Instructions to use MayBashendy/ASAP_FineTuningBERT_Aug_k35_task1_organization_fold0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ASAP_FineTuningBERT_Aug_k35_task1_organization_fold0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ASAP_FineTuningBERT_Aug_k35_task1_organization_fold0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k35_task1_organization_fold0") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k35_task1_organization_fold0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ASAP_FineTuningBERT_Aug_k35_task1_organization_fold0
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5351
- Qwk: 0.5254
- Mse: 0.5351
- Rmse: 0.7315
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: 32
- eval_batch_size: 32
- 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 | 0.0038 | 2 | 9.7816 | 0.0 | 9.7816 | 3.1276 |
| No log | 0.0075 | 4 | 8.2519 | 0.0132 | 8.2519 | 2.8726 |
| No log | 0.0113 | 6 | 7.2520 | 0.0051 | 7.2520 | 2.6929 |
| No log | 0.0151 | 8 | 6.4845 | 0.0018 | 6.4845 | 2.5465 |
| No log | 0.0189 | 10 | 5.6501 | 0.0 | 5.6501 | 2.3770 |
| No log | 0.0226 | 12 | 4.8220 | 0.0 | 4.8220 | 2.1959 |
| No log | 0.0264 | 14 | 4.0232 | 0.0454 | 4.0232 | 2.0058 |
| No log | 0.0302 | 16 | 3.2367 | 0.0150 | 3.2367 | 1.7991 |
| No log | 0.0340 | 18 | 2.5450 | 0.0115 | 2.5450 | 1.5953 |
| No log | 0.0377 | 20 | 1.9899 | 0.0077 | 1.9899 | 1.4106 |
| No log | 0.0415 | 22 | 1.5286 | 0.0087 | 1.5286 | 1.2364 |
| No log | 0.0453 | 24 | 1.2087 | 0.0870 | 1.2087 | 1.0994 |
| No log | 0.0491 | 26 | 0.9887 | 0.0646 | 0.9887 | 0.9943 |
| No log | 0.0528 | 28 | 0.8246 | 0.0316 | 0.8246 | 0.9081 |
| No log | 0.0566 | 30 | 0.8164 | 0.0316 | 0.8164 | 0.9036 |
| No log | 0.0604 | 32 | 0.8047 | 0.0212 | 0.8047 | 0.8971 |
| No log | 0.0642 | 34 | 0.7954 | 0.0212 | 0.7954 | 0.8919 |
| No log | 0.0679 | 36 | 0.8377 | 0.0106 | 0.8377 | 0.9152 |
| No log | 0.0717 | 38 | 0.7772 | 0.0106 | 0.7772 | 0.8816 |
| No log | 0.0755 | 40 | 0.7781 | 0.0076 | 0.7781 | 0.8821 |
| No log | 0.0792 | 42 | 0.7716 | 0.0316 | 0.7716 | 0.8784 |
| No log | 0.0830 | 44 | 0.7671 | 0.0316 | 0.7671 | 0.8759 |
| No log | 0.0868 | 46 | 0.7863 | 0.0316 | 0.7863 | 0.8867 |
| No log | 0.0906 | 48 | 0.7558 | 0.0316 | 0.7558 | 0.8694 |
| No log | 0.0943 | 50 | 0.7571 | 0.0106 | 0.7571 | 0.8701 |
| No log | 0.0981 | 52 | 0.8010 | 0.0316 | 0.8010 | 0.8950 |
| No log | 0.1019 | 54 | 0.8386 | 0.0316 | 0.8386 | 0.9158 |
| No log | 0.1057 | 56 | 0.7957 | 0.0106 | 0.7957 | 0.8920 |
| No log | 0.1094 | 58 | 0.8150 | 0.0106 | 0.8150 | 0.9028 |
| No log | 0.1132 | 60 | 0.8158 | 0.0106 | 0.8158 | 0.9032 |
| No log | 0.1170 | 62 | 0.8104 | 0.0106 | 0.8104 | 0.9002 |
| No log | 0.1208 | 64 | 0.8187 | 0.0 | 0.8187 | 0.9048 |
| No log | 0.1245 | 66 | 0.9072 | 0.0 | 0.9072 | 0.9525 |
| No log | 0.1283 | 68 | 0.8988 | 0.0 | 0.8988 | 0.9481 |
| No log | 0.1321 | 70 | 0.7943 | 0.0106 | 0.7943 | 0.8912 |
| No log | 0.1358 | 72 | 0.7862 | 0.0106 | 0.7862 | 0.8867 |
| No log | 0.1396 | 74 | 0.7809 | 0.0106 | 0.7809 | 0.8837 |
| No log | 0.1434 | 76 | 0.7612 | 0.0106 | 0.7612 | 0.8725 |
| No log | 0.1472 | 78 | 0.7625 | 0.0106 | 0.7625 | 0.8732 |
| No log | 0.1509 | 80 | 0.7665 | 0.0106 | 0.7665 | 0.8755 |
| No log | 0.1547 | 82 | 0.7845 | 0.0106 | 0.7845 | 0.8857 |
| No log | 0.1585 | 84 | 0.8464 | 0.0106 | 0.8464 | 0.9200 |
| No log | 0.1623 | 86 | 0.8892 | 0.0 | 0.8892 | 0.9430 |
| No log | 0.1660 | 88 | 0.8508 | 0.0 | 0.8508 | 0.9224 |
| No log | 0.1698 | 90 | 0.7709 | 0.0 | 0.7709 | 0.8780 |
| No log | 0.1736 | 92 | 0.7608 | 0.0 | 0.7608 | 0.8722 |
| No log | 0.1774 | 94 | 0.7666 | 0.0 | 0.7666 | 0.8756 |
| No log | 0.1811 | 96 | 0.7819 | 0.0 | 0.7819 | 0.8842 |
| No log | 0.1849 | 98 | 0.7780 | 0.0106 | 0.7780 | 0.8821 |
| No log | 0.1887 | 100 | 0.7442 | 0.0106 | 0.7442 | 0.8627 |
| No log | 0.1925 | 102 | 0.7480 | 0.0106 | 0.7480 | 0.8649 |
| No log | 0.1962 | 104 | 0.7258 | 0.0106 | 0.7258 | 0.8520 |
| No log | 0.2 | 106 | 0.7244 | 0.0106 | 0.7244 | 0.8511 |
| No log | 0.2038 | 108 | 0.7347 | 0.0 | 0.7347 | 0.8572 |
| No log | 0.2075 | 110 | 0.7476 | 0.0 | 0.7476 | 0.8647 |
| No log | 0.2113 | 112 | 0.7162 | 0.0400 | 0.7162 | 0.8463 |
| No log | 0.2151 | 114 | 0.7013 | 0.1190 | 0.7013 | 0.8375 |
| No log | 0.2189 | 116 | 0.7111 | 0.1140 | 0.7111 | 0.8433 |
| No log | 0.2226 | 118 | 0.7134 | 0.0272 | 0.7134 | 0.8446 |
| No log | 0.2264 | 120 | 0.7127 | 0.1445 | 0.7127 | 0.8442 |
| No log | 0.2302 | 122 | 0.7288 | 0.2521 | 0.7288 | 0.8537 |
| No log | 0.2340 | 124 | 0.7186 | 0.1185 | 0.7186 | 0.8477 |
| No log | 0.2377 | 126 | 0.7296 | 0.0161 | 0.7296 | 0.8542 |
| No log | 0.2415 | 128 | 0.7417 | 0.0106 | 0.7417 | 0.8612 |
| No log | 0.2453 | 130 | 0.7054 | 0.0527 | 0.7054 | 0.8399 |
| No log | 0.2491 | 132 | 0.7183 | 0.2470 | 0.7183 | 0.8475 |
| No log | 0.2528 | 134 | 0.7048 | 0.2178 | 0.7048 | 0.8395 |
| No log | 0.2566 | 136 | 0.7016 | 0.0973 | 0.7016 | 0.8376 |
| No log | 0.2604 | 138 | 0.7318 | 0.0 | 0.7318 | 0.8555 |
| No log | 0.2642 | 140 | 0.7041 | 0.0439 | 0.7041 | 0.8391 |
| No log | 0.2679 | 142 | 0.6936 | 0.2278 | 0.6936 | 0.8328 |
| No log | 0.2717 | 144 | 0.6985 | 0.1546 | 0.6985 | 0.8358 |
| No log | 0.2755 | 146 | 0.7032 | 0.0668 | 0.7032 | 0.8386 |
| No log | 0.2792 | 148 | 0.6623 | 0.1421 | 0.6623 | 0.8138 |
| No log | 0.2830 | 150 | 0.6608 | 0.0719 | 0.6608 | 0.8129 |
| No log | 0.2868 | 152 | 0.6581 | 0.0832 | 0.6581 | 0.8112 |
| No log | 0.2906 | 154 | 0.6415 | 0.0755 | 0.6415 | 0.8009 |
| No log | 0.2943 | 156 | 0.6582 | 0.0593 | 0.6582 | 0.8113 |
| No log | 0.2981 | 158 | 0.6471 | 0.2568 | 0.6471 | 0.8044 |
| No log | 0.3019 | 160 | 0.6477 | 0.2382 | 0.6477 | 0.8048 |
| No log | 0.3057 | 162 | 0.6576 | 0.2970 | 0.6576 | 0.8109 |
| No log | 0.3094 | 164 | 0.6648 | 0.3346 | 0.6648 | 0.8154 |
| No log | 0.3132 | 166 | 0.6346 | 0.2640 | 0.6346 | 0.7966 |
| No log | 0.3170 | 168 | 0.6191 | 0.2991 | 0.6191 | 0.7868 |
| No log | 0.3208 | 170 | 0.6079 | 0.2982 | 0.6079 | 0.7797 |
| No log | 0.3245 | 172 | 0.6261 | 0.1946 | 0.6261 | 0.7913 |
| No log | 0.3283 | 174 | 0.6028 | 0.3025 | 0.6028 | 0.7764 |
| No log | 0.3321 | 176 | 0.6200 | 0.3847 | 0.6200 | 0.7874 |
| No log | 0.3358 | 178 | 0.6544 | 0.3900 | 0.6544 | 0.8089 |
| No log | 0.3396 | 180 | 0.6403 | 0.3809 | 0.6403 | 0.8002 |
| No log | 0.3434 | 182 | 0.6049 | 0.3866 | 0.6049 | 0.7778 |
| No log | 0.3472 | 184 | 0.6059 | 0.4112 | 0.6059 | 0.7784 |
| No log | 0.3509 | 186 | 0.6274 | 0.4514 | 0.6274 | 0.7921 |
| No log | 0.3547 | 188 | 0.5838 | 0.2817 | 0.5838 | 0.7641 |
| No log | 0.3585 | 190 | 0.5916 | 0.2609 | 0.5916 | 0.7692 |
| No log | 0.3623 | 192 | 0.6141 | 0.4232 | 0.6141 | 0.7837 |
| No log | 0.3660 | 194 | 0.6117 | 0.3366 | 0.6117 | 0.7821 |
| No log | 0.3698 | 196 | 0.6159 | 0.3102 | 0.6159 | 0.7848 |
| No log | 0.3736 | 198 | 0.6221 | 0.3831 | 0.6221 | 0.7887 |
| No log | 0.3774 | 200 | 0.6208 | 0.3615 | 0.6208 | 0.7879 |
| No log | 0.3811 | 202 | 0.6163 | 0.1554 | 0.6163 | 0.7851 |
| No log | 0.3849 | 204 | 0.6693 | 0.0780 | 0.6693 | 0.8181 |
| No log | 0.3887 | 206 | 0.6294 | 0.1078 | 0.6294 | 0.7934 |
| No log | 0.3925 | 208 | 0.6480 | 0.3479 | 0.6480 | 0.8050 |
| No log | 0.3962 | 210 | 0.6549 | 0.1753 | 0.6549 | 0.8093 |
| No log | 0.4 | 212 | 0.6696 | 0.0672 | 0.6696 | 0.8183 |
| No log | 0.4038 | 214 | 0.6876 | 0.0636 | 0.6876 | 0.8292 |
| No log | 0.4075 | 216 | 0.5859 | 0.2068 | 0.5859 | 0.7655 |
| No log | 0.4113 | 218 | 0.5851 | 0.5004 | 0.5851 | 0.7649 |
| No log | 0.4151 | 220 | 0.6383 | 0.4698 | 0.6383 | 0.7989 |
| No log | 0.4189 | 222 | 0.6001 | 0.4792 | 0.6001 | 0.7747 |
| No log | 0.4226 | 224 | 0.6086 | 0.4408 | 0.6086 | 0.7801 |
| No log | 0.4264 | 226 | 0.6757 | 0.3149 | 0.6757 | 0.8220 |
| No log | 0.4302 | 228 | 0.6776 | 0.3428 | 0.6776 | 0.8231 |
| No log | 0.4340 | 230 | 0.6088 | 0.3396 | 0.6088 | 0.7802 |
| No log | 0.4377 | 232 | 0.5812 | 0.1958 | 0.5812 | 0.7624 |
| No log | 0.4415 | 234 | 0.5517 | 0.2853 | 0.5517 | 0.7428 |
| No log | 0.4453 | 236 | 0.5701 | 0.4736 | 0.5701 | 0.7551 |
| No log | 0.4491 | 238 | 0.5883 | 0.4782 | 0.5883 | 0.7670 |
| No log | 0.4528 | 240 | 0.5655 | 0.4345 | 0.5655 | 0.7520 |
| No log | 0.4566 | 242 | 0.5601 | 0.3447 | 0.5601 | 0.7484 |
| No log | 0.4604 | 244 | 0.5711 | 0.3661 | 0.5711 | 0.7557 |
| No log | 0.4642 | 246 | 0.6400 | 0.4351 | 0.6400 | 0.8000 |
| No log | 0.4679 | 248 | 0.6662 | 0.4235 | 0.6662 | 0.8162 |
| No log | 0.4717 | 250 | 0.5808 | 0.4254 | 0.5808 | 0.7621 |
| No log | 0.4755 | 252 | 0.5986 | 0.1430 | 0.5986 | 0.7737 |
| No log | 0.4792 | 254 | 0.6115 | 0.1383 | 0.6115 | 0.7820 |
| No log | 0.4830 | 256 | 0.5784 | 0.3234 | 0.5784 | 0.7605 |
| No log | 0.4868 | 258 | 0.6502 | 0.4552 | 0.6502 | 0.8064 |
| No log | 0.4906 | 260 | 0.6439 | 0.4363 | 0.6439 | 0.8024 |
| No log | 0.4943 | 262 | 0.5802 | 0.3938 | 0.5802 | 0.7617 |
| No log | 0.4981 | 264 | 0.5775 | 0.2271 | 0.5775 | 0.7599 |
| No log | 0.5019 | 266 | 0.5490 | 0.3062 | 0.5490 | 0.7410 |
| No log | 0.5057 | 268 | 0.5582 | 0.4382 | 0.5582 | 0.7472 |
| No log | 0.5094 | 270 | 0.6048 | 0.4604 | 0.6048 | 0.7777 |
| No log | 0.5132 | 272 | 0.6074 | 0.4468 | 0.6074 | 0.7794 |
| No log | 0.5170 | 274 | 0.6077 | 0.4164 | 0.6077 | 0.7796 |
| No log | 0.5208 | 276 | 0.6505 | 0.4149 | 0.6505 | 0.8065 |
| No log | 0.5245 | 278 | 0.7391 | 0.3987 | 0.7391 | 0.8597 |
| No log | 0.5283 | 280 | 0.7040 | 0.4114 | 0.7040 | 0.8390 |
| No log | 0.5321 | 282 | 0.5785 | 0.4146 | 0.5785 | 0.7606 |
| No log | 0.5358 | 284 | 0.5707 | 0.3619 | 0.5707 | 0.7554 |
| No log | 0.5396 | 286 | 0.6069 | 0.4529 | 0.6069 | 0.7790 |
| No log | 0.5434 | 288 | 0.6282 | 0.4509 | 0.6282 | 0.7926 |
| No log | 0.5472 | 290 | 0.6048 | 0.4388 | 0.6048 | 0.7777 |
| No log | 0.5509 | 292 | 0.6382 | 0.4369 | 0.6382 | 0.7989 |
| No log | 0.5547 | 294 | 0.5812 | 0.4592 | 0.5812 | 0.7623 |
| No log | 0.5585 | 296 | 0.5603 | 0.4592 | 0.5603 | 0.7485 |
| No log | 0.5623 | 298 | 0.5962 | 0.4747 | 0.5962 | 0.7721 |
| No log | 0.5660 | 300 | 0.7214 | 0.4146 | 0.7214 | 0.8493 |
| No log | 0.5698 | 302 | 0.5892 | 0.4903 | 0.5892 | 0.7676 |
| No log | 0.5736 | 304 | 0.5000 | 0.4316 | 0.5000 | 0.7071 |
| No log | 0.5774 | 306 | 0.5181 | 0.3521 | 0.5181 | 0.7198 |
| No log | 0.5811 | 308 | 0.5165 | 0.4362 | 0.5165 | 0.7187 |
| No log | 0.5849 | 310 | 0.5651 | 0.4756 | 0.5651 | 0.7517 |
| No log | 0.5887 | 312 | 0.6032 | 0.4645 | 0.6032 | 0.7767 |
| No log | 0.5925 | 314 | 0.5294 | 0.5065 | 0.5294 | 0.7276 |
| No log | 0.5962 | 316 | 0.4640 | 0.4911 | 0.4640 | 0.6812 |
| No log | 0.6 | 318 | 0.4561 | 0.5137 | 0.4561 | 0.6754 |
| No log | 0.6038 | 320 | 0.4372 | 0.5189 | 0.4372 | 0.6612 |
| No log | 0.6075 | 322 | 0.4688 | 0.4486 | 0.4688 | 0.6847 |
| No log | 0.6113 | 324 | 0.4415 | 0.4774 | 0.4415 | 0.6644 |
| No log | 0.6151 | 326 | 0.4630 | 0.5035 | 0.4630 | 0.6804 |
| No log | 0.6189 | 328 | 0.5129 | 0.5299 | 0.5129 | 0.7161 |
| No log | 0.6226 | 330 | 0.4757 | 0.4228 | 0.4757 | 0.6897 |
| No log | 0.6264 | 332 | 0.5425 | 0.2978 | 0.5425 | 0.7365 |
| No log | 0.6302 | 334 | 0.5023 | 0.3565 | 0.5023 | 0.7087 |
| No log | 0.6340 | 336 | 0.4928 | 0.4804 | 0.4928 | 0.7020 |
| No log | 0.6377 | 338 | 0.4822 | 0.4200 | 0.4822 | 0.6944 |
| No log | 0.6415 | 340 | 0.5244 | 0.3164 | 0.5244 | 0.7241 |
| No log | 0.6453 | 342 | 0.5332 | 0.3182 | 0.5332 | 0.7302 |
| No log | 0.6491 | 344 | 0.4630 | 0.4661 | 0.4630 | 0.6804 |
| No log | 0.6528 | 346 | 0.6684 | 0.4938 | 0.6684 | 0.8176 |
| No log | 0.6566 | 348 | 0.6222 | 0.4876 | 0.6222 | 0.7888 |
| No log | 0.6604 | 350 | 0.4752 | 0.4526 | 0.4752 | 0.6894 |
| No log | 0.6642 | 352 | 0.5346 | 0.2868 | 0.5346 | 0.7311 |
| No log | 0.6679 | 354 | 0.5254 | 0.2966 | 0.5254 | 0.7249 |
| No log | 0.6717 | 356 | 0.5218 | 0.4417 | 0.5218 | 0.7224 |
| No log | 0.6755 | 358 | 0.6092 | 0.4725 | 0.6092 | 0.7805 |
| No log | 0.6792 | 360 | 0.5896 | 0.4775 | 0.5896 | 0.7679 |
| No log | 0.6830 | 362 | 0.5416 | 0.4620 | 0.5416 | 0.7359 |
| No log | 0.6868 | 364 | 0.5346 | 0.4651 | 0.5346 | 0.7312 |
| No log | 0.6906 | 366 | 0.5107 | 0.4559 | 0.5107 | 0.7147 |
| No log | 0.6943 | 368 | 0.5107 | 0.4605 | 0.5107 | 0.7146 |
| No log | 0.6981 | 370 | 0.5162 | 0.4469 | 0.5162 | 0.7185 |
| No log | 0.7019 | 372 | 0.5587 | 0.5093 | 0.5587 | 0.7475 |
| No log | 0.7057 | 374 | 0.5444 | 0.4899 | 0.5444 | 0.7378 |
| No log | 0.7094 | 376 | 0.5045 | 0.3914 | 0.5045 | 0.7103 |
| No log | 0.7132 | 378 | 0.5101 | 0.3384 | 0.5101 | 0.7142 |
| No log | 0.7170 | 380 | 0.5095 | 0.3913 | 0.5095 | 0.7138 |
| No log | 0.7208 | 382 | 0.5529 | 0.4649 | 0.5529 | 0.7436 |
| No log | 0.7245 | 384 | 0.5092 | 0.4446 | 0.5092 | 0.7136 |
| No log | 0.7283 | 386 | 0.4870 | 0.3874 | 0.4870 | 0.6978 |
| No log | 0.7321 | 388 | 0.4869 | 0.3835 | 0.4869 | 0.6978 |
| No log | 0.7358 | 390 | 0.4718 | 0.4790 | 0.4718 | 0.6869 |
| No log | 0.7396 | 392 | 0.5518 | 0.5051 | 0.5518 | 0.7429 |
| No log | 0.7434 | 394 | 0.5384 | 0.5257 | 0.5384 | 0.7337 |
| No log | 0.7472 | 396 | 0.4499 | 0.4814 | 0.4499 | 0.6707 |
| No log | 0.7509 | 398 | 0.5894 | 0.3288 | 0.5894 | 0.7677 |
| No log | 0.7547 | 400 | 0.5932 | 0.3238 | 0.5932 | 0.7702 |
| No log | 0.7585 | 402 | 0.4811 | 0.3903 | 0.4811 | 0.6936 |
| No log | 0.7623 | 404 | 0.5028 | 0.4867 | 0.5028 | 0.7091 |
| No log | 0.7660 | 406 | 0.5885 | 0.4829 | 0.5885 | 0.7671 |
| No log | 0.7698 | 408 | 0.5443 | 0.4865 | 0.5443 | 0.7378 |
| No log | 0.7736 | 410 | 0.4896 | 0.3708 | 0.4896 | 0.6997 |
| No log | 0.7774 | 412 | 0.6136 | 0.2270 | 0.6136 | 0.7833 |
| No log | 0.7811 | 414 | 0.6552 | 0.2103 | 0.6552 | 0.8094 |
| No log | 0.7849 | 416 | 0.5744 | 0.2410 | 0.5744 | 0.7579 |
| No log | 0.7887 | 418 | 0.5019 | 0.3669 | 0.5019 | 0.7084 |
| No log | 0.7925 | 420 | 0.5287 | 0.4993 | 0.5287 | 0.7271 |
| No log | 0.7962 | 422 | 0.5279 | 0.5230 | 0.5279 | 0.7266 |
| No log | 0.8 | 424 | 0.4563 | 0.4776 | 0.4563 | 0.6755 |
| No log | 0.8038 | 426 | 0.5081 | 0.3701 | 0.5081 | 0.7128 |
| No log | 0.8075 | 428 | 0.5115 | 0.3622 | 0.5115 | 0.7152 |
| No log | 0.8113 | 430 | 0.4529 | 0.4409 | 0.4529 | 0.6730 |
| No log | 0.8151 | 432 | 0.4905 | 0.5270 | 0.4905 | 0.7004 |
| No log | 0.8189 | 434 | 0.5053 | 0.5062 | 0.5053 | 0.7109 |
| No log | 0.8226 | 436 | 0.4566 | 0.4600 | 0.4566 | 0.6757 |
| No log | 0.8264 | 438 | 0.4643 | 0.4246 | 0.4643 | 0.6814 |
| No log | 0.8302 | 440 | 0.4605 | 0.4362 | 0.4605 | 0.6786 |
| No log | 0.8340 | 442 | 0.4689 | 0.5443 | 0.4689 | 0.6848 |
| No log | 0.8377 | 444 | 0.6962 | 0.4879 | 0.6962 | 0.8344 |
| No log | 0.8415 | 446 | 0.7045 | 0.4583 | 0.7045 | 0.8393 |
| No log | 0.8453 | 448 | 0.5197 | 0.5408 | 0.5197 | 0.7209 |
| No log | 0.8491 | 450 | 0.4811 | 0.4794 | 0.4811 | 0.6936 |
| No log | 0.8528 | 452 | 0.4976 | 0.4538 | 0.4976 | 0.7054 |
| No log | 0.8566 | 454 | 0.5050 | 0.4628 | 0.5050 | 0.7106 |
| No log | 0.8604 | 456 | 0.5760 | 0.5155 | 0.5760 | 0.7590 |
| No log | 0.8642 | 458 | 0.6076 | 0.5034 | 0.6076 | 0.7795 |
| No log | 0.8679 | 460 | 0.5062 | 0.5494 | 0.5062 | 0.7115 |
| No log | 0.8717 | 462 | 0.4456 | 0.5019 | 0.4456 | 0.6675 |
| No log | 0.8755 | 464 | 0.4391 | 0.5196 | 0.4391 | 0.6627 |
| No log | 0.8792 | 466 | 0.4541 | 0.5540 | 0.4541 | 0.6739 |
| No log | 0.8830 | 468 | 0.4336 | 0.5583 | 0.4336 | 0.6585 |
| No log | 0.8868 | 470 | 0.4249 | 0.4969 | 0.4249 | 0.6519 |
| No log | 0.8906 | 472 | 0.6162 | 0.3664 | 0.6162 | 0.7850 |
| No log | 0.8943 | 474 | 0.6842 | 0.3279 | 0.6842 | 0.8272 |
| No log | 0.8981 | 476 | 0.4780 | 0.4129 | 0.4780 | 0.6914 |
| No log | 0.9019 | 478 | 0.4569 | 0.5566 | 0.4569 | 0.6760 |
| No log | 0.9057 | 480 | 0.4996 | 0.5628 | 0.4996 | 0.7068 |
| No log | 0.9094 | 482 | 0.4464 | 0.5227 | 0.4464 | 0.6682 |
| No log | 0.9132 | 484 | 0.4444 | 0.4594 | 0.4444 | 0.6667 |
| No log | 0.9170 | 486 | 0.4440 | 0.5104 | 0.4440 | 0.6663 |
| No log | 0.9208 | 488 | 0.4822 | 0.5337 | 0.4822 | 0.6944 |
| No log | 0.9245 | 490 | 0.4928 | 0.5272 | 0.4928 | 0.7020 |
| No log | 0.9283 | 492 | 0.4745 | 0.5281 | 0.4745 | 0.6889 |
| No log | 0.9321 | 494 | 0.4789 | 0.5429 | 0.4789 | 0.6920 |
| No log | 0.9358 | 496 | 0.4606 | 0.5459 | 0.4606 | 0.6787 |
| No log | 0.9396 | 498 | 0.4478 | 0.5607 | 0.4478 | 0.6692 |
| 0.5317 | 0.9434 | 500 | 0.4800 | 0.5600 | 0.4800 | 0.6928 |
| 0.5317 | 0.9472 | 502 | 0.4288 | 0.5331 | 0.4288 | 0.6548 |
| 0.5317 | 0.9509 | 504 | 0.4307 | 0.5235 | 0.4307 | 0.6563 |
| 0.5317 | 0.9547 | 506 | 0.4846 | 0.5711 | 0.4846 | 0.6961 |
| 0.5317 | 0.9585 | 508 | 0.6884 | 0.5589 | 0.6884 | 0.8297 |
| 0.5317 | 0.9623 | 510 | 0.5738 | 0.5832 | 0.5738 | 0.7575 |
| 0.5317 | 0.9660 | 512 | 0.4560 | 0.4934 | 0.4560 | 0.6753 |
| 0.5317 | 0.9698 | 514 | 0.4975 | 0.3363 | 0.4975 | 0.7053 |
| 0.5317 | 0.9736 | 516 | 0.4998 | 0.3411 | 0.4998 | 0.7070 |
| 0.5317 | 0.9774 | 518 | 0.4740 | 0.4796 | 0.4740 | 0.6884 |
| 0.5317 | 0.9811 | 520 | 0.5351 | 0.5254 | 0.5351 | 0.7315 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
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Model tree for MayBashendy/ASAP_FineTuningBERT_Aug_k35_task1_organization_fold0
Base model
google-bert/bert-base-uncased