Instructions to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_task5_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: 0.6143
- Qwk: 0.5614
- Mse: 0.6143
- Rmse: 0.7838
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 | 0.0208 | 2 | 4.3370 | -0.0160 | 4.3370 | 2.0825 |
| No log | 0.0417 | 4 | 2.5650 | -0.0155 | 2.5650 | 1.6016 |
| No log | 0.0625 | 6 | 1.7238 | -0.0327 | 1.7238 | 1.3129 |
| No log | 0.0833 | 8 | 2.0218 | 0.0719 | 2.0218 | 1.4219 |
| No log | 0.1042 | 10 | 1.3999 | 0.0568 | 1.3999 | 1.1832 |
| No log | 0.125 | 12 | 1.1887 | 0.1296 | 1.1887 | 1.0903 |
| No log | 0.1458 | 14 | 1.4666 | 0.0232 | 1.4666 | 1.2110 |
| No log | 0.1667 | 16 | 1.5185 | -0.0107 | 1.5185 | 1.2323 |
| No log | 0.1875 | 18 | 1.3140 | 0.0523 | 1.3140 | 1.1463 |
| No log | 0.2083 | 20 | 1.0511 | 0.1918 | 1.0511 | 1.0252 |
| No log | 0.2292 | 22 | 1.0005 | 0.3310 | 1.0005 | 1.0003 |
| No log | 0.25 | 24 | 1.0144 | 0.2288 | 1.0144 | 1.0072 |
| No log | 0.2708 | 26 | 1.0428 | 0.2042 | 1.0428 | 1.0212 |
| No log | 0.2917 | 28 | 1.0520 | 0.2441 | 1.0520 | 1.0256 |
| No log | 0.3125 | 30 | 1.1242 | 0.1361 | 1.1242 | 1.0603 |
| No log | 0.3333 | 32 | 1.2038 | 0.0287 | 1.2038 | 1.0972 |
| No log | 0.3542 | 34 | 1.2166 | 0.0201 | 1.2166 | 1.1030 |
| No log | 0.375 | 36 | 1.1680 | 0.1205 | 1.1680 | 1.0808 |
| No log | 0.3958 | 38 | 1.0380 | 0.2268 | 1.0380 | 1.0188 |
| No log | 0.4167 | 40 | 0.9972 | 0.2873 | 0.9972 | 0.9986 |
| No log | 0.4375 | 42 | 0.9840 | 0.3025 | 0.9840 | 0.9920 |
| No log | 0.4583 | 44 | 0.9861 | 0.2811 | 0.9861 | 0.9930 |
| No log | 0.4792 | 46 | 1.1135 | 0.1858 | 1.1135 | 1.0552 |
| No log | 0.5 | 48 | 1.1679 | 0.1233 | 1.1679 | 1.0807 |
| No log | 0.5208 | 50 | 1.1970 | 0.0996 | 1.1970 | 1.0941 |
| No log | 0.5417 | 52 | 1.0729 | 0.1884 | 1.0729 | 1.0358 |
| No log | 0.5625 | 54 | 0.9267 | 0.3583 | 0.9267 | 0.9626 |
| No log | 0.5833 | 56 | 0.8768 | 0.2667 | 0.8768 | 0.9364 |
| No log | 0.6042 | 58 | 0.9247 | 0.2873 | 0.9247 | 0.9616 |
| No log | 0.625 | 60 | 1.0027 | 0.1918 | 1.0027 | 1.0013 |
| No log | 0.6458 | 62 | 1.0120 | 0.2066 | 1.0120 | 1.0060 |
| No log | 0.6667 | 64 | 0.9266 | 0.2865 | 0.9266 | 0.9626 |
| No log | 0.6875 | 66 | 0.8664 | 0.2791 | 0.8664 | 0.9308 |
| No log | 0.7083 | 68 | 0.9006 | 0.3330 | 0.9006 | 0.9490 |
| No log | 0.7292 | 70 | 0.8855 | 0.3824 | 0.8855 | 0.9410 |
| No log | 0.75 | 72 | 0.8423 | 0.3958 | 0.8423 | 0.9178 |
| No log | 0.7708 | 74 | 0.7556 | 0.4660 | 0.7556 | 0.8693 |
| No log | 0.7917 | 76 | 0.7273 | 0.4151 | 0.7273 | 0.8528 |
| No log | 0.8125 | 78 | 0.7372 | 0.3713 | 0.7372 | 0.8586 |
| No log | 0.8333 | 80 | 0.8594 | 0.4248 | 0.8594 | 0.9270 |
| No log | 0.8542 | 82 | 0.7742 | 0.4285 | 0.7742 | 0.8799 |
| No log | 0.875 | 84 | 0.7484 | 0.3896 | 0.7484 | 0.8651 |
| No log | 0.8958 | 86 | 0.7342 | 0.4388 | 0.7342 | 0.8568 |
| No log | 0.9167 | 88 | 0.7617 | 0.4862 | 0.7617 | 0.8728 |
| No log | 0.9375 | 90 | 0.9026 | 0.4879 | 0.9026 | 0.9501 |
| No log | 0.9583 | 92 | 0.8388 | 0.5265 | 0.8388 | 0.9159 |
| No log | 0.9792 | 94 | 0.7081 | 0.4903 | 0.7081 | 0.8415 |
| No log | 1.0 | 96 | 0.7392 | 0.4941 | 0.7392 | 0.8598 |
| No log | 1.0208 | 98 | 0.7092 | 0.4903 | 0.7092 | 0.8421 |
| No log | 1.0417 | 100 | 0.7376 | 0.5088 | 0.7376 | 0.8588 |
| No log | 1.0625 | 102 | 0.7049 | 0.5463 | 0.7049 | 0.8396 |
| No log | 1.0833 | 104 | 0.6670 | 0.5415 | 0.6670 | 0.8167 |
| No log | 1.1042 | 106 | 0.6886 | 0.4826 | 0.6886 | 0.8298 |
| No log | 1.125 | 108 | 0.6578 | 0.5259 | 0.6578 | 0.8111 |
| No log | 1.1458 | 110 | 0.8346 | 0.5320 | 0.8346 | 0.9135 |
| No log | 1.1667 | 112 | 1.0035 | 0.4096 | 1.0035 | 1.0017 |
| No log | 1.1875 | 114 | 1.1536 | 0.4215 | 1.1536 | 1.0740 |
| No log | 1.2083 | 116 | 1.0438 | 0.4084 | 1.0438 | 1.0217 |
| No log | 1.2292 | 118 | 0.8475 | 0.3785 | 0.8475 | 0.9206 |
| No log | 1.25 | 120 | 0.8139 | 0.4041 | 0.8139 | 0.9022 |
| No log | 1.2708 | 122 | 0.8212 | 0.3921 | 0.8212 | 0.9062 |
| No log | 1.2917 | 124 | 0.8737 | 0.3954 | 0.8737 | 0.9347 |
| No log | 1.3125 | 126 | 0.8179 | 0.4186 | 0.8179 | 0.9044 |
| No log | 1.3333 | 128 | 0.7928 | 0.4713 | 0.7928 | 0.8904 |
| No log | 1.3542 | 130 | 0.7861 | 0.4494 | 0.7861 | 0.8866 |
| No log | 1.375 | 132 | 0.8133 | 0.4192 | 0.8133 | 0.9019 |
| No log | 1.3958 | 134 | 0.9515 | 0.3847 | 0.9515 | 0.9754 |
| No log | 1.4167 | 136 | 1.0010 | 0.4201 | 1.0010 | 1.0005 |
| No log | 1.4375 | 138 | 0.8510 | 0.4065 | 0.8510 | 0.9225 |
| No log | 1.4583 | 140 | 0.7094 | 0.5003 | 0.7094 | 0.8422 |
| No log | 1.4792 | 142 | 0.6877 | 0.5316 | 0.6877 | 0.8292 |
| No log | 1.5 | 144 | 0.6581 | 0.5796 | 0.6581 | 0.8112 |
| No log | 1.5208 | 146 | 0.6508 | 0.6165 | 0.6508 | 0.8067 |
| No log | 1.5417 | 148 | 0.6959 | 0.5504 | 0.6959 | 0.8342 |
| No log | 1.5625 | 150 | 0.6709 | 0.5666 | 0.6709 | 0.8191 |
| No log | 1.5833 | 152 | 0.6331 | 0.5786 | 0.6331 | 0.7957 |
| No log | 1.6042 | 154 | 0.6203 | 0.6286 | 0.6203 | 0.7876 |
| No log | 1.625 | 156 | 0.6656 | 0.5192 | 0.6656 | 0.8158 |
| No log | 1.6458 | 158 | 0.6792 | 0.5498 | 0.6792 | 0.8241 |
| No log | 1.6667 | 160 | 0.6768 | 0.5898 | 0.6768 | 0.8227 |
| No log | 1.6875 | 162 | 0.6445 | 0.5505 | 0.6445 | 0.8028 |
| No log | 1.7083 | 164 | 0.6591 | 0.5510 | 0.6591 | 0.8118 |
| No log | 1.7292 | 166 | 0.6214 | 0.6123 | 0.6214 | 0.7883 |
| No log | 1.75 | 168 | 0.6256 | 0.6143 | 0.6256 | 0.7909 |
| No log | 1.7708 | 170 | 0.6889 | 0.5395 | 0.6889 | 0.8300 |
| No log | 1.7917 | 172 | 0.7019 | 0.5858 | 0.7019 | 0.8378 |
| No log | 1.8125 | 174 | 0.6735 | 0.5894 | 0.6735 | 0.8207 |
| No log | 1.8333 | 176 | 0.6420 | 0.6067 | 0.6420 | 0.8013 |
| No log | 1.8542 | 178 | 0.6581 | 0.5902 | 0.6581 | 0.8112 |
| No log | 1.875 | 180 | 0.6446 | 0.6217 | 0.6446 | 0.8029 |
| No log | 1.8958 | 182 | 0.6394 | 0.5939 | 0.6394 | 0.7996 |
| No log | 1.9167 | 184 | 0.6456 | 0.5928 | 0.6456 | 0.8035 |
| No log | 1.9375 | 186 | 0.6819 | 0.5837 | 0.6819 | 0.8258 |
| No log | 1.9583 | 188 | 0.8502 | 0.5902 | 0.8502 | 0.9221 |
| No log | 1.9792 | 190 | 1.0694 | 0.4145 | 1.0694 | 1.0341 |
| No log | 2.0 | 192 | 1.0673 | 0.3830 | 1.0673 | 1.0331 |
| No log | 2.0208 | 194 | 0.8616 | 0.5588 | 0.8616 | 0.9282 |
| No log | 2.0417 | 196 | 0.7016 | 0.4692 | 0.7016 | 0.8376 |
| No log | 2.0625 | 198 | 0.6916 | 0.4914 | 0.6916 | 0.8316 |
| No log | 2.0833 | 200 | 0.6935 | 0.4692 | 0.6935 | 0.8328 |
| No log | 2.1042 | 202 | 0.6926 | 0.4456 | 0.6926 | 0.8322 |
| No log | 2.125 | 204 | 0.7447 | 0.4947 | 0.7447 | 0.8629 |
| No log | 2.1458 | 206 | 0.8705 | 0.5006 | 0.8705 | 0.9330 |
| No log | 2.1667 | 208 | 0.8125 | 0.5086 | 0.8125 | 0.9014 |
| No log | 2.1875 | 210 | 0.6781 | 0.5145 | 0.6781 | 0.8235 |
| No log | 2.2083 | 212 | 0.6360 | 0.5635 | 0.6360 | 0.7975 |
| No log | 2.2292 | 214 | 0.6522 | 0.5593 | 0.6522 | 0.8076 |
| No log | 2.25 | 216 | 0.6618 | 0.5811 | 0.6618 | 0.8135 |
| No log | 2.2708 | 218 | 0.6718 | 0.5642 | 0.6718 | 0.8196 |
| No log | 2.2917 | 220 | 0.6281 | 0.6063 | 0.6281 | 0.7925 |
| No log | 2.3125 | 222 | 0.5929 | 0.6311 | 0.5929 | 0.7700 |
| No log | 2.3333 | 224 | 0.5803 | 0.6772 | 0.5803 | 0.7617 |
| No log | 2.3542 | 226 | 0.6000 | 0.6347 | 0.6000 | 0.7746 |
| No log | 2.375 | 228 | 0.6494 | 0.5654 | 0.6494 | 0.8058 |
| No log | 2.3958 | 230 | 0.6217 | 0.5810 | 0.6217 | 0.7885 |
| No log | 2.4167 | 232 | 0.6290 | 0.5459 | 0.6290 | 0.7931 |
| No log | 2.4375 | 234 | 0.6353 | 0.5112 | 0.6353 | 0.7971 |
| No log | 2.4583 | 236 | 0.6003 | 0.5747 | 0.6003 | 0.7748 |
| No log | 2.4792 | 238 | 0.6333 | 0.5992 | 0.6333 | 0.7958 |
| No log | 2.5 | 240 | 0.6102 | 0.6045 | 0.6102 | 0.7811 |
| No log | 2.5208 | 242 | 0.5786 | 0.6518 | 0.5786 | 0.7607 |
| No log | 2.5417 | 244 | 0.6980 | 0.5902 | 0.6980 | 0.8355 |
| No log | 2.5625 | 246 | 0.7803 | 0.5488 | 0.7803 | 0.8833 |
| No log | 2.5833 | 248 | 0.6876 | 0.6182 | 0.6876 | 0.8292 |
| No log | 2.6042 | 250 | 0.7215 | 0.6084 | 0.7215 | 0.8494 |
| No log | 2.625 | 252 | 0.7390 | 0.5891 | 0.7390 | 0.8596 |
| No log | 2.6458 | 254 | 0.7085 | 0.6014 | 0.7085 | 0.8417 |
| No log | 2.6667 | 256 | 0.6790 | 0.5770 | 0.6790 | 0.8240 |
| No log | 2.6875 | 258 | 0.7206 | 0.5805 | 0.7206 | 0.8489 |
| No log | 2.7083 | 260 | 0.8137 | 0.5701 | 0.8137 | 0.9021 |
| No log | 2.7292 | 262 | 0.6985 | 0.5565 | 0.6985 | 0.8358 |
| No log | 2.75 | 264 | 0.6203 | 0.6185 | 0.6203 | 0.7876 |
| No log | 2.7708 | 266 | 0.6347 | 0.5894 | 0.6347 | 0.7967 |
| No log | 2.7917 | 268 | 0.6460 | 0.6167 | 0.6460 | 0.8037 |
| No log | 2.8125 | 270 | 0.6647 | 0.6157 | 0.6647 | 0.8153 |
| No log | 2.8333 | 272 | 0.6096 | 0.6499 | 0.6096 | 0.7808 |
| No log | 2.8542 | 274 | 0.5757 | 0.6405 | 0.5757 | 0.7587 |
| No log | 2.875 | 276 | 0.5735 | 0.6564 | 0.5735 | 0.7573 |
| No log | 2.8958 | 278 | 0.5711 | 0.6564 | 0.5711 | 0.7557 |
| No log | 2.9167 | 280 | 0.5726 | 0.6564 | 0.5726 | 0.7567 |
| No log | 2.9375 | 282 | 0.5938 | 0.6598 | 0.5938 | 0.7706 |
| No log | 2.9583 | 284 | 0.6287 | 0.5794 | 0.6287 | 0.7929 |
| No log | 2.9792 | 286 | 0.6196 | 0.5955 | 0.6196 | 0.7871 |
| No log | 3.0 | 288 | 0.6195 | 0.6014 | 0.6195 | 0.7871 |
| No log | 3.0208 | 290 | 0.6301 | 0.6014 | 0.6301 | 0.7938 |
| No log | 3.0417 | 292 | 0.6359 | 0.5797 | 0.6359 | 0.7975 |
| No log | 3.0625 | 294 | 0.6381 | 0.5274 | 0.6381 | 0.7988 |
| No log | 3.0833 | 296 | 0.6375 | 0.5048 | 0.6375 | 0.7984 |
| No log | 3.1042 | 298 | 0.6207 | 0.5510 | 0.6207 | 0.7878 |
| No log | 3.125 | 300 | 0.6086 | 0.5822 | 0.6086 | 0.7801 |
| No log | 3.1458 | 302 | 0.6193 | 0.5666 | 0.6193 | 0.7870 |
| No log | 3.1667 | 304 | 0.6608 | 0.5593 | 0.6608 | 0.8129 |
| No log | 3.1875 | 306 | 0.7051 | 0.5711 | 0.7051 | 0.8397 |
| No log | 3.2083 | 308 | 0.6858 | 0.5721 | 0.6858 | 0.8281 |
| No log | 3.2292 | 310 | 0.5951 | 0.6076 | 0.5951 | 0.7714 |
| No log | 3.25 | 312 | 0.5987 | 0.5891 | 0.5987 | 0.7738 |
| No log | 3.2708 | 314 | 0.6116 | 0.5316 | 0.6116 | 0.7820 |
| No log | 3.2917 | 316 | 0.6472 | 0.5855 | 0.6472 | 0.8045 |
| No log | 3.3125 | 318 | 0.6624 | 0.5731 | 0.6624 | 0.8139 |
| No log | 3.3333 | 320 | 0.6400 | 0.6081 | 0.6400 | 0.8000 |
| No log | 3.3542 | 322 | 0.5966 | 0.5871 | 0.5966 | 0.7724 |
| No log | 3.375 | 324 | 0.5996 | 0.5996 | 0.5996 | 0.7744 |
| No log | 3.3958 | 326 | 0.6096 | 0.6396 | 0.6096 | 0.7808 |
| No log | 3.4167 | 328 | 0.6083 | 0.5700 | 0.6083 | 0.7799 |
| No log | 3.4375 | 330 | 0.6262 | 0.5605 | 0.6262 | 0.7913 |
| No log | 3.4583 | 332 | 0.6301 | 0.5273 | 0.6301 | 0.7938 |
| No log | 3.4792 | 334 | 0.6334 | 0.5018 | 0.6334 | 0.7959 |
| No log | 3.5 | 336 | 0.6296 | 0.5631 | 0.6296 | 0.7935 |
| No log | 3.5208 | 338 | 0.6480 | 0.5428 | 0.6480 | 0.8050 |
| No log | 3.5417 | 340 | 0.6947 | 0.4626 | 0.6947 | 0.8335 |
| No log | 3.5625 | 342 | 0.7398 | 0.4763 | 0.7398 | 0.8601 |
| No log | 3.5833 | 344 | 0.6842 | 0.4721 | 0.6842 | 0.8271 |
| No log | 3.6042 | 346 | 0.6584 | 0.5822 | 0.6584 | 0.8114 |
| No log | 3.625 | 348 | 0.6702 | 0.5318 | 0.6702 | 0.8187 |
| No log | 3.6458 | 350 | 0.6693 | 0.5245 | 0.6693 | 0.8181 |
| No log | 3.6667 | 352 | 0.6774 | 0.5011 | 0.6774 | 0.8231 |
| No log | 3.6875 | 354 | 0.6718 | 0.5259 | 0.6718 | 0.8196 |
| No log | 3.7083 | 356 | 0.6588 | 0.5245 | 0.6588 | 0.8117 |
| No log | 3.7292 | 358 | 0.6303 | 0.4624 | 0.6303 | 0.7939 |
| No log | 3.75 | 360 | 0.6187 | 0.5171 | 0.6187 | 0.7866 |
| No log | 3.7708 | 362 | 0.6296 | 0.5450 | 0.6296 | 0.7934 |
| No log | 3.7917 | 364 | 0.6510 | 0.5450 | 0.6510 | 0.8068 |
| No log | 3.8125 | 366 | 0.6746 | 0.6272 | 0.6746 | 0.8213 |
| No log | 3.8333 | 368 | 0.6848 | 0.6161 | 0.6848 | 0.8275 |
| No log | 3.8542 | 370 | 0.6782 | 0.5451 | 0.6782 | 0.8235 |
| No log | 3.875 | 372 | 0.6468 | 0.6107 | 0.6468 | 0.8042 |
| No log | 3.8958 | 374 | 0.6734 | 0.5815 | 0.6734 | 0.8206 |
| No log | 3.9167 | 376 | 0.7458 | 0.5357 | 0.7458 | 0.8636 |
| No log | 3.9375 | 378 | 0.6931 | 0.5640 | 0.6931 | 0.8325 |
| No log | 3.9583 | 380 | 0.6609 | 0.5662 | 0.6609 | 0.8130 |
| No log | 3.9792 | 382 | 0.6395 | 0.5450 | 0.6395 | 0.7997 |
| No log | 4.0 | 384 | 0.6258 | 0.5450 | 0.6258 | 0.7911 |
| No log | 4.0208 | 386 | 0.6562 | 0.5384 | 0.6562 | 0.8101 |
| No log | 4.0417 | 388 | 0.7024 | 0.5270 | 0.7024 | 0.8381 |
| No log | 4.0625 | 390 | 0.7077 | 0.5387 | 0.7077 | 0.8413 |
| No log | 4.0833 | 392 | 0.6416 | 0.5667 | 0.6416 | 0.8010 |
| No log | 4.1042 | 394 | 0.6406 | 0.5873 | 0.6406 | 0.8004 |
| No log | 4.125 | 396 | 0.7150 | 0.5581 | 0.7150 | 0.8455 |
| No log | 4.1458 | 398 | 0.6967 | 0.5781 | 0.6967 | 0.8347 |
| No log | 4.1667 | 400 | 0.6214 | 0.6466 | 0.6214 | 0.7883 |
| No log | 4.1875 | 402 | 0.6028 | 0.6228 | 0.6028 | 0.7764 |
| No log | 4.2083 | 404 | 0.6186 | 0.6466 | 0.6186 | 0.7865 |
| No log | 4.2292 | 406 | 0.6481 | 0.6248 | 0.6481 | 0.8051 |
| No log | 4.25 | 408 | 0.6509 | 0.6140 | 0.6509 | 0.8068 |
| No log | 4.2708 | 410 | 0.6887 | 0.6130 | 0.6887 | 0.8299 |
| No log | 4.2917 | 412 | 0.7338 | 0.5664 | 0.7338 | 0.8566 |
| No log | 4.3125 | 414 | 0.7955 | 0.5186 | 0.7955 | 0.8919 |
| No log | 4.3333 | 416 | 0.8442 | 0.48 | 0.8442 | 0.9188 |
| No log | 4.3542 | 418 | 0.7289 | 0.5180 | 0.7289 | 0.8537 |
| No log | 4.375 | 420 | 0.5991 | 0.6139 | 0.5991 | 0.7740 |
| No log | 4.3958 | 422 | 0.5886 | 0.5556 | 0.5886 | 0.7672 |
| No log | 4.4167 | 424 | 0.6254 | 0.6139 | 0.6254 | 0.7908 |
| No log | 4.4375 | 426 | 0.6439 | 0.5988 | 0.6439 | 0.8024 |
| No log | 4.4583 | 428 | 0.6824 | 0.6215 | 0.6824 | 0.8261 |
| No log | 4.4792 | 430 | 0.6942 | 0.5536 | 0.6942 | 0.8332 |
| No log | 4.5 | 432 | 0.7167 | 0.5451 | 0.7167 | 0.8466 |
| No log | 4.5208 | 434 | 0.6327 | 0.5809 | 0.6327 | 0.7954 |
| No log | 4.5417 | 436 | 0.6426 | 0.5642 | 0.6426 | 0.8016 |
| No log | 4.5625 | 438 | 0.7076 | 0.5266 | 0.7076 | 0.8412 |
| No log | 4.5833 | 440 | 0.6732 | 0.5521 | 0.6732 | 0.8205 |
| No log | 4.6042 | 442 | 0.6317 | 0.5042 | 0.6317 | 0.7948 |
| No log | 4.625 | 444 | 0.6669 | 0.5491 | 0.6669 | 0.8167 |
| No log | 4.6458 | 446 | 0.6589 | 0.5491 | 0.6589 | 0.8117 |
| No log | 4.6667 | 448 | 0.6350 | 0.5317 | 0.6350 | 0.7969 |
| No log | 4.6875 | 450 | 0.6218 | 0.5653 | 0.6218 | 0.7885 |
| No log | 4.7083 | 452 | 0.6237 | 0.5509 | 0.6237 | 0.7897 |
| No log | 4.7292 | 454 | 0.6251 | 0.6255 | 0.6251 | 0.7906 |
| No log | 4.75 | 456 | 0.6026 | 0.6646 | 0.6026 | 0.7763 |
| No log | 4.7708 | 458 | 0.5782 | 0.5690 | 0.5782 | 0.7604 |
| No log | 4.7917 | 460 | 0.5986 | 0.4958 | 0.5986 | 0.7737 |
| No log | 4.8125 | 462 | 0.6021 | 0.5469 | 0.6021 | 0.7759 |
| No log | 4.8333 | 464 | 0.5839 | 0.5926 | 0.5839 | 0.7642 |
| No log | 4.8542 | 466 | 0.5909 | 0.6014 | 0.5909 | 0.7687 |
| No log | 4.875 | 468 | 0.5973 | 0.5894 | 0.5973 | 0.7728 |
| No log | 4.8958 | 470 | 0.5934 | 0.5859 | 0.5934 | 0.7703 |
| No log | 4.9167 | 472 | 0.6312 | 0.5477 | 0.6312 | 0.7945 |
| No log | 4.9375 | 474 | 0.6257 | 0.5716 | 0.6257 | 0.7910 |
| No log | 4.9583 | 476 | 0.6200 | 0.5469 | 0.6200 | 0.7874 |
| No log | 4.9792 | 478 | 0.6294 | 0.5469 | 0.6294 | 0.7933 |
| No log | 5.0 | 480 | 0.6232 | 0.4925 | 0.6232 | 0.7894 |
| No log | 5.0208 | 482 | 0.6172 | 0.4764 | 0.6172 | 0.7856 |
| No log | 5.0417 | 484 | 0.6064 | 0.5127 | 0.6064 | 0.7787 |
| No log | 5.0625 | 486 | 0.5915 | 0.5577 | 0.5915 | 0.7691 |
| No log | 5.0833 | 488 | 0.5845 | 0.6695 | 0.5845 | 0.7645 |
| No log | 5.1042 | 490 | 0.5793 | 0.6695 | 0.5793 | 0.7611 |
| No log | 5.125 | 492 | 0.6043 | 0.5948 | 0.6043 | 0.7774 |
| No log | 5.1458 | 494 | 0.6114 | 0.5740 | 0.6114 | 0.7819 |
| No log | 5.1667 | 496 | 0.5883 | 0.6102 | 0.5883 | 0.7670 |
| No log | 5.1875 | 498 | 0.5859 | 0.6681 | 0.5859 | 0.7654 |
| 0.3091 | 5.2083 | 500 | 0.5802 | 0.6354 | 0.5802 | 0.7617 |
| 0.3091 | 5.2292 | 502 | 0.5783 | 0.6849 | 0.5783 | 0.7605 |
| 0.3091 | 5.25 | 504 | 0.6198 | 0.5822 | 0.6198 | 0.7872 |
| 0.3091 | 5.2708 | 506 | 0.6640 | 0.6015 | 0.6640 | 0.8149 |
| 0.3091 | 5.2917 | 508 | 0.6653 | 0.6015 | 0.6653 | 0.8157 |
| 0.3091 | 5.3125 | 510 | 0.5866 | 0.6361 | 0.5866 | 0.7659 |
| 0.3091 | 5.3333 | 512 | 0.5628 | 0.6610 | 0.5628 | 0.7502 |
| 0.3091 | 5.3542 | 514 | 0.5720 | 0.6770 | 0.5720 | 0.7563 |
| 0.3091 | 5.375 | 516 | 0.5597 | 0.6849 | 0.5597 | 0.7481 |
| 0.3091 | 5.3958 | 518 | 0.6029 | 0.5938 | 0.6029 | 0.7765 |
| 0.3091 | 5.4167 | 520 | 0.6383 | 0.5822 | 0.6383 | 0.7990 |
| 0.3091 | 5.4375 | 522 | 0.5999 | 0.5408 | 0.5999 | 0.7745 |
| 0.3091 | 5.4583 | 524 | 0.5975 | 0.5728 | 0.5975 | 0.7730 |
| 0.3091 | 5.4792 | 526 | 0.6143 | 0.5614 | 0.6143 | 0.7838 |
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_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_task5_organization
Base model
aubmindlab/bert-base-arabertv02