Instructions to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k15_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k15_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k15_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k15_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k15_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k15_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: 0.8429
- Qwk: 0.6573
- Mse: 0.8429
- Rmse: 0.9181
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 | 0.0286 | 2 | 7.1026 | 0.0 | 7.1026 | 2.6651 |
| No log | 0.0571 | 4 | 4.8098 | 0.0081 | 4.8098 | 2.1931 |
| No log | 0.0857 | 6 | 4.2295 | -0.0784 | 4.2295 | 2.0566 |
| No log | 0.1143 | 8 | 2.6426 | 0.0280 | 2.6426 | 1.6256 |
| No log | 0.1429 | 10 | 2.1830 | 0.1194 | 2.1830 | 1.4775 |
| No log | 0.1714 | 12 | 2.1397 | 0.2121 | 2.1397 | 1.4628 |
| No log | 0.2 | 14 | 1.9161 | 0.2542 | 1.9161 | 1.3842 |
| No log | 0.2286 | 16 | 1.8858 | 0.2542 | 1.8858 | 1.3733 |
| No log | 0.2571 | 18 | 2.1690 | 0.1379 | 2.1690 | 1.4728 |
| No log | 0.2857 | 20 | 2.1203 | 0.1793 | 2.1203 | 1.4561 |
| No log | 0.3143 | 22 | 1.9904 | 0.3281 | 1.9904 | 1.4108 |
| No log | 0.3429 | 24 | 2.1354 | 0.1854 | 2.1354 | 1.4613 |
| No log | 0.3714 | 26 | 2.5672 | 0.1605 | 2.5672 | 1.6023 |
| No log | 0.4 | 28 | 2.6151 | 0.1697 | 2.6151 | 1.6171 |
| No log | 0.4286 | 30 | 1.9676 | 0.3194 | 1.9676 | 1.4027 |
| No log | 0.4571 | 32 | 1.8708 | 0.3239 | 1.8708 | 1.3678 |
| No log | 0.4857 | 34 | 2.2525 | 0.2105 | 2.2525 | 1.5008 |
| No log | 0.5143 | 36 | 2.5118 | 0.1375 | 2.5118 | 1.5849 |
| No log | 0.5429 | 38 | 1.9715 | 0.2838 | 1.9715 | 1.4041 |
| No log | 0.5714 | 40 | 1.6686 | 0.4296 | 1.6686 | 1.2918 |
| No log | 0.6 | 42 | 1.4944 | 0.3939 | 1.4944 | 1.2225 |
| No log | 0.6286 | 44 | 1.9033 | 0.3562 | 1.9033 | 1.3796 |
| No log | 0.6571 | 46 | 2.5483 | 0.2024 | 2.5483 | 1.5963 |
| No log | 0.6857 | 48 | 2.7087 | 0.2000 | 2.7087 | 1.6458 |
| No log | 0.7143 | 50 | 2.1001 | 0.2733 | 2.1001 | 1.4492 |
| No log | 0.7429 | 52 | 1.3018 | 0.4928 | 1.3018 | 1.1410 |
| No log | 0.7714 | 54 | 1.2138 | 0.5113 | 1.2138 | 1.1017 |
| No log | 0.8 | 56 | 1.4113 | 0.3692 | 1.4113 | 1.1880 |
| No log | 0.8286 | 58 | 1.2565 | 0.4844 | 1.2565 | 1.1210 |
| No log | 0.8571 | 60 | 1.1858 | 0.5481 | 1.1858 | 1.0890 |
| No log | 0.8857 | 62 | 1.3897 | 0.4571 | 1.3897 | 1.1788 |
| No log | 0.9143 | 64 | 1.4100 | 0.4429 | 1.4100 | 1.1874 |
| No log | 0.9429 | 66 | 1.2828 | 0.4741 | 1.2828 | 1.1326 |
| No log | 0.9714 | 68 | 1.3741 | 0.4895 | 1.3741 | 1.1722 |
| No log | 1.0 | 70 | 1.3297 | 0.5175 | 1.3297 | 1.1531 |
| No log | 1.0286 | 72 | 1.5425 | 0.5276 | 1.5425 | 1.2420 |
| No log | 1.0571 | 74 | 1.3706 | 0.5590 | 1.3706 | 1.1707 |
| No log | 1.0857 | 76 | 1.0835 | 0.6143 | 1.0835 | 1.0409 |
| No log | 1.1143 | 78 | 0.9951 | 0.6029 | 0.9951 | 0.9975 |
| No log | 1.1429 | 80 | 1.3731 | 0.3937 | 1.3731 | 1.1718 |
| No log | 1.1714 | 82 | 1.8581 | 0.2222 | 1.8581 | 1.3631 |
| No log | 1.2 | 84 | 1.0689 | 0.5630 | 1.0689 | 1.0339 |
| No log | 1.2286 | 86 | 1.5334 | 0.4968 | 1.5334 | 1.2383 |
| No log | 1.2571 | 88 | 1.7775 | 0.4151 | 1.7775 | 1.3332 |
| No log | 1.2857 | 90 | 1.6966 | 0.3791 | 1.6966 | 1.3025 |
| No log | 1.3143 | 92 | 1.3698 | 0.4672 | 1.3698 | 1.1704 |
| No log | 1.3429 | 94 | 1.0250 | 0.5926 | 1.0250 | 1.0124 |
| No log | 1.3714 | 96 | 1.1666 | 0.5333 | 1.1666 | 1.0801 |
| No log | 1.4 | 98 | 1.1811 | 0.5612 | 1.1811 | 1.0868 |
| No log | 1.4286 | 100 | 1.0119 | 0.5899 | 1.0119 | 1.0059 |
| No log | 1.4571 | 102 | 1.0469 | 0.5797 | 1.0469 | 1.0232 |
| No log | 1.4857 | 104 | 1.0220 | 0.6294 | 1.0220 | 1.0110 |
| No log | 1.5143 | 106 | 1.0868 | 0.6133 | 1.0868 | 1.0425 |
| No log | 1.5429 | 108 | 1.0063 | 0.6309 | 1.0063 | 1.0031 |
| No log | 1.5714 | 110 | 1.0231 | 0.6309 | 1.0231 | 1.0115 |
| No log | 1.6 | 112 | 1.1720 | 0.6013 | 1.1720 | 1.0826 |
| No log | 1.6286 | 114 | 1.1459 | 0.6013 | 1.1459 | 1.0705 |
| No log | 1.6571 | 116 | 1.0139 | 0.6133 | 1.0139 | 1.0069 |
| No log | 1.6857 | 118 | 0.8982 | 0.6667 | 0.8982 | 0.9477 |
| No log | 1.7143 | 120 | 1.1867 | 0.6087 | 1.1867 | 1.0893 |
| No log | 1.7429 | 122 | 1.7961 | 0.4845 | 1.7961 | 1.3402 |
| No log | 1.7714 | 124 | 1.6810 | 0.5026 | 1.6810 | 1.2965 |
| No log | 1.8 | 126 | 0.9798 | 0.6503 | 0.9798 | 0.9899 |
| No log | 1.8286 | 128 | 0.7869 | 0.7564 | 0.7869 | 0.8871 |
| No log | 1.8571 | 130 | 0.9647 | 0.6420 | 0.9647 | 0.9822 |
| No log | 1.8857 | 132 | 1.6076 | 0.5543 | 1.6076 | 1.2679 |
| No log | 1.9143 | 134 | 1.5544 | 0.5543 | 1.5544 | 1.2467 |
| No log | 1.9429 | 136 | 1.4842 | 0.5668 | 1.4842 | 1.2183 |
| No log | 1.9714 | 138 | 1.0030 | 0.6173 | 1.0030 | 1.0015 |
| No log | 2.0 | 140 | 1.0054 | 0.6049 | 1.0054 | 1.0027 |
| No log | 2.0286 | 142 | 0.8678 | 0.7468 | 0.8678 | 0.9316 |
| No log | 2.0571 | 144 | 0.7206 | 0.7034 | 0.7206 | 0.8489 |
| No log | 2.0857 | 146 | 0.8710 | 0.6812 | 0.8710 | 0.9333 |
| No log | 2.1143 | 148 | 1.1586 | 0.5263 | 1.1586 | 1.0764 |
| No log | 2.1429 | 150 | 1.1071 | 0.5882 | 1.1071 | 1.0522 |
| No log | 2.1714 | 152 | 0.8937 | 0.6765 | 0.8937 | 0.9453 |
| No log | 2.2 | 154 | 0.8368 | 0.6853 | 0.8368 | 0.9148 |
| No log | 2.2286 | 156 | 0.8373 | 0.6803 | 0.8373 | 0.9150 |
| No log | 2.2571 | 158 | 0.7936 | 0.6849 | 0.7936 | 0.8909 |
| No log | 2.2857 | 160 | 0.7606 | 0.7248 | 0.7606 | 0.8721 |
| No log | 2.3143 | 162 | 0.7358 | 0.7297 | 0.7358 | 0.8578 |
| No log | 2.3429 | 164 | 0.7397 | 0.7582 | 0.7397 | 0.8601 |
| No log | 2.3714 | 166 | 0.7879 | 0.7425 | 0.7879 | 0.8877 |
| No log | 2.4 | 168 | 0.7596 | 0.7516 | 0.7596 | 0.8716 |
| No log | 2.4286 | 170 | 0.6954 | 0.7871 | 0.6954 | 0.8339 |
| No log | 2.4571 | 172 | 0.7124 | 0.7821 | 0.7124 | 0.8440 |
| No log | 2.4857 | 174 | 0.7769 | 0.7421 | 0.7769 | 0.8814 |
| No log | 2.5143 | 176 | 0.7680 | 0.7421 | 0.7680 | 0.8763 |
| No log | 2.5429 | 178 | 0.6825 | 0.7347 | 0.6825 | 0.8261 |
| No log | 2.5714 | 180 | 0.7136 | 0.7417 | 0.7136 | 0.8447 |
| No log | 2.6 | 182 | 1.0031 | 0.6552 | 1.0031 | 1.0016 |
| No log | 2.6286 | 184 | 1.4884 | 0.5882 | 1.4884 | 1.2200 |
| No log | 2.6571 | 186 | 1.5082 | 0.5918 | 1.5082 | 1.2281 |
| No log | 2.6857 | 188 | 1.0612 | 0.6444 | 1.0612 | 1.0301 |
| No log | 2.7143 | 190 | 0.7922 | 0.7394 | 0.7922 | 0.8900 |
| No log | 2.7429 | 192 | 0.7167 | 0.7763 | 0.7167 | 0.8466 |
| No log | 2.7714 | 194 | 0.6942 | 0.7703 | 0.6942 | 0.8332 |
| No log | 2.8 | 196 | 0.7139 | 0.7333 | 0.7139 | 0.8449 |
| No log | 2.8286 | 198 | 0.9951 | 0.6536 | 0.9951 | 0.9976 |
| No log | 2.8571 | 200 | 1.1553 | 0.6076 | 1.1553 | 1.0748 |
| No log | 2.8857 | 202 | 0.9356 | 0.6389 | 0.9356 | 0.9673 |
| No log | 2.9143 | 204 | 0.6792 | 0.7310 | 0.6792 | 0.8241 |
| No log | 2.9429 | 206 | 0.6677 | 0.7299 | 0.6677 | 0.8172 |
| No log | 2.9714 | 208 | 0.6288 | 0.7310 | 0.6288 | 0.7930 |
| No log | 3.0 | 210 | 0.6047 | 0.7651 | 0.6047 | 0.7776 |
| No log | 3.0286 | 212 | 0.7898 | 0.7561 | 0.7898 | 0.8887 |
| No log | 3.0571 | 214 | 0.9268 | 0.7086 | 0.9268 | 0.9627 |
| No log | 3.0857 | 216 | 0.8277 | 0.7471 | 0.8277 | 0.9098 |
| No log | 3.1143 | 218 | 0.6497 | 0.7975 | 0.6497 | 0.8060 |
| No log | 3.1429 | 220 | 0.6576 | 0.7297 | 0.6576 | 0.8109 |
| No log | 3.1714 | 222 | 0.7031 | 0.7361 | 0.7031 | 0.8385 |
| No log | 3.2 | 224 | 0.7445 | 0.7123 | 0.7445 | 0.8629 |
| No log | 3.2286 | 226 | 0.8831 | 0.6711 | 0.8831 | 0.9397 |
| No log | 3.2571 | 228 | 0.8761 | 0.6711 | 0.8761 | 0.9360 |
| No log | 3.2857 | 230 | 0.8129 | 0.6968 | 0.8129 | 0.9016 |
| No log | 3.3143 | 232 | 0.7422 | 0.7484 | 0.7422 | 0.8615 |
| No log | 3.3429 | 234 | 0.7093 | 0.7484 | 0.7093 | 0.8422 |
| No log | 3.3714 | 236 | 0.6901 | 0.7643 | 0.6901 | 0.8307 |
| No log | 3.4 | 238 | 0.7076 | 0.7901 | 0.7076 | 0.8412 |
| No log | 3.4286 | 240 | 0.7494 | 0.7484 | 0.7494 | 0.8657 |
| No log | 3.4571 | 242 | 0.7305 | 0.7564 | 0.7305 | 0.8547 |
| No log | 3.4857 | 244 | 0.6658 | 0.8 | 0.6658 | 0.8159 |
| No log | 3.5143 | 246 | 0.7157 | 0.7841 | 0.7157 | 0.8460 |
| No log | 3.5429 | 248 | 0.6763 | 0.7657 | 0.6763 | 0.8224 |
| No log | 3.5714 | 250 | 0.6247 | 0.7821 | 0.6247 | 0.7904 |
| No log | 3.6 | 252 | 0.6127 | 0.7568 | 0.6127 | 0.7827 |
| No log | 3.6286 | 254 | 0.6570 | 0.7632 | 0.6570 | 0.8106 |
| No log | 3.6571 | 256 | 0.7848 | 0.7421 | 0.7848 | 0.8859 |
| No log | 3.6857 | 258 | 0.8240 | 0.7337 | 0.8240 | 0.9077 |
| No log | 3.7143 | 260 | 0.7339 | 0.7805 | 0.7339 | 0.8567 |
| No log | 3.7429 | 262 | 0.6381 | 0.7815 | 0.6381 | 0.7988 |
| No log | 3.7714 | 264 | 0.6465 | 0.7763 | 0.6465 | 0.8040 |
| No log | 3.8 | 266 | 0.6982 | 0.7531 | 0.6982 | 0.8356 |
| No log | 3.8286 | 268 | 0.7898 | 0.7665 | 0.7898 | 0.8887 |
| No log | 3.8571 | 270 | 0.9187 | 0.6864 | 0.9187 | 0.9585 |
| No log | 3.8857 | 272 | 0.8977 | 0.6994 | 0.8977 | 0.9474 |
| No log | 3.9143 | 274 | 0.8022 | 0.7123 | 0.8022 | 0.8957 |
| No log | 3.9429 | 276 | 0.8298 | 0.6897 | 0.8298 | 0.9109 |
| No log | 3.9714 | 278 | 0.8631 | 0.6286 | 0.8631 | 0.9290 |
| No log | 4.0 | 280 | 0.9310 | 0.6434 | 0.9310 | 0.9649 |
| No log | 4.0286 | 282 | 0.9496 | 0.6710 | 0.9496 | 0.9745 |
| No log | 4.0571 | 284 | 0.8208 | 0.7308 | 0.8208 | 0.9060 |
| No log | 4.0857 | 286 | 0.7354 | 0.7260 | 0.7354 | 0.8575 |
| No log | 4.1143 | 288 | 0.7180 | 0.7451 | 0.7180 | 0.8473 |
| No log | 4.1429 | 290 | 0.7044 | 0.7432 | 0.7044 | 0.8393 |
| No log | 4.1714 | 292 | 0.7279 | 0.7432 | 0.7279 | 0.8532 |
| No log | 4.2 | 294 | 0.8105 | 0.7013 | 0.8105 | 0.9003 |
| No log | 4.2286 | 296 | 0.9456 | 0.6790 | 0.9456 | 0.9724 |
| No log | 4.2571 | 298 | 0.8980 | 0.6711 | 0.8980 | 0.9476 |
| No log | 4.2857 | 300 | 0.7914 | 0.6809 | 0.7914 | 0.8896 |
| No log | 4.3143 | 302 | 0.8844 | 0.6 | 0.8844 | 0.9404 |
| No log | 4.3429 | 304 | 0.9099 | 0.6364 | 0.9099 | 0.9539 |
| No log | 4.3714 | 306 | 0.7733 | 0.7153 | 0.7733 | 0.8794 |
| No log | 4.4 | 308 | 0.8579 | 0.6187 | 0.8579 | 0.9262 |
| No log | 4.4286 | 310 | 1.0384 | 0.6533 | 1.0384 | 1.0190 |
| No log | 4.4571 | 312 | 0.8761 | 0.6800 | 0.8761 | 0.9360 |
| No log | 4.4857 | 314 | 0.6165 | 0.7347 | 0.6165 | 0.7852 |
| No log | 4.5143 | 316 | 0.6132 | 0.7651 | 0.6132 | 0.7831 |
| No log | 4.5429 | 318 | 0.6216 | 0.7651 | 0.6216 | 0.7884 |
| No log | 4.5714 | 320 | 0.6747 | 0.7792 | 0.6747 | 0.8214 |
| No log | 4.6 | 322 | 0.7384 | 0.7075 | 0.7384 | 0.8593 |
| No log | 4.6286 | 324 | 0.8263 | 0.6939 | 0.8263 | 0.9090 |
| No log | 4.6571 | 326 | 0.7775 | 0.6475 | 0.7775 | 0.8817 |
| No log | 4.6857 | 328 | 0.7479 | 0.6906 | 0.7479 | 0.8648 |
| No log | 4.7143 | 330 | 0.7356 | 0.7143 | 0.7356 | 0.8577 |
| No log | 4.7429 | 332 | 0.7349 | 0.7517 | 0.7349 | 0.8572 |
| No log | 4.7714 | 334 | 0.8044 | 0.7006 | 0.8044 | 0.8969 |
| No log | 4.8 | 336 | 0.7468 | 0.7237 | 0.7468 | 0.8642 |
| No log | 4.8286 | 338 | 0.7332 | 0.7237 | 0.7332 | 0.8562 |
| No log | 4.8571 | 340 | 0.6680 | 0.7821 | 0.6680 | 0.8173 |
| No log | 4.8857 | 342 | 0.6254 | 0.7922 | 0.6254 | 0.7908 |
| No log | 4.9143 | 344 | 0.6413 | 0.7922 | 0.6413 | 0.8008 |
| No log | 4.9429 | 346 | 0.6940 | 0.7484 | 0.6940 | 0.8331 |
| No log | 4.9714 | 348 | 0.7442 | 0.7105 | 0.7442 | 0.8627 |
| No log | 5.0 | 350 | 0.7520 | 0.6933 | 0.7520 | 0.8672 |
| No log | 5.0286 | 352 | 0.7178 | 0.7320 | 0.7178 | 0.8472 |
| No log | 5.0571 | 354 | 0.7060 | 0.7692 | 0.7060 | 0.8402 |
| No log | 5.0857 | 356 | 0.7451 | 0.7910 | 0.7451 | 0.8632 |
| No log | 5.1143 | 358 | 0.9936 | 0.7072 | 0.9936 | 0.9968 |
| No log | 5.1429 | 360 | 1.3470 | 0.6162 | 1.3470 | 1.1606 |
| No log | 5.1714 | 362 | 1.1778 | 0.6492 | 1.1778 | 1.0853 |
| No log | 5.2 | 364 | 0.9131 | 0.7143 | 0.9131 | 0.9555 |
| No log | 5.2286 | 366 | 0.6603 | 0.8193 | 0.6603 | 0.8126 |
| No log | 5.2571 | 368 | 0.6685 | 0.7763 | 0.6685 | 0.8176 |
| No log | 5.2857 | 370 | 0.7316 | 0.7248 | 0.7316 | 0.8554 |
| No log | 5.3143 | 372 | 0.7914 | 0.7172 | 0.7914 | 0.8896 |
| No log | 5.3429 | 374 | 0.7823 | 0.6901 | 0.7823 | 0.8845 |
| No log | 5.3714 | 376 | 0.7529 | 0.7143 | 0.7529 | 0.8677 |
| No log | 5.4 | 378 | 0.7331 | 0.7101 | 0.7331 | 0.8562 |
| No log | 5.4286 | 380 | 0.6654 | 0.7376 | 0.6654 | 0.8157 |
| No log | 5.4571 | 382 | 0.6516 | 0.7671 | 0.6516 | 0.8072 |
| No log | 5.4857 | 384 | 0.6583 | 0.7785 | 0.6583 | 0.8114 |
| No log | 5.5143 | 386 | 0.6306 | 0.7651 | 0.6306 | 0.7941 |
| No log | 5.5429 | 388 | 0.6281 | 0.75 | 0.6281 | 0.7925 |
| No log | 5.5714 | 390 | 0.6373 | 0.7619 | 0.6373 | 0.7983 |
| No log | 5.6 | 392 | 0.6894 | 0.7682 | 0.6894 | 0.8303 |
| No log | 5.6286 | 394 | 0.8273 | 0.6986 | 0.8273 | 0.9096 |
| No log | 5.6571 | 396 | 1.0006 | 0.6316 | 1.0006 | 1.0003 |
| No log | 5.6857 | 398 | 0.9414 | 0.6351 | 0.9414 | 0.9703 |
| No log | 5.7143 | 400 | 0.8222 | 0.6713 | 0.8222 | 0.9067 |
| No log | 5.7429 | 402 | 0.7177 | 0.7483 | 0.7177 | 0.8472 |
| No log | 5.7714 | 404 | 0.6607 | 0.7619 | 0.6607 | 0.8129 |
| No log | 5.8 | 406 | 0.6270 | 0.7619 | 0.6270 | 0.7918 |
| No log | 5.8286 | 408 | 0.5990 | 0.7763 | 0.5990 | 0.7740 |
| No log | 5.8571 | 410 | 0.6002 | 0.7651 | 0.6002 | 0.7747 |
| No log | 5.8857 | 412 | 0.6093 | 0.7651 | 0.6093 | 0.7806 |
| No log | 5.9143 | 414 | 0.6287 | 0.7651 | 0.6287 | 0.7929 |
| No log | 5.9429 | 416 | 0.6570 | 0.7619 | 0.6570 | 0.8105 |
| No log | 5.9714 | 418 | 0.6428 | 0.7619 | 0.6428 | 0.8017 |
| No log | 6.0 | 420 | 0.6348 | 0.7703 | 0.6348 | 0.7967 |
| No log | 6.0286 | 422 | 0.6902 | 0.7564 | 0.6902 | 0.8308 |
| No log | 6.0571 | 424 | 0.6860 | 0.7673 | 0.6860 | 0.8282 |
| No log | 6.0857 | 426 | 0.5584 | 0.8026 | 0.5584 | 0.7472 |
| No log | 6.1143 | 428 | 0.5379 | 0.7733 | 0.5379 | 0.7334 |
| No log | 6.1429 | 430 | 0.5858 | 0.7568 | 0.5858 | 0.7654 |
| No log | 6.1714 | 432 | 0.6087 | 0.7733 | 0.6087 | 0.7802 |
| No log | 6.2 | 434 | 0.6601 | 0.7763 | 0.6601 | 0.8124 |
| No log | 6.2286 | 436 | 0.7460 | 0.7397 | 0.7460 | 0.8637 |
| No log | 6.2571 | 438 | 0.7745 | 0.6861 | 0.7745 | 0.8801 |
| No log | 6.2857 | 440 | 0.8056 | 0.7059 | 0.8056 | 0.8976 |
| No log | 6.3143 | 442 | 0.8063 | 0.6866 | 0.8063 | 0.8980 |
| No log | 6.3429 | 444 | 0.7635 | 0.7299 | 0.7635 | 0.8738 |
| No log | 6.3714 | 446 | 0.7339 | 0.7206 | 0.7339 | 0.8567 |
| No log | 6.4 | 448 | 0.7551 | 0.7083 | 0.7551 | 0.8690 |
| No log | 6.4286 | 450 | 0.7595 | 0.6853 | 0.7595 | 0.8715 |
| No log | 6.4571 | 452 | 0.6747 | 0.7310 | 0.6747 | 0.8214 |
| No log | 6.4857 | 454 | 0.6087 | 0.7785 | 0.6087 | 0.7802 |
| No log | 6.5143 | 456 | 0.6404 | 0.75 | 0.6404 | 0.8002 |
| No log | 6.5429 | 458 | 0.7464 | 0.7222 | 0.7464 | 0.8639 |
| No log | 6.5714 | 460 | 0.7396 | 0.7703 | 0.7396 | 0.8600 |
| No log | 6.6 | 462 | 0.6884 | 0.7682 | 0.6884 | 0.8297 |
| No log | 6.6286 | 464 | 0.7826 | 0.7453 | 0.7826 | 0.8846 |
| No log | 6.6571 | 466 | 0.9770 | 0.6893 | 0.9770 | 0.9885 |
| No log | 6.6857 | 468 | 0.9697 | 0.6829 | 0.9697 | 0.9847 |
| No log | 6.7143 | 470 | 0.8184 | 0.7273 | 0.8184 | 0.9046 |
| No log | 6.7429 | 472 | 0.6792 | 0.7448 | 0.6792 | 0.8241 |
| No log | 6.7714 | 474 | 0.6384 | 0.7619 | 0.6384 | 0.7990 |
| No log | 6.8 | 476 | 0.6358 | 0.7619 | 0.6358 | 0.7974 |
| No log | 6.8286 | 478 | 0.6498 | 0.7922 | 0.6498 | 0.8061 |
| No log | 6.8571 | 480 | 0.6490 | 0.8118 | 0.6490 | 0.8056 |
| No log | 6.8857 | 482 | 0.6923 | 0.8092 | 0.6923 | 0.8320 |
| No log | 6.9143 | 484 | 0.6506 | 0.8187 | 0.6506 | 0.8066 |
| No log | 6.9429 | 486 | 0.6247 | 0.7976 | 0.6247 | 0.7904 |
| No log | 6.9714 | 488 | 0.6320 | 0.8125 | 0.6320 | 0.7950 |
| No log | 7.0 | 490 | 0.6711 | 0.7922 | 0.6711 | 0.8192 |
| No log | 7.0286 | 492 | 0.6925 | 0.7815 | 0.6925 | 0.8322 |
| No log | 7.0571 | 494 | 0.6679 | 0.7843 | 0.6679 | 0.8173 |
| No log | 7.0857 | 496 | 0.6258 | 0.7949 | 0.6258 | 0.7911 |
| No log | 7.1143 | 498 | 0.5758 | 0.8025 | 0.5758 | 0.7588 |
| 0.4153 | 7.1429 | 500 | 0.5477 | 0.8025 | 0.5477 | 0.7401 |
| 0.4153 | 7.1714 | 502 | 0.5532 | 0.8025 | 0.5532 | 0.7437 |
| 0.4153 | 7.2 | 504 | 0.5548 | 0.7922 | 0.5548 | 0.7449 |
| 0.4153 | 7.2286 | 506 | 0.5866 | 0.7619 | 0.5866 | 0.7659 |
| 0.4153 | 7.2571 | 508 | 0.6897 | 0.7671 | 0.6897 | 0.8305 |
| 0.4153 | 7.2857 | 510 | 0.8429 | 0.6573 | 0.8429 | 0.9181 |
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_usingALLEssays_FineTuningAraBERT_run1_AugV5_k15_task1_organization
Base model
aubmindlab/bert-base-arabertv02