Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k11_task3_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k11_task3_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k11_task3_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k11_task3_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k11_task3_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k11_task3_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: 0.5070
- Qwk: 0.3882
- Mse: 0.5070
- Rmse: 0.7120
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0385 | 2 | 3.1327 | 0.0014 | 3.1327 | 1.7699 |
| No log | 0.0769 | 4 | 1.5165 | 0.0168 | 1.5165 | 1.2315 |
| No log | 0.1154 | 6 | 0.8834 | 0.0661 | 0.8834 | 0.9399 |
| No log | 0.1538 | 8 | 0.9111 | 0.1525 | 0.9111 | 0.9545 |
| No log | 0.1923 | 10 | 0.6326 | 0.0815 | 0.6326 | 0.7954 |
| No log | 0.2308 | 12 | 0.6472 | 0.0388 | 0.6472 | 0.8045 |
| No log | 0.2692 | 14 | 0.5698 | -0.0159 | 0.5698 | 0.7548 |
| No log | 0.3077 | 16 | 0.6737 | 0.2917 | 0.6737 | 0.8208 |
| No log | 0.3462 | 18 | 0.5977 | 0.2418 | 0.5977 | 0.7731 |
| No log | 0.3846 | 20 | 0.5319 | 0.1206 | 0.5319 | 0.7293 |
| No log | 0.4231 | 22 | 0.6993 | 0.2410 | 0.6993 | 0.8362 |
| No log | 0.4615 | 24 | 0.6414 | 0.2593 | 0.6414 | 0.8009 |
| No log | 0.5 | 26 | 0.5454 | 0.0 | 0.5454 | 0.7385 |
| No log | 0.5385 | 28 | 0.6325 | 0.0 | 0.6325 | 0.7953 |
| No log | 0.5769 | 30 | 0.5977 | 0.0 | 0.5977 | 0.7731 |
| No log | 0.6154 | 32 | 0.5381 | 0.0 | 0.5381 | 0.7336 |
| No log | 0.6538 | 34 | 0.6487 | 0.3333 | 0.6487 | 0.8054 |
| No log | 0.6923 | 36 | 0.6026 | 0.2889 | 0.6026 | 0.7763 |
| No log | 0.7308 | 38 | 0.5793 | 0.0815 | 0.5793 | 0.7611 |
| No log | 0.7692 | 40 | 0.5933 | 0.3333 | 0.5933 | 0.7702 |
| No log | 0.8077 | 42 | 1.0187 | 0.0794 | 1.0187 | 1.0093 |
| No log | 0.8462 | 44 | 1.3354 | 0.0345 | 1.3354 | 1.1556 |
| No log | 0.8846 | 46 | 1.2738 | 0.0698 | 1.2738 | 1.1286 |
| No log | 0.9231 | 48 | 0.8225 | 0.0843 | 0.8225 | 0.9069 |
| No log | 0.9615 | 50 | 0.5763 | 0.3086 | 0.5763 | 0.7591 |
| No log | 1.0 | 52 | 0.5226 | 0.1111 | 0.5226 | 0.7229 |
| No log | 1.0385 | 54 | 0.5090 | 0.0569 | 0.5090 | 0.7135 |
| No log | 1.0769 | 56 | 0.5124 | 0.0303 | 0.5124 | 0.7158 |
| No log | 1.1154 | 58 | 0.5369 | 0.0725 | 0.5369 | 0.7327 |
| No log | 1.1538 | 60 | 0.6772 | 0.2083 | 0.6772 | 0.8229 |
| No log | 1.1923 | 62 | 0.7020 | 0.2169 | 0.7020 | 0.8379 |
| No log | 1.2308 | 64 | 1.0359 | 0.1795 | 1.0359 | 1.0178 |
| No log | 1.2692 | 66 | 0.6886 | 0.1556 | 0.6886 | 0.8298 |
| No log | 1.3077 | 68 | 0.7954 | 0.2000 | 0.7954 | 0.8918 |
| No log | 1.3462 | 70 | 0.7422 | 0.2464 | 0.7422 | 0.8615 |
| No log | 1.3846 | 72 | 0.7199 | 0.2549 | 0.7199 | 0.8484 |
| No log | 1.4231 | 74 | 0.5163 | 0.2593 | 0.5163 | 0.7185 |
| No log | 1.4615 | 76 | 0.8670 | 0.2340 | 0.8670 | 0.9312 |
| No log | 1.5 | 78 | 0.6768 | 0.3333 | 0.6768 | 0.8227 |
| No log | 1.5385 | 80 | 0.6964 | 0.3214 | 0.6964 | 0.8345 |
| No log | 1.5769 | 82 | 1.8880 | 0.0667 | 1.8880 | 1.3740 |
| No log | 1.6154 | 84 | 1.9029 | 0.0336 | 1.9029 | 1.3795 |
| No log | 1.6538 | 86 | 1.1195 | 0.1429 | 1.1195 | 1.0581 |
| No log | 1.6923 | 88 | 0.5058 | 0.0815 | 0.5058 | 0.7112 |
| No log | 1.7308 | 90 | 0.8067 | -0.0462 | 0.8067 | 0.8982 |
| No log | 1.7692 | 92 | 0.7802 | -0.0560 | 0.7802 | 0.8833 |
| No log | 1.8077 | 94 | 0.7172 | -0.1429 | 0.7172 | 0.8469 |
| No log | 1.8462 | 96 | 0.6791 | 0.0569 | 0.6791 | 0.8241 |
| No log | 1.8846 | 98 | 0.7522 | 0.1481 | 0.7522 | 0.8673 |
| No log | 1.9231 | 100 | 0.8401 | 0.2479 | 0.8401 | 0.9166 |
| No log | 1.9615 | 102 | 0.7368 | 0.2381 | 0.7368 | 0.8584 |
| No log | 2.0 | 104 | 0.5527 | 0.2970 | 0.5527 | 0.7435 |
| No log | 2.0385 | 106 | 0.5222 | 0.1773 | 0.5222 | 0.7226 |
| No log | 2.0769 | 108 | 0.6172 | 0.2637 | 0.6172 | 0.7856 |
| No log | 2.1154 | 110 | 1.2035 | 0.0698 | 1.2035 | 1.0970 |
| No log | 2.1538 | 112 | 1.2292 | 0.0345 | 1.2292 | 1.1087 |
| No log | 2.1923 | 114 | 0.8294 | 0.1934 | 0.8294 | 0.9107 |
| No log | 2.2308 | 116 | 0.4823 | 0.0857 | 0.4823 | 0.6944 |
| No log | 2.2692 | 118 | 0.5000 | 0.2552 | 0.5000 | 0.7071 |
| No log | 2.3077 | 120 | 0.5410 | 0.2516 | 0.5410 | 0.7355 |
| No log | 2.3462 | 122 | 0.4877 | 0.3247 | 0.4877 | 0.6983 |
| No log | 2.3846 | 124 | 0.5834 | 0.3860 | 0.5834 | 0.7638 |
| No log | 2.4231 | 126 | 1.2090 | 0.1587 | 1.2090 | 1.0995 |
| No log | 2.4615 | 128 | 1.1670 | 0.1940 | 1.1670 | 1.0803 |
| No log | 2.5 | 130 | 0.5793 | 0.2793 | 0.5793 | 0.7611 |
| No log | 2.5385 | 132 | 0.6618 | 0.3191 | 0.6618 | 0.8135 |
| No log | 2.5769 | 134 | 1.1042 | 0.1238 | 1.1042 | 1.0508 |
| No log | 2.6154 | 136 | 1.1195 | 0.1238 | 1.1195 | 1.0580 |
| No log | 2.6538 | 138 | 0.6430 | 0.3191 | 0.6430 | 0.8019 |
| No log | 2.6923 | 140 | 0.4828 | 0.3591 | 0.4828 | 0.6948 |
| No log | 2.7308 | 142 | 0.5888 | 0.3427 | 0.5888 | 0.7673 |
| No log | 2.7692 | 144 | 0.5360 | 0.3831 | 0.5360 | 0.7321 |
| No log | 2.8077 | 146 | 0.4983 | 0.3609 | 0.4983 | 0.7059 |
| No log | 2.8462 | 148 | 0.8782 | 0.2308 | 0.8782 | 0.9371 |
| No log | 2.8846 | 150 | 0.8315 | 0.2000 | 0.8315 | 0.9118 |
| No log | 2.9231 | 152 | 0.4826 | 0.3882 | 0.4826 | 0.6947 |
| No log | 2.9615 | 154 | 0.6042 | 0.3462 | 0.6042 | 0.7773 |
| No log | 3.0 | 156 | 1.0585 | 0.2296 | 1.0585 | 1.0288 |
| No log | 3.0385 | 158 | 0.9549 | 0.2653 | 0.9549 | 0.9772 |
| No log | 3.0769 | 160 | 0.5914 | 0.3990 | 0.5914 | 0.7690 |
| No log | 3.1154 | 162 | 0.5009 | 0.3455 | 0.5009 | 0.7077 |
| No log | 3.1538 | 164 | 0.6269 | 0.2941 | 0.6269 | 0.7917 |
| No log | 3.1923 | 166 | 0.5624 | 0.3032 | 0.5624 | 0.7499 |
| No log | 3.2308 | 168 | 0.4748 | 0.2418 | 0.4748 | 0.6890 |
| No log | 3.2692 | 170 | 0.5201 | 0.2914 | 0.5201 | 0.7212 |
| No log | 3.3077 | 172 | 0.5340 | 0.2360 | 0.5340 | 0.7308 |
| No log | 3.3462 | 174 | 0.4896 | 0.3333 | 0.4896 | 0.6997 |
| No log | 3.3846 | 176 | 0.5075 | 0.3216 | 0.5075 | 0.7124 |
| No log | 3.4231 | 178 | 0.5935 | 0.3797 | 0.5935 | 0.7704 |
| No log | 3.4615 | 180 | 0.6505 | 0.2793 | 0.6505 | 0.8065 |
| No log | 3.5 | 182 | 0.6859 | 0.2775 | 0.6859 | 0.8282 |
| No log | 3.5385 | 184 | 0.5963 | 0.3831 | 0.5963 | 0.7722 |
| No log | 3.5769 | 186 | 0.5618 | 0.3333 | 0.5618 | 0.7495 |
| No log | 3.6154 | 188 | 0.5625 | 0.3439 | 0.5625 | 0.7500 |
| No log | 3.6538 | 190 | 0.5554 | 0.3548 | 0.5554 | 0.7452 |
| No log | 3.6923 | 192 | 0.5763 | 0.4162 | 0.5763 | 0.7592 |
| No log | 3.7308 | 194 | 0.5349 | 0.3118 | 0.5349 | 0.7314 |
| No log | 3.7692 | 196 | 0.5471 | 0.3191 | 0.5471 | 0.7396 |
| No log | 3.8077 | 198 | 0.5217 | 0.3191 | 0.5217 | 0.7223 |
| No log | 3.8462 | 200 | 0.5289 | 0.3778 | 0.5289 | 0.7272 |
| No log | 3.8846 | 202 | 0.5218 | 0.3488 | 0.5218 | 0.7224 |
| No log | 3.9231 | 204 | 0.4787 | 0.3684 | 0.4787 | 0.6919 |
| No log | 3.9615 | 206 | 0.4876 | 0.3023 | 0.4876 | 0.6983 |
| No log | 4.0 | 208 | 0.4676 | 0.35 | 0.4676 | 0.6838 |
| No log | 4.0385 | 210 | 0.4596 | 0.3067 | 0.4596 | 0.6780 |
| No log | 4.0769 | 212 | 0.5317 | 0.3292 | 0.5317 | 0.7292 |
| No log | 4.1154 | 214 | 0.5693 | 0.3591 | 0.5693 | 0.7545 |
| No log | 4.1538 | 216 | 0.5191 | 0.3533 | 0.5191 | 0.7205 |
| No log | 4.1923 | 218 | 0.4685 | 0.5122 | 0.4685 | 0.6845 |
| No log | 4.2308 | 220 | 0.4772 | 0.4682 | 0.4772 | 0.6908 |
| No log | 4.2692 | 222 | 0.5116 | 0.3446 | 0.5116 | 0.7153 |
| No log | 4.3077 | 224 | 0.5238 | 0.4583 | 0.5238 | 0.7237 |
| No log | 4.3462 | 226 | 0.6173 | 0.3761 | 0.6173 | 0.7857 |
| No log | 4.3846 | 228 | 0.5804 | 0.4171 | 0.5804 | 0.7619 |
| No log | 4.4231 | 230 | 0.6184 | 0.3929 | 0.6184 | 0.7864 |
| No log | 4.4615 | 232 | 0.6946 | 0.3973 | 0.6946 | 0.8334 |
| No log | 4.5 | 234 | 0.7229 | 0.3929 | 0.7229 | 0.8503 |
| No log | 4.5385 | 236 | 0.5563 | 0.4227 | 0.5563 | 0.7458 |
| No log | 4.5769 | 238 | 0.5867 | 0.2917 | 0.5867 | 0.7660 |
| No log | 4.6154 | 240 | 0.6048 | 0.3769 | 0.6048 | 0.7777 |
| No log | 4.6538 | 242 | 0.5234 | 0.3182 | 0.5234 | 0.7235 |
| No log | 4.6923 | 244 | 0.5319 | 0.3978 | 0.5319 | 0.7293 |
| No log | 4.7308 | 246 | 0.5212 | 0.3846 | 0.5212 | 0.7220 |
| No log | 4.7692 | 248 | 0.5202 | 0.3333 | 0.5202 | 0.7213 |
| No log | 4.8077 | 250 | 0.5338 | 0.3846 | 0.5338 | 0.7306 |
| No log | 4.8462 | 252 | 0.6411 | 0.3524 | 0.6411 | 0.8007 |
| No log | 4.8846 | 254 | 0.8072 | 0.3473 | 0.8072 | 0.8985 |
| No log | 4.9231 | 256 | 0.6915 | 0.3793 | 0.6915 | 0.8316 |
| No log | 4.9615 | 258 | 0.6044 | 0.4185 | 0.6044 | 0.7774 |
| No log | 5.0 | 260 | 0.5360 | 0.3297 | 0.5360 | 0.7321 |
| No log | 5.0385 | 262 | 0.5355 | 0.3191 | 0.5355 | 0.7318 |
| No log | 5.0769 | 264 | 0.5311 | 0.3846 | 0.5311 | 0.7288 |
| No log | 5.1154 | 266 | 0.6214 | 0.3394 | 0.6214 | 0.7883 |
| No log | 5.1538 | 268 | 0.6579 | 0.3488 | 0.6579 | 0.8111 |
| No log | 5.1923 | 270 | 0.5301 | 0.3617 | 0.5301 | 0.7281 |
| No log | 5.2308 | 272 | 0.5048 | 0.4607 | 0.5048 | 0.7105 |
| No log | 5.2692 | 274 | 0.5070 | 0.4220 | 0.5070 | 0.7121 |
| No log | 5.3077 | 276 | 0.5127 | 0.4227 | 0.5127 | 0.7160 |
| No log | 5.3462 | 278 | 0.6753 | 0.3645 | 0.6753 | 0.8218 |
| No log | 5.3846 | 280 | 0.7054 | 0.3188 | 0.7054 | 0.8399 |
| No log | 5.4231 | 282 | 0.5441 | 0.3469 | 0.5441 | 0.7376 |
| No log | 5.4615 | 284 | 0.5219 | 0.3730 | 0.5219 | 0.7225 |
| No log | 5.5 | 286 | 0.5428 | 0.4098 | 0.5428 | 0.7367 |
| No log | 5.5385 | 288 | 0.5181 | 0.3617 | 0.5181 | 0.7198 |
| No log | 5.5769 | 290 | 0.6140 | 0.3623 | 0.6140 | 0.7836 |
| No log | 5.6154 | 292 | 0.6187 | 0.3585 | 0.6187 | 0.7866 |
| No log | 5.6538 | 294 | 0.5684 | 0.3508 | 0.5684 | 0.7540 |
| No log | 5.6923 | 296 | 0.5443 | 0.3263 | 0.5443 | 0.7377 |
| No log | 5.7308 | 298 | 0.5802 | 0.3469 | 0.5802 | 0.7617 |
| No log | 5.7692 | 300 | 0.5735 | 0.3016 | 0.5735 | 0.7573 |
| No log | 5.8077 | 302 | 0.5429 | 0.2889 | 0.5429 | 0.7368 |
| No log | 5.8462 | 304 | 0.5425 | 0.1908 | 0.5425 | 0.7366 |
| No log | 5.8846 | 306 | 0.5484 | 0.3297 | 0.5484 | 0.7405 |
| No log | 5.9231 | 308 | 0.6030 | 0.4343 | 0.6030 | 0.7765 |
| No log | 5.9615 | 310 | 0.5792 | 0.4286 | 0.5792 | 0.7610 |
| No log | 6.0 | 312 | 0.5288 | 0.2889 | 0.5288 | 0.7272 |
| No log | 6.0385 | 314 | 0.5204 | 0.3136 | 0.5204 | 0.7214 |
| No log | 6.0769 | 316 | 0.5522 | 0.2727 | 0.5522 | 0.7431 |
| No log | 6.1154 | 318 | 0.5074 | 0.2683 | 0.5074 | 0.7123 |
| No log | 6.1538 | 320 | 0.4982 | 0.4152 | 0.4982 | 0.7058 |
| No log | 6.1923 | 322 | 0.5552 | 0.3407 | 0.5552 | 0.7451 |
| No log | 6.2308 | 324 | 0.5361 | 0.3333 | 0.5361 | 0.7322 |
| No log | 6.2692 | 326 | 0.4808 | 0.4217 | 0.4808 | 0.6934 |
| No log | 6.3077 | 328 | 0.4719 | 0.4634 | 0.4719 | 0.6869 |
| No log | 6.3462 | 330 | 0.4770 | 0.4217 | 0.4770 | 0.6906 |
| No log | 6.3846 | 332 | 0.5022 | 0.3865 | 0.5022 | 0.7086 |
| No log | 6.4231 | 334 | 0.5142 | 0.3865 | 0.5142 | 0.7170 |
| No log | 6.4615 | 336 | 0.4904 | 0.4217 | 0.4904 | 0.7003 |
| No log | 6.5 | 338 | 0.4870 | 0.4217 | 0.4870 | 0.6978 |
| No log | 6.5385 | 340 | 0.5177 | 0.35 | 0.5177 | 0.7195 |
| No log | 6.5769 | 342 | 0.5379 | 0.3659 | 0.5379 | 0.7334 |
| No log | 6.6154 | 344 | 0.5572 | 0.3520 | 0.5572 | 0.7465 |
| No log | 6.6538 | 346 | 0.5300 | 0.4012 | 0.5300 | 0.7280 |
| No log | 6.6923 | 348 | 0.4896 | 0.3735 | 0.4896 | 0.6997 |
| No log | 6.7308 | 350 | 0.4784 | 0.3882 | 0.4784 | 0.6917 |
| No log | 6.7692 | 352 | 0.4846 | 0.3735 | 0.4846 | 0.6961 |
| No log | 6.8077 | 354 | 0.5063 | 0.4152 | 0.5063 | 0.7115 |
| No log | 6.8462 | 356 | 0.5069 | 0.4152 | 0.5069 | 0.7120 |
| No log | 6.8846 | 358 | 0.4865 | 0.4286 | 0.4865 | 0.6975 |
| No log | 6.9231 | 360 | 0.4864 | 0.4286 | 0.4864 | 0.6974 |
| No log | 6.9615 | 362 | 0.5067 | 0.4091 | 0.5067 | 0.7119 |
| No log | 7.0 | 364 | 0.5401 | 0.4051 | 0.5401 | 0.7349 |
| No log | 7.0385 | 366 | 0.5609 | 0.4167 | 0.5609 | 0.7489 |
| No log | 7.0769 | 368 | 0.5201 | 0.4286 | 0.5201 | 0.7212 |
| No log | 7.1154 | 370 | 0.4925 | 0.3000 | 0.4925 | 0.7018 |
| No log | 7.1538 | 372 | 0.5394 | 0.2370 | 0.5394 | 0.7345 |
| No log | 7.1923 | 374 | 0.5880 | 0.2179 | 0.5880 | 0.7668 |
| No log | 7.2308 | 376 | 0.5583 | 0.2727 | 0.5583 | 0.7472 |
| No log | 7.2692 | 378 | 0.5010 | 0.2405 | 0.5010 | 0.7078 |
| No log | 7.3077 | 380 | 0.4939 | 0.2821 | 0.4939 | 0.7028 |
| No log | 7.3462 | 382 | 0.5034 | 0.2632 | 0.5034 | 0.7095 |
| No log | 7.3846 | 384 | 0.5460 | 0.4483 | 0.5460 | 0.7389 |
| No log | 7.4231 | 386 | 0.5782 | 0.3769 | 0.5782 | 0.7604 |
| No log | 7.4615 | 388 | 0.5634 | 0.4227 | 0.5634 | 0.7506 |
| No log | 7.5 | 390 | 0.5093 | 0.4012 | 0.5093 | 0.7136 |
| No log | 7.5385 | 392 | 0.4924 | 0.2704 | 0.4924 | 0.7017 |
| No log | 7.5769 | 394 | 0.5380 | 0.2471 | 0.5380 | 0.7335 |
| No log | 7.6154 | 396 | 0.5825 | 0.2088 | 0.5825 | 0.7632 |
| No log | 7.6538 | 398 | 0.5606 | 0.2370 | 0.5606 | 0.7487 |
| No log | 7.6923 | 400 | 0.5104 | 0.2298 | 0.5104 | 0.7144 |
| No log | 7.7308 | 402 | 0.4963 | 0.2533 | 0.4963 | 0.7045 |
| No log | 7.7692 | 404 | 0.5057 | 0.2632 | 0.5057 | 0.7111 |
| No log | 7.8077 | 406 | 0.5083 | 0.3121 | 0.5083 | 0.7130 |
| No log | 7.8462 | 408 | 0.5048 | 0.2632 | 0.5048 | 0.7105 |
| No log | 7.8846 | 410 | 0.4935 | 0.2418 | 0.4935 | 0.7025 |
| No log | 7.9231 | 412 | 0.5076 | 0.1899 | 0.5076 | 0.7124 |
| No log | 7.9615 | 414 | 0.5258 | 0.2941 | 0.5258 | 0.7251 |
| No log | 8.0 | 416 | 0.5248 | 0.2941 | 0.5248 | 0.7244 |
| No log | 8.0385 | 418 | 0.5042 | 0.1899 | 0.5042 | 0.7100 |
| No log | 8.0769 | 420 | 0.4917 | 0.2418 | 0.4917 | 0.7012 |
| No log | 8.1154 | 422 | 0.5277 | 0.4483 | 0.5277 | 0.7264 |
| No log | 8.1538 | 424 | 0.5872 | 0.3814 | 0.5872 | 0.7663 |
| No log | 8.1923 | 426 | 0.5966 | 0.3725 | 0.5966 | 0.7724 |
| No log | 8.2308 | 428 | 0.5602 | 0.3814 | 0.5602 | 0.7485 |
| No log | 8.2692 | 430 | 0.5105 | 0.4074 | 0.5105 | 0.7145 |
| No log | 8.3077 | 432 | 0.4929 | 0.25 | 0.4929 | 0.7021 |
| No log | 8.3462 | 434 | 0.4947 | 0.2883 | 0.4947 | 0.7033 |
| No log | 8.3846 | 436 | 0.4931 | 0.25 | 0.4931 | 0.7022 |
| No log | 8.4231 | 438 | 0.4930 | 0.2593 | 0.4930 | 0.7021 |
| No log | 8.4615 | 440 | 0.4932 | 0.2883 | 0.4932 | 0.7023 |
| No log | 8.5 | 442 | 0.4929 | 0.2970 | 0.4929 | 0.7020 |
| No log | 8.5385 | 444 | 0.4936 | 0.3412 | 0.4936 | 0.7025 |
| No log | 8.5769 | 446 | 0.4981 | 0.4152 | 0.4981 | 0.7058 |
| No log | 8.6154 | 448 | 0.5017 | 0.4152 | 0.5017 | 0.7083 |
| No log | 8.6538 | 450 | 0.5160 | 0.3882 | 0.5160 | 0.7183 |
| No log | 8.6923 | 452 | 0.5139 | 0.3882 | 0.5139 | 0.7169 |
| No log | 8.7308 | 454 | 0.5001 | 0.4152 | 0.5001 | 0.7072 |
| No log | 8.7692 | 456 | 0.4950 | 0.3735 | 0.4950 | 0.7036 |
| No log | 8.8077 | 458 | 0.4950 | 0.3292 | 0.4950 | 0.7035 |
| No log | 8.8462 | 460 | 0.4928 | 0.3292 | 0.4928 | 0.7020 |
| No log | 8.8846 | 462 | 0.4957 | 0.2911 | 0.4957 | 0.7041 |
| No log | 8.9231 | 464 | 0.5025 | 0.3455 | 0.5025 | 0.7089 |
| No log | 8.9615 | 466 | 0.5096 | 0.3533 | 0.5096 | 0.7139 |
| No log | 9.0 | 468 | 0.5116 | 0.3659 | 0.5116 | 0.7152 |
| No log | 9.0385 | 470 | 0.5110 | 0.3659 | 0.5110 | 0.7148 |
| No log | 9.0769 | 472 | 0.5005 | 0.3333 | 0.5005 | 0.7074 |
| No log | 9.1154 | 474 | 0.4923 | 0.2704 | 0.4923 | 0.7016 |
| No log | 9.1538 | 476 | 0.4913 | 0.2704 | 0.4913 | 0.7010 |
| No log | 9.1923 | 478 | 0.4918 | 0.2704 | 0.4918 | 0.7013 |
| No log | 9.2308 | 480 | 0.4921 | 0.3086 | 0.4921 | 0.7015 |
| No log | 9.2692 | 482 | 0.4922 | 0.3086 | 0.4922 | 0.7016 |
| No log | 9.3077 | 484 | 0.4928 | 0.3086 | 0.4928 | 0.7020 |
| No log | 9.3462 | 486 | 0.4936 | 0.3086 | 0.4936 | 0.7026 |
| No log | 9.3846 | 488 | 0.4943 | 0.3086 | 0.4943 | 0.7030 |
| No log | 9.4231 | 490 | 0.4955 | 0.3086 | 0.4955 | 0.7039 |
| No log | 9.4615 | 492 | 0.4968 | 0.3659 | 0.4968 | 0.7049 |
| No log | 9.5 | 494 | 0.5007 | 0.3735 | 0.5007 | 0.7076 |
| No log | 9.5385 | 496 | 0.5081 | 0.4091 | 0.5081 | 0.7128 |
| No log | 9.5769 | 498 | 0.5165 | 0.3533 | 0.5165 | 0.7187 |
| 0.4126 | 9.6154 | 500 | 0.5178 | 0.3533 | 0.5178 | 0.7196 |
| 0.4126 | 9.6538 | 502 | 0.5134 | 0.3533 | 0.5134 | 0.7165 |
| 0.4126 | 9.6923 | 504 | 0.5083 | 0.4091 | 0.5083 | 0.7129 |
| 0.4126 | 9.7308 | 506 | 0.5079 | 0.4091 | 0.5079 | 0.7127 |
| 0.4126 | 9.7692 | 508 | 0.5080 | 0.4091 | 0.5080 | 0.7127 |
| 0.4126 | 9.8077 | 510 | 0.5090 | 0.3757 | 0.5090 | 0.7134 |
| 0.4126 | 9.8462 | 512 | 0.5084 | 0.3757 | 0.5084 | 0.7130 |
| 0.4126 | 9.8846 | 514 | 0.5081 | 0.3882 | 0.5081 | 0.7128 |
| 0.4126 | 9.9231 | 516 | 0.5074 | 0.3882 | 0.5074 | 0.7123 |
| 0.4126 | 9.9615 | 518 | 0.5070 | 0.3882 | 0.5070 | 0.7120 |
| 0.4126 | 10.0 | 520 | 0.5070 | 0.3882 | 0.5070 | 0.7120 |
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/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k11_task3_organization
Base model
aubmindlab/bert-base-arabertv02