Instructions to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k10_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_run3_AugV5_k10_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_run3_AugV5_k10_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k10_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k10_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k10_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: 0.6465
- Qwk: 0.7286
- Mse: 0.6465
- Rmse: 0.8041
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 | 0.0417 | 2 | 7.1092 | -0.0056 | 7.1092 | 2.6663 |
| No log | 0.0833 | 4 | 4.7202 | 0.0650 | 4.7202 | 2.1726 |
| No log | 0.125 | 6 | 3.7504 | -0.0625 | 3.7504 | 1.9366 |
| No log | 0.1667 | 8 | 2.8176 | -0.0290 | 2.8176 | 1.6786 |
| No log | 0.2083 | 10 | 1.8623 | 0.2439 | 1.8623 | 1.3647 |
| No log | 0.25 | 12 | 1.7086 | 0.3946 | 1.7086 | 1.3071 |
| No log | 0.2917 | 14 | 2.1281 | 0.3030 | 2.1281 | 1.4588 |
| No log | 0.3333 | 16 | 2.0295 | 0.3418 | 2.0295 | 1.4246 |
| No log | 0.375 | 18 | 1.5977 | 0.4265 | 1.5977 | 1.2640 |
| No log | 0.4167 | 20 | 1.4924 | 0.2759 | 1.4924 | 1.2216 |
| No log | 0.4583 | 22 | 1.4243 | 0.2906 | 1.4243 | 1.1935 |
| No log | 0.5 | 24 | 1.3952 | 0.3361 | 1.3952 | 1.1812 |
| No log | 0.5417 | 26 | 1.4237 | 0.4478 | 1.4237 | 1.1932 |
| No log | 0.5833 | 28 | 2.0990 | 0.2420 | 2.0990 | 1.4488 |
| No log | 0.625 | 30 | 2.4197 | 0.2073 | 2.4197 | 1.5555 |
| No log | 0.6667 | 32 | 2.1095 | 0.2548 | 2.1095 | 1.4524 |
| No log | 0.7083 | 34 | 1.6181 | 0.4 | 1.6181 | 1.2721 |
| No log | 0.75 | 36 | 1.5950 | 0.3607 | 1.5950 | 1.2629 |
| No log | 0.7917 | 38 | 1.7574 | 0.4 | 1.7574 | 1.3257 |
| No log | 0.8333 | 40 | 1.9696 | 0.2571 | 1.9696 | 1.4034 |
| No log | 0.875 | 42 | 2.0632 | 0.2603 | 2.0632 | 1.4364 |
| No log | 0.9167 | 44 | 2.1488 | 0.2533 | 2.1488 | 1.4659 |
| No log | 0.9583 | 46 | 2.0972 | 0.2516 | 2.0972 | 1.4482 |
| No log | 1.0 | 48 | 2.3491 | 0.2604 | 2.3491 | 1.5327 |
| No log | 1.0417 | 50 | 2.5196 | 0.2947 | 2.5196 | 1.5873 |
| No log | 1.0833 | 52 | 2.1018 | 0.3294 | 2.1018 | 1.4498 |
| No log | 1.125 | 54 | 1.7972 | 0.4268 | 1.7972 | 1.3406 |
| No log | 1.1667 | 56 | 1.9035 | 0.4 | 1.9035 | 1.3797 |
| No log | 1.2083 | 58 | 1.9711 | 0.3735 | 1.9711 | 1.4040 |
| No log | 1.25 | 60 | 2.2989 | 0.2395 | 2.2989 | 1.5162 |
| No log | 1.2917 | 62 | 2.3410 | 0.2012 | 2.3410 | 1.5300 |
| No log | 1.3333 | 64 | 2.0027 | 0.3117 | 2.0027 | 1.4152 |
| No log | 1.375 | 66 | 1.2317 | 0.5255 | 1.2317 | 1.1098 |
| No log | 1.4167 | 68 | 0.9899 | 0.6176 | 0.9899 | 0.9949 |
| No log | 1.4583 | 70 | 1.0857 | 0.5909 | 1.0857 | 1.0420 |
| No log | 1.5 | 72 | 1.0289 | 0.6294 | 1.0289 | 1.0143 |
| No log | 1.5417 | 74 | 1.1017 | 0.6538 | 1.1017 | 1.0496 |
| No log | 1.5833 | 76 | 1.2838 | 0.5093 | 1.2838 | 1.1330 |
| No log | 1.625 | 78 | 1.0498 | 0.675 | 1.0498 | 1.0246 |
| No log | 1.6667 | 80 | 0.8400 | 0.6968 | 0.8400 | 0.9165 |
| No log | 1.7083 | 82 | 0.8151 | 0.7355 | 0.8151 | 0.9028 |
| No log | 1.75 | 84 | 0.8163 | 0.7484 | 0.8163 | 0.9035 |
| No log | 1.7917 | 86 | 0.8151 | 0.7059 | 0.8151 | 0.9028 |
| No log | 1.8333 | 88 | 0.7971 | 0.7451 | 0.7971 | 0.8928 |
| No log | 1.875 | 90 | 0.8046 | 0.7383 | 0.8046 | 0.8970 |
| No log | 1.9167 | 92 | 0.8181 | 0.7448 | 0.8181 | 0.9045 |
| No log | 1.9583 | 94 | 0.8422 | 0.6759 | 0.8422 | 0.9177 |
| No log | 2.0 | 96 | 0.8685 | 0.6849 | 0.8685 | 0.9319 |
| No log | 2.0417 | 98 | 0.8768 | 0.6939 | 0.8768 | 0.9364 |
| No log | 2.0833 | 100 | 0.9096 | 0.6939 | 0.9096 | 0.9537 |
| No log | 2.125 | 102 | 1.0181 | 0.625 | 1.0181 | 1.0090 |
| No log | 2.1667 | 104 | 0.9991 | 0.6623 | 0.9991 | 0.9995 |
| No log | 2.2083 | 106 | 0.9997 | 0.6443 | 0.9997 | 0.9999 |
| No log | 2.25 | 108 | 1.0211 | 0.6475 | 1.0211 | 1.0105 |
| No log | 2.2917 | 110 | 1.0913 | 0.5588 | 1.0913 | 1.0447 |
| No log | 2.3333 | 112 | 0.9184 | 0.6475 | 0.9184 | 0.9583 |
| No log | 2.375 | 114 | 0.8202 | 0.7092 | 0.8202 | 0.9056 |
| No log | 2.4167 | 116 | 0.7603 | 0.6950 | 0.7603 | 0.8720 |
| No log | 2.4583 | 118 | 0.7237 | 0.7042 | 0.7237 | 0.8507 |
| No log | 2.5 | 120 | 0.7305 | 0.7534 | 0.7305 | 0.8547 |
| No log | 2.5417 | 122 | 1.0791 | 0.5882 | 1.0791 | 1.0388 |
| No log | 2.5833 | 124 | 1.2395 | 0.5109 | 1.2395 | 1.1133 |
| No log | 2.625 | 126 | 0.8350 | 0.6809 | 0.8350 | 0.9138 |
| No log | 2.6667 | 128 | 0.8286 | 0.7123 | 0.8286 | 0.9103 |
| No log | 2.7083 | 130 | 0.6803 | 0.7613 | 0.6803 | 0.8248 |
| No log | 2.75 | 132 | 0.6392 | 0.7692 | 0.6392 | 0.7995 |
| No log | 2.7917 | 134 | 0.5722 | 0.8221 | 0.5722 | 0.7564 |
| No log | 2.8333 | 136 | 0.6054 | 0.8293 | 0.6054 | 0.7781 |
| No log | 2.875 | 138 | 0.6364 | 0.8101 | 0.6364 | 0.7977 |
| No log | 2.9167 | 140 | 0.6987 | 0.7403 | 0.6987 | 0.8359 |
| No log | 2.9583 | 142 | 0.7070 | 0.7320 | 0.7070 | 0.8408 |
| No log | 3.0 | 144 | 0.7148 | 0.7320 | 0.7148 | 0.8455 |
| No log | 3.0417 | 146 | 0.8502 | 0.7239 | 0.8502 | 0.9221 |
| No log | 3.0833 | 148 | 0.8292 | 0.7283 | 0.8292 | 0.9106 |
| No log | 3.125 | 150 | 0.6671 | 0.7799 | 0.6671 | 0.8168 |
| No log | 3.1667 | 152 | 0.9650 | 0.6667 | 0.9650 | 0.9823 |
| No log | 3.2083 | 154 | 1.1387 | 0.4848 | 1.1387 | 1.0671 |
| No log | 3.25 | 156 | 0.7834 | 0.7211 | 0.7834 | 0.8851 |
| No log | 3.2917 | 158 | 0.6509 | 0.8070 | 0.6509 | 0.8068 |
| No log | 3.3333 | 160 | 0.9872 | 0.7282 | 0.9872 | 0.9936 |
| No log | 3.375 | 162 | 0.9003 | 0.7576 | 0.9003 | 0.9489 |
| No log | 3.4167 | 164 | 0.6928 | 0.8287 | 0.6928 | 0.8323 |
| No log | 3.4583 | 166 | 0.9555 | 0.6788 | 0.9555 | 0.9775 |
| No log | 3.5 | 168 | 1.6767 | 0.3429 | 1.6767 | 1.2949 |
| No log | 3.5417 | 170 | 1.5285 | 0.4286 | 1.5285 | 1.2363 |
| No log | 3.5833 | 172 | 1.0191 | 0.6259 | 1.0191 | 1.0095 |
| No log | 3.625 | 174 | 0.6971 | 0.75 | 0.6971 | 0.8349 |
| No log | 3.6667 | 176 | 0.6567 | 0.7853 | 0.6567 | 0.8104 |
| No log | 3.7083 | 178 | 0.6748 | 0.7771 | 0.6748 | 0.8215 |
| No log | 3.75 | 180 | 0.7057 | 0.7403 | 0.7057 | 0.8401 |
| No log | 3.7917 | 182 | 0.7782 | 0.7260 | 0.7782 | 0.8822 |
| No log | 3.8333 | 184 | 0.8044 | 0.7324 | 0.8044 | 0.8969 |
| No log | 3.875 | 186 | 0.7651 | 0.7042 | 0.7651 | 0.8747 |
| No log | 3.9167 | 188 | 0.8063 | 0.6621 | 0.8063 | 0.8979 |
| No log | 3.9583 | 190 | 0.8693 | 0.6389 | 0.8693 | 0.9323 |
| No log | 4.0 | 192 | 0.8635 | 0.6711 | 0.8635 | 0.9292 |
| No log | 4.0417 | 194 | 0.7799 | 0.7342 | 0.7799 | 0.8831 |
| No log | 4.0833 | 196 | 0.7026 | 0.8121 | 0.7026 | 0.8382 |
| No log | 4.125 | 198 | 0.6761 | 0.8047 | 0.6761 | 0.8223 |
| No log | 4.1667 | 200 | 0.6593 | 0.7907 | 0.6593 | 0.8120 |
| No log | 4.2083 | 202 | 0.6560 | 0.8092 | 0.6560 | 0.8100 |
| No log | 4.25 | 204 | 0.7756 | 0.7412 | 0.7756 | 0.8807 |
| No log | 4.2917 | 206 | 0.8526 | 0.7349 | 0.8526 | 0.9234 |
| No log | 4.3333 | 208 | 0.7755 | 0.7237 | 0.7755 | 0.8806 |
| No log | 4.375 | 210 | 0.7892 | 0.72 | 0.7892 | 0.8884 |
| No log | 4.4167 | 212 | 0.7750 | 0.6980 | 0.7750 | 0.8804 |
| No log | 4.4583 | 214 | 0.7815 | 0.7067 | 0.7815 | 0.8840 |
| No log | 4.5 | 216 | 0.7749 | 0.7097 | 0.7749 | 0.8803 |
| No log | 4.5417 | 218 | 0.6747 | 0.7547 | 0.6747 | 0.8214 |
| No log | 4.5833 | 220 | 0.6119 | 0.7947 | 0.6119 | 0.7823 |
| No log | 4.625 | 222 | 0.6324 | 0.7651 | 0.6324 | 0.7952 |
| No log | 4.6667 | 224 | 0.6259 | 0.7785 | 0.6259 | 0.7911 |
| No log | 4.7083 | 226 | 0.6277 | 0.7682 | 0.6277 | 0.7923 |
| No log | 4.75 | 228 | 0.7309 | 0.7643 | 0.7309 | 0.8549 |
| No log | 4.7917 | 230 | 0.9055 | 0.6710 | 0.9055 | 0.9516 |
| No log | 4.8333 | 232 | 0.9765 | 0.6494 | 0.9765 | 0.9882 |
| No log | 4.875 | 234 | 0.9581 | 0.6494 | 0.9581 | 0.9789 |
| No log | 4.9167 | 236 | 0.7724 | 0.7547 | 0.7724 | 0.8789 |
| No log | 4.9583 | 238 | 0.6605 | 0.7403 | 0.6605 | 0.8127 |
| No log | 5.0 | 240 | 0.6551 | 0.7722 | 0.6551 | 0.8094 |
| No log | 5.0417 | 242 | 0.7697 | 0.7738 | 0.7697 | 0.8773 |
| No log | 5.0833 | 244 | 0.9975 | 0.6848 | 0.9975 | 0.9988 |
| No log | 5.125 | 246 | 1.2129 | 0.6316 | 1.2129 | 1.1013 |
| No log | 5.1667 | 248 | 1.0851 | 0.6524 | 1.0851 | 1.0417 |
| No log | 5.2083 | 250 | 0.7501 | 0.7738 | 0.7501 | 0.8661 |
| No log | 5.25 | 252 | 0.6082 | 0.7792 | 0.6082 | 0.7799 |
| No log | 5.2917 | 254 | 0.6859 | 0.7413 | 0.6859 | 0.8282 |
| No log | 5.3333 | 256 | 0.7477 | 0.7143 | 0.7477 | 0.8647 |
| No log | 5.375 | 258 | 0.6946 | 0.7413 | 0.6946 | 0.8334 |
| No log | 5.4167 | 260 | 0.6497 | 0.7973 | 0.6497 | 0.8060 |
| No log | 5.4583 | 262 | 0.6693 | 0.7895 | 0.6693 | 0.8181 |
| No log | 5.5 | 264 | 0.7097 | 0.7237 | 0.7097 | 0.8424 |
| No log | 5.5417 | 266 | 0.7493 | 0.7105 | 0.7493 | 0.8656 |
| No log | 5.5833 | 268 | 0.7073 | 0.7613 | 0.7073 | 0.8410 |
| No log | 5.625 | 270 | 0.6350 | 0.7742 | 0.6350 | 0.7969 |
| No log | 5.6667 | 272 | 0.6357 | 0.7484 | 0.6357 | 0.7973 |
| No log | 5.7083 | 274 | 0.6042 | 0.7875 | 0.6042 | 0.7773 |
| No log | 5.75 | 276 | 0.6190 | 0.8118 | 0.6190 | 0.7868 |
| No log | 5.7917 | 278 | 0.6885 | 0.7811 | 0.6885 | 0.8298 |
| No log | 5.8333 | 280 | 0.8016 | 0.7514 | 0.8016 | 0.8953 |
| No log | 5.875 | 282 | 0.8415 | 0.7305 | 0.8415 | 0.9173 |
| No log | 5.9167 | 284 | 0.7907 | 0.7143 | 0.7907 | 0.8892 |
| No log | 5.9583 | 286 | 0.7519 | 0.7067 | 0.7519 | 0.8671 |
| No log | 6.0 | 288 | 0.8038 | 0.6345 | 0.8038 | 0.8966 |
| No log | 6.0417 | 290 | 0.8068 | 0.6301 | 0.8068 | 0.8982 |
| No log | 6.0833 | 292 | 0.7920 | 0.6301 | 0.7920 | 0.8899 |
| No log | 6.125 | 294 | 0.7761 | 0.6755 | 0.7761 | 0.8810 |
| No log | 6.1667 | 296 | 0.8738 | 0.6982 | 0.8738 | 0.9348 |
| No log | 6.2083 | 298 | 0.8287 | 0.7024 | 0.8287 | 0.9103 |
| No log | 6.25 | 300 | 0.6141 | 0.7848 | 0.6141 | 0.7837 |
| No log | 6.2917 | 302 | 0.5524 | 0.8075 | 0.5524 | 0.7433 |
| No log | 6.3333 | 304 | 0.5662 | 0.8 | 0.5662 | 0.7524 |
| No log | 6.375 | 306 | 0.5703 | 0.8101 | 0.5703 | 0.7552 |
| No log | 6.4167 | 308 | 0.5969 | 0.8129 | 0.5969 | 0.7726 |
| No log | 6.4583 | 310 | 0.6885 | 0.7643 | 0.6885 | 0.8297 |
| No log | 6.5 | 312 | 0.7873 | 0.7 | 0.7873 | 0.8873 |
| No log | 6.5417 | 314 | 0.7569 | 0.7143 | 0.7569 | 0.8700 |
| No log | 6.5833 | 316 | 0.6582 | 0.7922 | 0.6582 | 0.8113 |
| No log | 6.625 | 318 | 0.6458 | 0.7922 | 0.6458 | 0.8036 |
| No log | 6.6667 | 320 | 0.6435 | 0.8052 | 0.6435 | 0.8022 |
| No log | 6.7083 | 322 | 0.6574 | 0.7550 | 0.6574 | 0.8108 |
| No log | 6.75 | 324 | 0.6582 | 0.7613 | 0.6582 | 0.8113 |
| No log | 6.7917 | 326 | 0.6206 | 0.7925 | 0.6206 | 0.7878 |
| No log | 6.8333 | 328 | 0.5981 | 0.8 | 0.5981 | 0.7733 |
| No log | 6.875 | 330 | 0.5719 | 0.8 | 0.5719 | 0.7562 |
| No log | 6.9167 | 332 | 0.5386 | 0.8228 | 0.5386 | 0.7339 |
| No log | 6.9583 | 334 | 0.5329 | 0.8228 | 0.5329 | 0.7300 |
| No log | 7.0 | 336 | 0.5956 | 0.8121 | 0.5956 | 0.7718 |
| No log | 7.0417 | 338 | 0.6806 | 0.7904 | 0.6806 | 0.8250 |
| No log | 7.0833 | 340 | 0.6994 | 0.7927 | 0.6994 | 0.8363 |
| No log | 7.125 | 342 | 0.5990 | 0.7848 | 0.5990 | 0.7739 |
| No log | 7.1667 | 344 | 0.5902 | 0.7632 | 0.5902 | 0.7682 |
| No log | 7.2083 | 346 | 0.6015 | 0.7550 | 0.6015 | 0.7756 |
| No log | 7.25 | 348 | 0.7048 | 0.7547 | 0.7048 | 0.8395 |
| No log | 7.2917 | 350 | 0.7527 | 0.7089 | 0.7527 | 0.8676 |
| No log | 7.3333 | 352 | 0.6495 | 0.7643 | 0.6495 | 0.8059 |
| No log | 7.375 | 354 | 0.5539 | 0.7632 | 0.5539 | 0.7442 |
| No log | 7.4167 | 356 | 0.5564 | 0.8 | 0.5564 | 0.7459 |
| No log | 7.4583 | 358 | 0.6071 | 0.7397 | 0.6071 | 0.7792 |
| No log | 7.5 | 360 | 0.5991 | 0.7724 | 0.5991 | 0.7740 |
| No log | 7.5417 | 362 | 0.6012 | 0.7550 | 0.6012 | 0.7753 |
| No log | 7.5833 | 364 | 0.6680 | 0.7333 | 0.6680 | 0.8173 |
| No log | 7.625 | 366 | 0.7116 | 0.6901 | 0.7116 | 0.8436 |
| No log | 7.6667 | 368 | 0.6897 | 0.7286 | 0.6897 | 0.8305 |
| No log | 7.7083 | 370 | 0.7449 | 0.7368 | 0.7449 | 0.8631 |
| No log | 7.75 | 372 | 0.7624 | 0.6815 | 0.7624 | 0.8732 |
| No log | 7.7917 | 374 | 0.6968 | 0.7234 | 0.6968 | 0.8347 |
| No log | 7.8333 | 376 | 0.5967 | 0.7724 | 0.5967 | 0.7725 |
| No log | 7.875 | 378 | 0.6069 | 0.7925 | 0.6069 | 0.7791 |
| No log | 7.9167 | 380 | 0.6031 | 0.8 | 0.6031 | 0.7766 |
| No log | 7.9583 | 382 | 0.5995 | 0.7857 | 0.5995 | 0.7742 |
| No log | 8.0 | 384 | 0.5815 | 0.8 | 0.5815 | 0.7626 |
| No log | 8.0417 | 386 | 0.5594 | 0.7922 | 0.5594 | 0.7479 |
| No log | 8.0833 | 388 | 0.5766 | 0.7919 | 0.5766 | 0.7594 |
| No log | 8.125 | 390 | 0.5942 | 0.8052 | 0.5942 | 0.7709 |
| No log | 8.1667 | 392 | 0.6121 | 0.8 | 0.6121 | 0.7823 |
| No log | 8.2083 | 394 | 0.6855 | 0.7205 | 0.6855 | 0.8279 |
| No log | 8.25 | 396 | 0.7798 | 0.6538 | 0.7798 | 0.8831 |
| No log | 8.2917 | 398 | 0.7664 | 0.6709 | 0.7664 | 0.8755 |
| No log | 8.3333 | 400 | 0.6932 | 0.7468 | 0.6932 | 0.8326 |
| No log | 8.375 | 402 | 0.6373 | 0.7568 | 0.6373 | 0.7983 |
| No log | 8.4167 | 404 | 0.6316 | 0.7671 | 0.6316 | 0.7947 |
| No log | 8.4583 | 406 | 0.6239 | 0.7785 | 0.6239 | 0.7899 |
| No log | 8.5 | 408 | 0.5941 | 0.7867 | 0.5941 | 0.7707 |
| No log | 8.5417 | 410 | 0.6319 | 0.7651 | 0.6319 | 0.7949 |
| No log | 8.5833 | 412 | 0.6466 | 0.7733 | 0.6466 | 0.8041 |
| No log | 8.625 | 414 | 0.6321 | 0.7733 | 0.6321 | 0.7951 |
| No log | 8.6667 | 416 | 0.6374 | 0.7733 | 0.6374 | 0.7984 |
| No log | 8.7083 | 418 | 0.7144 | 0.7027 | 0.7144 | 0.8452 |
| No log | 8.75 | 420 | 0.8403 | 0.7013 | 0.8403 | 0.9167 |
| No log | 8.7917 | 422 | 1.0090 | 0.6706 | 1.0090 | 1.0045 |
| No log | 8.8333 | 424 | 0.9416 | 0.6897 | 0.9416 | 0.9703 |
| No log | 8.875 | 426 | 0.7600 | 0.7416 | 0.7600 | 0.8718 |
| No log | 8.9167 | 428 | 0.6803 | 0.7529 | 0.6803 | 0.8248 |
| No log | 8.9583 | 430 | 0.7161 | 0.7630 | 0.7161 | 0.8462 |
| No log | 9.0 | 432 | 0.7183 | 0.7558 | 0.7183 | 0.8476 |
| No log | 9.0417 | 434 | 0.6717 | 0.7927 | 0.6717 | 0.8196 |
| No log | 9.0833 | 436 | 0.6114 | 0.7742 | 0.6114 | 0.7819 |
| No log | 9.125 | 438 | 0.6077 | 0.7724 | 0.6077 | 0.7796 |
| No log | 9.1667 | 440 | 0.6169 | 0.7724 | 0.6169 | 0.7854 |
| No log | 9.2083 | 442 | 0.6333 | 0.7785 | 0.6333 | 0.7958 |
| No log | 9.25 | 444 | 0.6640 | 0.7517 | 0.6640 | 0.8149 |
| No log | 9.2917 | 446 | 0.7057 | 0.7368 | 0.7057 | 0.8401 |
| No log | 9.3333 | 448 | 0.7073 | 0.7368 | 0.7073 | 0.8410 |
| No log | 9.375 | 450 | 0.6759 | 0.7248 | 0.6759 | 0.8221 |
| No log | 9.4167 | 452 | 0.6883 | 0.7075 | 0.6883 | 0.8296 |
| No log | 9.4583 | 454 | 0.6666 | 0.7532 | 0.6666 | 0.8164 |
| No log | 9.5 | 456 | 0.6502 | 0.7516 | 0.6502 | 0.8064 |
| No log | 9.5417 | 458 | 0.6882 | 0.7730 | 0.6882 | 0.8296 |
| No log | 9.5833 | 460 | 0.6298 | 0.7613 | 0.6298 | 0.7936 |
| No log | 9.625 | 462 | 0.5833 | 0.7763 | 0.5833 | 0.7637 |
| No log | 9.6667 | 464 | 0.5952 | 0.8054 | 0.5952 | 0.7715 |
| No log | 9.7083 | 466 | 0.6265 | 0.7324 | 0.6265 | 0.7915 |
| No log | 9.75 | 468 | 0.6769 | 0.7143 | 0.6769 | 0.8227 |
| No log | 9.7917 | 470 | 0.6961 | 0.6950 | 0.6961 | 0.8343 |
| No log | 9.8333 | 472 | 0.6641 | 0.7310 | 0.6641 | 0.8149 |
| No log | 9.875 | 474 | 0.6349 | 0.7483 | 0.6349 | 0.7968 |
| No log | 9.9167 | 476 | 0.6300 | 0.7333 | 0.6300 | 0.7937 |
| No log | 9.9583 | 478 | 0.6305 | 0.7974 | 0.6305 | 0.7940 |
| No log | 10.0 | 480 | 0.6474 | 0.7763 | 0.6474 | 0.8046 |
| No log | 10.0417 | 482 | 0.7616 | 0.6974 | 0.7616 | 0.8727 |
| No log | 10.0833 | 484 | 0.9025 | 0.6667 | 0.9025 | 0.9500 |
| No log | 10.125 | 486 | 0.9375 | 0.6531 | 0.9375 | 0.9682 |
| No log | 10.1667 | 488 | 0.7865 | 0.6712 | 0.7865 | 0.8869 |
| No log | 10.2083 | 490 | 0.6339 | 0.7517 | 0.6339 | 0.7962 |
| No log | 10.25 | 492 | 0.5802 | 0.7534 | 0.5802 | 0.7617 |
| No log | 10.2917 | 494 | 0.5836 | 0.7582 | 0.5836 | 0.7640 |
| No log | 10.3333 | 496 | 0.5573 | 0.7898 | 0.5573 | 0.7465 |
| No log | 10.375 | 498 | 0.5619 | 0.7925 | 0.5619 | 0.7496 |
| 0.3732 | 10.4167 | 500 | 0.6174 | 0.7901 | 0.6174 | 0.7858 |
| 0.3732 | 10.4583 | 502 | 0.6244 | 0.7692 | 0.6244 | 0.7902 |
| 0.3732 | 10.5 | 504 | 0.6114 | 0.7564 | 0.6114 | 0.7819 |
| 0.3732 | 10.5417 | 506 | 0.6451 | 0.7297 | 0.6451 | 0.8032 |
| 0.3732 | 10.5833 | 508 | 0.6527 | 0.7338 | 0.6527 | 0.8079 |
| 0.3732 | 10.625 | 510 | 0.6465 | 0.7286 | 0.6465 | 0.8041 |
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_run3_AugV5_k10_task1_organization
Base model
aubmindlab/bert-base-arabertv02