 | 0.4250 | 0.7009 | 0.8372 |
| No log | 6.5 | 104 | 0.6380 | 0.4761 | 0.6380 | 0.7987 |
| No log | 6.625 | 106 | 0.5759 | 0.4756 | 0.5759 | 0.7589 |
| No log | 6.75 | 108 | 0.5177 | 0.4681 | 0.5177 | 0.7195 |
| No log | 6.875 | 110 | 0.4995 | 0.4895 | 0.4995 | 0.7068 |
| No log | 7.0 | 112 | 0.4953 | 0.5039 | 0.4953 | 0.7038 |
| No log | 7.125 | 114 | 0.5081 | 0.4789 | 0.5081 | 0.7128 |
| No log | 7.25 | 116 | 0.5423 | 0.5093 | 0.5423 | 0.7364 |
| No log | 7.375 | 118 | 0.6084 | 0.4817 | 0.6084 | 0.7800 |
| No log | 7.5 | 120 | 0.6857 | 0.4789 | 0.6857 | 0.8280 |
| No log | 7.625 | 122 | 0.6730 | 0.4541 | 0.6730 | 0.8204 |
| No log | 7.75 | 124 | 0.5946 | 0.5123 | 0.5946 | 0.7711 |
| No log | 7.875 | 126 | 0.5598 | 0.4849 | 0.5598 | 0.7482 |
| No log | 8.0 | 128 | 0.5688 | 0.4560 | 0.5688 | 0.7542 |
| No log | 8.125 | 130 | 0.5786 | 0.4647 | 0.5786 | 0.7607 |
| No log | 8.25 | 132 | 0.6110 | 0.3754 | 0.6110 | 0.7817 |
| No log | 8.375 | 134 | 0.5705 | 0.4777 | 0.5705 | 0.7553 |
| No log | 8.5 | 136 | 0.5389 | 0.4502 | 0.5389 | 0.7341 |
| No log | 8.625 | 138 | 0.5185 | 0.4536 | 0.5185 | 0.7201 |
| No log | 8.75 | 140 | 0.5181 | 0.5350 | 0.5181 | 0.7198 |
| No log | 8.875 | 142 | 0.5431 | 0.4739 | 0.5431 | 0.7369 |
| No log | 9.0 | 144 | 0.5782 | 0.5437 | 0.5782 | 0.7604 |
| No log | 9.125 | 146 | 0.6210 | 0.5306 | 0.6210 | 0.7880 |
| No log | 9.25 | 148 | 0.6011 | 0.5373 | 0.6011 | 0.7753 |
| No log | 9.375 | 150 | 0.5572 | 0.5 | 0.5572 | 0.7464 |
| No log | 9.5 | 152 | 0.5399 | 0.5051 | 0.5399 | 0.7348 |
| No log | 9.625 | 154 | 0.5402 | 0.5078 | 0.5402 | 0.7350 |
| No log | 9.75 | 156 | 0.5425 | 0.5078 | 0.5425 | 0.7366 |
| No log | 9.875 | 158 | 0.5428 | 0.5208 | 0.5428 | 0.7368 |
| No log | 10.0 | 160 | 0.5446 | 0.5274 | 0.5446 | 0.7380 |
| No log | 10.125 | 162 | 0.5452 | 0.5121 | 0.5452 | 0.7384 |
| No log | 10.25 | 164 | 0.5469 | 0.4993 | 0.5469 | 0.7395 |
| No log | 10.375 | 166 | 0.5498 | 0.5232 | 0.5498 | 0.7415 |
| No log | 10.5 | 168 | 0.5499 | 0.5498 | 0.5499 | 0.7415 |
| No log | 10.625 | 170 | 0.5641 | 0.5007 | 0.5641 | 0.7510 |
| No log | 10.75 | 172 | 0.5761 | 0.5085 | 0.5761 | 0.7590 |
| No log | 10.875 | 174 | 0.5604 | 0.4929 | 0.5604 | 0.7486 |
| No log | 11.0 | 176 | 0.5500 | 0.5304 | 0.5500 | 0.7416 |
| No log | 11.125 | 178 | 0.5622 | 0.5073 | 0.5622 | 0.7498 |
| No log | 11.25 | 180 | 0.5741 | 0.5010 | 0.5741 | 0.7577 |
| No log | 11.375 | 182 | 0.5731 | 0.5292 | 0.5731 | 0.7570 |
| No log | 11.5 | 184 | 0.5712 | 0.5618 | 0.5712 | 0.7558 |
| No log | 11.625 | 186 | 0.5725 | 0.4879 | 0.5725 | 0.7567 |
| No log | 11.75 | 188 | 0.5748 | 0.5033 | 0.5748 | 0.7582 |
| No log | 11.875 | 190 | 0.5784 | 0.4987 | 0.5784 | 0.7605 |
| No log | 12.0 | 192 | 0.5840 | 0.5394 | 0.5840 | 0.7642 |
| No log | 12.125 | 194 | 0.5858 | 0.5013 | 0.5858 | 0.7654 |
| No log | 12.25 | 196 | 0.5917 | 0.5221 | 0.5917 | 0.7692 |
| No log | 12.375 | 198 | 0.5912 | 0.5308 | 0.5912 | 0.7689 |
| No log | 12.5 | 200 | 0.5910 | 0.5630 | 0.5910 | 0.7688 |
| No log | 12.625 | 202 | 0.5894 | 0.5098 | 0.5894 | 0.7677 |
| No log | 12.75 | 204 | 0.6002 | 0.5260 | 0.6002 | 0.7747 |
| No log | 12.875 | 206 | 0.6420 | 0.4640 | 0.6420 | 0.8012 |
| No log | 13.0 | 208 | 0.6317 | 0.4926 | 0.6317 | 0.7948 |
| No log | 13.125 | 210 | 0.6062 | 0.5487 | 0.6062 | 0.7786 |
| No log | 13.25 | 212 | 0.5984 | 0.5116 | 0.5984 | 0.7735 |
| No log | 13.375 | 214 | 0.5911 | 0.5318 | 0.5911 | 0.7688 |
| No log | 13.5 | 216 | 0.5980 | 0.5208 | 0.5980 | 0.7733 |
| No log | 13.625 | 218 | 0.6145 | 0.5211 | 0.6145 | 0.7839 |
| No log | 13.75 | 220 | 0.6436 | 0.5490 | 0.6436 | 0.8023 |
| No log | 13.875 | 222 | 0.6385 | 0.5144 | 0.6385 | 0.7991 |
| No log | 14.0 | 224 | 0.6262 | 0.5155 | 0.6262 | 0.7913 |
| No log | 14.125 | 226 | 0.6319 | 0.5173 | 0.6319 | 0.7949 |
| No log | 14.25 | 228 | 0.6413 | 0.5197 | 0.6413 | 0.8008 |
| No log | 14.375 | 230 | 0.6589 | 0.5177 | 0.6589 | 0.8117 |
| No log | 14.5 | 232 | 0.6584 | 0.5147 | 0.6584 | 0.8114 |
| No log | 14.625 | 234 | 0.6483 | 0.5519 | 0.6483 | 0.8052 |
| No log | 14.75 | 236 | 0.6556 | 0.5577 | 0.6556 | 0.8097 |
| No log | 14.875 | 238 | 0.6642 | 0.5368 | 0.6642 | 0.8150 |
| No log | 15.0 | 240 | 0.6584 | 0.5052 | 0.6584 | 0.8114 |
| No log | 15.125 | 242 | 0.6419 | 0.5363 | 0.6419 | 0.8012 |
| No log | 15.25 | 244 | 0.6375 | 0.5197 | 0.6375 | 0.7984 |
| No log | 15.375 | 246 | 0.6392 | 0.4913 | 0.6392 | 0.7995 |
| No log | 15.5 | 248 | 0.6301 | 0.5029 | 0.6301 | 0.7938 |
| No log | 15.625 | 250 | 0.6283 | 0.5566 | 0.6283 | 0.7926 |
| No log | 15.75 | 252 | 0.6402 | 0.5328 | 0.6402 | 0.8001 |
| No log | 15.875 | 254 | 0.6358 | 0.5397 | 0.6358 | 0.7974 |
| No log | 16.0 | 256 | 0.6149 | 0.5520 | 0.6149 | 0.7841 |
| No log | 16.125 | 258 | 0.6052 | 0.5520 | 0.6052 | 0.7779 |
| No log | 16.25 | 260 | 0.6060 | 0.5460 | 0.6060 | 0.7785 |
| No log | 16.375 | 262 | 0.6106 | 0.5595 | 0.6106 | 0.7814 |
| No log | 16.5 | 264 | 0.6200 | 0.5683 | 0.6200 | 0.7874 |
| No log | 16.625 | 266 | 0.6308 | 0.5669 | 0.6308 | 0.7942 |
| No log | 16.75 | 268 | 0.6524 | 0.5448 | 0.6524 | 0.8077 |
| No log | 16.875 | 270 | 0.6619 | 0.5203 | 0.6619 | 0.8136 |
| No log | 17.0 | 272 | 0.6700 | 0.5217 | 0.6700 | 0.8186 |
| No log | 17.125 | 274 | 0.6770 | 0.5489 | 0.6770 | 0.8228 |
| No log | 17.25 | 276 | 0.6845 | 0.5429 | 0.6845 | 0.8273 |
| No log | 17.375 | 278 | 0.6862 | 0.5358 | 0.6862 | 0.8284 |
| No log | 17.5 | 280 | 0.6832 | 0.5338 | 0.6832 | 0.8265 |
| No log | 17.625 | 282 | 0.6691 | 0.5607 | 0.6691 | 0.8180 |
| No log | 17.75 | 284 | 0.6621 | 0.5319 | 0.6621 | 0.8137 |
| No log | 17.875 | 286 | 0.6569 | 0.5189 | 0.6569 | 0.8105 |
| No log | 18.0 | 288 | 0.6531 | 0.5506 | 0.6531 | 0.8081 |
| No log | 18.125 | 290 | 0.6563 | 0.5709 | 0.6563 | 0.8101 |
| No log | 18.25 | 292 | 0.6765 | 0.5729 | 0.6765 | 0.8225 |
| No log | 18.375 | 294 | 0.6953 | 0.5900 | 0.6953 | 0.8338 |
| No log | 18.5 | 296 | 0.6837 | 0.5913 | 0.6837 | 0.8268 |
| No log | 18.625 | 298 | 0.6601 | 0.5774 | 0.6601 | 0.8124 |
| No log | 18.75 | 300 | 0.6533 | 0.5260 | 0.6533 | 0.8083 |
| No log | 18.875 | 302 | 0.6525 | 0.5116 | 0.6525 | 0.8078 |
| No log | 19.0 | 304 | 0.6507 | 0.5179 | 0.6507 | 0.8067 |
| No log | 19.125 | 306 | 0.6468 | 0.5652 | 0.6468 | 0.8043 |
| No log | 19.25 | 308 | 0.6469 | 0.5837 | 0.6469 | 0.8043 |
| No log | 19.375 | 310 | 0.6533 | 0.5823 | 0.6533 | 0.8083 |
| No log | 19.5 | 312 | 0.6579 | 0.5562 | 0.6579 | 0.8111 |
| No log | 19.625 | 314 | 0.6765 | 0.5620 | 0.6765 | 0.8225 |
| No log | 19.75 | 316 | 0.6935 | 0.5260 | 0.6935 | 0.8328 |
| No log | 19.875 | 318 | 0.7124 | 0.5167 | 0.7124 | 0.8440 |
| No log | 20.0 | 320 | 0.7147 | 0.5058 | 0.7147 | 0.8454 |
| No log | 20.125 | 322 | 0.7104 | 0.5362 | 0.7104 | 0.8428 |
| No log | 20.25 | 324 | 0.7131 | 0.5775 | 0.7131 | 0.8445 |
| No log | 20.375 | 326 | 0.7027 | 0.5545 | 0.7027 | 0.8383 |
| No log | 20.5 | 328 | 0.6952 | 0.5882 | 0.6952 | 0.8338 |
| No log | 20.625 | 330 | 0.6887 | 0.5727 | 0.6887 | 0.8299 |
| No log | 20.75 | 332 | 0.6774 | 0.5787 | 0.6774 | 0.8231 |
| No log | 20.875 | 334 | 0.6794 | 0.5768 | 0.6794 | 0.8242 |
| No log | 21.0 | 336 | 0.6918 | 0.5176 | 0.6918 | 0.8317 |
| No log | 21.125 | 338 | 0.7170 | 0.4850 | 0.7170 | 0.8468 |
| No log | 21.25 | 340 | 0.7338 | 0.4850 | 0.7338 | 0.8566 |
| No log | 21.375 | 342 | 0.7577 | 0.5788 | 0.7577 | 0.8705 |
| No log | 21.5 | 344 | 0.7508 | 0.5941 | 0.7508 | 0.8665 |
| No log | 21.625 | 346 | 0.7339 | 0.5575 | 0.7339 | 0.8567 |
| No log | 21.75 | 348 | 0.7299 | 0.5168 | 0.7299 | 0.8543 |
| No log | 21.875 | 350 | 0.7320 | 0.5177 | 0.7320 | 0.8556 |
| No log | 22.0 | 352 | 0.7439 | 0.5575 | 0.7439 | 0.8625 |
| No log | 22.125 | 354 | 0.7735 | 0.5504 | 0.7735 | 0.8795 |
| No log | 22.25 | 356 | 0.7775 | 0.5301 | 0.7775 | 0.8817 |
| No log | 22.375 | 358 | 0.7661 | 0.5265 | 0.7661 | 0.8753 |
| No log | 22.5 | 360 | 0.7371 | 0.5028 | 0.7371 | 0.8585 |
| No log | 22.625 | 362 | 0.7179 | 0.4800 | 0.7179 | 0.8473 |
| No log | 22.75 | 364 | 0.7015 | 0.5264 | 0.7015 | 0.8375 |
| No log | 22.875 | 366 | 0.6878 | 0.5423 | 0.6878 | 0.8293 |
| No log | 23.0 | 368 | 0.6822 | 0.5589 | 0.6822 | 0.8259 |
| No log | 23.125 | 370 | 0.6895 | 0.5672 | 0.6895 | 0.8303 |
| No log | 23.25 | 372 | 0.6995 | 0.5835 | 0.6995 | 0.8364 |
| No log | 23.375 | 374 | 0.6922 | 0.5727 | 0.6922 | 0.8320 |
| No log | 23.5 | 376 | 0.7005 | 0.5545 | 0.7005 | 0.8370 |
| No log | 23.625 | 378 | 0.7074 | 0.5530 | 0.7074 | 0.8411 |
| No log | 23.75 | 380 | 0.7160 | 0.5697 | 0.7160 | 0.8462 |
| No log | 23.875 | 382 | 0.7082 | 0.5657 | 0.7082 | 0.8415 |
| No log | 24.0 | 384 | 0.6939 | 0.5671 | 0.6939 | 0.8330 |
| No log | 24.125 | 386 | 0.6881 | 0.5717 | 0.6881 | 0.8295 |
| No log | 24.25 | 388 | 0.6850 | 0.5659 | 0.6850 | 0.8277 |
| No log | 24.375 | 390 | 0.6809 | 0.5659 | 0.6809 | 0.8252 |
| No log | 24.5 | 392 | 0.6830 | 0.5699 | 0.6830 | 0.8264 |
| No log | 24.625 | 394 | 0.6976 | 0.5503 | 0.6976 | 0.8352 |
| No log | 24.75 | 396 | 0.7219 | 0.5572 | 0.7219 | 0.8497 |
| No log | 24.875 | 398 | 0.7484 | 0.5157 | 0.7484 | 0.8651 |
| No log | 25.0 | 400 | 0.7565 | 0.5216 | 0.7565 | 0.8698 |
| No log | 25.125 | 402 | 0.7476 | 0.5275 | 0.7476 | 0.8647 |
| No log | 25.25 | 404 | 0.7303 | 0.5117 | 0.7303 | 0.8546 |
| No log | 25.375 | 406 | 0.7219 | 0.4833 | 0.7219 | 0.8496 |
| No log | 25.5 | 408 | 0.7185 | 0.5166 | 0.7185 | 0.8476 |
| No log | 25.625 | 410 | 0.7213 | 0.5615 | 0.7213 | 0.8493 |
| No log | 25.75 | 412 | 0.7325 | 0.5747 | 0.7325 | 0.8559 |
| No log | 25.875 | 414 | 0.7444 | 0.5687 | 0.7444 | 0.8628 |
| No log | 26.0 | 416 | 0.7361 | 0.5687 | 0.7361 | 0.8580 |
| No log | 26.125 | 418 | 0.7301 | 0.5692 | 0.7301 | 0.8545 |
| No log | 26.25 | 420 | 0.7312 | 0.5533 | 0.7312 | 0.8551 |
| No log | 26.375 | 422 | 0.7504 | 0.5465 | 0.7504 | 0.8662 |
| No log | 26.5 | 424 | 0.7846 | 0.5169 | 0.7846 | 0.8858 |
| No log | 26.625 | 426 | 0.8038 | 0.5168 | 0.8038 | 0.8965 |
| No log | 26.75 | 428 | 0.7820 | 0.5718 | 0.7820 | 0.8843 |
| No log | 26.875 | 430 | 0.7382 | 0.5848 | 0.7382 | 0.8592 |
| No log | 27.0 | 432 | 0.7229 | 0.5865 | 0.7229 | 0.8502 |
| No log | 27.125 | 434 | 0.7364 | 0.5783 | 0.7364 | 0.8581 |
| No log | 27.25 | 436 | 0.7400 | 0.5819 | 0.7400 | 0.8602 |
| No log | 27.375 | 438 | 0.7266 | 0.5677 | 0.7266 | 0.8524 |
| No log | 27.5 | 440 | 0.7053 | 0.5452 | 0.7053 | 0.8398 |
| No log | 27.625 | 442 | 0.7104 | 0.5192 | 0.7104 | 0.8429 |
| No log | 27.75 | 444 | 0.7089 | 0.5046 | 0.7089 | 0.8420 |
| No log | 27.875 | 446 | 0.7089 | 0.5282 | 0.7089 | 0.8420 |
| No log | 28.0 | 448 | 0.7159 | 0.5532 | 0.7159 | 0.8461 |
| No log | 28.125 | 450 | 0.7261 | 0.5806 | 0.7261 | 0.8521 |
| No log | 28.25 | 452 | 0.7016 | 0.5856 | 0.7016 | 0.8376 |
| No log | 28.375 | 454 | 0.6794 | 0.5831 | 0.6794 | 0.8243 |
| No log | 28.5 | 456 | 0.6652 | 0.5877 | 0.6652 | 0.8156 |
| No log | 28.625 | 458 | 0.6693 | 0.5900 | 0.6693 | 0.8181 |
| No log | 28.75 | 460 | 0.6875 | 0.5505 | 0.6875 | 0.8292 |
| No log | 28.875 | 462 | 0.7221 | 0.5412 | 0.7221 | 0.8497 |
| No log | 29.0 | 464 | 0.7771 | 0.5255 | 0.7771 | 0.8815 |
| No log | 29.125 | 466 | 0.8035 | 0.5122 | 0.8035 | 0.8964 |
| No log | 29.25 | 468 | 0.8056 | 0.5106 | 0.8056 | 0.8976 |
| No log | 29.375 | 470 | 0.8081 | 0.5429 | 0.8081 | 0.8990 |
| No log | 29.5 | 472 | 0.7765 | 0.5481 | 0.7765 | 0.8812 |
| No log | 29.625 | 474 | 0.7258 | 0.5668 | 0.7258 | 0.8520 |
| No log | 29.75 | 476 | 0.7106 | 0.5727 | 0.7106 | 0.8430 |
| No log | 29.875 | 478 | 0.7188 | 0.5468 | 0.7188 | 0.8478 |
| No log | 30.0 | 480 | 0.7402 | 0.5388 | 0.7402 | 0.8603 |
| No log | 30.125 | 482 | 0.7879 | 0.5362 | 0.7879 | 0.8877 |
| No log | 30.25 | 484 | 0.8549 | 0.5296 | 0.8549 | 0.9246 |
| No log | 30.375 | 486 | 0.8955 | 0.5031 | 0.8955 | 0.9463 |
| No log | 30.5 | 488 | 0.9082 | 0.4969 | 0.9082 | 0.9530 |
| No log | 30.625 | 490 | 0.8640 | 0.5279 | 0.8640 | 0.9295 |
| No log | 30.75 | 492 | 0.8095 | 0.5300 | 0.8095 | 0.8997 |
| No log | 30.875 | 494 | 0.7659 | 0.4810 | 0.7659 | 0.8752 |
| No log | 31.0 | 496 | 0.7348 | 0.5312 | 0.7348 | 0.8572 |
| No log | 31.125 | 498 | 0.7119 | 0.5589 | 0.7119 | 0.8437 |
| 0.5967 | 31.25 | 500 | 0.7070 | 0.5825 | 0.7070 | 0.8408 |
| 0.5967 | 31.375 | 502 | 0.7180 | 0.5476 | 0.7180 | 0.8474 |
| 0.5967 | 31.5 | 504 | 0.7396 | 0.5530 | 0.7396 | 0.8600 |
| 0.5967 | 31.625 | 506 | 0.7301 | 0.5651 | 0.7301 | 0.8545 |
| 0.5967 | 31.75 | 508 | 0.7008 | 0.5685 | 0.7008 | 0.8372 |
| 0.5967 | 31.875 | 510 | 0.6901 | 0.5255 | 0.6901 | 0.8307 |
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_k6_task2_organization
Base model
aubmindlab/bert-base-arabertv02