Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k13_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k13_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k13_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k13_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k13_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k13_task1_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: 0.7224
- Qwk: 0.7286
- Mse: 0.7224
- Rmse: 0.8499
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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0333 | 2 | 6.8324 | -0.0169 | 6.8324 | 2.6139 |
| No log | 0.0667 | 4 | 4.4510 | 0.0397 | 4.4510 | 2.1097 |
| No log | 0.1 | 6 | 3.2660 | 0.0460 | 3.2660 | 1.8072 |
| No log | 0.1333 | 8 | 2.5362 | 0.0533 | 2.5362 | 1.5925 |
| No log | 0.1667 | 10 | 2.0784 | 0.1871 | 2.0784 | 1.4417 |
| No log | 0.2 | 12 | 1.9006 | 0.1081 | 1.9006 | 1.3786 |
| No log | 0.2333 | 14 | 1.9117 | 0.1455 | 1.9117 | 1.3826 |
| No log | 0.2667 | 16 | 1.5758 | 0.2545 | 1.5758 | 1.2553 |
| No log | 0.3 | 18 | 1.4433 | 0.2735 | 1.4433 | 1.2014 |
| No log | 0.3333 | 20 | 2.2928 | 0.1528 | 2.2928 | 1.5142 |
| No log | 0.3667 | 22 | 2.2678 | 0.1389 | 2.2678 | 1.5059 |
| No log | 0.4 | 24 | 1.7736 | 0.3307 | 1.7736 | 1.3318 |
| No log | 0.4333 | 26 | 1.3818 | 0.2857 | 1.3818 | 1.1755 |
| No log | 0.4667 | 28 | 1.3965 | 0.2778 | 1.3965 | 1.1818 |
| No log | 0.5 | 30 | 1.4961 | 0.1905 | 1.4961 | 1.2231 |
| No log | 0.5333 | 32 | 1.4378 | 0.2778 | 1.4378 | 1.1991 |
| No log | 0.5667 | 34 | 1.4509 | 0.2759 | 1.4509 | 1.2046 |
| No log | 0.6 | 36 | 1.5056 | 0.272 | 1.5056 | 1.2270 |
| No log | 0.6333 | 38 | 1.4648 | 0.2857 | 1.4648 | 1.2103 |
| No log | 0.6667 | 40 | 1.3119 | 0.4427 | 1.3119 | 1.1454 |
| No log | 0.7 | 42 | 1.1427 | 0.5203 | 1.1427 | 1.0690 |
| No log | 0.7333 | 44 | 1.2601 | 0.3929 | 1.2601 | 1.1225 |
| No log | 0.7667 | 46 | 1.3875 | 0.4655 | 1.3875 | 1.1779 |
| No log | 0.8 | 48 | 1.2001 | 0.4874 | 1.2001 | 1.0955 |
| No log | 0.8333 | 50 | 1.0388 | 0.5909 | 1.0388 | 1.0192 |
| No log | 0.8667 | 52 | 1.1659 | 0.4928 | 1.1659 | 1.0798 |
| No log | 0.9 | 54 | 1.1605 | 0.5714 | 1.1605 | 1.0773 |
| No log | 0.9333 | 56 | 1.0542 | 0.6187 | 1.0542 | 1.0268 |
| No log | 0.9667 | 58 | 1.0281 | 0.6364 | 1.0281 | 1.0140 |
| No log | 1.0 | 60 | 1.2077 | 0.5156 | 1.2077 | 1.0990 |
| No log | 1.0333 | 62 | 1.6283 | 0.2833 | 1.6283 | 1.2760 |
| No log | 1.0667 | 64 | 1.3941 | 0.4531 | 1.3941 | 1.1807 |
| No log | 1.1 | 66 | 1.1115 | 0.5778 | 1.1115 | 1.0543 |
| No log | 1.1333 | 68 | 1.0983 | 0.5522 | 1.0983 | 1.0480 |
| No log | 1.1667 | 70 | 1.1648 | 0.5 | 1.1648 | 1.0792 |
| No log | 1.2 | 72 | 1.2024 | 0.5 | 1.2024 | 1.0965 |
| No log | 1.2333 | 74 | 1.1550 | 0.6099 | 1.1550 | 1.0747 |
| No log | 1.2667 | 76 | 1.1232 | 0.5833 | 1.1232 | 1.0598 |
| No log | 1.3 | 78 | 1.0775 | 0.6154 | 1.0775 | 1.0380 |
| No log | 1.3333 | 80 | 1.2845 | 0.5578 | 1.2845 | 1.1333 |
| No log | 1.3667 | 82 | 1.7811 | 0.3586 | 1.7811 | 1.3346 |
| No log | 1.4 | 84 | 1.7967 | 0.2979 | 1.7967 | 1.3404 |
| No log | 1.4333 | 86 | 1.5624 | 0.4110 | 1.5624 | 1.2500 |
| No log | 1.4667 | 88 | 1.3100 | 0.5306 | 1.3100 | 1.1445 |
| No log | 1.5 | 90 | 1.0614 | 0.6395 | 1.0614 | 1.0302 |
| No log | 1.5333 | 92 | 1.0308 | 0.6536 | 1.0308 | 1.0153 |
| No log | 1.5667 | 94 | 1.0704 | 0.5616 | 1.0704 | 1.0346 |
| No log | 1.6 | 96 | 0.9943 | 0.6 | 0.9943 | 0.9971 |
| No log | 1.6333 | 98 | 1.0325 | 0.6259 | 1.0325 | 1.0161 |
| No log | 1.6667 | 100 | 1.2430 | 0.5479 | 1.2430 | 1.1149 |
| No log | 1.7 | 102 | 1.3292 | 0.4865 | 1.3292 | 1.1529 |
| No log | 1.7333 | 104 | 1.1971 | 0.5811 | 1.1971 | 1.0941 |
| No log | 1.7667 | 106 | 1.0068 | 0.6259 | 1.0068 | 1.0034 |
| No log | 1.8 | 108 | 0.9591 | 0.6753 | 0.9591 | 0.9794 |
| No log | 1.8333 | 110 | 0.9458 | 0.6753 | 0.9458 | 0.9725 |
| No log | 1.8667 | 112 | 0.9218 | 0.6711 | 0.9218 | 0.9601 |
| No log | 1.9 | 114 | 1.1100 | 0.5753 | 1.1100 | 1.0536 |
| No log | 1.9333 | 116 | 1.4674 | 0.4861 | 1.4674 | 1.2114 |
| No log | 1.9667 | 118 | 1.5825 | 0.4795 | 1.5825 | 1.2580 |
| No log | 2.0 | 120 | 1.4614 | 0.4966 | 1.4614 | 1.2089 |
| No log | 2.0333 | 122 | 1.0916 | 0.5571 | 1.0916 | 1.0448 |
| No log | 2.0667 | 124 | 0.7959 | 0.7211 | 0.7959 | 0.8921 |
| No log | 2.1 | 126 | 0.7568 | 0.7692 | 0.7568 | 0.8699 |
| No log | 2.1333 | 128 | 0.7565 | 0.7643 | 0.7565 | 0.8698 |
| No log | 2.1667 | 130 | 0.9433 | 0.6069 | 0.9433 | 0.9713 |
| No log | 2.2 | 132 | 1.2585 | 0.5306 | 1.2585 | 1.1218 |
| No log | 2.2333 | 134 | 1.3233 | 0.5135 | 1.3233 | 1.1504 |
| No log | 2.2667 | 136 | 1.1540 | 0.5772 | 1.1540 | 1.0742 |
| No log | 2.3 | 138 | 0.9523 | 0.6207 | 0.9523 | 0.9759 |
| No log | 2.3333 | 140 | 0.9395 | 0.6620 | 0.9395 | 0.9693 |
| No log | 2.3667 | 142 | 1.0000 | 0.5882 | 1.0000 | 1.0000 |
| No log | 2.4 | 144 | 0.9856 | 0.5899 | 0.9856 | 0.9928 |
| No log | 2.4333 | 146 | 1.0112 | 0.6154 | 1.0112 | 1.0056 |
| No log | 2.4667 | 148 | 0.9667 | 0.6207 | 0.9667 | 0.9832 |
| No log | 2.5 | 150 | 0.9558 | 0.6621 | 0.9558 | 0.9777 |
| No log | 2.5333 | 152 | 1.0174 | 0.6207 | 1.0174 | 1.0087 |
| No log | 2.5667 | 154 | 1.0125 | 0.625 | 1.0125 | 1.0062 |
| No log | 2.6 | 156 | 0.9263 | 0.6712 | 0.9263 | 0.9624 |
| No log | 2.6333 | 158 | 0.8871 | 0.6712 | 0.8871 | 0.9419 |
| No log | 2.6667 | 160 | 0.9379 | 0.6395 | 0.9379 | 0.9684 |
| No log | 2.7 | 162 | 0.8881 | 0.6667 | 0.8881 | 0.9424 |
| No log | 2.7333 | 164 | 0.8443 | 0.6846 | 0.8443 | 0.9189 |
| No log | 2.7667 | 166 | 0.8830 | 0.6711 | 0.8830 | 0.9397 |
| No log | 2.8 | 168 | 0.9047 | 0.6993 | 0.9047 | 0.9512 |
| No log | 2.8333 | 170 | 0.9689 | 0.6667 | 0.9689 | 0.9843 |
| No log | 2.8667 | 172 | 0.9990 | 0.6569 | 0.9990 | 0.9995 |
| No log | 2.9 | 174 | 1.0167 | 0.6713 | 1.0167 | 1.0083 |
| No log | 2.9333 | 176 | 0.9758 | 0.6901 | 0.9758 | 0.9878 |
| No log | 2.9667 | 178 | 0.9069 | 0.6887 | 0.9069 | 0.9523 |
| No log | 3.0 | 180 | 0.8712 | 0.7067 | 0.8712 | 0.9334 |
| No log | 3.0333 | 182 | 0.8269 | 0.7013 | 0.8269 | 0.9094 |
| No log | 3.0667 | 184 | 0.8173 | 0.7051 | 0.8173 | 0.9041 |
| No log | 3.1 | 186 | 0.8515 | 0.7134 | 0.8514 | 0.9227 |
| No log | 3.1333 | 188 | 0.7380 | 0.7436 | 0.7380 | 0.8591 |
| No log | 3.1667 | 190 | 0.7505 | 0.7451 | 0.7505 | 0.8663 |
| No log | 3.2 | 192 | 0.7213 | 0.7368 | 0.7213 | 0.8493 |
| No log | 3.2333 | 194 | 0.8384 | 0.6933 | 0.8384 | 0.9156 |
| No log | 3.2667 | 196 | 0.8644 | 0.6803 | 0.8644 | 0.9298 |
| No log | 3.3 | 198 | 0.7679 | 0.7308 | 0.7679 | 0.8763 |
| No log | 3.3333 | 200 | 0.7660 | 0.7451 | 0.7660 | 0.8752 |
| No log | 3.3667 | 202 | 0.7693 | 0.7451 | 0.7693 | 0.8771 |
| No log | 3.4 | 204 | 0.8064 | 0.6986 | 0.8064 | 0.8980 |
| No log | 3.4333 | 206 | 0.8433 | 0.6806 | 0.8433 | 0.9183 |
| No log | 3.4667 | 208 | 1.0028 | 0.6301 | 1.0028 | 1.0014 |
| No log | 3.5 | 210 | 1.2523 | 0.5467 | 1.2523 | 1.1191 |
| No log | 3.5333 | 212 | 1.2305 | 0.5467 | 1.2305 | 1.1093 |
| No log | 3.5667 | 214 | 0.9985 | 0.6301 | 0.9985 | 0.9993 |
| No log | 3.6 | 216 | 0.8276 | 0.7237 | 0.8276 | 0.9097 |
| No log | 3.6333 | 218 | 0.8569 | 0.6928 | 0.8569 | 0.9257 |
| No log | 3.6667 | 220 | 0.8285 | 0.7013 | 0.8285 | 0.9102 |
| No log | 3.7 | 222 | 0.7665 | 0.7432 | 0.7665 | 0.8755 |
| No log | 3.7333 | 224 | 0.8373 | 0.6621 | 0.8373 | 0.9151 |
| No log | 3.7667 | 226 | 0.9904 | 0.6443 | 0.9904 | 0.9952 |
| No log | 3.8 | 228 | 1.0247 | 0.6081 | 1.0247 | 1.0123 |
| No log | 3.8333 | 230 | 0.8323 | 0.6533 | 0.8323 | 0.9123 |
| No log | 3.8667 | 232 | 0.7157 | 0.7237 | 0.7157 | 0.8460 |
| No log | 3.9 | 234 | 0.7395 | 0.7237 | 0.7395 | 0.8599 |
| No log | 3.9333 | 236 | 0.7913 | 0.7211 | 0.7913 | 0.8895 |
| No log | 3.9667 | 238 | 0.8125 | 0.7448 | 0.8125 | 0.9014 |
| No log | 4.0 | 240 | 0.8178 | 0.75 | 0.8178 | 0.9043 |
| No log | 4.0333 | 242 | 0.8373 | 0.7123 | 0.8373 | 0.9151 |
| No log | 4.0667 | 244 | 0.8286 | 0.75 | 0.8286 | 0.9103 |
| No log | 4.1 | 246 | 0.8270 | 0.7222 | 0.8270 | 0.9094 |
| No log | 4.1333 | 248 | 0.8157 | 0.7432 | 0.8157 | 0.9032 |
| No log | 4.1667 | 250 | 0.7898 | 0.7211 | 0.7898 | 0.8887 |
| No log | 4.2 | 252 | 0.7385 | 0.7550 | 0.7385 | 0.8593 |
| No log | 4.2333 | 254 | 0.6709 | 0.7451 | 0.6709 | 0.8191 |
| No log | 4.2667 | 256 | 0.6444 | 0.7564 | 0.6444 | 0.8027 |
| No log | 4.3 | 258 | 0.6735 | 0.7485 | 0.6735 | 0.8207 |
| No log | 4.3333 | 260 | 0.6634 | 0.7485 | 0.6634 | 0.8145 |
| No log | 4.3667 | 262 | 0.6279 | 0.7871 | 0.6279 | 0.7924 |
| No log | 4.4 | 264 | 0.6406 | 0.7792 | 0.6406 | 0.8004 |
| No log | 4.4333 | 266 | 0.6432 | 0.7792 | 0.6432 | 0.8020 |
| No log | 4.4667 | 268 | 0.6576 | 0.7682 | 0.6576 | 0.8109 |
| No log | 4.5 | 270 | 0.6357 | 0.7682 | 0.6357 | 0.7973 |
| No log | 4.5333 | 272 | 0.6581 | 0.7632 | 0.6581 | 0.8112 |
| No log | 4.5667 | 274 | 0.7118 | 0.7143 | 0.7118 | 0.8437 |
| No log | 4.6 | 276 | 0.7620 | 0.6928 | 0.7620 | 0.8729 |
| No log | 4.6333 | 278 | 0.7217 | 0.7143 | 0.7217 | 0.8495 |
| No log | 4.6667 | 280 | 0.7091 | 0.7226 | 0.7091 | 0.8421 |
| No log | 4.7 | 282 | 0.6793 | 0.7582 | 0.6793 | 0.8242 |
| No log | 4.7333 | 284 | 0.6749 | 0.7712 | 0.6749 | 0.8215 |
| No log | 4.7667 | 286 | 0.6905 | 0.76 | 0.6905 | 0.8310 |
| No log | 4.8 | 288 | 0.7061 | 0.7632 | 0.7061 | 0.8403 |
| No log | 4.8333 | 290 | 0.6908 | 0.7550 | 0.6908 | 0.8311 |
| No log | 4.8667 | 292 | 0.6635 | 0.7925 | 0.6635 | 0.8145 |
| No log | 4.9 | 294 | 0.6801 | 0.7436 | 0.6801 | 0.8247 |
| No log | 4.9333 | 296 | 0.6873 | 0.7643 | 0.6873 | 0.8291 |
| No log | 4.9667 | 298 | 0.6812 | 0.7771 | 0.6812 | 0.8254 |
| No log | 5.0 | 300 | 0.7098 | 0.7703 | 0.7098 | 0.8425 |
| No log | 5.0333 | 302 | 0.7608 | 0.72 | 0.7608 | 0.8722 |
| No log | 5.0667 | 304 | 0.7611 | 0.7190 | 0.7611 | 0.8724 |
| No log | 5.1 | 306 | 0.6619 | 0.7403 | 0.6619 | 0.8136 |
| No log | 5.1333 | 308 | 0.6085 | 0.7821 | 0.6085 | 0.7801 |
| No log | 5.1667 | 310 | 0.6553 | 0.7901 | 0.6553 | 0.8095 |
| No log | 5.2 | 312 | 0.6146 | 0.7826 | 0.6146 | 0.7839 |
| No log | 5.2333 | 314 | 0.5518 | 0.8049 | 0.5518 | 0.7429 |
| No log | 5.2667 | 316 | 0.6238 | 0.7772 | 0.6238 | 0.7898 |
| No log | 5.3 | 318 | 0.6885 | 0.7821 | 0.6885 | 0.8298 |
| No log | 5.3333 | 320 | 0.6350 | 0.7485 | 0.6350 | 0.7969 |
| No log | 5.3667 | 322 | 0.6418 | 0.7564 | 0.6418 | 0.8011 |
| No log | 5.4 | 324 | 0.6263 | 0.7949 | 0.6263 | 0.7914 |
| No log | 5.4333 | 326 | 0.6684 | 0.7871 | 0.6684 | 0.8176 |
| No log | 5.4667 | 328 | 0.6821 | 0.7582 | 0.6821 | 0.8259 |
| No log | 5.5 | 330 | 0.6821 | 0.7763 | 0.6821 | 0.8259 |
| No log | 5.5333 | 332 | 0.6703 | 0.8025 | 0.6703 | 0.8187 |
| No log | 5.5667 | 334 | 0.6519 | 0.8025 | 0.6519 | 0.8074 |
| No log | 5.6 | 336 | 0.6432 | 0.8 | 0.6432 | 0.8020 |
| No log | 5.6333 | 338 | 0.6553 | 0.7763 | 0.6553 | 0.8095 |
| No log | 5.6667 | 340 | 0.7328 | 0.6980 | 0.7328 | 0.8560 |
| No log | 5.7 | 342 | 0.8113 | 0.6709 | 0.8113 | 0.9007 |
| No log | 5.7333 | 344 | 0.7661 | 0.7067 | 0.7661 | 0.8753 |
| No log | 5.7667 | 346 | 0.6702 | 0.75 | 0.6702 | 0.8186 |
| No log | 5.8 | 348 | 0.6337 | 0.7949 | 0.6337 | 0.7961 |
| No log | 5.8333 | 350 | 0.6422 | 0.8 | 0.6422 | 0.8014 |
| No log | 5.8667 | 352 | 0.6313 | 0.8 | 0.6313 | 0.7946 |
| No log | 5.9 | 354 | 0.6032 | 0.7949 | 0.6032 | 0.7766 |
| No log | 5.9333 | 356 | 0.5969 | 0.8 | 0.5969 | 0.7726 |
| No log | 5.9667 | 358 | 0.5738 | 0.8025 | 0.5738 | 0.7575 |
| No log | 6.0 | 360 | 0.6970 | 0.7436 | 0.6970 | 0.8348 |
| No log | 6.0333 | 362 | 0.8364 | 0.6968 | 0.8364 | 0.9146 |
| No log | 6.0667 | 364 | 0.7388 | 0.7436 | 0.7388 | 0.8595 |
| No log | 6.1 | 366 | 0.7055 | 0.7273 | 0.7055 | 0.8399 |
| No log | 6.1333 | 368 | 0.7155 | 0.7712 | 0.7155 | 0.8459 |
| No log | 6.1667 | 370 | 0.7615 | 0.72 | 0.7615 | 0.8726 |
| No log | 6.2 | 372 | 0.8303 | 0.6351 | 0.8303 | 0.9112 |
| No log | 6.2333 | 374 | 0.8467 | 0.6309 | 0.8467 | 0.9202 |
| No log | 6.2667 | 376 | 0.8513 | 0.6490 | 0.8513 | 0.9226 |
| No log | 6.3 | 378 | 0.7153 | 0.7643 | 0.7153 | 0.8457 |
| No log | 6.3333 | 380 | 0.6406 | 0.7826 | 0.6406 | 0.8004 |
| No log | 6.3667 | 382 | 0.6362 | 0.7901 | 0.6362 | 0.7977 |
| No log | 6.4 | 384 | 0.6484 | 0.7826 | 0.6484 | 0.8052 |
| No log | 6.4333 | 386 | 0.6413 | 0.7826 | 0.6413 | 0.8008 |
| No log | 6.4667 | 388 | 0.6560 | 0.8075 | 0.6560 | 0.8099 |
| No log | 6.5 | 390 | 0.7055 | 0.7468 | 0.7055 | 0.8400 |
| No log | 6.5333 | 392 | 0.7255 | 0.7320 | 0.7255 | 0.8518 |
| No log | 6.5667 | 394 | 0.6949 | 0.7922 | 0.6949 | 0.8336 |
| No log | 6.6 | 396 | 0.6823 | 0.7792 | 0.6823 | 0.8260 |
| No log | 6.6333 | 398 | 0.6843 | 0.7613 | 0.6843 | 0.8272 |
| No log | 6.6667 | 400 | 0.6294 | 0.8025 | 0.6294 | 0.7933 |
| No log | 6.7 | 402 | 0.6003 | 0.8075 | 0.6003 | 0.7748 |
| No log | 6.7333 | 404 | 0.5737 | 0.7925 | 0.5737 | 0.7575 |
| No log | 6.7667 | 406 | 0.5853 | 0.8025 | 0.5853 | 0.7651 |
| No log | 6.8 | 408 | 0.6106 | 0.8026 | 0.6106 | 0.7814 |
| No log | 6.8333 | 410 | 0.6332 | 0.8026 | 0.6332 | 0.7957 |
| No log | 6.8667 | 412 | 0.6627 | 0.8026 | 0.6627 | 0.8140 |
| No log | 6.9 | 414 | 0.6677 | 0.7838 | 0.6677 | 0.8171 |
| No log | 6.9333 | 416 | 0.6535 | 0.7771 | 0.6535 | 0.8084 |
| No log | 6.9667 | 418 | 0.7176 | 0.7558 | 0.7176 | 0.8471 |
| No log | 7.0 | 420 | 0.8058 | 0.6905 | 0.8058 | 0.8977 |
| No log | 7.0333 | 422 | 0.8238 | 0.6790 | 0.8238 | 0.9076 |
| No log | 7.0667 | 424 | 0.8111 | 0.6575 | 0.8111 | 0.9006 |
| No log | 7.1 | 426 | 0.8081 | 0.6714 | 0.8081 | 0.8990 |
| No log | 7.1333 | 428 | 0.8007 | 0.7153 | 0.8007 | 0.8948 |
| No log | 7.1667 | 430 | 0.7918 | 0.7286 | 0.7918 | 0.8899 |
| No log | 7.2 | 432 | 0.8085 | 0.6761 | 0.8085 | 0.8992 |
| No log | 7.2333 | 434 | 0.7387 | 0.7042 | 0.7387 | 0.8595 |
| No log | 7.2667 | 436 | 0.6940 | 0.7639 | 0.6940 | 0.8331 |
| No log | 7.3 | 438 | 0.7081 | 0.7703 | 0.7081 | 0.8415 |
| No log | 7.3333 | 440 | 0.7049 | 0.7606 | 0.7049 | 0.8396 |
| No log | 7.3667 | 442 | 0.7393 | 0.7042 | 0.7393 | 0.8598 |
| No log | 7.4 | 444 | 0.8061 | 0.6525 | 0.8061 | 0.8978 |
| No log | 7.4333 | 446 | 0.8094 | 0.6525 | 0.8094 | 0.8997 |
| No log | 7.4667 | 448 | 0.7833 | 0.6912 | 0.7833 | 0.8850 |
| No log | 7.5 | 450 | 0.8039 | 0.6815 | 0.8039 | 0.8966 |
| No log | 7.5333 | 452 | 0.8806 | 0.5581 | 0.8806 | 0.9384 |
| No log | 7.5667 | 454 | 0.8347 | 0.6212 | 0.8347 | 0.9136 |
| No log | 7.6 | 456 | 0.7359 | 0.7482 | 0.7359 | 0.8578 |
| No log | 7.6333 | 458 | 0.7711 | 0.6620 | 0.7711 | 0.8781 |
| No log | 7.6667 | 460 | 0.7717 | 0.6713 | 0.7717 | 0.8785 |
| No log | 7.7 | 462 | 0.6997 | 0.7273 | 0.6997 | 0.8365 |
| No log | 7.7333 | 464 | 0.6816 | 0.7724 | 0.6816 | 0.8256 |
| No log | 7.7667 | 466 | 0.6775 | 0.7671 | 0.6775 | 0.8231 |
| No log | 7.8 | 468 | 0.6674 | 0.7815 | 0.6674 | 0.8169 |
| No log | 7.8333 | 470 | 0.6564 | 0.7534 | 0.6564 | 0.8102 |
| No log | 7.8667 | 472 | 0.7262 | 0.6806 | 0.7262 | 0.8522 |
| No log | 7.9 | 474 | 0.7347 | 0.6806 | 0.7347 | 0.8572 |
| No log | 7.9333 | 476 | 0.6853 | 0.7183 | 0.6853 | 0.8278 |
| No log | 7.9667 | 478 | 0.6674 | 0.7518 | 0.6674 | 0.8169 |
| No log | 8.0 | 480 | 0.6383 | 0.8077 | 0.6383 | 0.7989 |
| No log | 8.0333 | 482 | 0.6160 | 0.8025 | 0.6160 | 0.7848 |
| No log | 8.0667 | 484 | 0.6074 | 0.8077 | 0.6074 | 0.7794 |
| No log | 8.1 | 486 | 0.6210 | 0.7871 | 0.6210 | 0.7880 |
| No log | 8.1333 | 488 | 0.6449 | 0.7733 | 0.6449 | 0.8031 |
| No log | 8.1667 | 490 | 0.6536 | 0.7682 | 0.6536 | 0.8085 |
| No log | 8.2 | 492 | 0.6697 | 0.7682 | 0.6697 | 0.8183 |
| No log | 8.2333 | 494 | 0.6918 | 0.7368 | 0.6918 | 0.8317 |
| No log | 8.2667 | 496 | 0.7155 | 0.7260 | 0.7155 | 0.8459 |
| No log | 8.3 | 498 | 0.7127 | 0.7467 | 0.7127 | 0.8442 |
| 0.4158 | 8.3333 | 500 | 0.7142 | 0.7550 | 0.7142 | 0.8451 |
| 0.4158 | 8.3667 | 502 | 0.7176 | 0.7467 | 0.7176 | 0.8471 |
| 0.4158 | 8.4 | 504 | 0.7500 | 0.7260 | 0.7500 | 0.8660 |
| 0.4158 | 8.4333 | 506 | 0.7438 | 0.6897 | 0.7438 | 0.8625 |
| 0.4158 | 8.4667 | 508 | 0.7229 | 0.7361 | 0.7229 | 0.8503 |
| 0.4158 | 8.5 | 510 | 0.7224 | 0.7286 | 0.7224 | 0.8499 |
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/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k13_task1_organization
Base model
aubmindlab/bert-base-arabertv02