Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k13_task3_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_k13_task3_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_k13_task3_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k13_task3_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k13_task3_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k13_task3_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: 0.5755
- Qwk: 0.5472
- Mse: 0.5755
- Rmse: 0.7586
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 | 0.0328 | 2 | 3.2641 | 0.0337 | 3.2641 | 1.8067 |
| No log | 0.0656 | 4 | 1.4830 | -0.0070 | 1.4830 | 1.2178 |
| No log | 0.0984 | 6 | 0.8743 | 0.0916 | 0.8743 | 0.9351 |
| No log | 0.1311 | 8 | 0.7142 | 0.2967 | 0.7142 | 0.8451 |
| No log | 0.1639 | 10 | 0.6334 | 0.2575 | 0.6334 | 0.7959 |
| No log | 0.1967 | 12 | 0.5996 | 0.1515 | 0.5996 | 0.7743 |
| No log | 0.2295 | 14 | 0.8257 | 0.0078 | 0.8257 | 0.9087 |
| No log | 0.2623 | 16 | 0.9302 | 0.0 | 0.9302 | 0.9645 |
| No log | 0.2951 | 18 | 0.8235 | 0.0388 | 0.8235 | 0.9075 |
| No log | 0.3279 | 20 | 0.7822 | 0.0894 | 0.7822 | 0.8844 |
| No log | 0.3607 | 22 | 0.6297 | 0.3067 | 0.6297 | 0.7935 |
| No log | 0.3934 | 24 | 0.5372 | 0.0569 | 0.5372 | 0.7329 |
| No log | 0.4262 | 26 | 0.5549 | 0.0569 | 0.5549 | 0.7449 |
| No log | 0.4590 | 28 | 0.5454 | 0.0569 | 0.5454 | 0.7385 |
| No log | 0.4918 | 30 | 1.0625 | -0.0159 | 1.0625 | 1.0308 |
| No log | 0.5246 | 32 | 1.2646 | 0.0255 | 1.2646 | 1.1245 |
| No log | 0.5574 | 34 | 0.7775 | 0.1795 | 0.7775 | 0.8817 |
| No log | 0.5902 | 36 | 0.6104 | 0.2821 | 0.6104 | 0.7813 |
| No log | 0.6230 | 38 | 0.5388 | 0.0 | 0.5388 | 0.7340 |
| No log | 0.6557 | 40 | 0.5549 | 0.0 | 0.5549 | 0.7449 |
| No log | 0.6885 | 42 | 0.6246 | 0.0638 | 0.6246 | 0.7903 |
| No log | 0.7213 | 44 | 0.7008 | 0.1919 | 0.7008 | 0.8371 |
| No log | 0.7541 | 46 | 0.7945 | 0.0667 | 0.7945 | 0.8914 |
| No log | 0.7869 | 48 | 0.8456 | 0.0794 | 0.8456 | 0.9196 |
| No log | 0.8197 | 50 | 0.6851 | 0.1515 | 0.6851 | 0.8277 |
| No log | 0.8525 | 52 | 0.6064 | 0.0303 | 0.6064 | 0.7787 |
| No log | 0.8852 | 54 | 0.5776 | 0.0815 | 0.5776 | 0.7600 |
| No log | 0.9180 | 56 | 0.5502 | -0.0159 | 0.5502 | 0.7418 |
| No log | 0.9508 | 58 | 0.5470 | 0.1407 | 0.5470 | 0.7396 |
| No log | 0.9836 | 60 | 0.6480 | 0.2350 | 0.6480 | 0.8050 |
| No log | 1.0164 | 62 | 0.6765 | 0.2410 | 0.6765 | 0.8225 |
| No log | 1.0492 | 64 | 0.6168 | 0.2281 | 0.6168 | 0.7853 |
| No log | 1.0820 | 66 | 0.5837 | 0.2704 | 0.5837 | 0.7640 |
| No log | 1.1148 | 68 | 0.7053 | 0.1373 | 0.7053 | 0.8398 |
| No log | 1.1475 | 70 | 0.9958 | 0.136 | 0.9958 | 0.9979 |
| No log | 1.1803 | 72 | 0.8395 | 0.1660 | 0.8395 | 0.9162 |
| No log | 1.2131 | 74 | 0.5799 | 0.1899 | 0.5799 | 0.7615 |
| No log | 1.2459 | 76 | 0.6454 | 0.1258 | 0.6454 | 0.8034 |
| No log | 1.2787 | 78 | 0.6191 | 0.25 | 0.6191 | 0.7868 |
| No log | 1.3115 | 80 | 0.6039 | 0.2000 | 0.6039 | 0.7771 |
| No log | 1.3443 | 82 | 0.6460 | 0.2609 | 0.6460 | 0.8038 |
| No log | 1.3770 | 84 | 0.6952 | 0.3061 | 0.6952 | 0.8338 |
| No log | 1.4098 | 86 | 0.5593 | 0.1788 | 0.5593 | 0.7478 |
| No log | 1.4426 | 88 | 0.6768 | 0.2265 | 0.6768 | 0.8227 |
| No log | 1.4754 | 90 | 0.5822 | 0.1801 | 0.5822 | 0.7630 |
| No log | 1.5082 | 92 | 0.6061 | 0.3757 | 0.6061 | 0.7785 |
| No log | 1.5410 | 94 | 0.7683 | 0.2000 | 0.7683 | 0.8765 |
| No log | 1.5738 | 96 | 0.7148 | 0.1841 | 0.7148 | 0.8455 |
| No log | 1.6066 | 98 | 0.5747 | 0.2405 | 0.5747 | 0.7581 |
| No log | 1.6393 | 100 | 0.6147 | 0.3580 | 0.6147 | 0.7841 |
| No log | 1.6721 | 102 | 0.5698 | 0.1111 | 0.5698 | 0.7548 |
| No log | 1.7049 | 104 | 0.5347 | 0.0857 | 0.5347 | 0.7313 |
| No log | 1.7377 | 106 | 0.7113 | 0.2381 | 0.7113 | 0.8434 |
| No log | 1.7705 | 108 | 0.7392 | 0.2217 | 0.7392 | 0.8598 |
| No log | 1.8033 | 110 | 0.5263 | 0.2215 | 0.5263 | 0.7255 |
| No log | 1.8361 | 112 | 0.5375 | 0.0720 | 0.5375 | 0.7331 |
| No log | 1.8689 | 114 | 0.5326 | 0.1385 | 0.5326 | 0.7298 |
| No log | 1.9016 | 116 | 0.5024 | 0.0534 | 0.5024 | 0.7088 |
| No log | 1.9344 | 118 | 0.5111 | 0.1176 | 0.5111 | 0.7149 |
| No log | 1.9672 | 120 | 0.4969 | 0.1176 | 0.4969 | 0.7049 |
| No log | 2.0 | 122 | 0.4725 | 0.2752 | 0.4725 | 0.6874 |
| No log | 2.0328 | 124 | 0.5214 | 0.3191 | 0.5214 | 0.7221 |
| No log | 2.0656 | 126 | 0.4875 | 0.2795 | 0.4875 | 0.6982 |
| No log | 2.0984 | 128 | 0.5003 | 0.2676 | 0.5003 | 0.7073 |
| No log | 2.1311 | 130 | 0.6550 | 0.3231 | 0.6550 | 0.8093 |
| No log | 2.1639 | 132 | 0.5734 | 0.4667 | 0.5734 | 0.7572 |
| No log | 2.1967 | 134 | 0.5086 | 0.5027 | 0.5086 | 0.7131 |
| No log | 2.2295 | 136 | 0.4681 | 0.4682 | 0.4681 | 0.6842 |
| No log | 2.2623 | 138 | 0.5608 | 0.3103 | 0.5608 | 0.7489 |
| No log | 2.2951 | 140 | 0.7118 | 0.3274 | 0.7118 | 0.8437 |
| No log | 2.3279 | 142 | 0.4816 | 0.4595 | 0.4816 | 0.6940 |
| No log | 2.3607 | 144 | 0.8396 | 0.1331 | 0.8396 | 0.9163 |
| No log | 2.3934 | 146 | 1.0920 | 0.1186 | 1.0920 | 1.0450 |
| No log | 2.4262 | 148 | 0.8600 | 0.1343 | 0.8600 | 0.9274 |
| No log | 2.4590 | 150 | 0.5127 | 0.4536 | 0.5127 | 0.7160 |
| No log | 2.4918 | 152 | 0.4735 | 0.4943 | 0.4735 | 0.6881 |
| No log | 2.5246 | 154 | 0.4671 | 0.4743 | 0.4671 | 0.6835 |
| No log | 2.5574 | 156 | 0.4962 | 0.4839 | 0.4962 | 0.7044 |
| No log | 2.5902 | 158 | 0.6162 | 0.4286 | 0.6162 | 0.7850 |
| No log | 2.6230 | 160 | 0.6812 | 0.3271 | 0.6812 | 0.8254 |
| No log | 2.6557 | 162 | 0.6813 | 0.3271 | 0.6813 | 0.8254 |
| No log | 2.6885 | 164 | 0.8344 | 0.2248 | 0.8344 | 0.9134 |
| No log | 2.7213 | 166 | 0.6098 | 0.3301 | 0.6098 | 0.7809 |
| No log | 2.7541 | 168 | 0.4990 | 0.4229 | 0.4990 | 0.7064 |
| No log | 2.7869 | 170 | 0.5103 | 0.4975 | 0.5103 | 0.7144 |
| No log | 2.8197 | 172 | 0.5542 | 0.3299 | 0.5542 | 0.7445 |
| No log | 2.8525 | 174 | 0.6925 | 0.2838 | 0.6925 | 0.8322 |
| No log | 2.8852 | 176 | 0.7979 | 0.2605 | 0.7979 | 0.8933 |
| No log | 2.9180 | 178 | 0.6043 | 0.3422 | 0.6043 | 0.7774 |
| No log | 2.9508 | 180 | 0.5036 | 0.4783 | 0.5036 | 0.7097 |
| No log | 2.9836 | 182 | 0.4999 | 0.4654 | 0.4999 | 0.7071 |
| No log | 3.0164 | 184 | 0.6500 | 0.3739 | 0.6500 | 0.8062 |
| No log | 3.0492 | 186 | 0.7406 | 0.3388 | 0.7406 | 0.8606 |
| No log | 3.0820 | 188 | 0.5179 | 0.4798 | 0.5179 | 0.7197 |
| No log | 3.1148 | 190 | 0.4894 | 0.4234 | 0.4894 | 0.6996 |
| No log | 3.1475 | 192 | 0.6685 | 0.3128 | 0.6685 | 0.8176 |
| No log | 3.1803 | 194 | 1.0057 | 0.1944 | 1.0057 | 1.0029 |
| No log | 3.2131 | 196 | 0.8385 | 0.1938 | 0.8385 | 0.9157 |
| No log | 3.2459 | 198 | 0.5531 | 0.4336 | 0.5531 | 0.7437 |
| No log | 3.2787 | 200 | 0.5066 | 0.4605 | 0.5066 | 0.7118 |
| No log | 3.3115 | 202 | 0.5442 | 0.4286 | 0.5442 | 0.7377 |
| No log | 3.3443 | 204 | 0.5337 | 0.3962 | 0.5337 | 0.7305 |
| No log | 3.3770 | 206 | 0.9981 | 0.1943 | 0.9981 | 0.9991 |
| No log | 3.4098 | 208 | 1.1267 | 0.1429 | 1.1267 | 1.0615 |
| No log | 3.4426 | 210 | 0.8583 | 0.25 | 0.8583 | 0.9264 |
| No log | 3.4754 | 212 | 0.6225 | 0.4081 | 0.6225 | 0.7890 |
| No log | 3.5082 | 214 | 0.6155 | 0.3818 | 0.6155 | 0.7845 |
| No log | 3.5410 | 216 | 0.5627 | 0.5122 | 0.5627 | 0.7502 |
| No log | 3.5738 | 218 | 0.6799 | 0.3665 | 0.6799 | 0.8245 |
| No log | 3.6066 | 220 | 0.4919 | 0.5152 | 0.4919 | 0.7014 |
| No log | 3.6393 | 222 | 0.4800 | 0.4839 | 0.4800 | 0.6928 |
| No log | 3.6721 | 224 | 0.6538 | 0.4123 | 0.6538 | 0.8086 |
| No log | 3.7049 | 226 | 0.7485 | 0.3004 | 0.7485 | 0.8651 |
| No log | 3.7377 | 228 | 0.5725 | 0.4510 | 0.5725 | 0.7566 |
| No log | 3.7705 | 230 | 0.4752 | 0.2749 | 0.4752 | 0.6894 |
| No log | 3.8033 | 232 | 0.4792 | 0.2771 | 0.4792 | 0.6923 |
| No log | 3.8361 | 234 | 0.5271 | 0.4112 | 0.5271 | 0.7260 |
| No log | 3.8689 | 236 | 0.5623 | 0.4229 | 0.5623 | 0.7499 |
| No log | 3.9016 | 238 | 0.4807 | 0.3939 | 0.4807 | 0.6933 |
| No log | 3.9344 | 240 | 0.5559 | 0.2893 | 0.5559 | 0.7456 |
| No log | 3.9672 | 242 | 0.4952 | 0.2663 | 0.4952 | 0.7037 |
| No log | 4.0 | 244 | 0.6128 | 0.4393 | 0.6128 | 0.7828 |
| No log | 4.0328 | 246 | 0.9074 | 0.1355 | 0.9074 | 0.9526 |
| No log | 4.0656 | 248 | 0.9290 | 0.1355 | 0.9290 | 0.9638 |
| No log | 4.0984 | 250 | 0.5915 | 0.4010 | 0.5915 | 0.7691 |
| No log | 4.1311 | 252 | 0.5023 | 0.3216 | 0.5023 | 0.7087 |
| No log | 4.1639 | 254 | 0.5432 | 0.3200 | 0.5432 | 0.7370 |
| No log | 4.1967 | 256 | 0.4978 | 0.4222 | 0.4978 | 0.7056 |
| No log | 4.2295 | 258 | 0.6643 | 0.4067 | 0.6643 | 0.8151 |
| No log | 4.2623 | 260 | 0.6674 | 0.4654 | 0.6674 | 0.8169 |
| No log | 4.2951 | 262 | 0.6491 | 0.4233 | 0.6491 | 0.8057 |
| No log | 4.3279 | 264 | 0.5511 | 0.3962 | 0.5511 | 0.7424 |
| No log | 4.3607 | 266 | 0.5192 | 0.4286 | 0.5192 | 0.7206 |
| No log | 4.3934 | 268 | 0.5762 | 0.4178 | 0.5762 | 0.7591 |
| No log | 4.4262 | 270 | 0.7529 | 0.2646 | 0.7529 | 0.8677 |
| No log | 4.4590 | 272 | 0.6983 | 0.3427 | 0.6983 | 0.8357 |
| No log | 4.4918 | 274 | 0.5093 | 0.4400 | 0.5093 | 0.7137 |
| No log | 4.5246 | 276 | 0.5124 | 0.3829 | 0.5124 | 0.7158 |
| No log | 4.5574 | 278 | 0.5255 | 0.3073 | 0.5255 | 0.7249 |
| No log | 4.5902 | 280 | 0.4763 | 0.4350 | 0.4763 | 0.6901 |
| No log | 4.6230 | 282 | 0.6310 | 0.3427 | 0.6310 | 0.7943 |
| No log | 4.6557 | 284 | 0.8285 | 0.1933 | 0.8285 | 0.9102 |
| No log | 4.6885 | 286 | 0.7648 | 0.2646 | 0.7648 | 0.8745 |
| No log | 4.7213 | 288 | 0.5597 | 0.4680 | 0.5597 | 0.7481 |
| No log | 4.7541 | 290 | 0.5193 | 0.4924 | 0.5193 | 0.7206 |
| No log | 4.7869 | 292 | 0.5427 | 0.4450 | 0.5427 | 0.7367 |
| No log | 4.8197 | 294 | 0.5123 | 0.4396 | 0.5123 | 0.7157 |
| No log | 4.8525 | 296 | 0.6289 | 0.4605 | 0.6289 | 0.7930 |
| No log | 4.8852 | 298 | 0.8314 | 0.2275 | 0.8314 | 0.9118 |
| No log | 4.9180 | 300 | 0.7979 | 0.2208 | 0.7979 | 0.8932 |
| No log | 4.9508 | 302 | 0.6285 | 0.4815 | 0.6285 | 0.7928 |
| No log | 4.9836 | 304 | 0.5304 | 0.3769 | 0.5304 | 0.7283 |
| No log | 5.0164 | 306 | 0.5233 | 0.3769 | 0.5233 | 0.7234 |
| No log | 5.0492 | 308 | 0.6114 | 0.5349 | 0.6114 | 0.7819 |
| No log | 5.0820 | 310 | 0.8752 | 0.1934 | 0.8752 | 0.9355 |
| No log | 5.1148 | 312 | 0.8306 | 0.2269 | 0.8306 | 0.9114 |
| No log | 5.1475 | 314 | 0.5709 | 0.4175 | 0.5709 | 0.7556 |
| No log | 5.1803 | 316 | 0.5012 | 0.4924 | 0.5012 | 0.7080 |
| No log | 5.2131 | 318 | 0.4528 | 0.4346 | 0.4528 | 0.6729 |
| No log | 5.2459 | 320 | 0.4405 | 0.3609 | 0.4405 | 0.6637 |
| No log | 5.2787 | 322 | 0.4445 | 0.3757 | 0.4445 | 0.6667 |
| No log | 5.3115 | 324 | 0.4916 | 0.4286 | 0.4916 | 0.7011 |
| No log | 5.3443 | 326 | 0.7214 | 0.2727 | 0.7214 | 0.8493 |
| No log | 5.3770 | 328 | 0.8590 | 0.2314 | 0.8590 | 0.9268 |
| No log | 5.4098 | 330 | 0.7079 | 0.3028 | 0.7079 | 0.8414 |
| No log | 5.4426 | 332 | 0.4844 | 0.4783 | 0.4844 | 0.6960 |
| No log | 5.4754 | 334 | 0.5759 | 0.3427 | 0.5759 | 0.7589 |
| No log | 5.5082 | 336 | 0.7070 | 0.3333 | 0.7070 | 0.8408 |
| No log | 5.5410 | 338 | 0.5922 | 0.3761 | 0.5922 | 0.7695 |
| No log | 5.5738 | 340 | 0.4740 | 0.4400 | 0.4740 | 0.6884 |
| No log | 5.6066 | 342 | 0.6748 | 0.3665 | 0.6748 | 0.8215 |
| No log | 5.6393 | 344 | 0.9874 | 0.1367 | 0.9874 | 0.9937 |
| No log | 5.6721 | 346 | 1.0700 | 0.1389 | 1.0700 | 1.0344 |
| No log | 5.7049 | 348 | 0.8852 | 0.2569 | 0.8852 | 0.9408 |
| No log | 5.7377 | 350 | 0.5763 | 0.5349 | 0.5763 | 0.7592 |
| No log | 5.7705 | 352 | 0.4623 | 0.4510 | 0.4623 | 0.6799 |
| No log | 5.8033 | 354 | 0.4653 | 0.4573 | 0.4653 | 0.6821 |
| No log | 5.8361 | 356 | 0.4586 | 0.4400 | 0.4586 | 0.6772 |
| No log | 5.8689 | 358 | 0.5936 | 0.4563 | 0.5936 | 0.7705 |
| No log | 5.9016 | 360 | 0.8339 | 0.2258 | 0.8339 | 0.9132 |
| No log | 5.9344 | 362 | 0.9594 | 0.1940 | 0.9594 | 0.9795 |
| No log | 5.9672 | 364 | 0.8576 | 0.2253 | 0.8576 | 0.9261 |
| No log | 6.0 | 366 | 0.6155 | 0.4074 | 0.6155 | 0.7845 |
| No log | 6.0328 | 368 | 0.4675 | 0.5094 | 0.4675 | 0.6838 |
| No log | 6.0656 | 370 | 0.4581 | 0.4175 | 0.4581 | 0.6768 |
| No log | 6.0984 | 372 | 0.4886 | 0.5215 | 0.4886 | 0.6990 |
| No log | 6.1311 | 374 | 0.6120 | 0.3973 | 0.6120 | 0.7823 |
| No log | 6.1639 | 376 | 0.7138 | 0.3028 | 0.7138 | 0.8449 |
| No log | 6.1967 | 378 | 0.6585 | 0.3427 | 0.6585 | 0.8115 |
| No log | 6.2295 | 380 | 0.5278 | 0.4615 | 0.5278 | 0.7265 |
| No log | 6.2623 | 382 | 0.4580 | 0.4346 | 0.4580 | 0.6767 |
| No log | 6.2951 | 384 | 0.4651 | 0.3478 | 0.4651 | 0.6820 |
| No log | 6.3279 | 386 | 0.4538 | 0.4157 | 0.4538 | 0.6736 |
| No log | 6.3607 | 388 | 0.4763 | 0.5215 | 0.4763 | 0.6902 |
| No log | 6.3934 | 390 | 0.5881 | 0.3398 | 0.5881 | 0.7669 |
| No log | 6.4262 | 392 | 0.6138 | 0.3846 | 0.6138 | 0.7835 |
| No log | 6.4590 | 394 | 0.5442 | 0.4605 | 0.5442 | 0.7377 |
| No log | 6.4918 | 396 | 0.4762 | 0.5025 | 0.4762 | 0.6901 |
| No log | 6.5246 | 398 | 0.4685 | 0.4346 | 0.4685 | 0.6844 |
| No log | 6.5574 | 400 | 0.4619 | 0.4167 | 0.4619 | 0.6796 |
| No log | 6.5902 | 402 | 0.4651 | 0.4227 | 0.4651 | 0.6820 |
| No log | 6.6230 | 404 | 0.4663 | 0.4227 | 0.4663 | 0.6829 |
| No log | 6.6557 | 406 | 0.4688 | 0.4227 | 0.4688 | 0.6847 |
| No log | 6.6885 | 408 | 0.4856 | 0.4346 | 0.4856 | 0.6969 |
| No log | 6.7213 | 410 | 0.5124 | 0.4229 | 0.5124 | 0.7158 |
| No log | 6.7541 | 412 | 0.6089 | 0.4798 | 0.6089 | 0.7803 |
| No log | 6.7869 | 414 | 0.6875 | 0.4595 | 0.6875 | 0.8292 |
| No log | 6.8197 | 416 | 0.6663 | 0.5023 | 0.6663 | 0.8163 |
| No log | 6.8525 | 418 | 0.5690 | 0.5044 | 0.5690 | 0.7543 |
| No log | 6.8852 | 420 | 0.5180 | 0.4444 | 0.5180 | 0.7197 |
| No log | 6.9180 | 422 | 0.5164 | 0.4703 | 0.5164 | 0.7186 |
| No log | 6.9508 | 424 | 0.5374 | 0.4643 | 0.5374 | 0.7331 |
| No log | 6.9836 | 426 | 0.6269 | 0.4737 | 0.6269 | 0.7918 |
| No log | 7.0164 | 428 | 0.7476 | 0.3719 | 0.7476 | 0.8646 |
| No log | 7.0492 | 430 | 0.7508 | 0.3719 | 0.7508 | 0.8665 |
| No log | 7.0820 | 432 | 0.7024 | 0.4844 | 0.7024 | 0.8381 |
| No log | 7.1148 | 434 | 0.6107 | 0.4737 | 0.6107 | 0.7814 |
| No log | 7.1475 | 436 | 0.5343 | 0.4930 | 0.5343 | 0.7310 |
| No log | 7.1803 | 438 | 0.5145 | 0.4833 | 0.5145 | 0.7173 |
| No log | 7.2131 | 440 | 0.5449 | 0.5157 | 0.5449 | 0.7382 |
| No log | 7.2459 | 442 | 0.5973 | 0.4844 | 0.5973 | 0.7728 |
| No log | 7.2787 | 444 | 0.6255 | 0.4595 | 0.6255 | 0.7909 |
| No log | 7.3115 | 446 | 0.5901 | 0.4844 | 0.5901 | 0.7682 |
| No log | 7.3443 | 448 | 0.5803 | 0.4844 | 0.5803 | 0.7618 |
| No log | 7.3770 | 450 | 0.5002 | 0.4747 | 0.5002 | 0.7072 |
| No log | 7.4098 | 452 | 0.4351 | 0.4639 | 0.4351 | 0.6596 |
| No log | 7.4426 | 454 | 0.4288 | 0.4563 | 0.4288 | 0.6548 |
| No log | 7.4754 | 456 | 0.4301 | 0.4639 | 0.4301 | 0.6558 |
| No log | 7.5082 | 458 | 0.4372 | 0.4639 | 0.4372 | 0.6612 |
| No log | 7.5410 | 460 | 0.4502 | 0.4639 | 0.4502 | 0.6710 |
| No log | 7.5738 | 462 | 0.4823 | 0.4468 | 0.4823 | 0.6945 |
| No log | 7.6066 | 464 | 0.5769 | 0.5023 | 0.5769 | 0.7595 |
| No log | 7.6393 | 466 | 0.6960 | 0.3886 | 0.6960 | 0.8343 |
| No log | 7.6721 | 468 | 0.6875 | 0.3886 | 0.6875 | 0.8292 |
| No log | 7.7049 | 470 | 0.6211 | 0.4338 | 0.6211 | 0.7881 |
| No log | 7.7377 | 472 | 0.5363 | 0.5556 | 0.5363 | 0.7323 |
| No log | 7.7705 | 474 | 0.4852 | 0.4851 | 0.4852 | 0.6966 |
| No log | 7.8033 | 476 | 0.4696 | 0.4518 | 0.4696 | 0.6853 |
| No log | 7.8361 | 478 | 0.4750 | 0.4518 | 0.4750 | 0.6892 |
| No log | 7.8689 | 480 | 0.5081 | 0.5728 | 0.5081 | 0.7128 |
| No log | 7.9016 | 482 | 0.5879 | 0.4338 | 0.5879 | 0.7667 |
| No log | 7.9344 | 484 | 0.6897 | 0.2920 | 0.6897 | 0.8305 |
| No log | 7.9672 | 486 | 0.7256 | 0.2646 | 0.7256 | 0.8518 |
| No log | 8.0 | 488 | 0.6944 | 0.2646 | 0.6944 | 0.8333 |
| No log | 8.0328 | 490 | 0.6241 | 0.3929 | 0.6241 | 0.7900 |
| No log | 8.0656 | 492 | 0.5363 | 0.5248 | 0.5363 | 0.7323 |
| No log | 8.0984 | 494 | 0.4846 | 0.5233 | 0.4846 | 0.6961 |
| No log | 8.1311 | 496 | 0.4549 | 0.4839 | 0.4549 | 0.6744 |
| No log | 8.1639 | 498 | 0.4545 | 0.4583 | 0.4545 | 0.6742 |
| 0.4257 | 8.1967 | 500 | 0.4706 | 0.4764 | 0.4706 | 0.6860 |
| 0.4257 | 8.2295 | 502 | 0.5247 | 0.5769 | 0.5247 | 0.7243 |
| 0.4257 | 8.2623 | 504 | 0.6109 | 0.4595 | 0.6109 | 0.7816 |
| 0.4257 | 8.2951 | 506 | 0.6696 | 0.3929 | 0.6696 | 0.8183 |
| 0.4257 | 8.3279 | 508 | 0.6698 | 0.3929 | 0.6698 | 0.8184 |
| 0.4257 | 8.3607 | 510 | 0.6261 | 0.4595 | 0.6261 | 0.7913 |
| 0.4257 | 8.3934 | 512 | 0.5828 | 0.5088 | 0.5828 | 0.7634 |
| 0.4257 | 8.4262 | 514 | 0.5844 | 0.5088 | 0.5844 | 0.7645 |
| 0.4257 | 8.4590 | 516 | 0.6085 | 0.4844 | 0.6085 | 0.7801 |
| 0.4257 | 8.4918 | 518 | 0.6092 | 0.4844 | 0.6092 | 0.7805 |
| 0.4257 | 8.5246 | 520 | 0.5922 | 0.5157 | 0.5922 | 0.7695 |
| 0.4257 | 8.5574 | 522 | 0.5850 | 0.5157 | 0.5850 | 0.7649 |
| 0.4257 | 8.5902 | 524 | 0.5762 | 0.5157 | 0.5762 | 0.7591 |
| 0.4257 | 8.6230 | 526 | 0.5679 | 0.5157 | 0.5679 | 0.7536 |
| 0.4257 | 8.6557 | 528 | 0.5410 | 0.5385 | 0.5410 | 0.7356 |
| 0.4257 | 8.6885 | 530 | 0.5096 | 0.4764 | 0.5096 | 0.7138 |
| 0.4257 | 8.7213 | 532 | 0.4989 | 0.4639 | 0.4989 | 0.7063 |
| 0.4257 | 8.7541 | 534 | 0.4925 | 0.4518 | 0.4925 | 0.7018 |
| 0.4257 | 8.7869 | 536 | 0.4885 | 0.4639 | 0.4885 | 0.6989 |
| 0.4257 | 8.8197 | 538 | 0.4930 | 0.4639 | 0.4930 | 0.7021 |
| 0.4257 | 8.8525 | 540 | 0.5152 | 0.4404 | 0.5152 | 0.7177 |
| 0.4257 | 8.8852 | 542 | 0.5493 | 0.5305 | 0.5493 | 0.7412 |
| 0.4257 | 8.9180 | 544 | 0.5622 | 0.5273 | 0.5622 | 0.7498 |
| 0.4257 | 8.9508 | 546 | 0.5659 | 0.5273 | 0.5659 | 0.7523 |
| 0.4257 | 8.9836 | 548 | 0.5864 | 0.5273 | 0.5864 | 0.7658 |
| 0.4257 | 9.0164 | 550 | 0.6026 | 0.5023 | 0.6026 | 0.7763 |
| 0.4257 | 9.0492 | 552 | 0.5915 | 0.5273 | 0.5915 | 0.7691 |
| 0.4257 | 9.0820 | 554 | 0.5676 | 0.5273 | 0.5676 | 0.7534 |
| 0.4257 | 9.1148 | 556 | 0.5497 | 0.5305 | 0.5497 | 0.7414 |
| 0.4257 | 9.1475 | 558 | 0.5448 | 0.5305 | 0.5448 | 0.7381 |
| 0.4257 | 9.1803 | 560 | 0.5250 | 0.5385 | 0.5250 | 0.7246 |
| 0.4257 | 9.2131 | 562 | 0.5201 | 0.5074 | 0.5201 | 0.7212 |
| 0.4257 | 9.2459 | 564 | 0.5170 | 0.5074 | 0.5170 | 0.7190 |
| 0.4257 | 9.2787 | 566 | 0.5181 | 0.5074 | 0.5181 | 0.7198 |
| 0.4257 | 9.3115 | 568 | 0.5166 | 0.5074 | 0.5166 | 0.7188 |
| 0.4257 | 9.3443 | 570 | 0.5108 | 0.4747 | 0.5108 | 0.7147 |
| 0.4257 | 9.3770 | 572 | 0.5148 | 0.5385 | 0.5148 | 0.7175 |
| 0.4257 | 9.4098 | 574 | 0.5268 | 0.5385 | 0.5268 | 0.7258 |
| 0.4257 | 9.4426 | 576 | 0.5347 | 0.5385 | 0.5347 | 0.7312 |
| 0.4257 | 9.4754 | 578 | 0.5433 | 0.5305 | 0.5433 | 0.7371 |
| 0.4257 | 9.5082 | 580 | 0.5397 | 0.5305 | 0.5397 | 0.7347 |
| 0.4257 | 9.5410 | 582 | 0.5350 | 0.5305 | 0.5350 | 0.7314 |
| 0.4257 | 9.5738 | 584 | 0.5306 | 0.5385 | 0.5306 | 0.7284 |
| 0.4257 | 9.6066 | 586 | 0.5310 | 0.5385 | 0.5310 | 0.7287 |
| 0.4257 | 9.6393 | 588 | 0.5369 | 0.5305 | 0.5369 | 0.7328 |
| 0.4257 | 9.6721 | 590 | 0.5465 | 0.5429 | 0.5465 | 0.7392 |
| 0.4257 | 9.7049 | 592 | 0.5572 | 0.5429 | 0.5572 | 0.7465 |
| 0.4257 | 9.7377 | 594 | 0.5682 | 0.5721 | 0.5682 | 0.7538 |
| 0.4257 | 9.7705 | 596 | 0.5712 | 0.5721 | 0.5712 | 0.7558 |
| 0.4257 | 9.8033 | 598 | 0.5747 | 0.5472 | 0.5747 | 0.7581 |
| 0.4257 | 9.8361 | 600 | 0.5797 | 0.5472 | 0.5797 | 0.7614 |
| 0.4257 | 9.8689 | 602 | 0.5796 | 0.5472 | 0.5796 | 0.7613 |
| 0.4257 | 9.9016 | 604 | 0.5777 | 0.5472 | 0.5777 | 0.7601 |
| 0.4257 | 9.9344 | 606 | 0.5756 | 0.5472 | 0.5756 | 0.7587 |
| 0.4257 | 9.9672 | 608 | 0.5752 | 0.5472 | 0.5752 | 0.7584 |
| 0.4257 | 10.0 | 610 | 0.5755 | 0.5472 | 0.5755 | 0.7586 |
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_k13_task3_organization
Base model
aubmindlab/bert-base-arabertv02