Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k10_task1_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_k10_task1_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_k10_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k10_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k10_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k10_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: 0.5899
- Qwk: 0.7499
- Mse: 0.5899
- Rmse: 0.7681
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 | 5.1213 | -0.0001 | 5.1213 | 2.2630 |
| No log | 0.0769 | 4 | 3.0949 | 0.0808 | 3.0949 | 1.7592 |
| No log | 0.1154 | 6 | 2.3200 | -0.0269 | 2.3200 | 1.5231 |
| No log | 0.1538 | 8 | 1.6590 | 0.0640 | 1.6590 | 1.2880 |
| No log | 0.1923 | 10 | 1.2042 | 0.2460 | 1.2042 | 1.0973 |
| No log | 0.2308 | 12 | 1.4058 | 0.0587 | 1.4058 | 1.1857 |
| No log | 0.2692 | 14 | 1.6287 | 0.0170 | 1.6287 | 1.2762 |
| No log | 0.3077 | 16 | 1.4208 | 0.0076 | 1.4208 | 1.1920 |
| No log | 0.3462 | 18 | 1.2802 | 0.1928 | 1.2802 | 1.1315 |
| No log | 0.3846 | 20 | 1.2092 | 0.2711 | 1.2092 | 1.0996 |
| No log | 0.4231 | 22 | 1.2808 | 0.2615 | 1.2808 | 1.1317 |
| No log | 0.4615 | 24 | 1.4572 | 0.1941 | 1.4572 | 1.2071 |
| No log | 0.5 | 26 | 1.4779 | 0.2895 | 1.4779 | 1.2157 |
| No log | 0.5385 | 28 | 1.3006 | 0.3337 | 1.3006 | 1.1405 |
| No log | 0.5769 | 30 | 1.1240 | 0.4559 | 1.1240 | 1.0602 |
| No log | 0.6154 | 32 | 0.9027 | 0.52 | 0.9027 | 0.9501 |
| No log | 0.6538 | 34 | 0.8018 | 0.5195 | 0.8018 | 0.8954 |
| No log | 0.6923 | 36 | 0.9803 | 0.4916 | 0.9803 | 0.9901 |
| No log | 0.7308 | 38 | 1.3510 | 0.3576 | 1.3510 | 1.1623 |
| No log | 0.7692 | 40 | 1.2524 | 0.4358 | 1.2524 | 1.1191 |
| No log | 0.8077 | 42 | 0.8328 | 0.5872 | 0.8328 | 0.9126 |
| No log | 0.8462 | 44 | 0.7251 | 0.5927 | 0.7251 | 0.8515 |
| No log | 0.8846 | 46 | 0.7678 | 0.5960 | 0.7678 | 0.8762 |
| No log | 0.9231 | 48 | 1.0325 | 0.5363 | 1.0325 | 1.0161 |
| No log | 0.9615 | 50 | 1.1378 | 0.4916 | 1.1378 | 1.0667 |
| No log | 1.0 | 52 | 1.2097 | 0.4864 | 1.2097 | 1.0999 |
| No log | 1.0385 | 54 | 0.8415 | 0.6388 | 0.8415 | 0.9174 |
| No log | 1.0769 | 56 | 0.5982 | 0.7271 | 0.5982 | 0.7735 |
| No log | 1.1154 | 58 | 0.5993 | 0.7211 | 0.5993 | 0.7741 |
| No log | 1.1538 | 60 | 0.7836 | 0.6646 | 0.7836 | 0.8852 |
| No log | 1.1923 | 62 | 0.9454 | 0.5740 | 0.9454 | 0.9723 |
| No log | 1.2308 | 64 | 0.8217 | 0.6347 | 0.8217 | 0.9065 |
| No log | 1.2692 | 66 | 0.6507 | 0.6881 | 0.6507 | 0.8066 |
| No log | 1.3077 | 68 | 0.6537 | 0.6673 | 0.6537 | 0.8085 |
| No log | 1.3462 | 70 | 0.7155 | 0.6285 | 0.7155 | 0.8458 |
| No log | 1.3846 | 72 | 0.7561 | 0.6150 | 0.7561 | 0.8696 |
| No log | 1.4231 | 74 | 0.7897 | 0.6201 | 0.7897 | 0.8886 |
| No log | 1.4615 | 76 | 0.6424 | 0.6973 | 0.6424 | 0.8015 |
| No log | 1.5 | 78 | 0.6060 | 0.7191 | 0.6060 | 0.7785 |
| No log | 1.5385 | 80 | 0.6311 | 0.6738 | 0.6311 | 0.7944 |
| No log | 1.5769 | 82 | 0.6495 | 0.6870 | 0.6495 | 0.8059 |
| No log | 1.6154 | 84 | 0.6578 | 0.6995 | 0.6578 | 0.8111 |
| No log | 1.6538 | 86 | 0.6619 | 0.7176 | 0.6619 | 0.8136 |
| No log | 1.6923 | 88 | 0.7440 | 0.6782 | 0.7440 | 0.8626 |
| No log | 1.7308 | 90 | 0.8134 | 0.6084 | 0.8134 | 0.9019 |
| No log | 1.7692 | 92 | 0.8414 | 0.6038 | 0.8414 | 0.9173 |
| No log | 1.8077 | 94 | 0.7785 | 0.6014 | 0.7785 | 0.8823 |
| No log | 1.8462 | 96 | 0.7154 | 0.6261 | 0.7154 | 0.8458 |
| No log | 1.8846 | 98 | 0.7509 | 0.6168 | 0.7509 | 0.8666 |
| No log | 1.9231 | 100 | 0.8162 | 0.5999 | 0.8162 | 0.9034 |
| No log | 1.9615 | 102 | 0.8172 | 0.6190 | 0.8172 | 0.9040 |
| No log | 2.0 | 104 | 0.8678 | 0.6275 | 0.8678 | 0.9315 |
| No log | 2.0385 | 106 | 0.7956 | 0.6481 | 0.7956 | 0.8919 |
| No log | 2.0769 | 108 | 0.7402 | 0.6526 | 0.7402 | 0.8603 |
| No log | 2.1154 | 110 | 0.9658 | 0.6173 | 0.9658 | 0.9828 |
| No log | 2.1538 | 112 | 0.9815 | 0.6071 | 0.9815 | 0.9907 |
| No log | 2.1923 | 114 | 0.6979 | 0.6985 | 0.6979 | 0.8354 |
| No log | 2.2308 | 116 | 0.5934 | 0.7555 | 0.5934 | 0.7703 |
| No log | 2.2692 | 118 | 0.6880 | 0.7003 | 0.6880 | 0.8295 |
| No log | 2.3077 | 120 | 0.7724 | 0.6795 | 0.7724 | 0.8789 |
| No log | 2.3462 | 122 | 0.6770 | 0.7224 | 0.6770 | 0.8228 |
| No log | 2.3846 | 124 | 0.6439 | 0.7543 | 0.6439 | 0.8024 |
| No log | 2.4231 | 126 | 0.6497 | 0.7362 | 0.6497 | 0.8060 |
| No log | 2.4615 | 128 | 0.6344 | 0.7251 | 0.6344 | 0.7965 |
| No log | 2.5 | 130 | 0.6882 | 0.6825 | 0.6882 | 0.8296 |
| No log | 2.5385 | 132 | 0.7140 | 0.6624 | 0.7140 | 0.8450 |
| No log | 2.5769 | 134 | 0.6425 | 0.7152 | 0.6425 | 0.8015 |
| No log | 2.6154 | 136 | 0.6437 | 0.6856 | 0.6437 | 0.8023 |
| No log | 2.6538 | 138 | 0.7777 | 0.6207 | 0.7777 | 0.8819 |
| No log | 2.6923 | 140 | 0.7494 | 0.6158 | 0.7494 | 0.8657 |
| No log | 2.7308 | 142 | 0.6313 | 0.7127 | 0.6313 | 0.7946 |
| No log | 2.7692 | 144 | 0.6318 | 0.7191 | 0.6318 | 0.7948 |
| No log | 2.8077 | 146 | 0.6376 | 0.7307 | 0.6376 | 0.7985 |
| No log | 2.8462 | 148 | 0.6753 | 0.7385 | 0.6753 | 0.8217 |
| No log | 2.8846 | 150 | 0.7298 | 0.6801 | 0.7298 | 0.8543 |
| No log | 2.9231 | 152 | 0.6803 | 0.7291 | 0.6803 | 0.8248 |
| No log | 2.9615 | 154 | 0.6147 | 0.7678 | 0.6147 | 0.7840 |
| No log | 3.0 | 156 | 0.6039 | 0.7292 | 0.6039 | 0.7771 |
| No log | 3.0385 | 158 | 0.5773 | 0.7350 | 0.5773 | 0.7598 |
| No log | 3.0769 | 160 | 0.5739 | 0.7449 | 0.5739 | 0.7575 |
| No log | 3.1154 | 162 | 0.7055 | 0.6295 | 0.7055 | 0.8399 |
| No log | 3.1538 | 164 | 0.7736 | 0.6296 | 0.7736 | 0.8796 |
| No log | 3.1923 | 166 | 0.6991 | 0.6172 | 0.6991 | 0.8361 |
| No log | 3.2308 | 168 | 0.5802 | 0.7060 | 0.5802 | 0.7617 |
| No log | 3.2692 | 170 | 0.5544 | 0.7453 | 0.5544 | 0.7446 |
| No log | 3.3077 | 172 | 0.5745 | 0.7457 | 0.5745 | 0.7580 |
| No log | 3.3462 | 174 | 0.5792 | 0.7477 | 0.5792 | 0.7610 |
| No log | 3.3846 | 176 | 0.5675 | 0.7750 | 0.5675 | 0.7533 |
| No log | 3.4231 | 178 | 0.5806 | 0.7503 | 0.5806 | 0.7620 |
| No log | 3.4615 | 180 | 0.6345 | 0.7403 | 0.6345 | 0.7966 |
| No log | 3.5 | 182 | 0.6870 | 0.7054 | 0.6870 | 0.8288 |
| No log | 3.5385 | 184 | 0.6152 | 0.7332 | 0.6152 | 0.7843 |
| No log | 3.5769 | 186 | 0.5690 | 0.7578 | 0.5690 | 0.7544 |
| No log | 3.6154 | 188 | 0.5774 | 0.7170 | 0.5774 | 0.7598 |
| No log | 3.6538 | 190 | 0.5660 | 0.7369 | 0.5660 | 0.7523 |
| No log | 3.6923 | 192 | 0.6237 | 0.7084 | 0.6237 | 0.7897 |
| No log | 3.7308 | 194 | 0.8668 | 0.6335 | 0.8668 | 0.9310 |
| No log | 3.7692 | 196 | 0.9855 | 0.5908 | 0.9855 | 0.9927 |
| No log | 3.8077 | 198 | 0.8320 | 0.6193 | 0.8320 | 0.9121 |
| No log | 3.8462 | 200 | 0.6147 | 0.7294 | 0.6147 | 0.7840 |
| No log | 3.8846 | 202 | 0.6119 | 0.7137 | 0.6119 | 0.7822 |
| No log | 3.9231 | 204 | 0.6853 | 0.6848 | 0.6853 | 0.8278 |
| No log | 3.9615 | 206 | 0.6569 | 0.6875 | 0.6569 | 0.8105 |
| No log | 4.0 | 208 | 0.6091 | 0.7436 | 0.6091 | 0.7804 |
| No log | 4.0385 | 210 | 0.6137 | 0.7427 | 0.6137 | 0.7834 |
| No log | 4.0769 | 212 | 0.6195 | 0.7503 | 0.6195 | 0.7871 |
| No log | 4.1154 | 214 | 0.6082 | 0.7200 | 0.6082 | 0.7799 |
| No log | 4.1538 | 216 | 0.5968 | 0.7181 | 0.5968 | 0.7725 |
| No log | 4.1923 | 218 | 0.5906 | 0.7318 | 0.5906 | 0.7685 |
| No log | 4.2308 | 220 | 0.6035 | 0.7626 | 0.6035 | 0.7769 |
| No log | 4.2692 | 222 | 0.6609 | 0.7284 | 0.6609 | 0.8130 |
| No log | 4.3077 | 224 | 0.7173 | 0.6786 | 0.7173 | 0.8470 |
| No log | 4.3462 | 226 | 0.6833 | 0.7074 | 0.6833 | 0.8266 |
| No log | 4.3846 | 228 | 0.6067 | 0.7482 | 0.6067 | 0.7789 |
| No log | 4.4231 | 230 | 0.6110 | 0.7223 | 0.6110 | 0.7817 |
| No log | 4.4615 | 232 | 0.6083 | 0.7223 | 0.6083 | 0.7799 |
| No log | 4.5 | 234 | 0.6023 | 0.7443 | 0.6023 | 0.7761 |
| No log | 4.5385 | 236 | 0.6636 | 0.7409 | 0.6636 | 0.8146 |
| No log | 4.5769 | 238 | 0.7203 | 0.6871 | 0.7203 | 0.8487 |
| No log | 4.6154 | 240 | 0.7613 | 0.6723 | 0.7613 | 0.8725 |
| No log | 4.6538 | 242 | 0.7041 | 0.7132 | 0.7041 | 0.8391 |
| No log | 4.6923 | 244 | 0.6281 | 0.7508 | 0.6281 | 0.7925 |
| No log | 4.7308 | 246 | 0.5979 | 0.7583 | 0.5979 | 0.7733 |
| No log | 4.7692 | 248 | 0.5867 | 0.7483 | 0.5867 | 0.7659 |
| No log | 4.8077 | 250 | 0.5897 | 0.7615 | 0.5897 | 0.7679 |
| No log | 4.8462 | 252 | 0.6056 | 0.7348 | 0.6056 | 0.7782 |
| No log | 4.8846 | 254 | 0.5993 | 0.7298 | 0.5993 | 0.7741 |
| No log | 4.9231 | 256 | 0.5981 | 0.7150 | 0.5981 | 0.7734 |
| No log | 4.9615 | 258 | 0.5902 | 0.7221 | 0.5902 | 0.7683 |
| No log | 5.0 | 260 | 0.5786 | 0.7000 | 0.5786 | 0.7606 |
| No log | 5.0385 | 262 | 0.5790 | 0.7019 | 0.5790 | 0.7609 |
| No log | 5.0769 | 264 | 0.5816 | 0.7038 | 0.5816 | 0.7626 |
| No log | 5.1154 | 266 | 0.5836 | 0.7103 | 0.5836 | 0.7639 |
| No log | 5.1538 | 268 | 0.5888 | 0.7031 | 0.5888 | 0.7673 |
| No log | 5.1923 | 270 | 0.5977 | 0.7290 | 0.5977 | 0.7731 |
| No log | 5.2308 | 272 | 0.6155 | 0.7462 | 0.6155 | 0.7846 |
| No log | 5.2692 | 274 | 0.6216 | 0.7424 | 0.6216 | 0.7884 |
| No log | 5.3077 | 276 | 0.6444 | 0.7168 | 0.6444 | 0.8028 |
| No log | 5.3462 | 278 | 0.7062 | 0.6785 | 0.7062 | 0.8404 |
| No log | 5.3846 | 280 | 0.7145 | 0.6696 | 0.7145 | 0.8453 |
| No log | 5.4231 | 282 | 0.6520 | 0.7224 | 0.6520 | 0.8075 |
| No log | 5.4615 | 284 | 0.5984 | 0.7611 | 0.5984 | 0.7736 |
| No log | 5.5 | 286 | 0.5854 | 0.7546 | 0.5854 | 0.7651 |
| No log | 5.5385 | 288 | 0.5809 | 0.7416 | 0.5809 | 0.7622 |
| No log | 5.5769 | 290 | 0.5733 | 0.7150 | 0.5733 | 0.7571 |
| No log | 5.6154 | 292 | 0.6021 | 0.6813 | 0.6021 | 0.7759 |
| No log | 5.6538 | 294 | 0.6853 | 0.6476 | 0.6853 | 0.8279 |
| No log | 5.6923 | 296 | 0.7353 | 0.6452 | 0.7353 | 0.8575 |
| No log | 5.7308 | 298 | 0.6988 | 0.6443 | 0.6988 | 0.8359 |
| No log | 5.7692 | 300 | 0.6237 | 0.6643 | 0.6237 | 0.7898 |
| No log | 5.8077 | 302 | 0.5800 | 0.6919 | 0.5800 | 0.7616 |
| No log | 5.8462 | 304 | 0.5776 | 0.7174 | 0.5776 | 0.7600 |
| No log | 5.8846 | 306 | 0.5776 | 0.7241 | 0.5776 | 0.7600 |
| No log | 5.9231 | 308 | 0.6028 | 0.6736 | 0.6028 | 0.7764 |
| No log | 5.9615 | 310 | 0.6245 | 0.6721 | 0.6245 | 0.7903 |
| No log | 6.0 | 312 | 0.6131 | 0.6856 | 0.6131 | 0.7830 |
| No log | 6.0385 | 314 | 0.5825 | 0.7553 | 0.5825 | 0.7632 |
| No log | 6.0769 | 316 | 0.5900 | 0.7636 | 0.5900 | 0.7681 |
| No log | 6.1154 | 318 | 0.6268 | 0.6990 | 0.6268 | 0.7917 |
| No log | 6.1538 | 320 | 0.6273 | 0.6873 | 0.6273 | 0.7920 |
| No log | 6.1923 | 322 | 0.5958 | 0.7598 | 0.5958 | 0.7719 |
| No log | 6.2308 | 324 | 0.5975 | 0.7507 | 0.5975 | 0.7730 |
| No log | 6.2692 | 326 | 0.6252 | 0.6765 | 0.6252 | 0.7907 |
| No log | 6.3077 | 328 | 0.6173 | 0.6997 | 0.6173 | 0.7857 |
| No log | 6.3462 | 330 | 0.5973 | 0.6751 | 0.5973 | 0.7729 |
| No log | 6.3846 | 332 | 0.6203 | 0.7179 | 0.6203 | 0.7876 |
| No log | 6.4231 | 334 | 0.6706 | 0.7060 | 0.6706 | 0.8189 |
| No log | 6.4615 | 336 | 0.6863 | 0.6688 | 0.6863 | 0.8284 |
| No log | 6.5 | 338 | 0.6565 | 0.7161 | 0.6565 | 0.8103 |
| No log | 6.5385 | 340 | 0.6207 | 0.7246 | 0.6207 | 0.7879 |
| No log | 6.5769 | 342 | 0.5995 | 0.7397 | 0.5995 | 0.7743 |
| No log | 6.6154 | 344 | 0.5871 | 0.7474 | 0.5871 | 0.7662 |
| No log | 6.6538 | 346 | 0.5863 | 0.7443 | 0.5863 | 0.7657 |
| No log | 6.6923 | 348 | 0.5912 | 0.7572 | 0.5912 | 0.7689 |
| No log | 6.7308 | 350 | 0.5966 | 0.7607 | 0.5966 | 0.7724 |
| No log | 6.7692 | 352 | 0.6060 | 0.7661 | 0.6060 | 0.7785 |
| No log | 6.8077 | 354 | 0.6247 | 0.7309 | 0.6247 | 0.7904 |
| No log | 6.8462 | 356 | 0.6407 | 0.7190 | 0.6407 | 0.8004 |
| No log | 6.8846 | 358 | 0.6184 | 0.7262 | 0.6184 | 0.7864 |
| No log | 6.9231 | 360 | 0.5941 | 0.7433 | 0.5941 | 0.7708 |
| No log | 6.9615 | 362 | 0.5931 | 0.7657 | 0.5931 | 0.7701 |
| No log | 7.0 | 364 | 0.6055 | 0.7272 | 0.6055 | 0.7781 |
| No log | 7.0385 | 366 | 0.6089 | 0.7123 | 0.6089 | 0.7803 |
| No log | 7.0769 | 368 | 0.6077 | 0.7187 | 0.6077 | 0.7796 |
| No log | 7.1154 | 370 | 0.6054 | 0.7457 | 0.6054 | 0.7781 |
| No log | 7.1538 | 372 | 0.6115 | 0.7044 | 0.6115 | 0.7820 |
| No log | 7.1923 | 374 | 0.6127 | 0.6853 | 0.6127 | 0.7827 |
| No log | 7.2308 | 376 | 0.6042 | 0.7044 | 0.6042 | 0.7773 |
| No log | 7.2692 | 378 | 0.5911 | 0.7702 | 0.5911 | 0.7688 |
| No log | 7.3077 | 380 | 0.5935 | 0.7562 | 0.5935 | 0.7704 |
| No log | 7.3462 | 382 | 0.6069 | 0.7443 | 0.6069 | 0.7790 |
| No log | 7.3846 | 384 | 0.6128 | 0.7155 | 0.6128 | 0.7828 |
| No log | 7.4231 | 386 | 0.6009 | 0.7509 | 0.6009 | 0.7752 |
| No log | 7.4615 | 388 | 0.5850 | 0.7502 | 0.5850 | 0.7648 |
| No log | 7.5 | 390 | 0.5781 | 0.7502 | 0.5781 | 0.7603 |
| No log | 7.5385 | 392 | 0.5764 | 0.7632 | 0.5764 | 0.7592 |
| No log | 7.5769 | 394 | 0.5794 | 0.7240 | 0.5794 | 0.7612 |
| No log | 7.6154 | 396 | 0.5751 | 0.7394 | 0.5751 | 0.7584 |
| No log | 7.6538 | 398 | 0.5713 | 0.7632 | 0.5713 | 0.7558 |
| No log | 7.6923 | 400 | 0.5773 | 0.7583 | 0.5773 | 0.7598 |
| No log | 7.7308 | 402 | 0.5923 | 0.7550 | 0.5923 | 0.7696 |
| No log | 7.7692 | 404 | 0.6021 | 0.7550 | 0.6021 | 0.7759 |
| No log | 7.8077 | 406 | 0.6097 | 0.7342 | 0.6097 | 0.7808 |
| No log | 7.8462 | 408 | 0.6051 | 0.7526 | 0.6051 | 0.7779 |
| No log | 7.8846 | 410 | 0.5870 | 0.7559 | 0.5870 | 0.7662 |
| No log | 7.9231 | 412 | 0.5852 | 0.7632 | 0.5852 | 0.7650 |
| No log | 7.9615 | 414 | 0.5916 | 0.7480 | 0.5916 | 0.7691 |
| No log | 8.0 | 416 | 0.5974 | 0.7492 | 0.5974 | 0.7729 |
| No log | 8.0385 | 418 | 0.5964 | 0.7492 | 0.5964 | 0.7723 |
| No log | 8.0769 | 420 | 0.5905 | 0.7643 | 0.5905 | 0.7685 |
| No log | 8.1154 | 422 | 0.5862 | 0.7765 | 0.5862 | 0.7656 |
| No log | 8.1538 | 424 | 0.5834 | 0.7734 | 0.5834 | 0.7638 |
| No log | 8.1923 | 426 | 0.5799 | 0.7666 | 0.5799 | 0.7615 |
| No log | 8.2308 | 428 | 0.5806 | 0.7598 | 0.5806 | 0.7620 |
| No log | 8.2692 | 430 | 0.5837 | 0.7573 | 0.5837 | 0.7640 |
| No log | 8.3077 | 432 | 0.5828 | 0.7573 | 0.5828 | 0.7634 |
| No log | 8.3462 | 434 | 0.5777 | 0.7494 | 0.5777 | 0.7601 |
| No log | 8.3846 | 436 | 0.5686 | 0.7562 | 0.5686 | 0.7541 |
| No log | 8.4231 | 438 | 0.5673 | 0.7498 | 0.5673 | 0.7532 |
| No log | 8.4615 | 440 | 0.5738 | 0.7578 | 0.5738 | 0.7575 |
| No log | 8.5 | 442 | 0.5741 | 0.7578 | 0.5741 | 0.7577 |
| No log | 8.5385 | 444 | 0.5719 | 0.7639 | 0.5719 | 0.7563 |
| No log | 8.5769 | 446 | 0.5696 | 0.7583 | 0.5696 | 0.7547 |
| No log | 8.6154 | 448 | 0.5695 | 0.7573 | 0.5695 | 0.7546 |
| No log | 8.6538 | 450 | 0.5743 | 0.7564 | 0.5743 | 0.7578 |
| No log | 8.6923 | 452 | 0.5809 | 0.7520 | 0.5809 | 0.7622 |
| No log | 8.7308 | 454 | 0.5900 | 0.7575 | 0.5900 | 0.7681 |
| No log | 8.7692 | 456 | 0.5944 | 0.7532 | 0.5944 | 0.7710 |
| No log | 8.8077 | 458 | 0.5934 | 0.7575 | 0.5934 | 0.7703 |
| No log | 8.8462 | 460 | 0.5929 | 0.7598 | 0.5929 | 0.7700 |
| No log | 8.8846 | 462 | 0.5945 | 0.7598 | 0.5945 | 0.7711 |
| No log | 8.9231 | 464 | 0.5938 | 0.7642 | 0.5938 | 0.7706 |
| No log | 8.9615 | 466 | 0.5935 | 0.7608 | 0.5935 | 0.7704 |
| No log | 9.0 | 468 | 0.5928 | 0.7734 | 0.5928 | 0.7700 |
| No log | 9.0385 | 470 | 0.5922 | 0.7702 | 0.5922 | 0.7695 |
| No log | 9.0769 | 472 | 0.5919 | 0.7702 | 0.5919 | 0.7693 |
| No log | 9.1154 | 474 | 0.5917 | 0.7657 | 0.5917 | 0.7692 |
| No log | 9.1538 | 476 | 0.5929 | 0.7529 | 0.5929 | 0.7700 |
| No log | 9.1923 | 478 | 0.5947 | 0.7544 | 0.5947 | 0.7711 |
| No log | 9.2308 | 480 | 0.5971 | 0.7491 | 0.5971 | 0.7727 |
| No log | 9.2692 | 482 | 0.5957 | 0.7514 | 0.5957 | 0.7718 |
| No log | 9.3077 | 484 | 0.5921 | 0.7499 | 0.5921 | 0.7695 |
| No log | 9.3462 | 486 | 0.5904 | 0.7439 | 0.5904 | 0.7684 |
| No log | 9.3846 | 488 | 0.5885 | 0.7484 | 0.5885 | 0.7671 |
| No log | 9.4231 | 490 | 0.5883 | 0.7529 | 0.5883 | 0.7670 |
| No log | 9.4615 | 492 | 0.5879 | 0.7529 | 0.5879 | 0.7668 |
| No log | 9.5 | 494 | 0.5872 | 0.7553 | 0.5872 | 0.7663 |
| No log | 9.5385 | 496 | 0.5868 | 0.7553 | 0.5868 | 0.7660 |
| No log | 9.5769 | 498 | 0.5859 | 0.7553 | 0.5859 | 0.7655 |
| 0.3654 | 9.6154 | 500 | 0.5852 | 0.7682 | 0.5852 | 0.7650 |
| 0.3654 | 9.6538 | 502 | 0.5845 | 0.7553 | 0.5845 | 0.7646 |
| 0.3654 | 9.6923 | 504 | 0.5842 | 0.7553 | 0.5842 | 0.7644 |
| 0.3654 | 9.7308 | 506 | 0.5846 | 0.7529 | 0.5846 | 0.7646 |
| 0.3654 | 9.7692 | 508 | 0.5852 | 0.7484 | 0.5852 | 0.7650 |
| 0.3654 | 9.8077 | 510 | 0.5863 | 0.7439 | 0.5863 | 0.7657 |
| 0.3654 | 9.8462 | 512 | 0.5872 | 0.7439 | 0.5872 | 0.7663 |
| 0.3654 | 9.8846 | 514 | 0.5883 | 0.7499 | 0.5883 | 0.7670 |
| 0.3654 | 9.9231 | 516 | 0.5891 | 0.7499 | 0.5891 | 0.7675 |
| 0.3654 | 9.9615 | 518 | 0.5897 | 0.7499 | 0.5897 | 0.7679 |
| 0.3654 | 10.0 | 520 | 0.5899 | 0.7499 | 0.5899 | 0.7681 |
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_k10_task1_organization
Base model
aubmindlab/bert-base-arabertv02