Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k15_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_k15_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_k15_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k15_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k15_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_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: 1.4342
- Qwk: 0.4303
- Mse: 1.4342
- Rmse: 1.1976
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 | 0.0274 | 2 | 5.4241 | -0.0339 | 5.4241 | 2.3290 |
| No log | 0.0548 | 4 | 3.2173 | 0.0700 | 3.2173 | 1.7937 |
| No log | 0.0822 | 6 | 2.8343 | -0.1321 | 2.8343 | 1.6835 |
| No log | 0.1096 | 8 | 2.8839 | -0.1565 | 2.8839 | 1.6982 |
| No log | 0.1370 | 10 | 2.4133 | -0.0988 | 2.4133 | 1.5535 |
| No log | 0.1644 | 12 | 1.9059 | -0.0548 | 1.9059 | 1.3805 |
| No log | 0.1918 | 14 | 1.3141 | 0.1351 | 1.3141 | 1.1463 |
| No log | 0.2192 | 16 | 1.2165 | 0.1728 | 1.2165 | 1.1030 |
| No log | 0.2466 | 18 | 1.3707 | 0.0632 | 1.3707 | 1.1708 |
| No log | 0.2740 | 20 | 1.8188 | 0.0288 | 1.8188 | 1.3486 |
| No log | 0.3014 | 22 | 2.2172 | -0.0237 | 2.2172 | 1.4890 |
| No log | 0.3288 | 24 | 1.9312 | 0.0251 | 1.9312 | 1.3897 |
| No log | 0.3562 | 26 | 1.4221 | 0.0290 | 1.4221 | 1.1925 |
| No log | 0.3836 | 28 | 1.1666 | 0.3242 | 1.1666 | 1.0801 |
| No log | 0.4110 | 30 | 1.1004 | 0.2939 | 1.1004 | 1.0490 |
| No log | 0.4384 | 32 | 1.0948 | 0.3266 | 1.0948 | 1.0463 |
| No log | 0.4658 | 34 | 1.0828 | 0.3087 | 1.0828 | 1.0406 |
| No log | 0.4932 | 36 | 1.1502 | 0.2590 | 1.1502 | 1.0725 |
| No log | 0.5205 | 38 | 1.2946 | 0.2594 | 1.2946 | 1.1378 |
| No log | 0.5479 | 40 | 1.4440 | 0.0645 | 1.4440 | 1.2017 |
| No log | 0.5753 | 42 | 1.3653 | 0.1424 | 1.3653 | 1.1685 |
| No log | 0.6027 | 44 | 1.2663 | 0.2263 | 1.2663 | 1.1253 |
| No log | 0.6301 | 46 | 1.1350 | 0.2847 | 1.1350 | 1.0654 |
| No log | 0.6575 | 48 | 1.1487 | 0.2917 | 1.1487 | 1.0718 |
| No log | 0.6849 | 50 | 1.1845 | 0.2909 | 1.1845 | 1.0883 |
| No log | 0.7123 | 52 | 1.2423 | 0.3473 | 1.2423 | 1.1146 |
| No log | 0.7397 | 54 | 1.6637 | 0.2321 | 1.6637 | 1.2899 |
| No log | 0.7671 | 56 | 2.1153 | 0.2278 | 2.1153 | 1.4544 |
| No log | 0.7945 | 58 | 2.3962 | 0.2041 | 2.3962 | 1.5480 |
| No log | 0.8219 | 60 | 2.2160 | 0.2200 | 2.2160 | 1.4886 |
| No log | 0.8493 | 62 | 1.8378 | 0.2104 | 1.8378 | 1.3557 |
| No log | 0.8767 | 64 | 1.2348 | 0.3004 | 1.2348 | 1.1112 |
| No log | 0.9041 | 66 | 0.9597 | 0.4343 | 0.9597 | 0.9796 |
| No log | 0.9315 | 68 | 0.9597 | 0.4135 | 0.9597 | 0.9796 |
| No log | 0.9589 | 70 | 1.0380 | 0.3718 | 1.0380 | 1.0188 |
| No log | 0.9863 | 72 | 1.0483 | 0.3652 | 1.0483 | 1.0239 |
| No log | 1.0137 | 74 | 0.9982 | 0.3855 | 0.9982 | 0.9991 |
| No log | 1.0411 | 76 | 0.9629 | 0.3681 | 0.9629 | 0.9813 |
| No log | 1.0685 | 78 | 1.0360 | 0.3519 | 1.0360 | 1.0178 |
| No log | 1.0959 | 80 | 1.4803 | 0.2923 | 1.4803 | 1.2167 |
| No log | 1.1233 | 82 | 1.9171 | 0.1981 | 1.9171 | 1.3846 |
| No log | 1.1507 | 84 | 2.0940 | 0.1898 | 2.0940 | 1.4471 |
| No log | 1.1781 | 86 | 1.7886 | 0.2826 | 1.7886 | 1.3374 |
| No log | 1.2055 | 88 | 1.4346 | 0.3313 | 1.4346 | 1.1978 |
| No log | 1.2329 | 90 | 1.1797 | 0.3828 | 1.1797 | 1.0861 |
| No log | 1.2603 | 92 | 1.1081 | 0.4011 | 1.1081 | 1.0527 |
| No log | 1.2877 | 94 | 1.2066 | 0.3768 | 1.2066 | 1.0985 |
| No log | 1.3151 | 96 | 1.3617 | 0.3677 | 1.3617 | 1.1669 |
| No log | 1.3425 | 98 | 1.3406 | 0.3733 | 1.3406 | 1.1578 |
| No log | 1.3699 | 100 | 1.2476 | 0.3681 | 1.2476 | 1.1170 |
| No log | 1.3973 | 102 | 1.1628 | 0.4073 | 1.1628 | 1.0783 |
| No log | 1.4247 | 104 | 1.1209 | 0.4093 | 1.1209 | 1.0587 |
| No log | 1.4521 | 106 | 0.9532 | 0.4870 | 0.9532 | 0.9763 |
| No log | 1.4795 | 108 | 0.8452 | 0.4869 | 0.8452 | 0.9194 |
| No log | 1.5068 | 110 | 0.8371 | 0.5430 | 0.8371 | 0.9149 |
| No log | 1.5342 | 112 | 0.8477 | 0.5466 | 0.8477 | 0.9207 |
| No log | 1.5616 | 114 | 0.9478 | 0.5371 | 0.9478 | 0.9735 |
| No log | 1.5890 | 116 | 1.2010 | 0.3753 | 1.2010 | 1.0959 |
| No log | 1.6164 | 118 | 1.4765 | 0.2656 | 1.4765 | 1.2151 |
| No log | 1.6438 | 120 | 1.4893 | 0.2619 | 1.4893 | 1.2204 |
| No log | 1.6712 | 122 | 1.2677 | 0.3411 | 1.2677 | 1.1259 |
| No log | 1.6986 | 124 | 1.2124 | 0.3316 | 1.2124 | 1.1011 |
| No log | 1.7260 | 126 | 1.1270 | 0.3525 | 1.1270 | 1.0616 |
| No log | 1.7534 | 128 | 1.0620 | 0.3617 | 1.0620 | 1.0306 |
| No log | 1.7808 | 130 | 1.0050 | 0.3934 | 1.0050 | 1.0025 |
| No log | 1.8082 | 132 | 0.9404 | 0.4549 | 0.9404 | 0.9697 |
| No log | 1.8356 | 134 | 0.8796 | 0.5211 | 0.8796 | 0.9379 |
| No log | 1.8630 | 136 | 0.8794 | 0.5060 | 0.8794 | 0.9378 |
| No log | 1.8904 | 138 | 0.8477 | 0.4975 | 0.8477 | 0.9207 |
| No log | 1.9178 | 140 | 0.8336 | 0.5507 | 0.8336 | 0.9130 |
| No log | 1.9452 | 142 | 0.9322 | 0.5045 | 0.9322 | 0.9655 |
| No log | 1.9726 | 144 | 1.0846 | 0.5082 | 1.0846 | 1.0415 |
| No log | 2.0 | 146 | 1.4007 | 0.4422 | 1.4007 | 1.1835 |
| No log | 2.0274 | 148 | 1.4525 | 0.4343 | 1.4525 | 1.2052 |
| No log | 2.0548 | 150 | 1.2582 | 0.4844 | 1.2582 | 1.1217 |
| No log | 2.0822 | 152 | 1.0291 | 0.5000 | 1.0291 | 1.0145 |
| No log | 2.1096 | 154 | 0.8320 | 0.6002 | 0.8320 | 0.9121 |
| No log | 2.1370 | 156 | 0.8766 | 0.5570 | 0.8766 | 0.9363 |
| No log | 2.1644 | 158 | 0.9921 | 0.5642 | 0.9921 | 0.9960 |
| No log | 2.1918 | 160 | 1.0201 | 0.5245 | 1.0201 | 1.0100 |
| No log | 2.2192 | 162 | 0.9788 | 0.5778 | 0.9788 | 0.9894 |
| No log | 2.2466 | 164 | 0.8084 | 0.6131 | 0.8084 | 0.8991 |
| No log | 2.2740 | 166 | 0.8161 | 0.6102 | 0.8161 | 0.9034 |
| No log | 2.3014 | 168 | 1.0668 | 0.5006 | 1.0668 | 1.0329 |
| No log | 2.3288 | 170 | 1.2055 | 0.4988 | 1.2055 | 1.0980 |
| No log | 2.3562 | 172 | 1.3629 | 0.4723 | 1.3629 | 1.1674 |
| No log | 2.3836 | 174 | 1.0366 | 0.4866 | 1.0366 | 1.0181 |
| No log | 2.4110 | 176 | 0.7316 | 0.6548 | 0.7316 | 0.8553 |
| No log | 2.4384 | 178 | 0.7840 | 0.6126 | 0.7840 | 0.8854 |
| No log | 2.4658 | 180 | 0.9270 | 0.5892 | 0.9270 | 0.9628 |
| No log | 2.4932 | 182 | 1.0072 | 0.5512 | 1.0072 | 1.0036 |
| No log | 2.5205 | 184 | 0.9453 | 0.5641 | 0.9453 | 0.9723 |
| No log | 2.5479 | 186 | 0.8298 | 0.6261 | 0.8298 | 0.9109 |
| No log | 2.5753 | 188 | 0.7460 | 0.6154 | 0.7460 | 0.8637 |
| No log | 2.6027 | 190 | 0.7322 | 0.5991 | 0.7322 | 0.8557 |
| No log | 2.6301 | 192 | 0.7689 | 0.6039 | 0.7689 | 0.8769 |
| No log | 2.6575 | 194 | 0.7966 | 0.5999 | 0.7966 | 0.8925 |
| No log | 2.6849 | 196 | 0.7654 | 0.6029 | 0.7654 | 0.8749 |
| No log | 2.7123 | 198 | 0.7443 | 0.5941 | 0.7443 | 0.8628 |
| No log | 2.7397 | 200 | 0.7420 | 0.6198 | 0.7420 | 0.8614 |
| No log | 2.7671 | 202 | 0.7633 | 0.5933 | 0.7633 | 0.8737 |
| No log | 2.7945 | 204 | 0.7814 | 0.5505 | 0.7814 | 0.8840 |
| No log | 2.8219 | 206 | 0.8173 | 0.5592 | 0.8173 | 0.9040 |
| No log | 2.8493 | 208 | 0.8610 | 0.5866 | 0.8610 | 0.9279 |
| No log | 2.8767 | 210 | 0.8581 | 0.6018 | 0.8581 | 0.9264 |
| No log | 2.9041 | 212 | 0.8224 | 0.5608 | 0.8224 | 0.9068 |
| No log | 2.9315 | 214 | 0.8207 | 0.5513 | 0.8207 | 0.9059 |
| No log | 2.9589 | 216 | 0.8474 | 0.5449 | 0.8474 | 0.9205 |
| No log | 2.9863 | 218 | 0.8660 | 0.5573 | 0.8660 | 0.9306 |
| No log | 3.0137 | 220 | 0.9340 | 0.5954 | 0.9340 | 0.9665 |
| No log | 3.0411 | 222 | 0.9299 | 0.5992 | 0.9299 | 0.9643 |
| No log | 3.0685 | 224 | 0.8808 | 0.5980 | 0.8808 | 0.9385 |
| No log | 3.0959 | 226 | 0.8191 | 0.5766 | 0.8191 | 0.9050 |
| No log | 3.1233 | 228 | 0.8094 | 0.5532 | 0.8094 | 0.8997 |
| No log | 3.1507 | 230 | 0.8363 | 0.5277 | 0.8363 | 0.9145 |
| No log | 3.1781 | 232 | 0.8181 | 0.5304 | 0.8181 | 0.9045 |
| No log | 3.2055 | 234 | 0.8230 | 0.5679 | 0.8230 | 0.9072 |
| No log | 3.2329 | 236 | 0.8445 | 0.5224 | 0.8445 | 0.9190 |
| No log | 3.2603 | 238 | 0.8686 | 0.6046 | 0.8686 | 0.9320 |
| No log | 3.2877 | 240 | 1.0920 | 0.5429 | 1.0920 | 1.0450 |
| No log | 3.3151 | 242 | 1.0344 | 0.5490 | 1.0344 | 1.0170 |
| No log | 3.3425 | 244 | 0.8241 | 0.5823 | 0.8241 | 0.9078 |
| No log | 3.3699 | 246 | 0.8872 | 0.5611 | 0.8872 | 0.9419 |
| No log | 3.3973 | 248 | 1.0130 | 0.5706 | 1.0130 | 1.0065 |
| No log | 3.4247 | 250 | 0.9121 | 0.5174 | 0.9121 | 0.9550 |
| No log | 3.4521 | 252 | 0.7662 | 0.5640 | 0.7662 | 0.8753 |
| No log | 3.4795 | 254 | 0.7825 | 0.5859 | 0.7825 | 0.8846 |
| No log | 3.5068 | 256 | 0.9138 | 0.5662 | 0.9138 | 0.9559 |
| No log | 3.5342 | 258 | 0.9908 | 0.5232 | 0.9908 | 0.9954 |
| No log | 3.5616 | 260 | 1.0046 | 0.5347 | 1.0046 | 1.0023 |
| No log | 3.5890 | 262 | 0.9161 | 0.5548 | 0.9161 | 0.9571 |
| No log | 3.6164 | 264 | 0.8314 | 0.5849 | 0.8314 | 0.9118 |
| No log | 3.6438 | 266 | 0.8062 | 0.5828 | 0.8062 | 0.8979 |
| No log | 3.6712 | 268 | 0.8389 | 0.6146 | 0.8389 | 0.9159 |
| No log | 3.6986 | 270 | 0.8192 | 0.5999 | 0.8192 | 0.9051 |
| No log | 3.7260 | 272 | 0.8006 | 0.5999 | 0.8006 | 0.8948 |
| No log | 3.7534 | 274 | 0.7863 | 0.6001 | 0.7863 | 0.8867 |
| No log | 3.7808 | 276 | 0.8460 | 0.5804 | 0.8460 | 0.9198 |
| No log | 3.8082 | 278 | 0.9878 | 0.4939 | 0.9878 | 0.9939 |
| No log | 3.8356 | 280 | 1.0962 | 0.5021 | 1.0962 | 1.0470 |
| No log | 3.8630 | 282 | 1.1068 | 0.5007 | 1.1068 | 1.0520 |
| No log | 3.8904 | 284 | 1.0624 | 0.4942 | 1.0624 | 1.0308 |
| No log | 3.9178 | 286 | 1.0041 | 0.5287 | 1.0041 | 1.0021 |
| No log | 3.9452 | 288 | 0.8922 | 0.5493 | 0.8922 | 0.9446 |
| No log | 3.9726 | 290 | 0.8116 | 0.6055 | 0.8116 | 0.9009 |
| No log | 4.0 | 292 | 0.7825 | 0.5796 | 0.7825 | 0.8846 |
| No log | 4.0274 | 294 | 0.7623 | 0.5920 | 0.7623 | 0.8731 |
| No log | 4.0548 | 296 | 0.7719 | 0.6062 | 0.7719 | 0.8786 |
| No log | 4.0822 | 298 | 0.8257 | 0.5806 | 0.8257 | 0.9087 |
| No log | 4.1096 | 300 | 0.9352 | 0.5329 | 0.9352 | 0.9670 |
| No log | 4.1370 | 302 | 0.9327 | 0.5392 | 0.9327 | 0.9658 |
| No log | 4.1644 | 304 | 0.8358 | 0.5818 | 0.8358 | 0.9142 |
| No log | 4.1918 | 306 | 0.7466 | 0.6313 | 0.7466 | 0.8641 |
| No log | 4.2192 | 308 | 0.7337 | 0.6410 | 0.7337 | 0.8565 |
| No log | 4.2466 | 310 | 0.7460 | 0.6275 | 0.7460 | 0.8637 |
| No log | 4.2740 | 312 | 0.7727 | 0.6006 | 0.7727 | 0.8790 |
| No log | 4.3014 | 314 | 0.9044 | 0.5557 | 0.9044 | 0.9510 |
| No log | 4.3288 | 316 | 1.1197 | 0.5166 | 1.1197 | 1.0582 |
| No log | 4.3562 | 318 | 1.2738 | 0.4613 | 1.2738 | 1.1286 |
| No log | 4.3836 | 320 | 1.2519 | 0.4829 | 1.2519 | 1.1189 |
| No log | 4.4110 | 322 | 1.0633 | 0.5260 | 1.0633 | 1.0312 |
| No log | 4.4384 | 324 | 0.8332 | 0.6060 | 0.8332 | 0.9128 |
| No log | 4.4658 | 326 | 0.7973 | 0.5990 | 0.7973 | 0.8929 |
| No log | 4.4932 | 328 | 0.7903 | 0.5889 | 0.7903 | 0.8890 |
| No log | 4.5205 | 330 | 0.7616 | 0.5993 | 0.7616 | 0.8727 |
| No log | 4.5479 | 332 | 0.7833 | 0.5947 | 0.7833 | 0.8850 |
| No log | 4.5753 | 334 | 0.8322 | 0.5972 | 0.8322 | 0.9123 |
| No log | 4.6027 | 336 | 0.8362 | 0.5826 | 0.8362 | 0.9144 |
| No log | 4.6301 | 338 | 0.7945 | 0.5857 | 0.7945 | 0.8914 |
| No log | 4.6575 | 340 | 0.7557 | 0.5738 | 0.7557 | 0.8693 |
| No log | 4.6849 | 342 | 0.7284 | 0.5950 | 0.7284 | 0.8535 |
| No log | 4.7123 | 344 | 0.7226 | 0.6323 | 0.7226 | 0.8500 |
| No log | 4.7397 | 346 | 0.7268 | 0.6141 | 0.7268 | 0.8525 |
| No log | 4.7671 | 348 | 0.7920 | 0.5256 | 0.7920 | 0.8900 |
| No log | 4.7945 | 350 | 1.0256 | 0.5299 | 1.0256 | 1.0127 |
| No log | 4.8219 | 352 | 1.1870 | 0.4747 | 1.1870 | 1.0895 |
| No log | 4.8493 | 354 | 1.2002 | 0.4828 | 1.2002 | 1.0955 |
| No log | 4.8767 | 356 | 1.0658 | 0.5101 | 1.0658 | 1.0324 |
| No log | 4.9041 | 358 | 0.9661 | 0.5742 | 0.9661 | 0.9829 |
| No log | 4.9315 | 360 | 0.9620 | 0.5815 | 0.9620 | 0.9808 |
| No log | 4.9589 | 362 | 1.0531 | 0.5633 | 1.0531 | 1.0262 |
| No log | 4.9863 | 364 | 1.0957 | 0.5286 | 1.0957 | 1.0467 |
| No log | 5.0137 | 366 | 1.0850 | 0.5338 | 1.0850 | 1.0416 |
| No log | 5.0411 | 368 | 1.0877 | 0.5128 | 1.0877 | 1.0429 |
| No log | 5.0685 | 370 | 1.1431 | 0.4936 | 1.1431 | 1.0692 |
| No log | 5.0959 | 372 | 1.3236 | 0.4455 | 1.3236 | 1.1505 |
| No log | 5.1233 | 374 | 1.4752 | 0.3641 | 1.4752 | 1.2146 |
| No log | 5.1507 | 376 | 1.4252 | 0.3850 | 1.4252 | 1.1938 |
| No log | 5.1781 | 378 | 1.2053 | 0.4501 | 1.2053 | 1.0979 |
| No log | 5.2055 | 380 | 0.9910 | 0.5581 | 0.9910 | 0.9955 |
| No log | 5.2329 | 382 | 0.9226 | 0.5934 | 0.9226 | 0.9605 |
| No log | 5.2603 | 384 | 0.8915 | 0.5935 | 0.8915 | 0.9442 |
| No log | 5.2877 | 386 | 0.9670 | 0.5753 | 0.9670 | 0.9833 |
| No log | 5.3151 | 388 | 1.1171 | 0.5321 | 1.1171 | 1.0569 |
| No log | 5.3425 | 390 | 1.1020 | 0.5741 | 1.1020 | 1.0498 |
| No log | 5.3699 | 392 | 1.1399 | 0.5425 | 1.1399 | 1.0677 |
| No log | 5.3973 | 394 | 1.1955 | 0.5155 | 1.1955 | 1.0934 |
| No log | 5.4247 | 396 | 1.0920 | 0.5134 | 1.0920 | 1.0450 |
| No log | 5.4521 | 398 | 0.9864 | 0.5216 | 0.9864 | 0.9932 |
| No log | 5.4795 | 400 | 0.9037 | 0.5320 | 0.9037 | 0.9506 |
| No log | 5.5068 | 402 | 0.8805 | 0.5463 | 0.8805 | 0.9384 |
| No log | 5.5342 | 404 | 0.8771 | 0.5486 | 0.8771 | 0.9366 |
| No log | 5.5616 | 406 | 0.8814 | 0.6011 | 0.8814 | 0.9388 |
| No log | 5.5890 | 408 | 0.8395 | 0.6091 | 0.8395 | 0.9162 |
| No log | 5.6164 | 410 | 0.8424 | 0.6241 | 0.8424 | 0.9178 |
| No log | 5.6438 | 412 | 0.9268 | 0.5639 | 0.9268 | 0.9627 |
| No log | 5.6712 | 414 | 1.1021 | 0.4971 | 1.1021 | 1.0498 |
| No log | 5.6986 | 416 | 1.2086 | 0.4903 | 1.2086 | 1.0993 |
| No log | 5.7260 | 418 | 1.1475 | 0.4971 | 1.1475 | 1.0712 |
| No log | 5.7534 | 420 | 1.0505 | 0.5155 | 1.0505 | 1.0250 |
| No log | 5.7808 | 422 | 0.9972 | 0.5253 | 0.9972 | 0.9986 |
| No log | 5.8082 | 424 | 0.9341 | 0.5534 | 0.9341 | 0.9665 |
| No log | 5.8356 | 426 | 0.9878 | 0.5592 | 0.9879 | 0.9939 |
| No log | 5.8630 | 428 | 1.0541 | 0.5731 | 1.0541 | 1.0267 |
| No log | 5.8904 | 430 | 1.0357 | 0.5825 | 1.0357 | 1.0177 |
| No log | 5.9178 | 432 | 0.9785 | 0.5956 | 0.9785 | 0.9892 |
| No log | 5.9452 | 434 | 0.8679 | 0.6049 | 0.8679 | 0.9316 |
| No log | 5.9726 | 436 | 0.7931 | 0.6114 | 0.7931 | 0.8906 |
| No log | 6.0 | 438 | 0.7550 | 0.6036 | 0.7550 | 0.8689 |
| No log | 6.0274 | 440 | 0.7454 | 0.6453 | 0.7454 | 0.8634 |
| No log | 6.0548 | 442 | 0.7479 | 0.6436 | 0.7479 | 0.8648 |
| No log | 6.0822 | 444 | 0.7658 | 0.6327 | 0.7658 | 0.8751 |
| No log | 6.1096 | 446 | 0.8526 | 0.5803 | 0.8526 | 0.9233 |
| No log | 6.1370 | 448 | 0.9616 | 0.5446 | 0.9616 | 0.9806 |
| No log | 6.1644 | 450 | 0.9365 | 0.5454 | 0.9365 | 0.9677 |
| No log | 6.1918 | 452 | 0.8529 | 0.5621 | 0.8529 | 0.9235 |
| No log | 6.2192 | 454 | 0.7884 | 0.5898 | 0.7884 | 0.8879 |
| No log | 6.2466 | 456 | 0.7566 | 0.5872 | 0.7566 | 0.8698 |
| No log | 6.2740 | 458 | 0.7884 | 0.5492 | 0.7884 | 0.8879 |
| No log | 6.3014 | 460 | 0.7828 | 0.6132 | 0.7828 | 0.8848 |
| No log | 6.3288 | 462 | 0.7774 | 0.6148 | 0.7774 | 0.8817 |
| No log | 6.3562 | 464 | 0.7988 | 0.5939 | 0.7988 | 0.8937 |
| No log | 6.3836 | 466 | 0.8007 | 0.6099 | 0.8007 | 0.8948 |
| No log | 6.4110 | 468 | 0.8112 | 0.6079 | 0.8112 | 0.9007 |
| No log | 6.4384 | 470 | 0.9288 | 0.5247 | 0.9288 | 0.9638 |
| No log | 6.4658 | 472 | 1.0515 | 0.5229 | 1.0515 | 1.0254 |
| No log | 6.4932 | 474 | 1.0911 | 0.4943 | 1.0911 | 1.0446 |
| No log | 6.5205 | 476 | 1.1406 | 0.4652 | 1.1406 | 1.0680 |
| No log | 6.5479 | 478 | 1.1275 | 0.4755 | 1.1275 | 1.0618 |
| No log | 6.5753 | 480 | 1.0940 | 0.5163 | 1.0940 | 1.0459 |
| No log | 6.6027 | 482 | 0.9352 | 0.5719 | 0.9352 | 0.9670 |
| No log | 6.6301 | 484 | 0.8179 | 0.6143 | 0.8179 | 0.9044 |
| No log | 6.6575 | 486 | 0.8642 | 0.6241 | 0.8642 | 0.9296 |
| No log | 6.6849 | 488 | 0.9283 | 0.6166 | 0.9283 | 0.9635 |
| No log | 6.7123 | 490 | 1.0792 | 0.5543 | 1.0792 | 1.0388 |
| No log | 6.7397 | 492 | 1.1565 | 0.5306 | 1.1565 | 1.0754 |
| No log | 6.7671 | 494 | 1.2049 | 0.5279 | 1.2049 | 1.0977 |
| No log | 6.7945 | 496 | 1.1066 | 0.4992 | 1.1066 | 1.0520 |
| No log | 6.8219 | 498 | 0.9919 | 0.5333 | 0.9919 | 0.9960 |
| 0.468 | 6.8493 | 500 | 1.0055 | 0.5245 | 1.0055 | 1.0028 |
| 0.468 | 6.8767 | 502 | 1.0046 | 0.5308 | 1.0046 | 1.0023 |
| 0.468 | 6.9041 | 504 | 0.9039 | 0.5728 | 0.9039 | 0.9507 |
| 0.468 | 6.9315 | 506 | 0.7984 | 0.6362 | 0.7984 | 0.8935 |
| 0.468 | 6.9589 | 508 | 0.7766 | 0.6362 | 0.7766 | 0.8812 |
| 0.468 | 6.9863 | 510 | 0.8437 | 0.6172 | 0.8437 | 0.9185 |
| 0.468 | 7.0137 | 512 | 1.0259 | 0.5188 | 1.0259 | 1.0129 |
| 0.468 | 7.0411 | 514 | 1.3055 | 0.4659 | 1.3055 | 1.1426 |
| 0.468 | 7.0685 | 516 | 1.5696 | 0.4576 | 1.5696 | 1.2528 |
| 0.468 | 7.0959 | 518 | 1.5971 | 0.4458 | 1.5971 | 1.2638 |
| 0.468 | 7.1233 | 520 | 1.4342 | 0.4303 | 1.4342 | 1.1976 |
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_k15_task1_organization
Base model
aubmindlab/bert-base-arabertv02