Instructions to use MayBashendy/ASAP_FineTuningBERT_AugV4_k20_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_AugV4_k20_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_AugV4_k20_task1_organization_fold0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ASAP_FineTuningBERT_AugV4_k20_task1_organization_fold0") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ASAP_FineTuningBERT_AugV4_k20_task1_organization_fold0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ASAP_FineTuningBERT_AugV4_k20_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: 0.7471
- Qwk: 0.3202
- Mse: 0.7471
- Rmse: 0.8643
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 | 0.0010 | 2 | 9.7954 | 0.0036 | 9.7954 | 3.1298 |
| No log | 0.0021 | 4 | 8.3631 | 0.0 | 8.3631 | 2.8919 |
| No log | 0.0031 | 6 | 7.3743 | 0.0 | 7.3743 | 2.7156 |
| No log | 0.0041 | 8 | 6.7388 | 0.0 | 6.7388 | 2.5959 |
| No log | 0.0052 | 10 | 5.9411 | 0.0091 | 5.9411 | 2.4374 |
| No log | 0.0062 | 12 | 5.1503 | 0.0112 | 5.1503 | 2.2694 |
| No log | 0.0072 | 14 | 4.3682 | 0.0115 | 4.3682 | 2.0900 |
| No log | 0.0083 | 16 | 3.6330 | 0.0039 | 3.6330 | 1.9060 |
| No log | 0.0093 | 18 | 2.8966 | 0.0 | 2.8966 | 1.7019 |
| No log | 0.0103 | 20 | 2.2700 | 0.0731 | 2.2700 | 1.5066 |
| No log | 0.0114 | 22 | 1.7536 | 0.0382 | 1.7536 | 1.3242 |
| No log | 0.0124 | 24 | 1.3641 | 0.0316 | 1.3641 | 1.1679 |
| No log | 0.0135 | 26 | 1.0979 | 0.0316 | 1.0979 | 1.0478 |
| No log | 0.0145 | 28 | 0.8856 | 0.0487 | 0.8856 | 0.9411 |
| No log | 0.0155 | 30 | 0.8039 | 0.1397 | 0.8039 | 0.8966 |
| No log | 0.0166 | 32 | 0.7668 | 0.1076 | 0.7668 | 0.8757 |
| No log | 0.0176 | 34 | 0.7403 | 0.1169 | 0.7403 | 0.8604 |
| No log | 0.0186 | 36 | 0.8144 | 0.0798 | 0.8144 | 0.9025 |
| No log | 0.0197 | 38 | 0.9480 | 0.0521 | 0.9480 | 0.9736 |
| No log | 0.0207 | 40 | 0.9425 | 0.0174 | 0.9425 | 0.9708 |
| No log | 0.0217 | 42 | 1.0306 | 0.0521 | 1.0306 | 1.0152 |
| No log | 0.0228 | 44 | 1.0714 | 0.0348 | 1.0714 | 1.0351 |
| No log | 0.0238 | 46 | 0.9639 | 0.0521 | 0.9639 | 0.9818 |
| No log | 0.0248 | 48 | 0.9735 | 0.0521 | 0.9735 | 0.9867 |
| No log | 0.0259 | 50 | 0.9496 | 0.0521 | 0.9496 | 0.9745 |
| No log | 0.0269 | 52 | 0.8456 | 0.0521 | 0.8456 | 0.9196 |
| No log | 0.0279 | 54 | 0.8318 | 0.0521 | 0.8318 | 0.9120 |
| No log | 0.0290 | 56 | 0.7742 | 0.0803 | 0.7742 | 0.8799 |
| No log | 0.0300 | 58 | 0.8688 | 0.0521 | 0.8688 | 0.9321 |
| No log | 0.0310 | 60 | 1.1012 | 0.0348 | 1.1012 | 1.0494 |
| No log | 0.0321 | 62 | 1.2316 | 0.0889 | 1.2316 | 1.1098 |
| No log | 0.0331 | 64 | 1.1422 | 0.0125 | 1.1422 | 1.0688 |
| No log | 0.0341 | 66 | 1.0330 | 0.0174 | 1.0330 | 1.0164 |
| No log | 0.0352 | 68 | 1.1091 | 0.0174 | 1.1091 | 1.0531 |
| No log | 0.0362 | 70 | 1.0762 | 0.0174 | 1.0762 | 1.0374 |
| No log | 0.0372 | 72 | 1.0341 | 0.0174 | 1.0341 | 1.0169 |
| No log | 0.0383 | 74 | 0.9423 | 0.0174 | 0.9423 | 0.9707 |
| No log | 0.0393 | 76 | 0.9138 | 0.0174 | 0.9138 | 0.9559 |
| No log | 0.0404 | 78 | 0.9387 | 0.0174 | 0.9387 | 0.9689 |
| No log | 0.0414 | 80 | 0.9830 | 0.0174 | 0.9830 | 0.9914 |
| No log | 0.0424 | 82 | 0.9575 | 0.0174 | 0.9575 | 0.9785 |
| No log | 0.0435 | 84 | 0.8932 | 0.0174 | 0.8932 | 0.9451 |
| No log | 0.0445 | 86 | 0.8650 | 0.0174 | 0.8650 | 0.9301 |
| No log | 0.0455 | 88 | 0.8687 | 0.0 | 0.8687 | 0.9320 |
| No log | 0.0466 | 90 | 0.8942 | 0.0 | 0.8942 | 0.9456 |
| No log | 0.0476 | 92 | 1.0163 | 0.0174 | 1.0163 | 1.0081 |
| No log | 0.0486 | 94 | 1.1586 | 0.0174 | 1.1586 | 1.0764 |
| No log | 0.0497 | 96 | 1.0872 | 0.0174 | 1.0872 | 1.0427 |
| No log | 0.0507 | 98 | 0.9913 | 0.0174 | 0.9913 | 0.9957 |
| No log | 0.0517 | 100 | 0.9341 | 0.0174 | 0.9341 | 0.9665 |
| No log | 0.0528 | 102 | 0.9498 | 0.0174 | 0.9498 | 0.9746 |
| No log | 0.0538 | 104 | 0.9958 | 0.0174 | 0.9958 | 0.9979 |
| No log | 0.0548 | 106 | 1.0615 | 0.0 | 1.0615 | 1.0303 |
| No log | 0.0559 | 108 | 1.2641 | 0.0765 | 1.2641 | 1.1243 |
| No log | 0.0569 | 110 | 1.3163 | 0.0486 | 1.3163 | 1.1473 |
| No log | 0.0579 | 112 | 1.2238 | 0.0274 | 1.2238 | 1.1063 |
| No log | 0.0590 | 114 | 1.0506 | -0.0662 | 1.0506 | 1.0250 |
| No log | 0.0600 | 116 | 1.0833 | 0.0348 | 1.0833 | 1.0408 |
| No log | 0.0610 | 118 | 1.1068 | 0.1395 | 1.1068 | 1.0521 |
| No log | 0.0621 | 120 | 1.1440 | 0.1508 | 1.1440 | 1.0696 |
| No log | 0.0631 | 122 | 1.3295 | 0.0784 | 1.3295 | 1.1530 |
| No log | 0.0641 | 124 | 1.5560 | 0.0434 | 1.5560 | 1.2474 |
| No log | 0.0652 | 126 | 1.4934 | 0.0448 | 1.4934 | 1.2220 |
| No log | 0.0662 | 128 | 1.2341 | -0.0215 | 1.2341 | 1.1109 |
| No log | 0.0673 | 130 | 1.1780 | -0.0769 | 1.1780 | 1.0853 |
| No log | 0.0683 | 132 | 1.0621 | -0.0635 | 1.0621 | 1.0306 |
| No log | 0.0693 | 134 | 1.2510 | 0.0376 | 1.2510 | 1.1185 |
| No log | 0.0704 | 136 | 1.3927 | 0.0660 | 1.3927 | 1.1801 |
| No log | 0.0714 | 138 | 1.2321 | 0.0626 | 1.2321 | 1.1100 |
| No log | 0.0724 | 140 | 1.1206 | 0.0067 | 1.1206 | 1.0586 |
| No log | 0.0735 | 142 | 1.1694 | 0.0293 | 1.1694 | 1.0814 |
| No log | 0.0745 | 144 | 1.4817 | 0.0758 | 1.4817 | 1.2173 |
| No log | 0.0755 | 146 | 1.6317 | 0.0517 | 1.6317 | 1.2774 |
| No log | 0.0766 | 148 | 1.3862 | 0.1009 | 1.3862 | 1.1774 |
| No log | 0.0776 | 150 | 1.0835 | 0.0368 | 1.0835 | 1.0409 |
| No log | 0.0786 | 152 | 1.0563 | 0.0130 | 1.0563 | 1.0278 |
| No log | 0.0797 | 154 | 1.1515 | 0.0780 | 1.1515 | 1.0731 |
| No log | 0.0807 | 156 | 1.1422 | 0.0720 | 1.1422 | 1.0687 |
| No log | 0.0817 | 158 | 0.9683 | -0.0166 | 0.9683 | 0.9840 |
| No log | 0.0828 | 160 | 0.9556 | -0.0043 | 0.9556 | 0.9776 |
| No log | 0.0838 | 162 | 1.0944 | 0.0832 | 1.0944 | 1.0461 |
| No log | 0.0848 | 164 | 1.1548 | 0.1210 | 1.1548 | 1.0746 |
| No log | 0.0859 | 166 | 1.2407 | 0.1048 | 1.2407 | 1.1139 |
| No log | 0.0869 | 168 | 1.0875 | 0.1465 | 1.0875 | 1.0428 |
| No log | 0.0879 | 170 | 0.9771 | 0.0810 | 0.9771 | 0.9885 |
| No log | 0.0890 | 172 | 0.9035 | 0.0195 | 0.9035 | 0.9505 |
| No log | 0.0900 | 174 | 0.8713 | 0.0020 | 0.8713 | 0.9334 |
| No log | 0.0911 | 176 | 0.8797 | 0.0494 | 0.8797 | 0.9379 |
| No log | 0.0921 | 178 | 0.9793 | 0.1100 | 0.9793 | 0.9896 |
| No log | 0.0931 | 180 | 1.0679 | 0.1192 | 1.0679 | 1.0334 |
| No log | 0.0942 | 182 | 0.9230 | 0.1178 | 0.9230 | 0.9608 |
| No log | 0.0952 | 184 | 0.8105 | 0.1313 | 0.8105 | 0.9003 |
| No log | 0.0962 | 186 | 0.8036 | 0.1472 | 0.8036 | 0.8964 |
| No log | 0.0973 | 188 | 0.9082 | 0.1735 | 0.9082 | 0.9530 |
| No log | 0.0983 | 190 | 0.8943 | 0.2192 | 0.8943 | 0.9457 |
| No log | 0.0993 | 192 | 0.7569 | 0.1883 | 0.7569 | 0.8700 |
| No log | 0.1004 | 194 | 0.7473 | 0.2241 | 0.7473 | 0.8645 |
| No log | 0.1014 | 196 | 0.8202 | 0.2069 | 0.8202 | 0.9056 |
| No log | 0.1024 | 198 | 0.8107 | 0.2421 | 0.8107 | 0.9004 |
| No log | 0.1035 | 200 | 0.7626 | 0.2743 | 0.7626 | 0.8733 |
| No log | 0.1045 | 202 | 0.7869 | 0.2694 | 0.7869 | 0.8871 |
| No log | 0.1055 | 204 | 0.7625 | 0.3038 | 0.7625 | 0.8732 |
| No log | 0.1066 | 206 | 0.7676 | 0.2933 | 0.7676 | 0.8761 |
| No log | 0.1076 | 208 | 0.8769 | 0.3049 | 0.8769 | 0.9365 |
| No log | 0.1086 | 210 | 1.1860 | 0.2348 | 1.1860 | 1.0890 |
| No log | 0.1097 | 212 | 0.9754 | 0.2711 | 0.9754 | 0.9876 |
| No log | 0.1107 | 214 | 0.7538 | 0.1399 | 0.7538 | 0.8682 |
| No log | 0.1117 | 216 | 0.7429 | 0.2310 | 0.7429 | 0.8619 |
| No log | 0.1128 | 218 | 0.7348 | 0.2103 | 0.7348 | 0.8572 |
| No log | 0.1138 | 220 | 0.7408 | 0.1761 | 0.7408 | 0.8607 |
| No log | 0.1148 | 222 | 0.7553 | 0.2087 | 0.7553 | 0.8691 |
| No log | 0.1159 | 224 | 0.7812 | 0.2105 | 0.7812 | 0.8839 |
| No log | 0.1169 | 226 | 0.7438 | 0.2248 | 0.7438 | 0.8625 |
| No log | 0.1180 | 228 | 0.7189 | 0.2493 | 0.7189 | 0.8479 |
| No log | 0.1190 | 230 | 0.7216 | 0.2706 | 0.7216 | 0.8495 |
| No log | 0.1200 | 232 | 0.7937 | 0.3058 | 0.7937 | 0.8909 |
| No log | 0.1211 | 234 | 0.9452 | 0.3024 | 0.9452 | 0.9722 |
| No log | 0.1221 | 236 | 0.7744 | 0.3336 | 0.7744 | 0.8800 |
| No log | 0.1231 | 238 | 0.6752 | 0.3231 | 0.6752 | 0.8217 |
| No log | 0.1242 | 240 | 0.6820 | 0.3169 | 0.6820 | 0.8258 |
| No log | 0.1252 | 242 | 0.8566 | 0.2806 | 0.8566 | 0.9255 |
| No log | 0.1262 | 244 | 0.9518 | 0.2937 | 0.9518 | 0.9756 |
| No log | 0.1273 | 246 | 0.7580 | 0.2388 | 0.7580 | 0.8706 |
| No log | 0.1283 | 248 | 0.6981 | 0.2560 | 0.6981 | 0.8355 |
| No log | 0.1293 | 250 | 0.7067 | 0.2847 | 0.7067 | 0.8406 |
| No log | 0.1304 | 252 | 0.7251 | 0.2445 | 0.7251 | 0.8515 |
| No log | 0.1314 | 254 | 0.9206 | 0.2761 | 0.9206 | 0.9595 |
| No log | 0.1324 | 256 | 0.8753 | 0.2917 | 0.8753 | 0.9356 |
| No log | 0.1335 | 258 | 0.7137 | 0.3113 | 0.7137 | 0.8448 |
| No log | 0.1345 | 260 | 0.7175 | 0.2924 | 0.7175 | 0.8471 |
| No log | 0.1355 | 262 | 0.7467 | 0.3359 | 0.7467 | 0.8641 |
| No log | 0.1366 | 264 | 0.7938 | 0.3454 | 0.7938 | 0.8910 |
| No log | 0.1376 | 266 | 0.7441 | 0.3527 | 0.7441 | 0.8626 |
| No log | 0.1386 | 268 | 0.7300 | 0.2999 | 0.7300 | 0.8544 |
| No log | 0.1397 | 270 | 0.8558 | 0.2385 | 0.8558 | 0.9251 |
| No log | 0.1407 | 272 | 0.7411 | 0.3219 | 0.7411 | 0.8609 |
| No log | 0.1417 | 274 | 0.8754 | 0.3482 | 0.8754 | 0.9356 |
| No log | 0.1428 | 276 | 1.1164 | 0.2801 | 1.1164 | 1.0566 |
| No log | 0.1438 | 278 | 0.9342 | 0.3173 | 0.9342 | 0.9665 |
| No log | 0.1449 | 280 | 0.7253 | 0.3472 | 0.7253 | 0.8516 |
| No log | 0.1459 | 282 | 0.8811 | 0.2255 | 0.8811 | 0.9387 |
| No log | 0.1469 | 284 | 0.7957 | 0.2833 | 0.7957 | 0.8920 |
| No log | 0.1480 | 286 | 0.7903 | 0.3179 | 0.7903 | 0.8890 |
| No log | 0.1490 | 288 | 0.9706 | 0.2569 | 0.9706 | 0.9852 |
| No log | 0.1500 | 290 | 0.8836 | 0.3067 | 0.8836 | 0.9400 |
| No log | 0.1511 | 292 | 0.8088 | 0.2806 | 0.8088 | 0.8993 |
| No log | 0.1521 | 294 | 0.7588 | 0.3108 | 0.7588 | 0.8711 |
| No log | 0.1531 | 296 | 0.7357 | 0.3417 | 0.7357 | 0.8577 |
| No log | 0.1542 | 298 | 0.7188 | 0.3215 | 0.7188 | 0.8478 |
| No log | 0.1552 | 300 | 0.7483 | 0.3667 | 0.7483 | 0.8650 |
| No log | 0.1562 | 302 | 0.7399 | 0.3482 | 0.7399 | 0.8602 |
| No log | 0.1573 | 304 | 0.7445 | 0.3518 | 0.7445 | 0.8628 |
| No log | 0.1583 | 306 | 0.7841 | 0.3450 | 0.7841 | 0.8855 |
| No log | 0.1593 | 308 | 0.7984 | 0.3645 | 0.7984 | 0.8935 |
| No log | 0.1604 | 310 | 0.8229 | 0.3923 | 0.8229 | 0.9072 |
| No log | 0.1614 | 312 | 0.8433 | 0.3608 | 0.8433 | 0.9183 |
| No log | 0.1624 | 314 | 0.7478 | 0.3838 | 0.7478 | 0.8648 |
| No log | 0.1635 | 316 | 0.7100 | 0.3853 | 0.7100 | 0.8426 |
| No log | 0.1645 | 318 | 0.7199 | 0.4001 | 0.7199 | 0.8485 |
| No log | 0.1655 | 320 | 0.7937 | 0.3730 | 0.7937 | 0.8909 |
| No log | 0.1666 | 322 | 0.7828 | 0.3816 | 0.7828 | 0.8848 |
| No log | 0.1676 | 324 | 0.7007 | 0.3972 | 0.7007 | 0.8371 |
| No log | 0.1686 | 326 | 0.6736 | 0.3835 | 0.6736 | 0.8207 |
| No log | 0.1697 | 328 | 0.6816 | 0.3940 | 0.6816 | 0.8256 |
| No log | 0.1707 | 330 | 0.6983 | 0.3715 | 0.6983 | 0.8356 |
| No log | 0.1718 | 332 | 0.9216 | 0.3350 | 0.9216 | 0.9600 |
| No log | 0.1728 | 334 | 1.0408 | 0.2947 | 1.0408 | 1.0202 |
| No log | 0.1738 | 336 | 0.7844 | 0.3626 | 0.7844 | 0.8856 |
| No log | 0.1749 | 338 | 0.7415 | 0.3490 | 0.7415 | 0.8611 |
| No log | 0.1759 | 340 | 0.7780 | 0.3401 | 0.7780 | 0.8821 |
| No log | 0.1769 | 342 | 0.7321 | 0.3632 | 0.7321 | 0.8556 |
| No log | 0.1780 | 344 | 0.8016 | 0.3291 | 0.8016 | 0.8953 |
| No log | 0.1790 | 346 | 1.1327 | 0.2877 | 1.1327 | 1.0643 |
| No log | 0.1800 | 348 | 1.1354 | 0.2802 | 1.1354 | 1.0655 |
| No log | 0.1811 | 350 | 0.8213 | 0.3097 | 0.8213 | 0.9063 |
| No log | 0.1821 | 352 | 0.7472 | 0.3129 | 0.7472 | 0.8644 |
| No log | 0.1831 | 354 | 0.7565 | 0.3063 | 0.7565 | 0.8698 |
| No log | 0.1842 | 356 | 0.7878 | 0.2805 | 0.7878 | 0.8876 |
| No log | 0.1852 | 358 | 0.8235 | 0.2782 | 0.8235 | 0.9074 |
| No log | 0.1862 | 360 | 0.7179 | 0.2886 | 0.7179 | 0.8473 |
| No log | 0.1873 | 362 | 0.7026 | 0.3096 | 0.7026 | 0.8382 |
| No log | 0.1883 | 364 | 0.7873 | 0.3480 | 0.7873 | 0.8873 |
| No log | 0.1893 | 366 | 0.8004 | 0.3643 | 0.8004 | 0.8946 |
| No log | 0.1904 | 368 | 0.7347 | 0.3733 | 0.7347 | 0.8571 |
| No log | 0.1914 | 370 | 0.7637 | 0.3797 | 0.7637 | 0.8739 |
| No log | 0.1924 | 372 | 0.8092 | 0.3456 | 0.8092 | 0.8995 |
| No log | 0.1935 | 374 | 0.8593 | 0.3597 | 0.8593 | 0.9270 |
| No log | 0.1945 | 376 | 0.8224 | 0.3620 | 0.8224 | 0.9069 |
| No log | 0.1956 | 378 | 0.7218 | 0.3501 | 0.7218 | 0.8496 |
| No log | 0.1966 | 380 | 0.7180 | 0.3351 | 0.7180 | 0.8474 |
| No log | 0.1976 | 382 | 0.7616 | 0.3101 | 0.7616 | 0.8727 |
| No log | 0.1987 | 384 | 0.7351 | 0.2989 | 0.7351 | 0.8574 |
| No log | 0.1997 | 386 | 0.7151 | 0.2641 | 0.7151 | 0.8456 |
| No log | 0.2007 | 388 | 0.7182 | 0.2387 | 0.7182 | 0.8475 |
| No log | 0.2018 | 390 | 0.7088 | 0.2315 | 0.7088 | 0.8419 |
| No log | 0.2028 | 392 | 0.7102 | 0.2523 | 0.7102 | 0.8427 |
| No log | 0.2038 | 394 | 0.7253 | 0.2391 | 0.7253 | 0.8516 |
| No log | 0.2049 | 396 | 0.7293 | 0.2587 | 0.7293 | 0.8540 |
| No log | 0.2059 | 398 | 0.7406 | 0.2784 | 0.7406 | 0.8606 |
| No log | 0.2069 | 400 | 0.7449 | 0.3044 | 0.7449 | 0.8631 |
| No log | 0.2080 | 402 | 0.8446 | 0.3093 | 0.8446 | 0.9190 |
| No log | 0.2090 | 404 | 0.8958 | 0.3083 | 0.8958 | 0.9464 |
| No log | 0.2100 | 406 | 0.7723 | 0.3101 | 0.7723 | 0.8788 |
| No log | 0.2111 | 408 | 0.8678 | 0.2510 | 0.8678 | 0.9315 |
| No log | 0.2121 | 410 | 0.8203 | 0.2545 | 0.8203 | 0.9057 |
| No log | 0.2131 | 412 | 0.8371 | 0.3424 | 0.8371 | 0.9149 |
| No log | 0.2142 | 414 | 1.2717 | 0.2287 | 1.2717 | 1.1277 |
| No log | 0.2152 | 416 | 1.4281 | 0.1817 | 1.4281 | 1.1950 |
| No log | 0.2162 | 418 | 1.1060 | 0.2403 | 1.1060 | 1.0517 |
| No log | 0.2173 | 420 | 0.8219 | 0.2580 | 0.8219 | 0.9066 |
| No log | 0.2183 | 422 | 0.8017 | 0.2465 | 0.8017 | 0.8954 |
| No log | 0.2193 | 424 | 0.8119 | 0.2458 | 0.8119 | 0.9011 |
| No log | 0.2204 | 426 | 0.8225 | 0.2623 | 0.8225 | 0.9069 |
| No log | 0.2214 | 428 | 0.8040 | 0.2592 | 0.8040 | 0.8967 |
| No log | 0.2225 | 430 | 0.7925 | 0.2800 | 0.7925 | 0.8902 |
| No log | 0.2235 | 432 | 0.8093 | 0.2396 | 0.8093 | 0.8996 |
| No log | 0.2245 | 434 | 0.7996 | 0.2501 | 0.7996 | 0.8942 |
| No log | 0.2256 | 436 | 0.8414 | 0.2673 | 0.8414 | 0.9173 |
| No log | 0.2266 | 438 | 0.9049 | 0.3039 | 0.9049 | 0.9513 |
| No log | 0.2276 | 440 | 0.8153 | 0.2812 | 0.8153 | 0.9029 |
| No log | 0.2287 | 442 | 0.7411 | 0.2578 | 0.7411 | 0.8609 |
| No log | 0.2297 | 444 | 0.7523 | 0.2627 | 0.7523 | 0.8674 |
| No log | 0.2307 | 446 | 0.8608 | 0.3341 | 0.8608 | 0.9278 |
| No log | 0.2318 | 448 | 0.8527 | 0.3278 | 0.8527 | 0.9234 |
| No log | 0.2328 | 450 | 0.8261 | 0.3422 | 0.8261 | 0.9089 |
| No log | 0.2338 | 452 | 0.8310 | 0.3462 | 0.8310 | 0.9116 |
| No log | 0.2349 | 454 | 0.9097 | 0.3133 | 0.9097 | 0.9538 |
| No log | 0.2359 | 456 | 1.0062 | 0.2746 | 1.0062 | 1.0031 |
| No log | 0.2369 | 458 | 0.8932 | 0.2714 | 0.8932 | 0.9451 |
| No log | 0.2380 | 460 | 0.8586 | 0.2752 | 0.8586 | 0.9266 |
| No log | 0.2390 | 462 | 0.9816 | 0.2650 | 0.9816 | 0.9908 |
| No log | 0.2400 | 464 | 1.0321 | 0.2475 | 1.0321 | 1.0159 |
| No log | 0.2411 | 466 | 0.8502 | 0.2855 | 0.8502 | 0.9220 |
| No log | 0.2421 | 468 | 0.7734 | 0.2614 | 0.7734 | 0.8794 |
| No log | 0.2431 | 470 | 0.7965 | 0.2712 | 0.7965 | 0.8925 |
| No log | 0.2442 | 472 | 1.0430 | 0.2608 | 1.0430 | 1.0213 |
| No log | 0.2452 | 474 | 1.1130 | 0.2589 | 1.1130 | 1.0550 |
| No log | 0.2462 | 476 | 0.8816 | 0.3026 | 0.8816 | 0.9389 |
| No log | 0.2473 | 478 | 0.7499 | 0.2898 | 0.7499 | 0.8660 |
| No log | 0.2483 | 480 | 0.7460 | 0.3100 | 0.7460 | 0.8637 |
| No log | 0.2494 | 482 | 0.9395 | 0.3310 | 0.9395 | 0.9693 |
| No log | 0.2504 | 484 | 1.0006 | 0.3109 | 1.0006 | 1.0003 |
| No log | 0.2514 | 486 | 0.7745 | 0.3655 | 0.7745 | 0.8800 |
| No log | 0.2525 | 488 | 0.7455 | 0.3805 | 0.7455 | 0.8634 |
| No log | 0.2535 | 490 | 0.9072 | 0.3730 | 0.9072 | 0.9525 |
| No log | 0.2545 | 492 | 0.9415 | 0.3560 | 0.9415 | 0.9703 |
| No log | 0.2556 | 494 | 0.9006 | 0.3533 | 0.9006 | 0.9490 |
| No log | 0.2566 | 496 | 0.8500 | 0.3574 | 0.8500 | 0.9220 |
| No log | 0.2576 | 498 | 0.8125 | 0.3473 | 0.8125 | 0.9014 |
| 1.0184 | 0.2587 | 500 | 0.7906 | 0.3470 | 0.7906 | 0.8892 |
| 1.0184 | 0.2597 | 502 | 0.9147 | 0.3535 | 0.9147 | 0.9564 |
| 1.0184 | 0.2607 | 504 | 0.8699 | 0.3640 | 0.8699 | 0.9327 |
| 1.0184 | 0.2618 | 506 | 0.9151 | 0.3576 | 0.9151 | 0.9566 |
| 1.0184 | 0.2628 | 508 | 0.8358 | 0.3587 | 0.8358 | 0.9142 |
| 1.0184 | 0.2638 | 510 | 0.7576 | 0.3512 | 0.7576 | 0.8704 |
| 1.0184 | 0.2649 | 512 | 0.7185 | 0.3932 | 0.7185 | 0.8476 |
| 1.0184 | 0.2659 | 514 | 0.8014 | 0.3704 | 0.8014 | 0.8952 |
| 1.0184 | 0.2669 | 516 | 1.1175 | 0.3117 | 1.1175 | 1.0571 |
| 1.0184 | 0.2680 | 518 | 1.0329 | 0.3313 | 1.0329 | 1.0163 |
| 1.0184 | 0.2690 | 520 | 0.8798 | 0.3483 | 0.8798 | 0.9380 |
| 1.0184 | 0.2700 | 522 | 0.8179 | 0.3534 | 0.8179 | 0.9044 |
| 1.0184 | 0.2711 | 524 | 0.7114 | 0.3866 | 0.7114 | 0.8434 |
| 1.0184 | 0.2721 | 526 | 0.6985 | 0.4031 | 0.6985 | 0.8358 |
| 1.0184 | 0.2732 | 528 | 0.7827 | 0.3823 | 0.7827 | 0.8847 |
| 1.0184 | 0.2742 | 530 | 0.8529 | 0.3642 | 0.8529 | 0.9235 |
| 1.0184 | 0.2752 | 532 | 0.7811 | 0.3802 | 0.7811 | 0.8838 |
| 1.0184 | 0.2763 | 534 | 0.7194 | 0.3915 | 0.7194 | 0.8482 |
| 1.0184 | 0.2773 | 536 | 0.7506 | 0.3675 | 0.7506 | 0.8664 |
| 1.0184 | 0.2783 | 538 | 0.9124 | 0.3412 | 0.9124 | 0.9552 |
| 1.0184 | 0.2794 | 540 | 0.8486 | 0.3451 | 0.8486 | 0.9212 |
| 1.0184 | 0.2804 | 542 | 0.6798 | 0.3388 | 0.6798 | 0.8245 |
| 1.0184 | 0.2814 | 544 | 0.6569 | 0.3701 | 0.6569 | 0.8105 |
| 1.0184 | 0.2825 | 546 | 0.6957 | 0.3663 | 0.6957 | 0.8341 |
| 1.0184 | 0.2835 | 548 | 0.7381 | 0.3901 | 0.7381 | 0.8592 |
| 1.0184 | 0.2845 | 550 | 0.7479 | 0.4061 | 0.7479 | 0.8648 |
| 1.0184 | 0.2856 | 552 | 0.7200 | 0.4472 | 0.7200 | 0.8485 |
| 1.0184 | 0.2866 | 554 | 0.7171 | 0.4380 | 0.7171 | 0.8468 |
| 1.0184 | 0.2876 | 556 | 0.6997 | 0.4167 | 0.6997 | 0.8365 |
| 1.0184 | 0.2887 | 558 | 0.7954 | 0.3862 | 0.7954 | 0.8918 |
| 1.0184 | 0.2897 | 560 | 0.8714 | 0.3546 | 0.8714 | 0.9335 |
| 1.0184 | 0.2907 | 562 | 0.8037 | 0.3744 | 0.8037 | 0.8965 |
| 1.0184 | 0.2918 | 564 | 0.7325 | 0.3620 | 0.7325 | 0.8559 |
| 1.0184 | 0.2928 | 566 | 0.8043 | 0.3619 | 0.8043 | 0.8968 |
| 1.0184 | 0.2938 | 568 | 0.7846 | 0.3742 | 0.7846 | 0.8858 |
| 1.0184 | 0.2949 | 570 | 0.8479 | 0.3522 | 0.8479 | 0.9208 |
| 1.0184 | 0.2959 | 572 | 0.8521 | 0.3567 | 0.8521 | 0.9231 |
| 1.0184 | 0.2969 | 574 | 0.9080 | 0.3399 | 0.9080 | 0.9529 |
| 1.0184 | 0.2980 | 576 | 0.8414 | 0.3485 | 0.8414 | 0.9173 |
| 1.0184 | 0.2990 | 578 | 0.8616 | 0.3287 | 0.8616 | 0.9282 |
| 1.0184 | 0.3001 | 580 | 1.1011 | 0.3019 | 1.1011 | 1.0493 |
| 1.0184 | 0.3011 | 582 | 1.1102 | 0.2860 | 1.1102 | 1.0537 |
| 1.0184 | 0.3021 | 584 | 0.8175 | 0.3162 | 0.8175 | 0.9042 |
| 1.0184 | 0.3032 | 586 | 0.7531 | 0.3515 | 0.7531 | 0.8678 |
| 1.0184 | 0.3042 | 588 | 0.9002 | 0.3159 | 0.9002 | 0.9488 |
| 1.0184 | 0.3052 | 590 | 1.0100 | 0.3159 | 1.0100 | 1.0050 |
| 1.0184 | 0.3063 | 592 | 0.8297 | 0.3360 | 0.8297 | 0.9109 |
| 1.0184 | 0.3073 | 594 | 0.8095 | 0.3489 | 0.8095 | 0.8997 |
| 1.0184 | 0.3083 | 596 | 0.9846 | 0.3464 | 0.9846 | 0.9923 |
| 1.0184 | 0.3094 | 598 | 1.0127 | 0.3376 | 1.0127 | 1.0063 |
| 1.0184 | 0.3104 | 600 | 0.7477 | 0.3767 | 0.7477 | 0.8647 |
| 1.0184 | 0.3114 | 602 | 0.6995 | 0.4031 | 0.6995 | 0.8363 |
| 1.0184 | 0.3125 | 604 | 0.7403 | 0.3778 | 0.7403 | 0.8604 |
| 1.0184 | 0.3135 | 606 | 0.9572 | 0.3479 | 0.9572 | 0.9784 |
| 1.0184 | 0.3145 | 608 | 0.8813 | 0.3570 | 0.8813 | 0.9388 |
| 1.0184 | 0.3156 | 610 | 0.6899 | 0.3745 | 0.6899 | 0.8306 |
| 1.0184 | 0.3166 | 612 | 0.7165 | 0.3484 | 0.7165 | 0.8464 |
| 1.0184 | 0.3176 | 614 | 0.7109 | 0.3477 | 0.7109 | 0.8432 |
| 1.0184 | 0.3187 | 616 | 0.8166 | 0.3379 | 0.8166 | 0.9037 |
| 1.0184 | 0.3197 | 618 | 1.1536 | 0.2751 | 1.1536 | 1.0741 |
| 1.0184 | 0.3207 | 620 | 1.1066 | 0.2700 | 1.1066 | 1.0519 |
| 1.0184 | 0.3218 | 622 | 0.8176 | 0.3333 | 0.8176 | 0.9042 |
| 1.0184 | 0.3228 | 624 | 0.7471 | 0.3202 | 0.7471 | 0.8643 |
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/ASAP_FineTuningBERT_AugV4_k20_task1_organization_fold0
Base model
google-bert/bert-base-uncased