Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task3_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task3_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task3_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task3_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task3_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_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: 0.5985
- Qwk: 0.4930
- Mse: 0.5985
- Rmse: 0.7736
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 | 0.0417 | 2 | 3.3751 | -0.0053 | 3.3751 | 1.8372 |
| No log | 0.0833 | 4 | 2.5268 | -0.1082 | 2.5268 | 1.5896 |
| No log | 0.125 | 6 | 1.0875 | 0.0 | 1.0875 | 1.0428 |
| No log | 0.1667 | 8 | 0.9012 | 0.0476 | 0.9012 | 0.9493 |
| No log | 0.2083 | 10 | 0.7501 | 0.0980 | 0.7501 | 0.8661 |
| No log | 0.25 | 12 | 0.8934 | 0.0380 | 0.8934 | 0.9452 |
| No log | 0.2917 | 14 | 0.8699 | 0.0085 | 0.8699 | 0.9327 |
| No log | 0.3333 | 16 | 0.9620 | 0.0617 | 0.9620 | 0.9808 |
| No log | 0.375 | 18 | 1.2232 | 0.0078 | 1.2232 | 1.1060 |
| No log | 0.4167 | 20 | 0.9158 | 0.0685 | 0.9158 | 0.9570 |
| No log | 0.4583 | 22 | 0.7060 | -0.1014 | 0.7060 | 0.8402 |
| No log | 0.5 | 24 | 0.6807 | -0.0233 | 0.6807 | 0.8250 |
| No log | 0.5417 | 26 | 0.7055 | 0.0 | 0.7055 | 0.8399 |
| No log | 0.5833 | 28 | 0.6724 | 0.0 | 0.6724 | 0.8200 |
| No log | 0.625 | 30 | 0.6333 | 0.1795 | 0.6333 | 0.7958 |
| No log | 0.6667 | 32 | 0.9555 | 0.0578 | 0.9555 | 0.9775 |
| No log | 0.7083 | 34 | 0.6257 | 0.2201 | 0.6257 | 0.7910 |
| No log | 0.75 | 36 | 0.5650 | 0.2533 | 0.5650 | 0.7517 |
| No log | 0.7917 | 38 | 0.5519 | 0.2941 | 0.5519 | 0.7429 |
| No log | 0.8333 | 40 | 0.5745 | 0.125 | 0.5745 | 0.7580 |
| No log | 0.875 | 42 | 0.5560 | 0.1642 | 0.5560 | 0.7457 |
| No log | 0.9167 | 44 | 0.6868 | 0.3089 | 0.6868 | 0.8287 |
| No log | 0.9583 | 46 | 0.6141 | 0.3882 | 0.6141 | 0.7837 |
| No log | 1.0 | 48 | 0.5349 | 0.2727 | 0.5349 | 0.7313 |
| No log | 1.0417 | 50 | 0.7232 | 0.1568 | 0.7232 | 0.8504 |
| No log | 1.0833 | 52 | 0.5685 | 0.2752 | 0.5685 | 0.7540 |
| No log | 1.125 | 54 | 0.7461 | 0.1770 | 0.7461 | 0.8637 |
| No log | 1.1667 | 56 | 0.8848 | 0.1588 | 0.8848 | 0.9406 |
| No log | 1.2083 | 58 | 0.5738 | 0.2093 | 0.5738 | 0.7575 |
| No log | 1.25 | 60 | 0.7405 | 0.2000 | 0.7405 | 0.8605 |
| No log | 1.2917 | 62 | 0.9544 | -0.0545 | 0.9544 | 0.9770 |
| No log | 1.3333 | 64 | 0.8206 | 0.0629 | 0.8206 | 0.9059 |
| No log | 1.375 | 66 | 0.6483 | 0.1135 | 0.6483 | 0.8052 |
| No log | 1.4167 | 68 | 1.1976 | 0.0745 | 1.1976 | 1.0943 |
| No log | 1.4583 | 70 | 1.1815 | 0.0698 | 1.1815 | 1.0869 |
| No log | 1.5 | 72 | 0.8083 | 0.1667 | 0.8083 | 0.8991 |
| No log | 1.5417 | 74 | 0.6155 | 0.0877 | 0.6155 | 0.7845 |
| No log | 1.5833 | 76 | 0.6391 | 0.2552 | 0.6391 | 0.7995 |
| No log | 1.625 | 78 | 0.8042 | 0.2444 | 0.8042 | 0.8968 |
| No log | 1.6667 | 80 | 0.6948 | 0.2970 | 0.6948 | 0.8335 |
| No log | 1.7083 | 82 | 0.5866 | 0.2090 | 0.5866 | 0.7659 |
| No log | 1.75 | 84 | 1.1790 | 0.1206 | 1.1790 | 1.0858 |
| No log | 1.7917 | 86 | 1.3099 | 0.1351 | 1.3099 | 1.1445 |
| No log | 1.8333 | 88 | 0.8163 | 0.1644 | 0.8163 | 0.9035 |
| No log | 1.875 | 90 | 0.5658 | 0.4286 | 0.5658 | 0.7522 |
| No log | 1.9167 | 92 | 0.9056 | 0.0154 | 0.9056 | 0.9516 |
| No log | 1.9583 | 94 | 0.8988 | 0.0431 | 0.8988 | 0.9481 |
| No log | 2.0 | 96 | 0.6143 | 0.2533 | 0.6143 | 0.7838 |
| No log | 2.0417 | 98 | 0.5210 | 0.2632 | 0.5210 | 0.7218 |
| No log | 2.0833 | 100 | 0.5389 | 0.2683 | 0.5389 | 0.7341 |
| No log | 2.125 | 102 | 0.5291 | 0.3846 | 0.5291 | 0.7274 |
| No log | 2.1667 | 104 | 0.6971 | 0.3757 | 0.6971 | 0.8349 |
| No log | 2.2083 | 106 | 0.6481 | 0.4105 | 0.6481 | 0.8050 |
| No log | 2.25 | 108 | 0.6321 | 0.3814 | 0.6321 | 0.7951 |
| No log | 2.2917 | 110 | 0.6325 | 0.3684 | 0.6325 | 0.7953 |
| No log | 2.3333 | 112 | 0.7728 | 0.2618 | 0.7728 | 0.8791 |
| No log | 2.375 | 114 | 0.8747 | 0.2389 | 0.8747 | 0.9353 |
| No log | 2.4167 | 116 | 0.7447 | 0.3004 | 0.7447 | 0.8630 |
| No log | 2.4583 | 118 | 0.6477 | 0.3089 | 0.6477 | 0.8048 |
| No log | 2.5 | 120 | 0.6202 | 0.3231 | 0.6202 | 0.7875 |
| No log | 2.5417 | 122 | 0.6330 | 0.4128 | 0.6330 | 0.7956 |
| No log | 2.5833 | 124 | 0.8693 | 0.1939 | 0.8693 | 0.9324 |
| No log | 2.625 | 126 | 0.6504 | 0.3422 | 0.6504 | 0.8064 |
| No log | 2.6667 | 128 | 0.6166 | 0.2593 | 0.6166 | 0.7852 |
| No log | 2.7083 | 130 | 0.8233 | 0.1289 | 0.8233 | 0.9073 |
| No log | 2.75 | 132 | 0.6142 | 0.2889 | 0.6142 | 0.7837 |
| No log | 2.7917 | 134 | 0.6423 | 0.2727 | 0.6423 | 0.8015 |
| No log | 2.8333 | 136 | 0.8910 | 0.2327 | 0.8910 | 0.9439 |
| No log | 2.875 | 138 | 0.6939 | 0.2637 | 0.6939 | 0.8330 |
| No log | 2.9167 | 140 | 0.5661 | 0.3224 | 0.5661 | 0.7524 |
| No log | 2.9583 | 142 | 0.6585 | 0.1818 | 0.6585 | 0.8115 |
| No log | 3.0 | 144 | 0.6267 | 0.3478 | 0.6267 | 0.7917 |
| No log | 3.0417 | 146 | 0.7265 | 0.3818 | 0.7265 | 0.8523 |
| No log | 3.0833 | 148 | 0.8380 | 0.4050 | 0.8380 | 0.9154 |
| No log | 3.125 | 150 | 0.9467 | 0.2440 | 0.9467 | 0.9730 |
| No log | 3.1667 | 152 | 0.7035 | 0.4087 | 0.7035 | 0.8387 |
| No log | 3.2083 | 154 | 0.6071 | 0.3333 | 0.6071 | 0.7792 |
| No log | 3.25 | 156 | 0.6553 | 0.3755 | 0.6553 | 0.8095 |
| No log | 3.2917 | 158 | 0.6382 | 0.3898 | 0.6382 | 0.7989 |
| No log | 3.3333 | 160 | 0.5724 | 0.3874 | 0.5724 | 0.7566 |
| No log | 3.375 | 162 | 0.7635 | 0.3846 | 0.7635 | 0.8738 |
| No log | 3.4167 | 164 | 1.1454 | 0.0915 | 1.1454 | 1.0702 |
| No log | 3.4583 | 166 | 1.2132 | 0.0035 | 1.2132 | 1.1014 |
| No log | 3.5 | 168 | 1.0040 | 0.1014 | 1.0040 | 1.0020 |
| No log | 3.5417 | 170 | 0.7376 | 0.3214 | 0.7376 | 0.8588 |
| No log | 3.5833 | 172 | 0.6075 | 0.4231 | 0.6075 | 0.7794 |
| No log | 3.625 | 174 | 0.6312 | 0.4231 | 0.6312 | 0.7945 |
| No log | 3.6667 | 176 | 0.8232 | 0.3202 | 0.8232 | 0.9073 |
| No log | 3.7083 | 178 | 1.1661 | 0.1429 | 1.1661 | 1.0799 |
| No log | 3.75 | 180 | 1.5818 | 0.0968 | 1.5818 | 1.2577 |
| No log | 3.7917 | 182 | 1.3642 | 0.1553 | 1.3642 | 1.1680 |
| No log | 3.8333 | 184 | 0.9188 | 0.3282 | 0.9188 | 0.9585 |
| No log | 3.875 | 186 | 0.8171 | 0.3036 | 0.8171 | 0.9039 |
| No log | 3.9167 | 188 | 0.8656 | 0.2846 | 0.8656 | 0.9304 |
| No log | 3.9583 | 190 | 0.9581 | 0.2481 | 0.9581 | 0.9788 |
| No log | 4.0 | 192 | 1.0230 | 0.1254 | 1.0230 | 1.0114 |
| No log | 4.0417 | 194 | 0.9845 | 0.1533 | 0.9845 | 0.9922 |
| No log | 4.0833 | 196 | 1.0352 | 0.1886 | 1.0352 | 1.0175 |
| No log | 4.125 | 198 | 0.7445 | 0.3633 | 0.7445 | 0.8628 |
| No log | 4.1667 | 200 | 0.6191 | 0.3524 | 0.6191 | 0.7868 |
| No log | 4.2083 | 202 | 0.6777 | 0.3833 | 0.6777 | 0.8232 |
| No log | 4.25 | 204 | 0.7868 | 0.3333 | 0.7868 | 0.8870 |
| No log | 4.2917 | 206 | 0.8177 | 0.3903 | 0.8177 | 0.9043 |
| No log | 4.3333 | 208 | 0.9940 | 0.1667 | 0.9940 | 0.9970 |
| No log | 4.375 | 210 | 0.8802 | 0.2958 | 0.8802 | 0.9382 |
| No log | 4.4167 | 212 | 0.6237 | 0.4340 | 0.6237 | 0.7897 |
| No log | 4.4583 | 214 | 0.6026 | 0.4010 | 0.6026 | 0.7763 |
| No log | 4.5 | 216 | 0.8355 | 0.2647 | 0.8355 | 0.9141 |
| No log | 4.5417 | 218 | 0.9705 | 0.2688 | 0.9705 | 0.9851 |
| No log | 4.5833 | 220 | 0.8742 | 0.2582 | 0.8742 | 0.9350 |
| No log | 4.625 | 222 | 0.9810 | 0.2113 | 0.9810 | 0.9904 |
| No log | 4.6667 | 224 | 0.8314 | 0.2582 | 0.8314 | 0.9118 |
| No log | 4.7083 | 226 | 0.6606 | 0.4335 | 0.6606 | 0.8128 |
| No log | 4.75 | 228 | 0.5773 | 0.3761 | 0.5773 | 0.7598 |
| No log | 4.7917 | 230 | 0.5978 | 0.4182 | 0.5978 | 0.7732 |
| No log | 4.8333 | 232 | 0.7223 | 0.3834 | 0.7223 | 0.8499 |
| No log | 4.875 | 234 | 0.9839 | 0.1943 | 0.9839 | 0.9919 |
| No log | 4.9167 | 236 | 0.9611 | 0.2340 | 0.9611 | 0.9803 |
| No log | 4.9583 | 238 | 0.6890 | 0.3719 | 0.6890 | 0.8301 |
| No log | 5.0 | 240 | 0.5990 | 0.3665 | 0.5990 | 0.7739 |
| No log | 5.0417 | 242 | 0.6114 | 0.3247 | 0.6114 | 0.7819 |
| No log | 5.0833 | 244 | 0.8652 | 0.3429 | 0.8652 | 0.9301 |
| No log | 5.125 | 246 | 1.3673 | 0.0933 | 1.3673 | 1.1693 |
| No log | 5.1667 | 248 | 1.2876 | 0.1186 | 1.2876 | 1.1347 |
| No log | 5.2083 | 250 | 0.8043 | 0.2959 | 0.8043 | 0.8968 |
| No log | 5.25 | 252 | 0.5253 | 0.3892 | 0.5253 | 0.7248 |
| No log | 5.2917 | 254 | 0.5234 | 0.3508 | 0.5234 | 0.7235 |
| No log | 5.3333 | 256 | 0.5210 | 0.4043 | 0.5210 | 0.7218 |
| No log | 5.375 | 258 | 0.6754 | 0.3080 | 0.6754 | 0.8218 |
| No log | 5.4167 | 260 | 0.7545 | 0.2248 | 0.7545 | 0.8686 |
| No log | 5.4583 | 262 | 0.5987 | 0.4286 | 0.5987 | 0.7737 |
| No log | 5.5 | 264 | 0.4955 | 0.4098 | 0.4955 | 0.7039 |
| No log | 5.5417 | 266 | 0.4999 | 0.4595 | 0.4999 | 0.7071 |
| No log | 5.5833 | 268 | 0.5513 | 0.4286 | 0.5513 | 0.7425 |
| No log | 5.625 | 270 | 0.6513 | 0.3414 | 0.6513 | 0.8070 |
| No log | 5.6667 | 272 | 0.6431 | 0.3414 | 0.6431 | 0.8019 |
| No log | 5.7083 | 274 | 0.5911 | 0.3846 | 0.5911 | 0.7688 |
| No log | 5.75 | 276 | 0.5634 | 0.3833 | 0.5634 | 0.7506 |
| No log | 5.7917 | 278 | 0.5754 | 0.3929 | 0.5754 | 0.7585 |
| No log | 5.8333 | 280 | 0.6441 | 0.3388 | 0.6441 | 0.8026 |
| No log | 5.875 | 282 | 0.7140 | 0.3359 | 0.7140 | 0.8450 |
| No log | 5.9167 | 284 | 0.5750 | 0.4341 | 0.5750 | 0.7583 |
| No log | 5.9583 | 286 | 0.5227 | 0.4563 | 0.5227 | 0.7230 |
| No log | 6.0 | 288 | 0.4535 | 0.4098 | 0.4535 | 0.6735 |
| No log | 6.0417 | 290 | 0.4565 | 0.4583 | 0.4565 | 0.6757 |
| No log | 6.0833 | 292 | 0.4733 | 0.4462 | 0.4733 | 0.6880 |
| No log | 6.125 | 294 | 0.6607 | 0.3016 | 0.6607 | 0.8128 |
| No log | 6.1667 | 296 | 0.8082 | 0.3309 | 0.8082 | 0.8990 |
| No log | 6.2083 | 298 | 0.6953 | 0.3359 | 0.6953 | 0.8338 |
| No log | 6.25 | 300 | 0.5428 | 0.5468 | 0.5428 | 0.7368 |
| No log | 6.2917 | 302 | 0.4609 | 0.4462 | 0.4609 | 0.6789 |
| No log | 6.3333 | 304 | 0.4532 | 0.4098 | 0.4532 | 0.6732 |
| No log | 6.375 | 306 | 0.4809 | 0.4462 | 0.4809 | 0.6934 |
| No log | 6.4167 | 308 | 0.5815 | 0.4286 | 0.5815 | 0.7626 |
| No log | 6.4583 | 310 | 0.6703 | 0.3080 | 0.6703 | 0.8187 |
| No log | 6.5 | 312 | 0.6535 | 0.3874 | 0.6535 | 0.8084 |
| No log | 6.5417 | 314 | 0.6452 | 0.3874 | 0.6452 | 0.8032 |
| No log | 6.5833 | 316 | 0.5900 | 0.4495 | 0.5900 | 0.7681 |
| No log | 6.625 | 318 | 0.5184 | 0.48 | 0.5184 | 0.7200 |
| No log | 6.6667 | 320 | 0.4946 | 0.48 | 0.4946 | 0.7033 |
| No log | 6.7083 | 322 | 0.5293 | 0.5102 | 0.5293 | 0.7276 |
| No log | 6.75 | 324 | 0.6334 | 0.3874 | 0.6334 | 0.7959 |
| No log | 6.7917 | 326 | 0.6839 | 0.2863 | 0.6839 | 0.8270 |
| No log | 6.8333 | 328 | 0.6079 | 0.3645 | 0.6079 | 0.7797 |
| No log | 6.875 | 330 | 0.4950 | 0.5847 | 0.4950 | 0.7036 |
| No log | 6.9167 | 332 | 0.4595 | 0.4419 | 0.4595 | 0.6779 |
| No log | 6.9583 | 334 | 0.4573 | 0.3295 | 0.4573 | 0.6762 |
| No log | 7.0 | 336 | 0.4608 | 0.4419 | 0.4608 | 0.6788 |
| No log | 7.0417 | 338 | 0.5178 | 0.5233 | 0.5178 | 0.7196 |
| No log | 7.0833 | 340 | 0.5917 | 0.3917 | 0.5917 | 0.7692 |
| No log | 7.125 | 342 | 0.5579 | 0.4554 | 0.5579 | 0.7469 |
| No log | 7.1667 | 344 | 0.5357 | 0.5468 | 0.5357 | 0.7319 |
| No log | 7.2083 | 346 | 0.5726 | 0.4495 | 0.5726 | 0.7567 |
| No log | 7.25 | 348 | 0.6419 | 0.3388 | 0.6419 | 0.8012 |
| No log | 7.2917 | 350 | 0.5903 | 0.4495 | 0.5903 | 0.7683 |
| No log | 7.3333 | 352 | 0.5295 | 0.5294 | 0.5295 | 0.7276 |
| No log | 7.375 | 354 | 0.4902 | 0.5330 | 0.4902 | 0.7001 |
| No log | 7.4167 | 356 | 0.5008 | 0.5464 | 0.5008 | 0.7077 |
| No log | 7.4583 | 358 | 0.5485 | 0.5556 | 0.5485 | 0.7406 |
| No log | 7.5 | 360 | 0.5836 | 0.4924 | 0.5836 | 0.7639 |
| No log | 7.5417 | 362 | 0.5489 | 0.5282 | 0.5489 | 0.7409 |
| No log | 7.5833 | 364 | 0.5545 | 0.5 | 0.5545 | 0.7447 |
| No log | 7.625 | 366 | 0.6125 | 0.4171 | 0.6125 | 0.7826 |
| No log | 7.6667 | 368 | 0.7075 | 0.2520 | 0.7075 | 0.8411 |
| No log | 7.7083 | 370 | 0.7805 | 0.2248 | 0.7805 | 0.8835 |
| No log | 7.75 | 372 | 0.7617 | 0.25 | 0.7617 | 0.8727 |
| No log | 7.7917 | 374 | 0.6370 | 0.4138 | 0.6370 | 0.7981 |
| No log | 7.8333 | 376 | 0.5402 | 0.4902 | 0.5402 | 0.7350 |
| No log | 7.875 | 378 | 0.5028 | 0.4043 | 0.5028 | 0.7091 |
| No log | 7.9167 | 380 | 0.5173 | 0.4162 | 0.5173 | 0.7192 |
| No log | 7.9583 | 382 | 0.5308 | 0.4573 | 0.5308 | 0.7285 |
| No log | 8.0 | 384 | 0.5796 | 0.5074 | 0.5796 | 0.7613 |
| No log | 8.0417 | 386 | 0.6937 | 0.3414 | 0.6937 | 0.8329 |
| No log | 8.0833 | 388 | 0.7202 | 0.3414 | 0.7202 | 0.8487 |
| No log | 8.125 | 390 | 0.6654 | 0.3846 | 0.6654 | 0.8157 |
| No log | 8.1667 | 392 | 0.5703 | 0.4872 | 0.5703 | 0.7552 |
| No log | 8.2083 | 394 | 0.5398 | 0.5183 | 0.5398 | 0.7347 |
| No log | 8.25 | 396 | 0.5416 | 0.5648 | 0.5416 | 0.7359 |
| No log | 8.2917 | 398 | 0.5530 | 0.4872 | 0.5530 | 0.7437 |
| No log | 8.3333 | 400 | 0.6103 | 0.3725 | 0.6103 | 0.7812 |
| No log | 8.375 | 402 | 0.6743 | 0.3473 | 0.6743 | 0.8212 |
| No log | 8.4167 | 404 | 0.7086 | 0.2863 | 0.7086 | 0.8418 |
| No log | 8.4583 | 406 | 0.6642 | 0.3504 | 0.6642 | 0.8150 |
| No log | 8.5 | 408 | 0.6053 | 0.4171 | 0.6053 | 0.7780 |
| No log | 8.5417 | 410 | 0.5589 | 0.4872 | 0.5589 | 0.7476 |
| No log | 8.5833 | 412 | 0.5109 | 0.5602 | 0.5109 | 0.7148 |
| No log | 8.625 | 414 | 0.4987 | 0.5359 | 0.4987 | 0.7062 |
| No log | 8.6667 | 416 | 0.5087 | 0.5602 | 0.5087 | 0.7133 |
| No log | 8.7083 | 418 | 0.5321 | 0.5648 | 0.5321 | 0.7294 |
| No log | 8.75 | 420 | 0.5606 | 0.4872 | 0.5606 | 0.7488 |
| No log | 8.7917 | 422 | 0.5786 | 0.48 | 0.5786 | 0.7606 |
| No log | 8.8333 | 424 | 0.5958 | 0.4171 | 0.5958 | 0.7719 |
| No log | 8.875 | 426 | 0.6180 | 0.4019 | 0.6180 | 0.7861 |
| No log | 8.9167 | 428 | 0.6381 | 0.3929 | 0.6381 | 0.7988 |
| No log | 8.9583 | 430 | 0.6190 | 0.4019 | 0.6190 | 0.7867 |
| No log | 9.0 | 432 | 0.6106 | 0.3684 | 0.6106 | 0.7814 |
| No log | 9.0417 | 434 | 0.6001 | 0.4396 | 0.6001 | 0.7746 |
| No log | 9.0833 | 436 | 0.5923 | 0.4930 | 0.5923 | 0.7696 |
| No log | 9.125 | 438 | 0.5835 | 0.5 | 0.5835 | 0.7639 |
| No log | 9.1667 | 440 | 0.5953 | 0.4930 | 0.5953 | 0.7716 |
| No log | 9.2083 | 442 | 0.5998 | 0.4930 | 0.5998 | 0.7745 |
| No log | 9.25 | 444 | 0.5766 | 0.4882 | 0.5766 | 0.7594 |
| No log | 9.2917 | 446 | 0.5634 | 0.4882 | 0.5634 | 0.7506 |
| No log | 9.3333 | 448 | 0.5696 | 0.4882 | 0.5696 | 0.7547 |
| No log | 9.375 | 450 | 0.5875 | 0.4930 | 0.5875 | 0.7665 |
| No log | 9.4167 | 452 | 0.6028 | 0.4930 | 0.6028 | 0.7764 |
| No log | 9.4583 | 454 | 0.6129 | 0.4930 | 0.6129 | 0.7829 |
| No log | 9.5 | 456 | 0.6161 | 0.4667 | 0.6161 | 0.7849 |
| No log | 9.5417 | 458 | 0.6138 | 0.4667 | 0.6138 | 0.7834 |
| No log | 9.5833 | 460 | 0.6035 | 0.4930 | 0.6035 | 0.7768 |
| No log | 9.625 | 462 | 0.5851 | 0.5 | 0.5851 | 0.7649 |
| No log | 9.6667 | 464 | 0.5725 | 0.5 | 0.5725 | 0.7567 |
| No log | 9.7083 | 466 | 0.5683 | 0.4882 | 0.5683 | 0.7539 |
| No log | 9.75 | 468 | 0.5698 | 0.4882 | 0.5698 | 0.7549 |
| No log | 9.7917 | 470 | 0.5694 | 0.4882 | 0.5694 | 0.7546 |
| No log | 9.8333 | 472 | 0.5764 | 0.5 | 0.5764 | 0.7592 |
| No log | 9.875 | 474 | 0.5860 | 0.5 | 0.5860 | 0.7655 |
| No log | 9.9167 | 476 | 0.5936 | 0.5 | 0.5936 | 0.7705 |
| No log | 9.9583 | 478 | 0.5974 | 0.4930 | 0.5974 | 0.7729 |
| No log | 10.0 | 480 | 0.5985 | 0.4930 | 0.5985 | 0.7736 |
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_run3_AugV5_k10_task3_organization
Base model
aubmindlab/bert-base-arabertv02