Instructions to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k14_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k14_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k14_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k14_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k14_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k14_task5_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: 0.5953
- Qwk: 0.7709
- Mse: 0.5953
- Rmse: 0.7716
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 | 0.0357 | 2 | 2.2233 | 0.0214 | 2.2233 | 1.4911 |
| No log | 0.0714 | 4 | 1.4594 | 0.1887 | 1.4594 | 1.2081 |
| No log | 0.1071 | 6 | 1.2668 | 0.2605 | 1.2668 | 1.1255 |
| No log | 0.1429 | 8 | 1.4047 | 0.3868 | 1.4047 | 1.1852 |
| No log | 0.1786 | 10 | 1.5808 | 0.3404 | 1.5808 | 1.2573 |
| No log | 0.2143 | 12 | 1.7868 | 0.3119 | 1.7868 | 1.3367 |
| No log | 0.25 | 14 | 1.4740 | 0.3462 | 1.4740 | 1.2141 |
| No log | 0.2857 | 16 | 1.2760 | 0.3002 | 1.2760 | 1.1296 |
| No log | 0.3214 | 18 | 1.2178 | 0.3217 | 1.2178 | 1.1035 |
| No log | 0.3571 | 20 | 1.1503 | 0.3745 | 1.1503 | 1.0725 |
| No log | 0.3929 | 22 | 1.0628 | 0.4474 | 1.0628 | 1.0309 |
| No log | 0.4286 | 24 | 1.0386 | 0.4602 | 1.0386 | 1.0191 |
| No log | 0.4643 | 26 | 1.0421 | 0.4967 | 1.0421 | 1.0208 |
| No log | 0.5 | 28 | 0.9879 | 0.5162 | 0.9879 | 0.9940 |
| No log | 0.5357 | 30 | 0.8723 | 0.5747 | 0.8723 | 0.9340 |
| No log | 0.5714 | 32 | 1.0266 | 0.4490 | 1.0266 | 1.0132 |
| No log | 0.6071 | 34 | 1.2731 | 0.3382 | 1.2731 | 1.1283 |
| No log | 0.6429 | 36 | 1.0743 | 0.4601 | 1.0743 | 1.0365 |
| No log | 0.6786 | 38 | 0.8028 | 0.5964 | 0.8028 | 0.8960 |
| No log | 0.7143 | 40 | 0.8717 | 0.5781 | 0.8717 | 0.9337 |
| No log | 0.75 | 42 | 0.8844 | 0.5756 | 0.8844 | 0.9404 |
| No log | 0.7857 | 44 | 0.7934 | 0.6258 | 0.7934 | 0.8907 |
| No log | 0.8214 | 46 | 0.8094 | 0.5846 | 0.8094 | 0.8997 |
| No log | 0.8571 | 48 | 0.8540 | 0.5148 | 0.8540 | 0.9241 |
| No log | 0.8929 | 50 | 0.8310 | 0.5838 | 0.8310 | 0.9116 |
| No log | 0.9286 | 52 | 0.8880 | 0.5770 | 0.8880 | 0.9423 |
| No log | 0.9643 | 54 | 0.9601 | 0.5664 | 0.9601 | 0.9798 |
| No log | 1.0 | 56 | 0.9328 | 0.5714 | 0.9328 | 0.9658 |
| No log | 1.0357 | 58 | 0.8607 | 0.5417 | 0.8607 | 0.9278 |
| No log | 1.0714 | 60 | 0.8138 | 0.5752 | 0.8138 | 0.9021 |
| No log | 1.1071 | 62 | 0.8064 | 0.6540 | 0.8064 | 0.8980 |
| No log | 1.1429 | 64 | 0.7578 | 0.6809 | 0.7578 | 0.8705 |
| No log | 1.1786 | 66 | 0.7140 | 0.6370 | 0.7140 | 0.8450 |
| No log | 1.2143 | 68 | 0.7078 | 0.6505 | 0.7078 | 0.8413 |
| No log | 1.25 | 70 | 0.6604 | 0.7315 | 0.6604 | 0.8127 |
| No log | 1.2857 | 72 | 0.7613 | 0.7105 | 0.7613 | 0.8725 |
| No log | 1.3214 | 74 | 0.7052 | 0.7048 | 0.7052 | 0.8398 |
| No log | 1.3571 | 76 | 0.6464 | 0.7368 | 0.6464 | 0.8040 |
| No log | 1.3929 | 78 | 0.6544 | 0.7268 | 0.6544 | 0.8089 |
| No log | 1.4286 | 80 | 0.7740 | 0.6796 | 0.7740 | 0.8798 |
| No log | 1.4643 | 82 | 1.2725 | 0.5993 | 1.2725 | 1.1280 |
| No log | 1.5 | 84 | 1.3605 | 0.5720 | 1.3605 | 1.1664 |
| No log | 1.5357 | 86 | 1.0149 | 0.6149 | 1.0149 | 1.0074 |
| No log | 1.5714 | 88 | 0.7680 | 0.6877 | 0.7680 | 0.8764 |
| No log | 1.6071 | 90 | 0.7382 | 0.6561 | 0.7382 | 0.8592 |
| No log | 1.6429 | 92 | 0.7528 | 0.6678 | 0.7528 | 0.8677 |
| No log | 1.6786 | 94 | 0.9237 | 0.6636 | 0.9237 | 0.9611 |
| No log | 1.7143 | 96 | 1.1971 | 0.5935 | 1.1971 | 1.0941 |
| No log | 1.75 | 98 | 1.4527 | 0.5889 | 1.4527 | 1.2053 |
| No log | 1.7857 | 100 | 1.3225 | 0.6096 | 1.3225 | 1.1500 |
| No log | 1.8214 | 102 | 0.8910 | 0.6875 | 0.8910 | 0.9439 |
| No log | 1.8571 | 104 | 0.6579 | 0.7195 | 0.6579 | 0.8111 |
| No log | 1.8929 | 106 | 0.6219 | 0.7056 | 0.6219 | 0.7886 |
| No log | 1.9286 | 108 | 0.6336 | 0.7300 | 0.6336 | 0.7960 |
| No log | 1.9643 | 110 | 0.8048 | 0.7090 | 0.8048 | 0.8971 |
| No log | 2.0 | 112 | 0.9938 | 0.6547 | 0.9938 | 0.9969 |
| No log | 2.0357 | 114 | 1.0583 | 0.6356 | 1.0583 | 1.0287 |
| No log | 2.0714 | 116 | 0.9653 | 0.6540 | 0.9653 | 0.9825 |
| No log | 2.1071 | 118 | 0.7166 | 0.7519 | 0.7166 | 0.8465 |
| No log | 2.1429 | 120 | 0.6181 | 0.6849 | 0.6181 | 0.7862 |
| No log | 2.1786 | 122 | 0.6532 | 0.6824 | 0.6532 | 0.8082 |
| No log | 2.2143 | 124 | 0.6239 | 0.6610 | 0.6239 | 0.7899 |
| No log | 2.25 | 126 | 0.6189 | 0.7506 | 0.6189 | 0.7867 |
| No log | 2.2857 | 128 | 0.7499 | 0.7324 | 0.7499 | 0.8660 |
| No log | 2.3214 | 130 | 1.0212 | 0.6616 | 1.0212 | 1.0105 |
| No log | 2.3571 | 132 | 1.1422 | 0.6118 | 1.1422 | 1.0687 |
| No log | 2.3929 | 134 | 1.0222 | 0.6319 | 1.0222 | 1.0110 |
| No log | 2.4286 | 136 | 0.8188 | 0.6911 | 0.8188 | 0.9049 |
| No log | 2.4643 | 138 | 0.7706 | 0.6876 | 0.7706 | 0.8778 |
| No log | 2.5 | 140 | 0.7272 | 0.7184 | 0.7272 | 0.8528 |
| No log | 2.5357 | 142 | 0.7689 | 0.7152 | 0.7689 | 0.8769 |
| No log | 2.5714 | 144 | 0.8396 | 0.7125 | 0.8396 | 0.9163 |
| No log | 2.6071 | 146 | 0.8716 | 0.7221 | 0.8716 | 0.9336 |
| No log | 2.6429 | 148 | 0.8582 | 0.7195 | 0.8582 | 0.9264 |
| No log | 2.6786 | 150 | 0.7477 | 0.7499 | 0.7477 | 0.8647 |
| No log | 2.7143 | 152 | 0.6567 | 0.7733 | 0.6567 | 0.8104 |
| No log | 2.75 | 154 | 0.6396 | 0.7751 | 0.6396 | 0.7998 |
| No log | 2.7857 | 156 | 0.6523 | 0.7747 | 0.6523 | 0.8077 |
| No log | 2.8214 | 158 | 0.6589 | 0.7678 | 0.6589 | 0.8118 |
| No log | 2.8571 | 160 | 0.6160 | 0.7336 | 0.6160 | 0.7849 |
| No log | 2.8929 | 162 | 0.6125 | 0.7213 | 0.6125 | 0.7826 |
| No log | 2.9286 | 164 | 0.6656 | 0.7672 | 0.6656 | 0.8159 |
| No log | 2.9643 | 166 | 0.7246 | 0.7598 | 0.7246 | 0.8512 |
| No log | 3.0 | 168 | 0.7096 | 0.7639 | 0.7096 | 0.8424 |
| No log | 3.0357 | 170 | 0.7417 | 0.7553 | 0.7417 | 0.8612 |
| No log | 3.0714 | 172 | 0.7111 | 0.7549 | 0.7111 | 0.8433 |
| No log | 3.1071 | 174 | 0.6669 | 0.7580 | 0.6669 | 0.8166 |
| No log | 3.1429 | 176 | 0.6827 | 0.7422 | 0.6827 | 0.8263 |
| No log | 3.1786 | 178 | 0.7199 | 0.7656 | 0.7199 | 0.8485 |
| No log | 3.2143 | 180 | 0.8606 | 0.7101 | 0.8606 | 0.9277 |
| No log | 3.25 | 182 | 0.9589 | 0.6586 | 0.9589 | 0.9792 |
| No log | 3.2857 | 184 | 0.9182 | 0.7093 | 0.9182 | 0.9582 |
| No log | 3.3214 | 186 | 0.7757 | 0.7154 | 0.7757 | 0.8808 |
| No log | 3.3571 | 188 | 0.6852 | 0.7532 | 0.6852 | 0.8278 |
| No log | 3.3929 | 190 | 0.6659 | 0.7495 | 0.6659 | 0.8160 |
| No log | 3.4286 | 192 | 0.7138 | 0.7349 | 0.7138 | 0.8449 |
| No log | 3.4643 | 194 | 0.8130 | 0.7125 | 0.8130 | 0.9017 |
| No log | 3.5 | 196 | 0.9401 | 0.6573 | 0.9401 | 0.9696 |
| No log | 3.5357 | 198 | 1.0461 | 0.6019 | 1.0461 | 1.0228 |
| No log | 3.5714 | 200 | 1.0435 | 0.6214 | 1.0435 | 1.0215 |
| No log | 3.6071 | 202 | 0.9953 | 0.6367 | 0.9953 | 0.9976 |
| No log | 3.6429 | 204 | 0.9285 | 0.6788 | 0.9285 | 0.9636 |
| No log | 3.6786 | 206 | 0.8391 | 0.7097 | 0.8391 | 0.9160 |
| No log | 3.7143 | 208 | 0.8268 | 0.7063 | 0.8268 | 0.9093 |
| No log | 3.75 | 210 | 0.8550 | 0.7059 | 0.8550 | 0.9247 |
| No log | 3.7857 | 212 | 0.8202 | 0.7095 | 0.8202 | 0.9056 |
| No log | 3.8214 | 214 | 0.7339 | 0.7325 | 0.7339 | 0.8567 |
| No log | 3.8571 | 216 | 0.6677 | 0.7338 | 0.6677 | 0.8171 |
| No log | 3.8929 | 218 | 0.6543 | 0.7183 | 0.6543 | 0.8089 |
| No log | 3.9286 | 220 | 0.6874 | 0.7246 | 0.6874 | 0.8291 |
| No log | 3.9643 | 222 | 0.7823 | 0.7164 | 0.7823 | 0.8845 |
| No log | 4.0 | 224 | 0.8974 | 0.6933 | 0.8974 | 0.9473 |
| No log | 4.0357 | 226 | 0.8276 | 0.7096 | 0.8276 | 0.9097 |
| No log | 4.0714 | 228 | 0.6833 | 0.7369 | 0.6833 | 0.8266 |
| No log | 4.1071 | 230 | 0.6291 | 0.7139 | 0.6291 | 0.7931 |
| No log | 4.1429 | 232 | 0.6255 | 0.7291 | 0.6255 | 0.7909 |
| No log | 4.1786 | 234 | 0.6555 | 0.7332 | 0.6555 | 0.8096 |
| No log | 4.2143 | 236 | 0.8149 | 0.7160 | 0.8149 | 0.9027 |
| No log | 4.25 | 238 | 1.0813 | 0.6493 | 1.0813 | 1.0398 |
| No log | 4.2857 | 240 | 1.1444 | 0.6293 | 1.1444 | 1.0698 |
| No log | 4.3214 | 242 | 1.0069 | 0.6773 | 1.0069 | 1.0034 |
| No log | 4.3571 | 244 | 0.7921 | 0.7199 | 0.7921 | 0.8900 |
| No log | 4.3929 | 246 | 0.6471 | 0.7511 | 0.6471 | 0.8044 |
| No log | 4.4286 | 248 | 0.6232 | 0.7315 | 0.6232 | 0.7895 |
| No log | 4.4643 | 250 | 0.6322 | 0.7553 | 0.6322 | 0.7951 |
| No log | 4.5 | 252 | 0.7206 | 0.7309 | 0.7206 | 0.8489 |
| No log | 4.5357 | 254 | 0.8289 | 0.7295 | 0.8289 | 0.9104 |
| No log | 4.5714 | 256 | 0.8258 | 0.7393 | 0.8258 | 0.9087 |
| No log | 4.6071 | 258 | 0.7356 | 0.7287 | 0.7356 | 0.8577 |
| No log | 4.6429 | 260 | 0.7008 | 0.7417 | 0.7008 | 0.8371 |
| No log | 4.6786 | 262 | 0.7087 | 0.7410 | 0.7087 | 0.8419 |
| No log | 4.7143 | 264 | 0.6976 | 0.7272 | 0.6976 | 0.8352 |
| No log | 4.75 | 266 | 0.6958 | 0.7309 | 0.6958 | 0.8341 |
| No log | 4.7857 | 268 | 0.7255 | 0.7402 | 0.7255 | 0.8518 |
| No log | 4.8214 | 270 | 0.7700 | 0.7353 | 0.7700 | 0.8775 |
| No log | 4.8571 | 272 | 0.8263 | 0.7171 | 0.8263 | 0.9090 |
| No log | 4.8929 | 274 | 0.8306 | 0.7226 | 0.8306 | 0.9114 |
| No log | 4.9286 | 276 | 0.7818 | 0.7188 | 0.7818 | 0.8842 |
| No log | 4.9643 | 278 | 0.8130 | 0.7089 | 0.8130 | 0.9017 |
| No log | 5.0 | 280 | 0.8216 | 0.7105 | 0.8216 | 0.9064 |
| No log | 5.0357 | 282 | 0.7984 | 0.7168 | 0.7984 | 0.8935 |
| No log | 5.0714 | 284 | 0.6948 | 0.7587 | 0.6948 | 0.8335 |
| No log | 5.1071 | 286 | 0.6315 | 0.7661 | 0.6315 | 0.7947 |
| No log | 5.1429 | 288 | 0.6079 | 0.7728 | 0.6079 | 0.7797 |
| No log | 5.1786 | 290 | 0.6165 | 0.7654 | 0.6165 | 0.7852 |
| No log | 5.2143 | 292 | 0.6643 | 0.7663 | 0.6643 | 0.8150 |
| No log | 5.25 | 294 | 0.6841 | 0.7558 | 0.6841 | 0.8271 |
| No log | 5.2857 | 296 | 0.6779 | 0.7652 | 0.6779 | 0.8234 |
| No log | 5.3214 | 298 | 0.6830 | 0.7583 | 0.6830 | 0.8264 |
| No log | 5.3571 | 300 | 0.6767 | 0.7560 | 0.6767 | 0.8226 |
| No log | 5.3929 | 302 | 0.6147 | 0.7440 | 0.6147 | 0.7841 |
| No log | 5.4286 | 304 | 0.6014 | 0.7427 | 0.6014 | 0.7755 |
| No log | 5.4643 | 306 | 0.6383 | 0.7393 | 0.6383 | 0.7989 |
| No log | 5.5 | 308 | 0.7404 | 0.7331 | 0.7404 | 0.8605 |
| No log | 5.5357 | 310 | 0.7990 | 0.7003 | 0.7990 | 0.8938 |
| No log | 5.5714 | 312 | 0.7552 | 0.7409 | 0.7552 | 0.8690 |
| No log | 5.6071 | 314 | 0.6730 | 0.7629 | 0.6730 | 0.8204 |
| No log | 5.6429 | 316 | 0.6350 | 0.7513 | 0.6350 | 0.7969 |
| No log | 5.6786 | 318 | 0.6219 | 0.7513 | 0.6219 | 0.7886 |
| No log | 5.7143 | 320 | 0.6127 | 0.7568 | 0.6127 | 0.7827 |
| No log | 5.75 | 322 | 0.5961 | 0.7702 | 0.5961 | 0.7721 |
| No log | 5.7857 | 324 | 0.5877 | 0.7812 | 0.5877 | 0.7666 |
| No log | 5.8214 | 326 | 0.5773 | 0.7757 | 0.5773 | 0.7598 |
| No log | 5.8571 | 328 | 0.5553 | 0.7335 | 0.5553 | 0.7452 |
| No log | 5.8929 | 330 | 0.5551 | 0.7375 | 0.5551 | 0.7451 |
| No log | 5.9286 | 332 | 0.5733 | 0.7503 | 0.5733 | 0.7572 |
| No log | 5.9643 | 334 | 0.6104 | 0.7519 | 0.6104 | 0.7813 |
| No log | 6.0 | 336 | 0.6364 | 0.7439 | 0.6364 | 0.7977 |
| No log | 6.0357 | 338 | 0.6969 | 0.7540 | 0.6969 | 0.8348 |
| No log | 6.0714 | 340 | 0.7155 | 0.7418 | 0.7155 | 0.8459 |
| No log | 6.1071 | 342 | 0.6759 | 0.7490 | 0.6759 | 0.8222 |
| No log | 6.1429 | 344 | 0.6219 | 0.7415 | 0.6219 | 0.7886 |
| No log | 6.1786 | 346 | 0.5971 | 0.7574 | 0.5971 | 0.7727 |
| No log | 6.2143 | 348 | 0.5976 | 0.7696 | 0.5976 | 0.7730 |
| No log | 6.25 | 350 | 0.6409 | 0.7382 | 0.6409 | 0.8006 |
| No log | 6.2857 | 352 | 0.7142 | 0.7517 | 0.7142 | 0.8451 |
| No log | 6.3214 | 354 | 0.7575 | 0.7508 | 0.7575 | 0.8704 |
| No log | 6.3571 | 356 | 0.7284 | 0.7548 | 0.7284 | 0.8535 |
| No log | 6.3929 | 358 | 0.6679 | 0.7507 | 0.6679 | 0.8173 |
| No log | 6.4286 | 360 | 0.6247 | 0.7728 | 0.6247 | 0.7904 |
| No log | 6.4643 | 362 | 0.5871 | 0.7709 | 0.5871 | 0.7662 |
| No log | 6.5 | 364 | 0.5866 | 0.7553 | 0.5866 | 0.7659 |
| No log | 6.5357 | 366 | 0.6006 | 0.7678 | 0.6006 | 0.7750 |
| No log | 6.5714 | 368 | 0.6395 | 0.7613 | 0.6395 | 0.7997 |
| No log | 6.6071 | 370 | 0.6521 | 0.7510 | 0.6521 | 0.8075 |
| No log | 6.6429 | 372 | 0.6709 | 0.7429 | 0.6709 | 0.8191 |
| No log | 6.6786 | 374 | 0.6616 | 0.7545 | 0.6616 | 0.8134 |
| No log | 6.7143 | 376 | 0.6559 | 0.7551 | 0.6559 | 0.8099 |
| No log | 6.75 | 378 | 0.6312 | 0.7620 | 0.6312 | 0.7945 |
| No log | 6.7857 | 380 | 0.6494 | 0.7633 | 0.6494 | 0.8058 |
| No log | 6.8214 | 382 | 0.7066 | 0.7634 | 0.7066 | 0.8406 |
| No log | 6.8571 | 384 | 0.7616 | 0.7391 | 0.7616 | 0.8727 |
| No log | 6.8929 | 386 | 0.7516 | 0.7413 | 0.7516 | 0.8670 |
| No log | 6.9286 | 388 | 0.7202 | 0.7413 | 0.7202 | 0.8486 |
| No log | 6.9643 | 390 | 0.6630 | 0.7468 | 0.6630 | 0.8143 |
| No log | 7.0 | 392 | 0.6001 | 0.7501 | 0.6001 | 0.7747 |
| No log | 7.0357 | 394 | 0.5774 | 0.7776 | 0.5774 | 0.7599 |
| No log | 7.0714 | 396 | 0.5798 | 0.7690 | 0.5798 | 0.7614 |
| No log | 7.1071 | 398 | 0.6036 | 0.7678 | 0.6036 | 0.7769 |
| No log | 7.1429 | 400 | 0.6428 | 0.7639 | 0.6428 | 0.8017 |
| No log | 7.1786 | 402 | 0.6764 | 0.7523 | 0.6764 | 0.8225 |
| No log | 7.2143 | 404 | 0.6925 | 0.7536 | 0.6925 | 0.8322 |
| No log | 7.25 | 406 | 0.6883 | 0.7536 | 0.6883 | 0.8296 |
| No log | 7.2857 | 408 | 0.6557 | 0.7668 | 0.6557 | 0.8098 |
| No log | 7.3214 | 410 | 0.6253 | 0.7547 | 0.6253 | 0.7908 |
| No log | 7.3571 | 412 | 0.5932 | 0.7678 | 0.5932 | 0.7702 |
| No log | 7.3929 | 414 | 0.5791 | 0.7733 | 0.5791 | 0.7610 |
| No log | 7.4286 | 416 | 0.5941 | 0.7501 | 0.5941 | 0.7707 |
| No log | 7.4643 | 418 | 0.6291 | 0.7558 | 0.6291 | 0.7932 |
| No log | 7.5 | 420 | 0.6569 | 0.7501 | 0.6569 | 0.8105 |
| No log | 7.5357 | 422 | 0.6897 | 0.7414 | 0.6897 | 0.8305 |
| No log | 7.5714 | 424 | 0.6864 | 0.7414 | 0.6864 | 0.8285 |
| No log | 7.6071 | 426 | 0.6717 | 0.7456 | 0.6717 | 0.8196 |
| No log | 7.6429 | 428 | 0.6568 | 0.7537 | 0.6568 | 0.8104 |
| No log | 7.6786 | 430 | 0.6252 | 0.7747 | 0.6252 | 0.7907 |
| No log | 7.7143 | 432 | 0.6009 | 0.7833 | 0.6009 | 0.7752 |
| No log | 7.75 | 434 | 0.5987 | 0.7795 | 0.5987 | 0.7738 |
| No log | 7.7857 | 436 | 0.6208 | 0.7845 | 0.6208 | 0.7879 |
| No log | 7.8214 | 438 | 0.6458 | 0.7650 | 0.6458 | 0.8036 |
| No log | 7.8571 | 440 | 0.6678 | 0.7603 | 0.6678 | 0.8172 |
| No log | 7.8929 | 442 | 0.6746 | 0.7462 | 0.6746 | 0.8214 |
| No log | 7.9286 | 444 | 0.6783 | 0.7517 | 0.6783 | 0.8236 |
| No log | 7.9643 | 446 | 0.7081 | 0.7571 | 0.7081 | 0.8415 |
| No log | 8.0 | 448 | 0.7188 | 0.7432 | 0.7188 | 0.8478 |
| No log | 8.0357 | 450 | 0.6970 | 0.7611 | 0.6970 | 0.8349 |
| No log | 8.0714 | 452 | 0.6595 | 0.7627 | 0.6595 | 0.8121 |
| No log | 8.1071 | 454 | 0.6201 | 0.7644 | 0.6201 | 0.7875 |
| No log | 8.1429 | 456 | 0.6032 | 0.7660 | 0.6032 | 0.7767 |
| No log | 8.1786 | 458 | 0.5906 | 0.7806 | 0.5906 | 0.7685 |
| No log | 8.2143 | 460 | 0.5827 | 0.7776 | 0.5827 | 0.7633 |
| No log | 8.25 | 462 | 0.5912 | 0.7690 | 0.5912 | 0.7689 |
| No log | 8.2857 | 464 | 0.5979 | 0.7585 | 0.5979 | 0.7733 |
| No log | 8.3214 | 466 | 0.6049 | 0.7635 | 0.6049 | 0.7777 |
| No log | 8.3571 | 468 | 0.6118 | 0.7592 | 0.6118 | 0.7822 |
| No log | 8.3929 | 470 | 0.6137 | 0.7592 | 0.6137 | 0.7834 |
| No log | 8.4286 | 472 | 0.6123 | 0.7592 | 0.6123 | 0.7825 |
| No log | 8.4643 | 474 | 0.6079 | 0.7592 | 0.6079 | 0.7797 |
| No log | 8.5 | 476 | 0.6049 | 0.7629 | 0.6049 | 0.7778 |
| No log | 8.5357 | 478 | 0.6117 | 0.7586 | 0.6117 | 0.7821 |
| No log | 8.5714 | 480 | 0.6072 | 0.7586 | 0.6072 | 0.7792 |
| No log | 8.6071 | 482 | 0.6106 | 0.7586 | 0.6106 | 0.7814 |
| No log | 8.6429 | 484 | 0.6234 | 0.7586 | 0.6234 | 0.7896 |
| No log | 8.6786 | 486 | 0.6358 | 0.7577 | 0.6358 | 0.7974 |
| No log | 8.7143 | 488 | 0.6342 | 0.7577 | 0.6342 | 0.7963 |
| No log | 8.75 | 490 | 0.6215 | 0.7661 | 0.6215 | 0.7884 |
| No log | 8.7857 | 492 | 0.6050 | 0.7629 | 0.6050 | 0.7778 |
| No log | 8.8214 | 494 | 0.5961 | 0.7635 | 0.5961 | 0.7721 |
| No log | 8.8571 | 496 | 0.5827 | 0.7561 | 0.5827 | 0.7634 |
| No log | 8.8929 | 498 | 0.5781 | 0.7561 | 0.5781 | 0.7603 |
| 0.3201 | 8.9286 | 500 | 0.5805 | 0.7598 | 0.5805 | 0.7619 |
| 0.3201 | 8.9643 | 502 | 0.5809 | 0.7598 | 0.5809 | 0.7622 |
| 0.3201 | 9.0 | 504 | 0.5840 | 0.7635 | 0.5840 | 0.7642 |
| 0.3201 | 9.0357 | 506 | 0.5850 | 0.7635 | 0.5850 | 0.7648 |
| 0.3201 | 9.0714 | 508 | 0.5929 | 0.7672 | 0.5929 | 0.7700 |
| 0.3201 | 9.1071 | 510 | 0.6037 | 0.7586 | 0.6037 | 0.7770 |
| 0.3201 | 9.1429 | 512 | 0.6060 | 0.7586 | 0.6060 | 0.7785 |
| 0.3201 | 9.1786 | 514 | 0.6111 | 0.7586 | 0.6111 | 0.7817 |
| 0.3201 | 9.2143 | 516 | 0.6083 | 0.7661 | 0.6083 | 0.7800 |
| 0.3201 | 9.25 | 518 | 0.6038 | 0.7746 | 0.6038 | 0.7770 |
| 0.3201 | 9.2857 | 520 | 0.5951 | 0.7635 | 0.5951 | 0.7714 |
| 0.3201 | 9.3214 | 522 | 0.5827 | 0.7598 | 0.5827 | 0.7634 |
| 0.3201 | 9.3571 | 524 | 0.5770 | 0.7622 | 0.5770 | 0.7596 |
| 0.3201 | 9.3929 | 526 | 0.5723 | 0.7622 | 0.5723 | 0.7565 |
| 0.3201 | 9.4286 | 528 | 0.5735 | 0.7622 | 0.5735 | 0.7573 |
| 0.3201 | 9.4643 | 530 | 0.5754 | 0.7598 | 0.5754 | 0.7585 |
| 0.3201 | 9.5 | 532 | 0.5758 | 0.7622 | 0.5758 | 0.7588 |
| 0.3201 | 9.5357 | 534 | 0.5780 | 0.7598 | 0.5780 | 0.7602 |
| 0.3201 | 9.5714 | 536 | 0.5805 | 0.7598 | 0.5805 | 0.7619 |
| 0.3201 | 9.6071 | 538 | 0.5830 | 0.7672 | 0.5830 | 0.7635 |
| 0.3201 | 9.6429 | 540 | 0.5839 | 0.7672 | 0.5839 | 0.7641 |
| 0.3201 | 9.6786 | 542 | 0.5884 | 0.7672 | 0.5884 | 0.7670 |
| 0.3201 | 9.7143 | 544 | 0.5926 | 0.7672 | 0.5926 | 0.7698 |
| 0.3201 | 9.75 | 546 | 0.5964 | 0.7709 | 0.5964 | 0.7723 |
| 0.3201 | 9.7857 | 548 | 0.5978 | 0.7709 | 0.5978 | 0.7732 |
| 0.3201 | 9.8214 | 550 | 0.5984 | 0.7709 | 0.5984 | 0.7736 |
| 0.3201 | 9.8571 | 552 | 0.5974 | 0.7709 | 0.5974 | 0.7729 |
| 0.3201 | 9.8929 | 554 | 0.5971 | 0.7709 | 0.5971 | 0.7727 |
| 0.3201 | 9.9286 | 556 | 0.5965 | 0.7709 | 0.5965 | 0.7723 |
| 0.3201 | 9.9643 | 558 | 0.5958 | 0.7709 | 0.5958 | 0.7719 |
| 0.3201 | 10.0 | 560 | 0.5953 | 0.7709 | 0.5953 | 0.7716 |
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_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k14_task5_organization
Base model
aubmindlab/bert-base-arabertv02