Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_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: 0.7235
- Qwk: 0.6465
- Mse: 0.7235
- Rmse: 0.8506
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 | 0.0225 | 2 | 5.6009 | -0.0228 | 5.6009 | 2.3666 |
| No log | 0.0449 | 4 | 3.6243 | 0.0590 | 3.6243 | 1.9037 |
| No log | 0.0674 | 6 | 2.2686 | 0.0725 | 2.2686 | 1.5062 |
| No log | 0.0899 | 8 | 2.1633 | -0.0471 | 2.1633 | 1.4708 |
| No log | 0.1124 | 10 | 1.7894 | 0.0408 | 1.7894 | 1.3377 |
| No log | 0.1348 | 12 | 1.3165 | 0.1631 | 1.3165 | 1.1474 |
| No log | 0.1573 | 14 | 1.2352 | 0.2389 | 1.2352 | 1.1114 |
| No log | 0.1798 | 16 | 1.1970 | 0.2773 | 1.1970 | 1.0941 |
| No log | 0.2022 | 18 | 1.2053 | 0.1799 | 1.2053 | 1.0979 |
| No log | 0.2247 | 20 | 1.2091 | 0.1703 | 1.2091 | 1.0996 |
| No log | 0.2472 | 22 | 1.2570 | 0.2396 | 1.2570 | 1.1212 |
| No log | 0.2697 | 24 | 1.2684 | 0.2670 | 1.2684 | 1.1262 |
| No log | 0.2921 | 26 | 1.2315 | 0.1965 | 1.2315 | 1.1097 |
| No log | 0.3146 | 28 | 1.2474 | 0.1695 | 1.2474 | 1.1169 |
| No log | 0.3371 | 30 | 1.1640 | 0.2578 | 1.1640 | 1.0789 |
| No log | 0.3596 | 32 | 1.1495 | 0.2501 | 1.1495 | 1.0722 |
| No log | 0.3820 | 34 | 1.1653 | 0.2722 | 1.1653 | 1.0795 |
| No log | 0.4045 | 36 | 1.1228 | 0.2715 | 1.1228 | 1.0596 |
| No log | 0.4270 | 38 | 1.1394 | 0.1985 | 1.1394 | 1.0674 |
| No log | 0.4494 | 40 | 1.1604 | 0.2050 | 1.1604 | 1.0772 |
| No log | 0.4719 | 42 | 1.0301 | 0.3485 | 1.0301 | 1.0149 |
| No log | 0.4944 | 44 | 1.0312 | 0.4037 | 1.0312 | 1.0155 |
| No log | 0.5169 | 46 | 1.1133 | 0.3304 | 1.1133 | 1.0551 |
| No log | 0.5393 | 48 | 1.0565 | 0.4120 | 1.0565 | 1.0279 |
| No log | 0.5618 | 50 | 0.8626 | 0.4725 | 0.8626 | 0.9287 |
| No log | 0.5843 | 52 | 0.7872 | 0.4936 | 0.7872 | 0.8872 |
| No log | 0.6067 | 54 | 0.7591 | 0.5667 | 0.7591 | 0.8713 |
| No log | 0.6292 | 56 | 0.8761 | 0.6104 | 0.8761 | 0.9360 |
| No log | 0.6517 | 58 | 0.8229 | 0.5908 | 0.8229 | 0.9072 |
| No log | 0.6742 | 60 | 0.7790 | 0.6350 | 0.7790 | 0.8826 |
| No log | 0.6966 | 62 | 0.8178 | 0.6300 | 0.8178 | 0.9043 |
| No log | 0.7191 | 64 | 0.7781 | 0.6312 | 0.7781 | 0.8821 |
| No log | 0.7416 | 66 | 0.7113 | 0.6747 | 0.7113 | 0.8434 |
| No log | 0.7640 | 68 | 0.7513 | 0.6513 | 0.7513 | 0.8668 |
| No log | 0.7865 | 70 | 0.8382 | 0.5995 | 0.8382 | 0.9155 |
| No log | 0.8090 | 72 | 0.8121 | 0.5955 | 0.8121 | 0.9012 |
| No log | 0.8315 | 74 | 0.7124 | 0.6654 | 0.7124 | 0.8440 |
| No log | 0.8539 | 76 | 0.6389 | 0.7084 | 0.6389 | 0.7993 |
| No log | 0.8764 | 78 | 0.6755 | 0.6686 | 0.6755 | 0.8219 |
| No log | 0.8989 | 80 | 1.0106 | 0.5965 | 1.0106 | 1.0053 |
| No log | 0.9213 | 82 | 1.1349 | 0.5117 | 1.1349 | 1.0653 |
| No log | 0.9438 | 84 | 0.8591 | 0.6302 | 0.8591 | 0.9269 |
| No log | 0.9663 | 86 | 0.6454 | 0.7111 | 0.6454 | 0.8034 |
| No log | 0.9888 | 88 | 0.6586 | 0.6770 | 0.6586 | 0.8115 |
| No log | 1.0112 | 90 | 0.7833 | 0.5775 | 0.7833 | 0.8851 |
| No log | 1.0337 | 92 | 1.0001 | 0.5443 | 1.0001 | 1.0001 |
| No log | 1.0562 | 94 | 1.0511 | 0.5366 | 1.0511 | 1.0252 |
| No log | 1.0787 | 96 | 0.7918 | 0.6137 | 0.7918 | 0.8898 |
| No log | 1.1011 | 98 | 0.7993 | 0.6355 | 0.7993 | 0.8940 |
| No log | 1.1236 | 100 | 0.9362 | 0.5900 | 0.9362 | 0.9676 |
| No log | 1.1461 | 102 | 0.8807 | 0.5823 | 0.8807 | 0.9384 |
| No log | 1.1685 | 104 | 0.6652 | 0.7034 | 0.6652 | 0.8156 |
| No log | 1.1910 | 106 | 0.6537 | 0.6945 | 0.6537 | 0.8085 |
| No log | 1.2135 | 108 | 0.6647 | 0.6573 | 0.6647 | 0.8153 |
| No log | 1.2360 | 110 | 0.6865 | 0.6154 | 0.6865 | 0.8286 |
| No log | 1.2584 | 112 | 0.6958 | 0.6123 | 0.6958 | 0.8342 |
| No log | 1.2809 | 114 | 0.6537 | 0.6379 | 0.6537 | 0.8085 |
| No log | 1.3034 | 116 | 0.6932 | 0.6481 | 0.6932 | 0.8326 |
| No log | 1.3258 | 118 | 0.6517 | 0.7099 | 0.6517 | 0.8073 |
| No log | 1.3483 | 120 | 0.6436 | 0.7115 | 0.6436 | 0.8023 |
| No log | 1.3708 | 122 | 0.6869 | 0.6750 | 0.6869 | 0.8288 |
| No log | 1.3933 | 124 | 0.6410 | 0.7172 | 0.6410 | 0.8007 |
| No log | 1.4157 | 126 | 0.6409 | 0.7273 | 0.6409 | 0.8006 |
| No log | 1.4382 | 128 | 0.6624 | 0.7044 | 0.6624 | 0.8139 |
| No log | 1.4607 | 130 | 0.6493 | 0.6766 | 0.6493 | 0.8058 |
| No log | 1.4831 | 132 | 0.6457 | 0.6883 | 0.6457 | 0.8036 |
| No log | 1.5056 | 134 | 0.6764 | 0.6998 | 0.6764 | 0.8224 |
| No log | 1.5281 | 136 | 0.6862 | 0.7075 | 0.6862 | 0.8284 |
| No log | 1.5506 | 138 | 0.6357 | 0.7219 | 0.6357 | 0.7973 |
| No log | 1.5730 | 140 | 0.6436 | 0.7352 | 0.6436 | 0.8022 |
| No log | 1.5955 | 142 | 0.6651 | 0.7094 | 0.6651 | 0.8155 |
| No log | 1.6180 | 144 | 0.7199 | 0.6763 | 0.7199 | 0.8485 |
| No log | 1.6404 | 146 | 0.6838 | 0.7166 | 0.6838 | 0.8269 |
| No log | 1.6629 | 148 | 0.6654 | 0.7318 | 0.6654 | 0.8157 |
| No log | 1.6854 | 150 | 0.7746 | 0.6929 | 0.7746 | 0.8801 |
| No log | 1.7079 | 152 | 1.1325 | 0.4866 | 1.1325 | 1.0642 |
| No log | 1.7303 | 154 | 1.1157 | 0.4817 | 1.1157 | 1.0563 |
| No log | 1.7528 | 156 | 0.8225 | 0.6560 | 0.8225 | 0.9069 |
| No log | 1.7753 | 158 | 0.7163 | 0.6523 | 0.7163 | 0.8463 |
| No log | 1.7978 | 160 | 0.6953 | 0.6375 | 0.6953 | 0.8338 |
| No log | 1.8202 | 162 | 0.6890 | 0.6336 | 0.6890 | 0.8301 |
| No log | 1.8427 | 164 | 0.6673 | 0.6373 | 0.6673 | 0.8169 |
| No log | 1.8652 | 166 | 0.6995 | 0.6336 | 0.6995 | 0.8364 |
| No log | 1.8876 | 168 | 0.6707 | 0.6365 | 0.6707 | 0.8189 |
| No log | 1.9101 | 170 | 0.6509 | 0.6510 | 0.6509 | 0.8068 |
| No log | 1.9326 | 172 | 0.6599 | 0.6218 | 0.6599 | 0.8124 |
| No log | 1.9551 | 174 | 0.8117 | 0.6104 | 0.8117 | 0.9010 |
| No log | 1.9775 | 176 | 0.8936 | 0.6074 | 0.8936 | 0.9453 |
| No log | 2.0 | 178 | 0.7225 | 0.6271 | 0.7225 | 0.8500 |
| No log | 2.0225 | 180 | 0.7182 | 0.5955 | 0.7182 | 0.8474 |
| No log | 2.0449 | 182 | 0.8381 | 0.6032 | 0.8381 | 0.9155 |
| No log | 2.0674 | 184 | 0.7593 | 0.5804 | 0.7593 | 0.8714 |
| No log | 2.0899 | 186 | 0.6959 | 0.6053 | 0.6959 | 0.8342 |
| No log | 2.1124 | 188 | 0.7028 | 0.6096 | 0.7028 | 0.8383 |
| No log | 2.1348 | 190 | 0.7365 | 0.5651 | 0.7365 | 0.8582 |
| No log | 2.1573 | 192 | 0.7406 | 0.5407 | 0.7406 | 0.8606 |
| No log | 2.1798 | 194 | 0.7920 | 0.5679 | 0.7920 | 0.8899 |
| No log | 2.2022 | 196 | 0.7737 | 0.5883 | 0.7737 | 0.8796 |
| No log | 2.2247 | 198 | 0.6954 | 0.5464 | 0.6954 | 0.8339 |
| No log | 2.2472 | 200 | 0.7188 | 0.6248 | 0.7188 | 0.8478 |
| No log | 2.2697 | 202 | 0.7507 | 0.6267 | 0.7507 | 0.8664 |
| No log | 2.2921 | 204 | 0.6794 | 0.6858 | 0.6794 | 0.8243 |
| No log | 2.3146 | 206 | 0.6817 | 0.6518 | 0.6817 | 0.8256 |
| No log | 2.3371 | 208 | 0.6905 | 0.6530 | 0.6905 | 0.8309 |
| No log | 2.3596 | 210 | 0.7058 | 0.6222 | 0.7058 | 0.8401 |
| No log | 2.3820 | 212 | 0.6875 | 0.6385 | 0.6875 | 0.8292 |
| No log | 2.4045 | 214 | 0.6464 | 0.6649 | 0.6464 | 0.8040 |
| No log | 2.4270 | 216 | 0.6365 | 0.6932 | 0.6365 | 0.7978 |
| No log | 2.4494 | 218 | 0.6375 | 0.7076 | 0.6375 | 0.7985 |
| No log | 2.4719 | 220 | 0.6256 | 0.6726 | 0.6256 | 0.7909 |
| No log | 2.4944 | 222 | 0.6181 | 0.6756 | 0.6181 | 0.7862 |
| No log | 2.5169 | 224 | 0.6382 | 0.6974 | 0.6382 | 0.7989 |
| No log | 2.5393 | 226 | 0.6211 | 0.6700 | 0.6211 | 0.7881 |
| No log | 2.5618 | 228 | 0.6405 | 0.6777 | 0.6405 | 0.8003 |
| No log | 2.5843 | 230 | 0.7690 | 0.6609 | 0.7690 | 0.8769 |
| No log | 2.6067 | 232 | 0.7861 | 0.6600 | 0.7861 | 0.8866 |
| No log | 2.6292 | 234 | 0.7464 | 0.6694 | 0.7464 | 0.8640 |
| No log | 2.6517 | 236 | 0.7080 | 0.6436 | 0.7080 | 0.8414 |
| No log | 2.6742 | 238 | 0.6340 | 0.6631 | 0.6340 | 0.7962 |
| No log | 2.6966 | 240 | 0.6777 | 0.7287 | 0.6777 | 0.8232 |
| No log | 2.7191 | 242 | 0.6845 | 0.7460 | 0.6845 | 0.8274 |
| No log | 2.7416 | 244 | 0.6378 | 0.7085 | 0.6378 | 0.7986 |
| No log | 2.7640 | 246 | 0.6803 | 0.6773 | 0.6803 | 0.8248 |
| No log | 2.7865 | 248 | 0.7018 | 0.6682 | 0.7018 | 0.8377 |
| No log | 2.8090 | 250 | 0.6427 | 0.6898 | 0.6427 | 0.8017 |
| No log | 2.8315 | 252 | 0.6230 | 0.7635 | 0.6230 | 0.7893 |
| No log | 2.8539 | 254 | 0.6190 | 0.7628 | 0.6190 | 0.7868 |
| No log | 2.8764 | 256 | 0.6487 | 0.6793 | 0.6487 | 0.8054 |
| No log | 2.8989 | 258 | 0.6914 | 0.6807 | 0.6914 | 0.8315 |
| No log | 2.9213 | 260 | 0.7326 | 0.6953 | 0.7326 | 0.8559 |
| No log | 2.9438 | 262 | 0.7258 | 0.6988 | 0.7258 | 0.8520 |
| No log | 2.9663 | 264 | 0.7757 | 0.7193 | 0.7757 | 0.8808 |
| No log | 2.9888 | 266 | 0.7599 | 0.7092 | 0.7599 | 0.8717 |
| No log | 3.0112 | 268 | 0.7248 | 0.7075 | 0.7248 | 0.8514 |
| No log | 3.0337 | 270 | 0.7883 | 0.6938 | 0.7883 | 0.8879 |
| No log | 3.0562 | 272 | 0.8026 | 0.7011 | 0.8026 | 0.8959 |
| No log | 3.0787 | 274 | 0.7691 | 0.6538 | 0.7691 | 0.8770 |
| No log | 3.1011 | 276 | 0.7001 | 0.6663 | 0.7001 | 0.8367 |
| No log | 3.1236 | 278 | 0.6761 | 0.6863 | 0.6761 | 0.8223 |
| No log | 3.1461 | 280 | 0.6943 | 0.6282 | 0.6943 | 0.8333 |
| No log | 3.1685 | 282 | 0.6992 | 0.6132 | 0.6992 | 0.8362 |
| No log | 3.1910 | 284 | 0.7323 | 0.5870 | 0.7323 | 0.8557 |
| No log | 3.2135 | 286 | 0.8155 | 0.5919 | 0.8155 | 0.9030 |
| No log | 3.2360 | 288 | 0.7897 | 0.5919 | 0.7897 | 0.8886 |
| No log | 3.2584 | 290 | 0.6739 | 0.6540 | 0.6739 | 0.8209 |
| No log | 3.2809 | 292 | 0.6299 | 0.7048 | 0.6299 | 0.7937 |
| No log | 3.3034 | 294 | 0.6310 | 0.7125 | 0.6310 | 0.7944 |
| No log | 3.3258 | 296 | 0.6960 | 0.6780 | 0.6960 | 0.8343 |
| No log | 3.3483 | 298 | 0.9045 | 0.6086 | 0.9045 | 0.9510 |
| No log | 3.3708 | 300 | 1.1398 | 0.4678 | 1.1398 | 1.0676 |
| No log | 3.3933 | 302 | 1.1696 | 0.4337 | 1.1696 | 1.0815 |
| No log | 3.4157 | 304 | 1.0464 | 0.5198 | 1.0464 | 1.0229 |
| No log | 3.4382 | 306 | 0.9093 | 0.5274 | 0.9093 | 0.9536 |
| No log | 3.4607 | 308 | 0.8477 | 0.5364 | 0.8477 | 0.9207 |
| No log | 3.4831 | 310 | 0.8424 | 0.5622 | 0.8424 | 0.9178 |
| No log | 3.5056 | 312 | 0.7752 | 0.5958 | 0.7752 | 0.8804 |
| No log | 3.5281 | 314 | 0.7038 | 0.6295 | 0.7038 | 0.8389 |
| No log | 3.5506 | 316 | 0.7024 | 0.6203 | 0.7024 | 0.8381 |
| No log | 3.5730 | 318 | 0.8051 | 0.6101 | 0.8051 | 0.8973 |
| No log | 3.5955 | 320 | 1.0450 | 0.5458 | 1.0450 | 1.0222 |
| No log | 3.6180 | 322 | 1.0654 | 0.5594 | 1.0654 | 1.0322 |
| No log | 3.6404 | 324 | 0.8623 | 0.5924 | 0.8623 | 0.9286 |
| No log | 3.6629 | 326 | 0.6735 | 0.6398 | 0.6735 | 0.8207 |
| No log | 3.6854 | 328 | 0.6463 | 0.6375 | 0.6463 | 0.8039 |
| No log | 3.7079 | 330 | 0.7171 | 0.6507 | 0.7171 | 0.8468 |
| No log | 3.7303 | 332 | 0.7240 | 0.6457 | 0.7240 | 0.8509 |
| No log | 3.7528 | 334 | 0.6797 | 0.6085 | 0.6797 | 0.8244 |
| No log | 3.7753 | 336 | 0.6454 | 0.6502 | 0.6454 | 0.8034 |
| No log | 3.7978 | 338 | 0.6329 | 0.6835 | 0.6329 | 0.7956 |
| No log | 3.8202 | 340 | 0.6303 | 0.6790 | 0.6303 | 0.7939 |
| No log | 3.8427 | 342 | 0.7014 | 0.6685 | 0.7014 | 0.8375 |
| No log | 3.8652 | 344 | 0.8944 | 0.6221 | 0.8944 | 0.9458 |
| No log | 3.8876 | 346 | 0.9643 | 0.5780 | 0.9643 | 0.9820 |
| No log | 3.9101 | 348 | 0.8235 | 0.6487 | 0.8235 | 0.9075 |
| No log | 3.9326 | 350 | 0.6375 | 0.7180 | 0.6375 | 0.7984 |
| No log | 3.9551 | 352 | 0.6008 | 0.7060 | 0.6008 | 0.7751 |
| No log | 3.9775 | 354 | 0.5981 | 0.7015 | 0.5981 | 0.7734 |
| No log | 4.0 | 356 | 0.5953 | 0.7043 | 0.5953 | 0.7716 |
| No log | 4.0225 | 358 | 0.6959 | 0.6872 | 0.6959 | 0.8342 |
| No log | 4.0449 | 360 | 0.8154 | 0.6339 | 0.8154 | 0.9030 |
| No log | 4.0674 | 362 | 0.7852 | 0.6430 | 0.7852 | 0.8861 |
| No log | 4.0899 | 364 | 0.7623 | 0.6448 | 0.7623 | 0.8731 |
| No log | 4.1124 | 366 | 0.6860 | 0.6584 | 0.6860 | 0.8283 |
| No log | 4.1348 | 368 | 0.6591 | 0.6189 | 0.6591 | 0.8119 |
| No log | 4.1573 | 370 | 0.6788 | 0.6249 | 0.6788 | 0.8239 |
| No log | 4.1798 | 372 | 0.7403 | 0.6393 | 0.7403 | 0.8604 |
| No log | 4.2022 | 374 | 0.7136 | 0.6296 | 0.7136 | 0.8447 |
| No log | 4.2247 | 376 | 0.6484 | 0.6381 | 0.6484 | 0.8052 |
| No log | 4.2472 | 378 | 0.6315 | 0.6717 | 0.6315 | 0.7947 |
| No log | 4.2697 | 380 | 0.6375 | 0.6663 | 0.6375 | 0.7985 |
| No log | 4.2921 | 382 | 0.7229 | 0.6463 | 0.7229 | 0.8502 |
| No log | 4.3146 | 384 | 0.8826 | 0.6101 | 0.8826 | 0.9395 |
| No log | 4.3371 | 386 | 0.9396 | 0.6098 | 0.9396 | 0.9693 |
| No log | 4.3596 | 388 | 0.8970 | 0.6074 | 0.8970 | 0.9471 |
| No log | 4.3820 | 390 | 0.7555 | 0.6297 | 0.7555 | 0.8692 |
| No log | 4.4045 | 392 | 0.6482 | 0.6460 | 0.6482 | 0.8051 |
| No log | 4.4270 | 394 | 0.6353 | 0.6576 | 0.6353 | 0.7971 |
| No log | 4.4494 | 396 | 0.6428 | 0.6322 | 0.6428 | 0.8017 |
| No log | 4.4719 | 398 | 0.6826 | 0.6219 | 0.6826 | 0.8262 |
| No log | 4.4944 | 400 | 0.6985 | 0.6324 | 0.6985 | 0.8358 |
| No log | 4.5169 | 402 | 0.6446 | 0.6614 | 0.6446 | 0.8029 |
| No log | 4.5393 | 404 | 0.6003 | 0.7136 | 0.6003 | 0.7748 |
| No log | 4.5618 | 406 | 0.6113 | 0.6945 | 0.6113 | 0.7818 |
| No log | 4.5843 | 408 | 0.6233 | 0.6799 | 0.6233 | 0.7895 |
| No log | 4.6067 | 410 | 0.6897 | 0.6403 | 0.6897 | 0.8305 |
| No log | 4.6292 | 412 | 0.7896 | 0.6315 | 0.7896 | 0.8886 |
| No log | 4.6517 | 414 | 0.7874 | 0.6351 | 0.7874 | 0.8874 |
| No log | 4.6742 | 416 | 0.6949 | 0.6057 | 0.6949 | 0.8336 |
| No log | 4.6966 | 418 | 0.6603 | 0.6272 | 0.6603 | 0.8126 |
| No log | 4.7191 | 420 | 0.6720 | 0.6519 | 0.6720 | 0.8198 |
| No log | 4.7416 | 422 | 0.6439 | 0.6891 | 0.6439 | 0.8024 |
| No log | 4.7640 | 424 | 0.6230 | 0.6758 | 0.6230 | 0.7893 |
| No log | 4.7865 | 426 | 0.6980 | 0.6502 | 0.6980 | 0.8354 |
| No log | 4.8090 | 428 | 0.8352 | 0.6341 | 0.8352 | 0.9139 |
| No log | 4.8315 | 430 | 0.9260 | 0.6009 | 0.9260 | 0.9623 |
| No log | 4.8539 | 432 | 0.8457 | 0.6152 | 0.8457 | 0.9196 |
| No log | 4.8764 | 434 | 0.7205 | 0.6894 | 0.7205 | 0.8488 |
| No log | 4.8989 | 436 | 0.6815 | 0.6802 | 0.6815 | 0.8255 |
| No log | 4.9213 | 438 | 0.6885 | 0.6603 | 0.6885 | 0.8298 |
| No log | 4.9438 | 440 | 0.7584 | 0.6238 | 0.7584 | 0.8709 |
| No log | 4.9663 | 442 | 0.8318 | 0.6032 | 0.8318 | 0.9120 |
| No log | 4.9888 | 444 | 0.8600 | 0.5873 | 0.8600 | 0.9274 |
| No log | 5.0112 | 446 | 0.8959 | 0.5665 | 0.8959 | 0.9465 |
| No log | 5.0337 | 448 | 0.8904 | 0.5717 | 0.8904 | 0.9436 |
| No log | 5.0562 | 450 | 0.8125 | 0.6107 | 0.8125 | 0.9014 |
| No log | 5.0787 | 452 | 0.6742 | 0.6973 | 0.6742 | 0.8211 |
| No log | 5.1011 | 454 | 0.6539 | 0.7316 | 0.6539 | 0.8087 |
| No log | 5.1236 | 456 | 0.6473 | 0.7291 | 0.6473 | 0.8046 |
| No log | 5.1461 | 458 | 0.6694 | 0.6902 | 0.6694 | 0.8182 |
| No log | 5.1685 | 460 | 0.7910 | 0.6284 | 0.7910 | 0.8894 |
| No log | 5.1910 | 462 | 0.7986 | 0.6267 | 0.7986 | 0.8936 |
| No log | 5.2135 | 464 | 0.7005 | 0.6413 | 0.7005 | 0.8369 |
| No log | 5.2360 | 466 | 0.6304 | 0.7036 | 0.6304 | 0.7940 |
| No log | 5.2584 | 468 | 0.6215 | 0.7230 | 0.6215 | 0.7884 |
| No log | 5.2809 | 470 | 0.6903 | 0.6821 | 0.6903 | 0.8308 |
| No log | 5.3034 | 472 | 0.8702 | 0.6111 | 0.8702 | 0.9328 |
| No log | 5.3258 | 474 | 1.0105 | 0.5718 | 1.0105 | 1.0052 |
| No log | 5.3483 | 476 | 0.9643 | 0.5841 | 0.9643 | 0.9820 |
| No log | 5.3708 | 478 | 0.8019 | 0.6401 | 0.8019 | 0.8955 |
| No log | 5.3933 | 480 | 0.7100 | 0.6802 | 0.7100 | 0.8426 |
| No log | 5.4157 | 482 | 0.7891 | 0.6464 | 0.7891 | 0.8883 |
| No log | 5.4382 | 484 | 0.9864 | 0.6020 | 0.9864 | 0.9932 |
| No log | 5.4607 | 486 | 1.0783 | 0.5648 | 1.0783 | 1.0384 |
| No log | 5.4831 | 488 | 1.0047 | 0.5885 | 1.0047 | 1.0024 |
| No log | 5.5056 | 490 | 0.8344 | 0.6118 | 0.8344 | 0.9135 |
| No log | 5.5281 | 492 | 0.6962 | 0.6781 | 0.6962 | 0.8344 |
| No log | 5.5506 | 494 | 0.6407 | 0.7208 | 0.6407 | 0.8005 |
| No log | 5.5730 | 496 | 0.6447 | 0.7322 | 0.6447 | 0.8029 |
| No log | 5.5955 | 498 | 0.6340 | 0.7431 | 0.6340 | 0.7963 |
| 0.4002 | 5.6180 | 500 | 0.6251 | 0.7455 | 0.6251 | 0.7906 |
| 0.4002 | 5.6404 | 502 | 0.6301 | 0.7353 | 0.6301 | 0.7938 |
| 0.4002 | 5.6629 | 504 | 0.6900 | 0.6625 | 0.6900 | 0.8306 |
| 0.4002 | 5.6854 | 506 | 0.8125 | 0.6327 | 0.8125 | 0.9014 |
| 0.4002 | 5.7079 | 508 | 0.8148 | 0.6398 | 0.8148 | 0.9027 |
| 0.4002 | 5.7303 | 510 | 0.7235 | 0.6465 | 0.7235 | 0.8506 |
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/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_task1_organization
Base model
aubmindlab/bert-base-arabertv02