Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_task7_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_task7_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_task7_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_task7_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_task7_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k19_task7_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: 0.6654
- Qwk: 0.4684
- Mse: 0.6654
- Rmse: 0.8157
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 | 2.5798 | -0.0262 | 2.5798 | 1.6062 |
| No log | 0.0833 | 4 | 1.3015 | 0.0257 | 1.3015 | 1.1408 |
| No log | 0.125 | 6 | 0.9846 | 0.0952 | 0.9846 | 0.9922 |
| No log | 0.1667 | 8 | 0.9859 | -0.0622 | 0.9859 | 0.9929 |
| No log | 0.2083 | 10 | 1.0198 | 0.1010 | 1.0198 | 1.0098 |
| No log | 0.25 | 12 | 1.0319 | 0.1573 | 1.0319 | 1.0158 |
| No log | 0.2917 | 14 | 0.8183 | 0.2604 | 0.8183 | 0.9046 |
| No log | 0.3333 | 16 | 0.7493 | 0.1604 | 0.7493 | 0.8656 |
| No log | 0.375 | 18 | 0.7263 | 0.1604 | 0.7263 | 0.8522 |
| No log | 0.4167 | 20 | 0.7026 | 0.2713 | 0.7026 | 0.8382 |
| No log | 0.4583 | 22 | 0.6832 | 0.2374 | 0.6832 | 0.8265 |
| No log | 0.5 | 24 | 0.6945 | 0.1272 | 0.6945 | 0.8333 |
| No log | 0.5417 | 26 | 0.6746 | 0.1282 | 0.6746 | 0.8214 |
| No log | 0.5833 | 28 | 0.6806 | 0.1282 | 0.6806 | 0.8250 |
| No log | 0.625 | 30 | 0.7425 | 0.1358 | 0.7425 | 0.8617 |
| No log | 0.6667 | 32 | 0.8876 | 0.3051 | 0.8876 | 0.9421 |
| No log | 0.7083 | 34 | 0.9346 | 0.2908 | 0.9346 | 0.9667 |
| No log | 0.75 | 36 | 0.8546 | 0.2109 | 0.8546 | 0.9244 |
| No log | 0.7917 | 38 | 0.7977 | 0.0 | 0.7977 | 0.8931 |
| No log | 0.8333 | 40 | 0.7529 | 0.0 | 0.7529 | 0.8677 |
| No log | 0.875 | 42 | 0.7419 | 0.0840 | 0.7419 | 0.8614 |
| No log | 0.9167 | 44 | 0.7544 | 0.1236 | 0.7544 | 0.8686 |
| No log | 0.9583 | 46 | 0.7678 | 0.1617 | 0.7678 | 0.8763 |
| No log | 1.0 | 48 | 0.7639 | 0.1617 | 0.7639 | 0.8740 |
| No log | 1.0417 | 50 | 0.7656 | 0.1617 | 0.7656 | 0.8750 |
| No log | 1.0833 | 52 | 0.7988 | 0.1648 | 0.7988 | 0.8937 |
| No log | 1.125 | 54 | 0.9725 | 0.2939 | 0.9725 | 0.9861 |
| No log | 1.1667 | 56 | 0.8658 | 0.3231 | 0.8658 | 0.9305 |
| No log | 1.2083 | 58 | 0.6718 | 0.2145 | 0.6718 | 0.8197 |
| No log | 1.25 | 60 | 0.6418 | 0.2405 | 0.6418 | 0.8011 |
| No log | 1.2917 | 62 | 0.6544 | 0.3151 | 0.6544 | 0.8089 |
| No log | 1.3333 | 64 | 0.5926 | 0.2923 | 0.5926 | 0.7698 |
| No log | 1.375 | 66 | 0.5840 | 0.3502 | 0.5840 | 0.7642 |
| No log | 1.4167 | 68 | 0.5950 | 0.4526 | 0.5950 | 0.7714 |
| No log | 1.4583 | 70 | 0.6134 | 0.4294 | 0.6134 | 0.7832 |
| No log | 1.5 | 72 | 0.6334 | 0.4850 | 0.6334 | 0.7959 |
| No log | 1.5417 | 74 | 0.6144 | 0.4294 | 0.6144 | 0.7838 |
| No log | 1.5833 | 76 | 0.6195 | 0.5142 | 0.6195 | 0.7871 |
| No log | 1.625 | 78 | 0.7888 | 0.3567 | 0.7888 | 0.8881 |
| No log | 1.6667 | 80 | 0.8590 | 0.3095 | 0.8590 | 0.9268 |
| No log | 1.7083 | 82 | 0.6895 | 0.4516 | 0.6895 | 0.8304 |
| No log | 1.75 | 84 | 0.6865 | 0.3953 | 0.6865 | 0.8286 |
| No log | 1.7917 | 86 | 0.6918 | 0.3706 | 0.6918 | 0.8317 |
| No log | 1.8333 | 88 | 0.6630 | 0.3656 | 0.6630 | 0.8142 |
| No log | 1.875 | 90 | 0.7336 | 0.3840 | 0.7336 | 0.8565 |
| No log | 1.9167 | 92 | 0.6924 | 0.3296 | 0.6924 | 0.8321 |
| No log | 1.9583 | 94 | 0.6084 | 0.2923 | 0.6084 | 0.7800 |
| No log | 2.0 | 96 | 0.6327 | 0.3563 | 0.6327 | 0.7954 |
| No log | 2.0417 | 98 | 0.7051 | 0.3522 | 0.7051 | 0.8397 |
| No log | 2.0833 | 100 | 0.6547 | 0.4083 | 0.6547 | 0.8091 |
| No log | 2.125 | 102 | 0.6031 | 0.2783 | 0.6031 | 0.7766 |
| No log | 2.1667 | 104 | 0.7853 | 0.3319 | 0.7853 | 0.8861 |
| No log | 2.2083 | 106 | 0.8405 | 0.3562 | 0.8405 | 0.9168 |
| No log | 2.25 | 108 | 0.6887 | 0.3840 | 0.6887 | 0.8299 |
| No log | 2.2917 | 110 | 0.6108 | 0.4074 | 0.6108 | 0.7815 |
| No log | 2.3333 | 112 | 0.5918 | 0.3859 | 0.5918 | 0.7693 |
| No log | 2.375 | 114 | 0.5867 | 0.3478 | 0.5867 | 0.7660 |
| No log | 2.4167 | 116 | 0.6434 | 0.4597 | 0.6434 | 0.8021 |
| No log | 2.4583 | 118 | 0.6364 | 0.4835 | 0.6364 | 0.7978 |
| No log | 2.5 | 120 | 0.5780 | 0.4684 | 0.5780 | 0.7602 |
| No log | 2.5417 | 122 | 0.5992 | 0.4782 | 0.5992 | 0.7741 |
| No log | 2.5833 | 124 | 0.5554 | 0.4455 | 0.5554 | 0.7452 |
| No log | 2.625 | 126 | 0.5550 | 0.4681 | 0.5550 | 0.7450 |
| No log | 2.6667 | 128 | 0.7090 | 0.5215 | 0.7090 | 0.8420 |
| No log | 2.7083 | 130 | 0.9971 | 0.3798 | 0.9971 | 0.9985 |
| No log | 2.75 | 132 | 0.7941 | 0.4366 | 0.7941 | 0.8911 |
| No log | 2.7917 | 134 | 0.5935 | 0.4212 | 0.5935 | 0.7704 |
| No log | 2.8333 | 136 | 0.6088 | 0.4051 | 0.6088 | 0.7803 |
| No log | 2.875 | 138 | 0.6472 | 0.4466 | 0.6472 | 0.8045 |
| No log | 2.9167 | 140 | 0.6425 | 0.3517 | 0.6425 | 0.8016 |
| No log | 2.9583 | 142 | 0.6223 | 0.4434 | 0.6223 | 0.7889 |
| No log | 3.0 | 144 | 0.8063 | 0.3909 | 0.8063 | 0.8979 |
| No log | 3.0417 | 146 | 0.7331 | 0.4444 | 0.7331 | 0.8562 |
| No log | 3.0833 | 148 | 0.5918 | 0.4555 | 0.5918 | 0.7693 |
| No log | 3.125 | 150 | 0.6318 | 0.3069 | 0.6318 | 0.7949 |
| No log | 3.1667 | 152 | 0.6056 | 0.3373 | 0.6056 | 0.7782 |
| No log | 3.2083 | 154 | 0.5700 | 0.4661 | 0.5700 | 0.7550 |
| No log | 3.25 | 156 | 0.5774 | 0.4473 | 0.5774 | 0.7599 |
| No log | 3.2917 | 158 | 0.5859 | 0.4352 | 0.5859 | 0.7655 |
| No log | 3.3333 | 160 | 0.5824 | 0.2852 | 0.5824 | 0.7632 |
| No log | 3.375 | 162 | 0.5748 | 0.3474 | 0.5748 | 0.7582 |
| No log | 3.4167 | 164 | 0.5622 | 0.3728 | 0.5622 | 0.7498 |
| No log | 3.4583 | 166 | 0.5713 | 0.3738 | 0.5713 | 0.7559 |
| No log | 3.5 | 168 | 0.6101 | 0.4222 | 0.6101 | 0.7811 |
| No log | 3.5417 | 170 | 0.5915 | 0.4516 | 0.5915 | 0.7691 |
| No log | 3.5833 | 172 | 0.5867 | 0.5319 | 0.5867 | 0.7660 |
| No log | 3.625 | 174 | 0.5604 | 0.5286 | 0.5604 | 0.7486 |
| No log | 3.6667 | 176 | 0.5486 | 0.5682 | 0.5486 | 0.7407 |
| No log | 3.7083 | 178 | 0.5317 | 0.5951 | 0.5317 | 0.7292 |
| No log | 3.75 | 180 | 0.5337 | 0.4904 | 0.5337 | 0.7306 |
| No log | 3.7917 | 182 | 0.6123 | 0.4395 | 0.6123 | 0.7825 |
| No log | 3.8333 | 184 | 0.6644 | 0.4341 | 0.6644 | 0.8151 |
| No log | 3.875 | 186 | 0.7125 | 0.4380 | 0.7125 | 0.8441 |
| No log | 3.9167 | 188 | 0.6299 | 0.4967 | 0.6299 | 0.7937 |
| No log | 3.9583 | 190 | 0.5566 | 0.5234 | 0.5566 | 0.7460 |
| No log | 4.0 | 192 | 0.5494 | 0.5084 | 0.5494 | 0.7412 |
| No log | 4.0417 | 194 | 0.5495 | 0.4757 | 0.5495 | 0.7413 |
| No log | 4.0833 | 196 | 0.5603 | 0.5009 | 0.5603 | 0.7486 |
| No log | 4.125 | 198 | 0.5534 | 0.5009 | 0.5534 | 0.7439 |
| No log | 4.1667 | 200 | 0.5450 | 0.4343 | 0.5450 | 0.7382 |
| No log | 4.2083 | 202 | 0.5528 | 0.4149 | 0.5528 | 0.7435 |
| No log | 4.25 | 204 | 0.5949 | 0.4732 | 0.5949 | 0.7713 |
| No log | 4.2917 | 206 | 0.5468 | 0.5587 | 0.5468 | 0.7394 |
| No log | 4.3333 | 208 | 0.5256 | 0.5009 | 0.5256 | 0.7250 |
| No log | 4.375 | 210 | 0.5152 | 0.5039 | 0.5152 | 0.7178 |
| No log | 4.4167 | 212 | 0.5099 | 0.4973 | 0.5099 | 0.7141 |
| No log | 4.4583 | 214 | 0.5377 | 0.5779 | 0.5377 | 0.7333 |
| No log | 4.5 | 216 | 0.5733 | 0.5922 | 0.5733 | 0.7571 |
| No log | 4.5417 | 218 | 0.6127 | 0.5664 | 0.6127 | 0.7828 |
| No log | 4.5833 | 220 | 0.5551 | 0.5584 | 0.5551 | 0.7450 |
| No log | 4.625 | 222 | 0.5123 | 0.5533 | 0.5123 | 0.7158 |
| No log | 4.6667 | 224 | 0.5587 | 0.6070 | 0.5587 | 0.7475 |
| No log | 4.7083 | 226 | 0.6041 | 0.5673 | 0.6041 | 0.7772 |
| No log | 4.75 | 228 | 0.5458 | 0.6070 | 0.5458 | 0.7388 |
| No log | 4.7917 | 230 | 0.5237 | 0.5009 | 0.5237 | 0.7237 |
| No log | 4.8333 | 232 | 0.5211 | 0.4776 | 0.5211 | 0.7219 |
| No log | 4.875 | 234 | 0.5223 | 0.4329 | 0.5223 | 0.7227 |
| No log | 4.9167 | 236 | 0.5157 | 0.4114 | 0.5157 | 0.7181 |
| No log | 4.9583 | 238 | 0.5332 | 0.4642 | 0.5332 | 0.7302 |
| No log | 5.0 | 240 | 0.5180 | 0.5003 | 0.5180 | 0.7197 |
| No log | 5.0417 | 242 | 0.5120 | 0.4757 | 0.5120 | 0.7155 |
| No log | 5.0833 | 244 | 0.5108 | 0.5523 | 0.5108 | 0.7147 |
| No log | 5.125 | 246 | 0.5241 | 0.5483 | 0.5241 | 0.7239 |
| No log | 5.1667 | 248 | 0.5030 | 0.4876 | 0.5030 | 0.7092 |
| No log | 5.2083 | 250 | 0.5487 | 0.5166 | 0.5487 | 0.7408 |
| No log | 5.25 | 252 | 0.6370 | 0.4606 | 0.6370 | 0.7981 |
| No log | 5.2917 | 254 | 0.5567 | 0.4948 | 0.5567 | 0.7461 |
| No log | 5.3333 | 256 | 0.5267 | 0.3806 | 0.5267 | 0.7257 |
| No log | 5.375 | 258 | 0.6781 | 0.4015 | 0.6781 | 0.8235 |
| No log | 5.4167 | 260 | 0.6956 | 0.3777 | 0.6956 | 0.8340 |
| No log | 5.4583 | 262 | 0.5727 | 0.3730 | 0.5727 | 0.7568 |
| No log | 5.5 | 264 | 0.5179 | 0.4747 | 0.5179 | 0.7197 |
| No log | 5.5417 | 266 | 0.5372 | 0.4808 | 0.5372 | 0.7330 |
| No log | 5.5833 | 268 | 0.5093 | 0.4660 | 0.5093 | 0.7137 |
| No log | 5.625 | 270 | 0.5021 | 0.5125 | 0.5021 | 0.7086 |
| No log | 5.6667 | 272 | 0.5995 | 0.4842 | 0.5995 | 0.7743 |
| No log | 5.7083 | 274 | 0.6393 | 0.4783 | 0.6393 | 0.7996 |
| No log | 5.75 | 276 | 0.5677 | 0.4789 | 0.5677 | 0.7535 |
| No log | 5.7917 | 278 | 0.5294 | 0.5177 | 0.5294 | 0.7276 |
| No log | 5.8333 | 280 | 0.6097 | 0.4721 | 0.6097 | 0.7809 |
| No log | 5.875 | 282 | 0.6235 | 0.4721 | 0.6235 | 0.7896 |
| No log | 5.9167 | 284 | 0.5612 | 0.4337 | 0.5612 | 0.7491 |
| No log | 5.9583 | 286 | 0.5618 | 0.4504 | 0.5618 | 0.7496 |
| No log | 6.0 | 288 | 0.5679 | 0.3651 | 0.5679 | 0.7536 |
| No log | 6.0417 | 290 | 0.5740 | 0.3651 | 0.5740 | 0.7577 |
| No log | 6.0833 | 292 | 0.6299 | 0.4292 | 0.6299 | 0.7937 |
| No log | 6.125 | 294 | 0.7268 | 0.4387 | 0.7268 | 0.8525 |
| No log | 6.1667 | 296 | 0.7152 | 0.4224 | 0.7152 | 0.8457 |
| No log | 6.2083 | 298 | 0.6405 | 0.4292 | 0.6405 | 0.8003 |
| No log | 6.25 | 300 | 0.5940 | 0.4229 | 0.5940 | 0.7707 |
| No log | 6.2917 | 302 | 0.5859 | 0.4229 | 0.5859 | 0.7655 |
| No log | 6.3333 | 304 | 0.6039 | 0.4314 | 0.6039 | 0.7771 |
| No log | 6.375 | 306 | 0.6291 | 0.4044 | 0.6291 | 0.7932 |
| No log | 6.4167 | 308 | 0.6596 | 0.4292 | 0.6596 | 0.8122 |
| No log | 6.4583 | 310 | 0.6245 | 0.4397 | 0.6245 | 0.7902 |
| No log | 6.5 | 312 | 0.6103 | 0.3702 | 0.6103 | 0.7812 |
| No log | 6.5417 | 314 | 0.5946 | 0.3995 | 0.5946 | 0.7711 |
| No log | 6.5833 | 316 | 0.6490 | 0.4704 | 0.6490 | 0.8056 |
| No log | 6.625 | 318 | 0.7105 | 0.4239 | 0.7105 | 0.8429 |
| No log | 6.6667 | 320 | 0.7130 | 0.4408 | 0.7130 | 0.8444 |
| No log | 6.7083 | 322 | 0.6687 | 0.4704 | 0.6687 | 0.8177 |
| No log | 6.75 | 324 | 0.6610 | 0.4704 | 0.6610 | 0.8130 |
| No log | 6.7917 | 326 | 0.6092 | 0.3864 | 0.6092 | 0.7805 |
| No log | 6.8333 | 328 | 0.5842 | 0.3937 | 0.5842 | 0.7643 |
| No log | 6.875 | 330 | 0.5741 | 0.3837 | 0.5741 | 0.7577 |
| No log | 6.9167 | 332 | 0.5773 | 0.3890 | 0.5773 | 0.7598 |
| No log | 6.9583 | 334 | 0.5708 | 0.3890 | 0.5708 | 0.7555 |
| No log | 7.0 | 336 | 0.5718 | 0.3890 | 0.5718 | 0.7561 |
| No log | 7.0417 | 338 | 0.5633 | 0.4253 | 0.5633 | 0.7505 |
| No log | 7.0833 | 340 | 0.5682 | 0.4590 | 0.5682 | 0.7538 |
| No log | 7.125 | 342 | 0.5650 | 0.3426 | 0.5650 | 0.7516 |
| No log | 7.1667 | 344 | 0.5814 | 0.3675 | 0.5814 | 0.7625 |
| No log | 7.2083 | 346 | 0.6257 | 0.3640 | 0.6257 | 0.7910 |
| No log | 7.25 | 348 | 0.6113 | 0.3640 | 0.6113 | 0.7818 |
| No log | 7.2917 | 350 | 0.5509 | 0.3970 | 0.5509 | 0.7423 |
| No log | 7.3333 | 352 | 0.5406 | 0.5143 | 0.5406 | 0.7352 |
| No log | 7.375 | 354 | 0.5391 | 0.4617 | 0.5391 | 0.7342 |
| No log | 7.4167 | 356 | 0.5600 | 0.4179 | 0.5600 | 0.7484 |
| No log | 7.4583 | 358 | 0.5497 | 0.4201 | 0.5497 | 0.7414 |
| No log | 7.5 | 360 | 0.5316 | 0.4555 | 0.5316 | 0.7291 |
| No log | 7.5417 | 362 | 0.5327 | 0.4555 | 0.5327 | 0.7298 |
| No log | 7.5833 | 364 | 0.5364 | 0.4493 | 0.5364 | 0.7324 |
| No log | 7.625 | 366 | 0.5485 | 0.4788 | 0.5485 | 0.7406 |
| No log | 7.6667 | 368 | 0.5192 | 0.4984 | 0.5192 | 0.7206 |
| No log | 7.7083 | 370 | 0.5140 | 0.4402 | 0.5140 | 0.7169 |
| No log | 7.75 | 372 | 0.5097 | 0.4657 | 0.5097 | 0.7140 |
| No log | 7.7917 | 374 | 0.5003 | 0.4885 | 0.5003 | 0.7073 |
| No log | 7.8333 | 376 | 0.4963 | 0.4719 | 0.4963 | 0.7045 |
| No log | 7.875 | 378 | 0.4934 | 0.5357 | 0.4934 | 0.7024 |
| No log | 7.9167 | 380 | 0.5041 | 0.5812 | 0.5041 | 0.7100 |
| No log | 7.9583 | 382 | 0.5097 | 0.5538 | 0.5097 | 0.7140 |
| No log | 8.0 | 384 | 0.5473 | 0.5607 | 0.5473 | 0.7398 |
| No log | 8.0417 | 386 | 0.5306 | 0.5678 | 0.5306 | 0.7284 |
| No log | 8.0833 | 388 | 0.5166 | 0.5619 | 0.5166 | 0.7187 |
| No log | 8.125 | 390 | 0.6788 | 0.5569 | 0.6788 | 0.8239 |
| No log | 8.1667 | 392 | 0.7580 | 0.4784 | 0.7580 | 0.8706 |
| No log | 8.2083 | 394 | 0.6782 | 0.5418 | 0.6782 | 0.8235 |
| No log | 8.25 | 396 | 0.5613 | 0.4179 | 0.5613 | 0.7492 |
| No log | 8.2917 | 398 | 0.5096 | 0.4742 | 0.5096 | 0.7139 |
| No log | 8.3333 | 400 | 0.5094 | 0.5231 | 0.5094 | 0.7137 |
| No log | 8.375 | 402 | 0.5161 | 0.4617 | 0.5161 | 0.7184 |
| No log | 8.4167 | 404 | 0.5800 | 0.5016 | 0.5800 | 0.7616 |
| No log | 8.4583 | 406 | 0.6008 | 0.5237 | 0.6008 | 0.7751 |
| No log | 8.5 | 408 | 0.5472 | 0.4576 | 0.5472 | 0.7397 |
| No log | 8.5417 | 410 | 0.5102 | 0.4953 | 0.5102 | 0.7143 |
| No log | 8.5833 | 412 | 0.5030 | 0.5286 | 0.5030 | 0.7092 |
| No log | 8.625 | 414 | 0.5034 | 0.4953 | 0.5034 | 0.7095 |
| No log | 8.6667 | 416 | 0.5060 | 0.4953 | 0.5060 | 0.7113 |
| No log | 8.7083 | 418 | 0.5126 | 0.4953 | 0.5126 | 0.7160 |
| No log | 8.75 | 420 | 0.5451 | 0.4847 | 0.5451 | 0.7383 |
| No log | 8.7917 | 422 | 0.5872 | 0.4660 | 0.5872 | 0.7663 |
| No log | 8.8333 | 424 | 0.5975 | 0.4179 | 0.5975 | 0.7730 |
| No log | 8.875 | 426 | 0.5760 | 0.4257 | 0.5760 | 0.7589 |
| No log | 8.9167 | 428 | 0.5370 | 0.4441 | 0.5370 | 0.7328 |
| No log | 8.9583 | 430 | 0.5172 | 0.4953 | 0.5172 | 0.7191 |
| No log | 9.0 | 432 | 0.5205 | 0.5195 | 0.5205 | 0.7215 |
| No log | 9.0417 | 434 | 0.5237 | 0.5672 | 0.5237 | 0.7237 |
| No log | 9.0833 | 436 | 0.5273 | 0.5656 | 0.5273 | 0.7262 |
| No log | 9.125 | 438 | 0.5755 | 0.3931 | 0.5755 | 0.7586 |
| No log | 9.1667 | 440 | 0.6843 | 0.5354 | 0.6843 | 0.8272 |
| No log | 9.2083 | 442 | 0.7021 | 0.5107 | 0.7021 | 0.8379 |
| No log | 9.25 | 444 | 0.6373 | 0.3914 | 0.6373 | 0.7983 |
| No log | 9.2917 | 446 | 0.6166 | 0.3914 | 0.6166 | 0.7853 |
| No log | 9.3333 | 448 | 0.6290 | 0.3640 | 0.6290 | 0.7931 |
| No log | 9.375 | 450 | 0.6524 | 0.4371 | 0.6524 | 0.8077 |
| No log | 9.4167 | 452 | 0.6414 | 0.3700 | 0.6414 | 0.8009 |
| No log | 9.4583 | 454 | 0.6675 | 0.4550 | 0.6675 | 0.8170 |
| No log | 9.5 | 456 | 0.7030 | 0.5040 | 0.7030 | 0.8384 |
| No log | 9.5417 | 458 | 0.6722 | 0.4302 | 0.6722 | 0.8198 |
| No log | 9.5833 | 460 | 0.6322 | 0.4227 | 0.6322 | 0.7951 |
| No log | 9.625 | 462 | 0.6022 | 0.4434 | 0.6022 | 0.7760 |
| No log | 9.6667 | 464 | 0.6088 | 0.4660 | 0.6088 | 0.7803 |
| No log | 9.7083 | 466 | 0.6141 | 0.4206 | 0.6141 | 0.7836 |
| No log | 9.75 | 468 | 0.5940 | 0.4504 | 0.5940 | 0.7707 |
| No log | 9.7917 | 470 | 0.6008 | 0.4747 | 0.6008 | 0.7751 |
| No log | 9.8333 | 472 | 0.5809 | 0.4463 | 0.5809 | 0.7622 |
| No log | 9.875 | 474 | 0.5610 | 0.3964 | 0.5610 | 0.7490 |
| No log | 9.9167 | 476 | 0.5598 | 0.4547 | 0.5598 | 0.7482 |
| No log | 9.9583 | 478 | 0.5643 | 0.4934 | 0.5643 | 0.7512 |
| No log | 10.0 | 480 | 0.5658 | 0.4847 | 0.5658 | 0.7522 |
| No log | 10.0417 | 482 | 0.5799 | 0.4455 | 0.5799 | 0.7615 |
| No log | 10.0833 | 484 | 0.6415 | 0.4642 | 0.6415 | 0.8009 |
| No log | 10.125 | 486 | 0.7279 | 0.5090 | 0.7279 | 0.8532 |
| No log | 10.1667 | 488 | 0.7043 | 0.5113 | 0.7043 | 0.8392 |
| No log | 10.2083 | 490 | 0.6157 | 0.4451 | 0.6157 | 0.7847 |
| No log | 10.25 | 492 | 0.5869 | 0.4103 | 0.5869 | 0.7661 |
| No log | 10.2917 | 494 | 0.6206 | 0.4393 | 0.6206 | 0.7878 |
| No log | 10.3333 | 496 | 0.6862 | 0.5113 | 0.6862 | 0.8284 |
| No log | 10.375 | 498 | 0.7175 | 0.4880 | 0.7175 | 0.8470 |
| 0.3225 | 10.4167 | 500 | 0.7183 | 0.4819 | 0.7183 | 0.8475 |
| 0.3225 | 10.4583 | 502 | 0.6559 | 0.4282 | 0.6559 | 0.8099 |
| 0.3225 | 10.5 | 504 | 0.5997 | 0.4377 | 0.5997 | 0.7744 |
| 0.3225 | 10.5417 | 506 | 0.5825 | 0.4455 | 0.5825 | 0.7632 |
| 0.3225 | 10.5833 | 508 | 0.6163 | 0.3914 | 0.6163 | 0.7850 |
| 0.3225 | 10.625 | 510 | 0.6654 | 0.4684 | 0.6654 | 0.8157 |
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_FineTuningAraBERT_run3_AugV5_k19_task7_organization
Base model
aubmindlab/bert-base-arabertv02