Instructions to use MayBashendy/ASAP_FineTuningBERT_AugV4_k15_task1_organization_fold1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ASAP_FineTuningBERT_AugV4_k15_task1_organization_fold1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ASAP_FineTuningBERT_AugV4_k15_task1_organization_fold1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ASAP_FineTuningBERT_AugV4_k15_task1_organization_fold1") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ASAP_FineTuningBERT_AugV4_k15_task1_organization_fold1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ASAP_FineTuningBERT_AugV4_k15_task1_organization_fold1
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: 0.7856
- Qwk: 0.4847
- Mse: 0.7856
- Rmse: 0.8863
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 | 0.0013 | 2 | 10.3202 | -0.0001 | 10.3202 | 3.2125 |
| No log | 0.0026 | 4 | 8.5704 | 0.0 | 8.5704 | 2.9275 |
| No log | 0.0040 | 6 | 7.7413 | 0.0 | 7.7413 | 2.7823 |
| No log | 0.0053 | 8 | 6.6440 | 0.0 | 6.6440 | 2.5776 |
| No log | 0.0066 | 10 | 5.5958 | 0.0820 | 5.5958 | 2.3656 |
| No log | 0.0079 | 12 | 4.8646 | 0.0040 | 4.8646 | 2.2056 |
| No log | 0.0092 | 14 | 4.1095 | 0.0 | 4.1095 | 2.0272 |
| No log | 0.0106 | 16 | 3.3459 | 0.0 | 3.3459 | 1.8292 |
| No log | 0.0119 | 18 | 2.6499 | 0.0 | 2.6499 | 1.6279 |
| No log | 0.0132 | 20 | 2.0208 | 0.1152 | 2.0208 | 1.4216 |
| No log | 0.0145 | 22 | 1.4905 | 0.0 | 1.4905 | 1.2209 |
| No log | 0.0158 | 24 | 1.1891 | 0.0 | 1.1891 | 1.0905 |
| No log | 0.0172 | 26 | 0.9742 | 0.0 | 0.9742 | 0.9870 |
| No log | 0.0185 | 28 | 0.8740 | 0.3403 | 0.8740 | 0.9349 |
| No log | 0.0198 | 30 | 0.8581 | 0.1067 | 0.8581 | 0.9263 |
| No log | 0.0211 | 32 | 0.9432 | 0.0286 | 0.9432 | 0.9712 |
| No log | 0.0224 | 34 | 1.1398 | 0.0 | 1.1398 | 1.0676 |
| No log | 0.0238 | 36 | 1.1621 | 0.0 | 1.1621 | 1.0780 |
| No log | 0.0251 | 38 | 1.1270 | 0.0090 | 1.1270 | 1.0616 |
| No log | 0.0264 | 40 | 1.3954 | 0.0 | 1.3954 | 1.1813 |
| No log | 0.0277 | 42 | 1.3748 | 0.0 | 1.3748 | 1.1725 |
| No log | 0.0290 | 44 | 1.1881 | 0.0 | 1.1881 | 1.0900 |
| No log | 0.0304 | 46 | 1.0212 | 0.0 | 1.0212 | 1.0106 |
| No log | 0.0317 | 48 | 0.9915 | 0.0 | 0.9915 | 0.9957 |
| No log | 0.0330 | 50 | 0.9551 | 0.0143 | 0.9551 | 0.9773 |
| No log | 0.0343 | 52 | 0.9434 | 0.0286 | 0.9434 | 0.9713 |
| No log | 0.0356 | 54 | 0.9552 | 0.0286 | 0.9552 | 0.9773 |
| No log | 0.0370 | 56 | 1.0188 | 0.0 | 1.0188 | 1.0094 |
| No log | 0.0383 | 58 | 1.0197 | 0.0 | 1.0197 | 1.0098 |
| No log | 0.0396 | 60 | 1.0202 | 0.0 | 1.0202 | 1.0100 |
| No log | 0.0409 | 62 | 0.9458 | 0.0143 | 0.9458 | 0.9725 |
| No log | 0.0422 | 64 | 0.8928 | 0.0286 | 0.8928 | 0.9449 |
| No log | 0.0436 | 66 | 0.9064 | 0.0286 | 0.9064 | 0.9520 |
| No log | 0.0449 | 68 | 1.0075 | 0.0143 | 1.0075 | 1.0038 |
| No log | 0.0462 | 70 | 1.1836 | 0.0 | 1.1836 | 1.0879 |
| No log | 0.0475 | 72 | 1.1595 | 0.0 | 1.1595 | 1.0768 |
| No log | 0.0488 | 74 | 1.0238 | 0.0 | 1.0238 | 1.0118 |
| No log | 0.0502 | 76 | 1.0869 | 0.0143 | 1.0869 | 1.0426 |
| No log | 0.0515 | 78 | 1.1147 | 0.0286 | 1.1147 | 1.0558 |
| No log | 0.0528 | 80 | 1.2150 | 0.0070 | 1.2150 | 1.1023 |
| No log | 0.0541 | 82 | 1.3250 | 0.0220 | 1.3250 | 1.1511 |
| No log | 0.0554 | 84 | 1.2755 | 0.0362 | 1.2755 | 1.1294 |
| No log | 0.0568 | 86 | 1.1489 | 0.0034 | 1.1489 | 1.0719 |
| No log | 0.0581 | 88 | 1.0187 | 0.0 | 1.0187 | 1.0093 |
| No log | 0.0594 | 90 | 1.1382 | 0.0328 | 1.1382 | 1.0669 |
| No log | 0.0607 | 92 | 1.2615 | 0.2124 | 1.2615 | 1.1232 |
| No log | 0.0620 | 94 | 1.1825 | 0.1774 | 1.1825 | 1.0874 |
| No log | 0.0634 | 96 | 0.9694 | 0.0286 | 0.9694 | 0.9846 |
| No log | 0.0647 | 98 | 0.8097 | 0.0925 | 0.8097 | 0.8999 |
| No log | 0.0660 | 100 | 0.8010 | 0.0996 | 0.8010 | 0.8950 |
| No log | 0.0673 | 102 | 0.8009 | 0.0873 | 0.8009 | 0.8949 |
| No log | 0.0686 | 104 | 0.8105 | 0.0908 | 0.8105 | 0.9003 |
| No log | 0.0700 | 106 | 0.8312 | 0.0873 | 0.8312 | 0.9117 |
| No log | 0.0713 | 108 | 0.9008 | 0.0429 | 0.9008 | 0.9491 |
| No log | 0.0726 | 110 | 1.0593 | 0.0365 | 1.0593 | 1.0292 |
| No log | 0.0739 | 112 | 1.1079 | 0.0692 | 1.1079 | 1.0526 |
| No log | 0.0752 | 114 | 1.0405 | 0.0401 | 1.0405 | 1.0200 |
| No log | 0.0766 | 116 | 0.8869 | 0.0358 | 0.8869 | 0.9418 |
| No log | 0.0779 | 118 | 0.8261 | 0.1185 | 0.8261 | 0.9089 |
| No log | 0.0792 | 120 | 0.7901 | 0.1362 | 0.7901 | 0.8889 |
| No log | 0.0805 | 122 | 0.7537 | 0.1702 | 0.7537 | 0.8682 |
| No log | 0.0818 | 124 | 0.7728 | 0.1699 | 0.7728 | 0.8791 |
| No log | 0.0832 | 126 | 0.7958 | 0.3396 | 0.7958 | 0.8921 |
| No log | 0.0845 | 128 | 0.7899 | 0.4086 | 0.7899 | 0.8888 |
| No log | 0.0858 | 130 | 0.7784 | 0.4148 | 0.7784 | 0.8823 |
| No log | 0.0871 | 132 | 0.6976 | 0.3841 | 0.6976 | 0.8352 |
| No log | 0.0884 | 134 | 0.6722 | 0.3895 | 0.6722 | 0.8199 |
| No log | 0.0898 | 136 | 0.7143 | 0.4421 | 0.7143 | 0.8452 |
| No log | 0.0911 | 138 | 0.7766 | 0.3948 | 0.7766 | 0.8813 |
| No log | 0.0924 | 140 | 0.6581 | 0.3454 | 0.6581 | 0.8113 |
| No log | 0.0937 | 142 | 0.6111 | 0.3978 | 0.6111 | 0.7817 |
| No log | 0.0950 | 144 | 0.6449 | 0.3825 | 0.6449 | 0.8030 |
| No log | 0.0964 | 146 | 0.6766 | 0.4239 | 0.6766 | 0.8226 |
| No log | 0.0977 | 148 | 0.9192 | 0.3933 | 0.9192 | 0.9587 |
| No log | 0.0990 | 150 | 1.1446 | 0.3347 | 1.1446 | 1.0698 |
| No log | 0.1003 | 152 | 1.1454 | 0.3395 | 1.1454 | 1.0702 |
| No log | 0.1017 | 154 | 1.0274 | 0.3720 | 1.0274 | 1.0136 |
| No log | 0.1030 | 156 | 1.0871 | 0.3540 | 1.0871 | 1.0427 |
| No log | 0.1043 | 158 | 1.0708 | 0.3552 | 1.0708 | 1.0348 |
| No log | 0.1056 | 160 | 1.0910 | 0.3409 | 1.0910 | 1.0445 |
| No log | 0.1069 | 162 | 0.8479 | 0.3925 | 0.8479 | 0.9208 |
| No log | 0.1083 | 164 | 0.6812 | 0.3452 | 0.6812 | 0.8253 |
| No log | 0.1096 | 166 | 0.6783 | 0.3275 | 0.6783 | 0.8236 |
| No log | 0.1109 | 168 | 0.7841 | 0.3865 | 0.7841 | 0.8855 |
| No log | 0.1122 | 170 | 0.8372 | 0.4216 | 0.8372 | 0.9150 |
| No log | 0.1135 | 172 | 0.7700 | 0.4387 | 0.7700 | 0.8775 |
| No log | 0.1149 | 174 | 0.6334 | 0.4560 | 0.6334 | 0.7959 |
| No log | 0.1162 | 176 | 0.5958 | 0.4282 | 0.5958 | 0.7719 |
| No log | 0.1175 | 178 | 0.5849 | 0.4530 | 0.5849 | 0.7648 |
| No log | 0.1188 | 180 | 0.5906 | 0.5139 | 0.5906 | 0.7685 |
| No log | 0.1201 | 182 | 0.7285 | 0.5058 | 0.7285 | 0.8535 |
| No log | 0.1215 | 184 | 0.9224 | 0.4151 | 0.9224 | 0.9604 |
| No log | 0.1228 | 186 | 0.8846 | 0.4032 | 0.8846 | 0.9405 |
| No log | 0.1241 | 188 | 0.7174 | 0.3861 | 0.7174 | 0.8470 |
| No log | 0.1254 | 190 | 0.5657 | 0.4919 | 0.5657 | 0.7521 |
| No log | 0.1267 | 192 | 0.5880 | 0.4657 | 0.5880 | 0.7668 |
| No log | 0.1281 | 194 | 0.5777 | 0.4486 | 0.5777 | 0.7601 |
| No log | 0.1294 | 196 | 0.6114 | 0.4751 | 0.6114 | 0.7819 |
| No log | 0.1307 | 198 | 0.6022 | 0.4885 | 0.6022 | 0.7760 |
| No log | 0.1320 | 200 | 0.5974 | 0.4868 | 0.5974 | 0.7729 |
| No log | 0.1333 | 202 | 0.5795 | 0.5177 | 0.5795 | 0.7613 |
| No log | 0.1347 | 204 | 0.5811 | 0.4978 | 0.5811 | 0.7623 |
| No log | 0.1360 | 206 | 0.5862 | 0.4820 | 0.5862 | 0.7656 |
| No log | 0.1373 | 208 | 0.5845 | 0.4950 | 0.5845 | 0.7645 |
| No log | 0.1386 | 210 | 0.5898 | 0.4893 | 0.5898 | 0.7680 |
| No log | 0.1399 | 212 | 0.6204 | 0.4349 | 0.6204 | 0.7877 |
| No log | 0.1413 | 214 | 0.6558 | 0.4490 | 0.6558 | 0.8098 |
| No log | 0.1426 | 216 | 0.6566 | 0.4831 | 0.6566 | 0.8103 |
| No log | 0.1439 | 218 | 0.6930 | 0.4712 | 0.6930 | 0.8325 |
| No log | 0.1452 | 220 | 0.6168 | 0.5572 | 0.6168 | 0.7854 |
| No log | 0.1465 | 222 | 0.5847 | 0.5613 | 0.5847 | 0.7647 |
| No log | 0.1479 | 224 | 0.5749 | 0.5483 | 0.5749 | 0.7582 |
| No log | 0.1492 | 226 | 0.6071 | 0.5277 | 0.6071 | 0.7792 |
| No log | 0.1505 | 228 | 0.6121 | 0.4974 | 0.6121 | 0.7823 |
| No log | 0.1518 | 230 | 0.5762 | 0.4659 | 0.5762 | 0.7591 |
| No log | 0.1531 | 232 | 0.5905 | 0.4887 | 0.5905 | 0.7685 |
| No log | 0.1545 | 234 | 0.5837 | 0.4710 | 0.5837 | 0.7640 |
| No log | 0.1558 | 236 | 0.6089 | 0.4796 | 0.6089 | 0.7803 |
| No log | 0.1571 | 238 | 0.6009 | 0.4706 | 0.6009 | 0.7752 |
| No log | 0.1584 | 240 | 0.5940 | 0.4818 | 0.5940 | 0.7707 |
| No log | 0.1597 | 242 | 0.6007 | 0.5081 | 0.6007 | 0.7750 |
| No log | 0.1611 | 244 | 0.6300 | 0.4996 | 0.6300 | 0.7937 |
| No log | 0.1624 | 246 | 0.6263 | 0.5264 | 0.6263 | 0.7914 |
| No log | 0.1637 | 248 | 0.6179 | 0.5196 | 0.6179 | 0.7861 |
| No log | 0.1650 | 250 | 0.6540 | 0.5382 | 0.6540 | 0.8087 |
| No log | 0.1663 | 252 | 0.5849 | 0.5393 | 0.5849 | 0.7648 |
| No log | 0.1677 | 254 | 0.6349 | 0.5246 | 0.6349 | 0.7968 |
| No log | 0.1690 | 256 | 0.6622 | 0.4817 | 0.6622 | 0.8137 |
| No log | 0.1703 | 258 | 0.5784 | 0.4626 | 0.5784 | 0.7605 |
| No log | 0.1716 | 260 | 0.5581 | 0.4696 | 0.5581 | 0.7471 |
| No log | 0.1729 | 262 | 0.6008 | 0.4606 | 0.6008 | 0.7751 |
| No log | 0.1743 | 264 | 0.5793 | 0.4965 | 0.5793 | 0.7611 |
| No log | 0.1756 | 266 | 0.6289 | 0.4625 | 0.6289 | 0.7930 |
| No log | 0.1769 | 268 | 0.8875 | 0.4145 | 0.8875 | 0.9421 |
| No log | 0.1782 | 270 | 0.8925 | 0.4020 | 0.8925 | 0.9447 |
| No log | 0.1795 | 272 | 0.7021 | 0.4693 | 0.7021 | 0.8379 |
| No log | 0.1809 | 274 | 0.6155 | 0.4957 | 0.6155 | 0.7846 |
| No log | 0.1822 | 276 | 0.5862 | 0.5088 | 0.5862 | 0.7656 |
| No log | 0.1835 | 278 | 0.6171 | 0.4711 | 0.6171 | 0.7855 |
| No log | 0.1848 | 280 | 0.8006 | 0.4332 | 0.8006 | 0.8948 |
| No log | 0.1861 | 282 | 0.8649 | 0.4233 | 0.8649 | 0.9300 |
| No log | 0.1875 | 284 | 0.7152 | 0.4118 | 0.7152 | 0.8457 |
| No log | 0.1888 | 286 | 0.5953 | 0.4223 | 0.5953 | 0.7716 |
| No log | 0.1901 | 288 | 0.6058 | 0.4401 | 0.6058 | 0.7783 |
| No log | 0.1914 | 290 | 0.6656 | 0.4409 | 0.6656 | 0.8158 |
| No log | 0.1927 | 292 | 0.6130 | 0.4581 | 0.6130 | 0.7829 |
| No log | 0.1941 | 294 | 0.5764 | 0.4693 | 0.5764 | 0.7592 |
| No log | 0.1954 | 296 | 0.6537 | 0.4544 | 0.6537 | 0.8085 |
| No log | 0.1967 | 298 | 0.6502 | 0.4480 | 0.6502 | 0.8063 |
| No log | 0.1980 | 300 | 0.6819 | 0.4717 | 0.6819 | 0.8258 |
| No log | 0.1993 | 302 | 0.7755 | 0.4657 | 0.7755 | 0.8806 |
| No log | 0.2007 | 304 | 0.7002 | 0.4846 | 0.7002 | 0.8368 |
| No log | 0.2020 | 306 | 0.5751 | 0.5257 | 0.5751 | 0.7583 |
| No log | 0.2033 | 308 | 0.5530 | 0.5457 | 0.5530 | 0.7437 |
| No log | 0.2046 | 310 | 0.5927 | 0.5167 | 0.5927 | 0.7699 |
| No log | 0.2059 | 312 | 0.6145 | 0.5373 | 0.6145 | 0.7839 |
| No log | 0.2073 | 314 | 0.6172 | 0.5347 | 0.6172 | 0.7856 |
| No log | 0.2086 | 316 | 0.5659 | 0.5811 | 0.5659 | 0.7523 |
| No log | 0.2099 | 318 | 0.6014 | 0.5858 | 0.6014 | 0.7755 |
| No log | 0.2112 | 320 | 0.5876 | 0.6020 | 0.5876 | 0.7665 |
| No log | 0.2125 | 322 | 0.5731 | 0.6184 | 0.5731 | 0.7570 |
| No log | 0.2139 | 324 | 0.5965 | 0.5977 | 0.5965 | 0.7723 |
| No log | 0.2152 | 326 | 0.5713 | 0.6240 | 0.5713 | 0.7558 |
| No log | 0.2165 | 328 | 0.5543 | 0.6064 | 0.5543 | 0.7445 |
| No log | 0.2178 | 330 | 0.5254 | 0.6208 | 0.5254 | 0.7248 |
| No log | 0.2191 | 332 | 0.5179 | 0.5815 | 0.5179 | 0.7197 |
| No log | 0.2205 | 334 | 0.5165 | 0.5721 | 0.5165 | 0.7187 |
| No log | 0.2218 | 336 | 0.5248 | 0.5711 | 0.5248 | 0.7244 |
| No log | 0.2231 | 338 | 0.5245 | 0.5763 | 0.5245 | 0.7243 |
| No log | 0.2244 | 340 | 0.5476 | 0.5645 | 0.5476 | 0.7400 |
| No log | 0.2257 | 342 | 0.6258 | 0.5169 | 0.6258 | 0.7911 |
| No log | 0.2271 | 344 | 0.6072 | 0.5398 | 0.6072 | 0.7792 |
| No log | 0.2284 | 346 | 0.5198 | 0.6100 | 0.5198 | 0.7210 |
| No log | 0.2297 | 348 | 0.5258 | 0.5873 | 0.5258 | 0.7251 |
| No log | 0.2310 | 350 | 0.5042 | 0.6214 | 0.5042 | 0.7101 |
| No log | 0.2323 | 352 | 0.5046 | 0.5996 | 0.5046 | 0.7104 |
| No log | 0.2337 | 354 | 0.5416 | 0.5918 | 0.5416 | 0.7359 |
| No log | 0.2350 | 356 | 0.5458 | 0.5949 | 0.5458 | 0.7388 |
| No log | 0.2363 | 358 | 0.5324 | 0.6242 | 0.5324 | 0.7297 |
| No log | 0.2376 | 360 | 0.6282 | 0.5741 | 0.6282 | 0.7926 |
| No log | 0.2389 | 362 | 0.5794 | 0.6011 | 0.5794 | 0.7612 |
| No log | 0.2403 | 364 | 0.5673 | 0.6052 | 0.5673 | 0.7532 |
| No log | 0.2416 | 366 | 0.5696 | 0.6025 | 0.5696 | 0.7547 |
| No log | 0.2429 | 368 | 0.5384 | 0.6112 | 0.5384 | 0.7338 |
| No log | 0.2442 | 370 | 0.5627 | 0.6072 | 0.5627 | 0.7501 |
| No log | 0.2455 | 372 | 0.5508 | 0.6124 | 0.5508 | 0.7422 |
| No log | 0.2469 | 374 | 0.5540 | 0.6116 | 0.5540 | 0.7443 |
| No log | 0.2482 | 376 | 0.6162 | 0.5623 | 0.6162 | 0.7850 |
| No log | 0.2495 | 378 | 0.8371 | 0.4814 | 0.8371 | 0.9149 |
| No log | 0.2508 | 380 | 0.9129 | 0.4600 | 0.9129 | 0.9555 |
| No log | 0.2521 | 382 | 0.7539 | 0.4931 | 0.7539 | 0.8682 |
| No log | 0.2535 | 384 | 0.6206 | 0.5048 | 0.6206 | 0.7878 |
| No log | 0.2548 | 386 | 0.5972 | 0.4690 | 0.5972 | 0.7728 |
| No log | 0.2561 | 388 | 0.6663 | 0.4731 | 0.6663 | 0.8163 |
| No log | 0.2574 | 390 | 0.7329 | 0.4431 | 0.7329 | 0.8561 |
| No log | 0.2587 | 392 | 0.6606 | 0.4884 | 0.6606 | 0.8128 |
| No log | 0.2601 | 394 | 0.6303 | 0.4921 | 0.6303 | 0.7939 |
| No log | 0.2614 | 396 | 0.6115 | 0.4904 | 0.6115 | 0.7820 |
| No log | 0.2627 | 398 | 0.5803 | 0.5122 | 0.5803 | 0.7618 |
| No log | 0.2640 | 400 | 0.6124 | 0.5135 | 0.6124 | 0.7825 |
| No log | 0.2653 | 402 | 0.6016 | 0.5336 | 0.6016 | 0.7756 |
| No log | 0.2667 | 404 | 0.5591 | 0.5259 | 0.5591 | 0.7478 |
| No log | 0.2680 | 406 | 0.5511 | 0.5340 | 0.5511 | 0.7424 |
| No log | 0.2693 | 408 | 0.5659 | 0.5350 | 0.5659 | 0.7523 |
| No log | 0.2706 | 410 | 0.6266 | 0.5271 | 0.6266 | 0.7916 |
| No log | 0.2719 | 412 | 0.5607 | 0.5358 | 0.5607 | 0.7488 |
| No log | 0.2733 | 414 | 0.5195 | 0.5674 | 0.5195 | 0.7208 |
| No log | 0.2746 | 416 | 0.5407 | 0.5389 | 0.5407 | 0.7353 |
| No log | 0.2759 | 418 | 0.5085 | 0.5790 | 0.5085 | 0.7131 |
| No log | 0.2772 | 420 | 0.5219 | 0.5768 | 0.5219 | 0.7224 |
| No log | 0.2785 | 422 | 0.5169 | 0.5765 | 0.5169 | 0.7190 |
| No log | 0.2799 | 424 | 0.5220 | 0.5700 | 0.5220 | 0.7225 |
| No log | 0.2812 | 426 | 0.5530 | 0.5701 | 0.5530 | 0.7436 |
| No log | 0.2825 | 428 | 0.5181 | 0.5599 | 0.5181 | 0.7198 |
| No log | 0.2838 | 430 | 0.5412 | 0.5976 | 0.5412 | 0.7357 |
| No log | 0.2851 | 432 | 0.5467 | 0.5791 | 0.5467 | 0.7394 |
| No log | 0.2865 | 434 | 0.5218 | 0.5978 | 0.5218 | 0.7224 |
| No log | 0.2878 | 436 | 0.5170 | 0.5735 | 0.5170 | 0.7191 |
| No log | 0.2891 | 438 | 0.5232 | 0.5678 | 0.5232 | 0.7234 |
| No log | 0.2904 | 440 | 0.5126 | 0.5785 | 0.5126 | 0.7160 |
| No log | 0.2917 | 442 | 0.5099 | 0.5820 | 0.5099 | 0.7141 |
| No log | 0.2931 | 444 | 0.5093 | 0.6021 | 0.5093 | 0.7136 |
| No log | 0.2944 | 446 | 0.5139 | 0.6155 | 0.5139 | 0.7169 |
| No log | 0.2957 | 448 | 0.5398 | 0.6221 | 0.5398 | 0.7347 |
| No log | 0.2970 | 450 | 0.5660 | 0.6132 | 0.5660 | 0.7523 |
| No log | 0.2983 | 452 | 0.6008 | 0.6095 | 0.6008 | 0.7751 |
| No log | 0.2997 | 454 | 0.5816 | 0.5951 | 0.5816 | 0.7627 |
| No log | 0.3010 | 456 | 0.5316 | 0.6243 | 0.5316 | 0.7291 |
| No log | 0.3023 | 458 | 0.5746 | 0.5759 | 0.5746 | 0.7580 |
| No log | 0.3036 | 460 | 0.5500 | 0.6134 | 0.5500 | 0.7416 |
| No log | 0.3050 | 462 | 0.5334 | 0.6042 | 0.5334 | 0.7304 |
| No log | 0.3063 | 464 | 0.5991 | 0.5692 | 0.5991 | 0.7740 |
| No log | 0.3076 | 466 | 0.6276 | 0.5556 | 0.6276 | 0.7922 |
| No log | 0.3089 | 468 | 0.6732 | 0.5190 | 0.6732 | 0.8205 |
| No log | 0.3102 | 470 | 0.7130 | 0.4854 | 0.7130 | 0.8444 |
| No log | 0.3116 | 472 | 0.7349 | 0.4694 | 0.7349 | 0.8573 |
| No log | 0.3129 | 474 | 0.7091 | 0.4981 | 0.7091 | 0.8421 |
| No log | 0.3142 | 476 | 0.7321 | 0.4894 | 0.7321 | 0.8556 |
| No log | 0.3155 | 478 | 0.6060 | 0.5106 | 0.6060 | 0.7784 |
| No log | 0.3168 | 480 | 0.5332 | 0.5854 | 0.5332 | 0.7302 |
| No log | 0.3182 | 482 | 0.5387 | 0.5687 | 0.5387 | 0.7340 |
| No log | 0.3195 | 484 | 0.5367 | 0.5981 | 0.5367 | 0.7326 |
| No log | 0.3208 | 486 | 0.6755 | 0.5536 | 0.6755 | 0.8219 |
| No log | 0.3221 | 488 | 0.6530 | 0.5684 | 0.6530 | 0.8081 |
| No log | 0.3234 | 490 | 0.5083 | 0.5992 | 0.5083 | 0.7130 |
| No log | 0.3248 | 492 | 0.5509 | 0.5584 | 0.5509 | 0.7422 |
| No log | 0.3261 | 494 | 0.6436 | 0.5385 | 0.6436 | 0.8023 |
| No log | 0.3274 | 496 | 0.5696 | 0.5717 | 0.5696 | 0.7547 |
| No log | 0.3287 | 498 | 0.5154 | 0.6165 | 0.5154 | 0.7179 |
| 1.0011 | 0.3300 | 500 | 0.6598 | 0.5655 | 0.6598 | 0.8123 |
| 1.0011 | 0.3314 | 502 | 0.6716 | 0.5665 | 0.6716 | 0.8195 |
| 1.0011 | 0.3327 | 504 | 0.5681 | 0.5715 | 0.5681 | 0.7537 |
| 1.0011 | 0.3340 | 506 | 0.5705 | 0.5477 | 0.5705 | 0.7553 |
| 1.0011 | 0.3353 | 508 | 0.5916 | 0.5350 | 0.5916 | 0.7692 |
| 1.0011 | 0.3366 | 510 | 0.6788 | 0.4969 | 0.6788 | 0.8239 |
| 1.0011 | 0.3380 | 512 | 0.8563 | 0.4853 | 0.8563 | 0.9254 |
| 1.0011 | 0.3393 | 514 | 0.7856 | 0.4847 | 0.7856 | 0.8863 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 27
Model tree for MayBashendy/ASAP_FineTuningBERT_AugV4_k15_task1_organization_fold1
Base model
google-bert/bert-base-uncased