Instructions to use MayBashendy/ASAP_FineTuningBERT_Aug_k40_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_Aug_k40_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_Aug_k40_task1_organization_fold1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k40_task1_organization_fold1") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k40_task1_organization_fold1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ASAP_FineTuningBERT_Aug_k40_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: 0.4952
- Qwk: 0.4642
- Mse: 0.4952
- Rmse: 0.7037
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 | 0.0032 | 2 | 12.2594 | 0.0 | 12.2594 | 3.5013 |
| No log | 0.0063 | 4 | 10.9154 | 0.0 | 10.9154 | 3.3039 |
| No log | 0.0095 | 6 | 9.3746 | 0.0 | 9.3746 | 3.0618 |
| No log | 0.0127 | 8 | 8.3476 | -0.0097 | 8.3476 | 2.8892 |
| No log | 0.0159 | 10 | 6.8701 | 0.0018 | 6.8701 | 2.6211 |
| No log | 0.0190 | 12 | 6.6368 | 0.0093 | 6.6368 | 2.5762 |
| No log | 0.0222 | 14 | 5.2431 | 0.0012 | 5.2431 | 2.2898 |
| No log | 0.0254 | 16 | 4.5330 | 0.0012 | 4.5330 | 2.1291 |
| No log | 0.0286 | 18 | 4.2204 | 0.0301 | 4.2204 | 2.0544 |
| No log | 0.0317 | 20 | 3.5047 | 0.0484 | 3.5047 | 1.8721 |
| No log | 0.0349 | 22 | 2.6052 | 0.0233 | 2.6052 | 1.6141 |
| No log | 0.0381 | 24 | 2.0564 | 0.0171 | 2.0564 | 1.4340 |
| No log | 0.0413 | 26 | 1.7207 | 0.0128 | 1.7207 | 1.3118 |
| No log | 0.0444 | 28 | 1.3506 | 0.0720 | 1.3506 | 1.1622 |
| No log | 0.0476 | 30 | 1.0613 | 0.1056 | 1.0613 | 1.0302 |
| No log | 0.0508 | 32 | 0.9309 | 0.0841 | 0.9309 | 0.9648 |
| No log | 0.0540 | 34 | 0.8418 | 0.0607 | 0.8418 | 0.9175 |
| No log | 0.0571 | 36 | 0.8464 | 0.0443 | 0.8464 | 0.9200 |
| No log | 0.0603 | 38 | 0.7116 | 0.1244 | 0.7116 | 0.8436 |
| No log | 0.0635 | 40 | 1.1430 | 0.1915 | 1.1430 | 1.0691 |
| No log | 0.0667 | 42 | 0.6533 | 0.1623 | 0.6533 | 0.8083 |
| No log | 0.0698 | 44 | 0.7883 | 0.1425 | 0.7883 | 0.8878 |
| No log | 0.0730 | 46 | 0.7902 | 0.0768 | 0.7902 | 0.8889 |
| No log | 0.0762 | 48 | 0.9975 | 0.0482 | 0.9975 | 0.9988 |
| No log | 0.0794 | 50 | 1.0406 | 0.0482 | 1.0406 | 1.0201 |
| No log | 0.0825 | 52 | 0.7711 | 0.1027 | 0.7711 | 0.8781 |
| No log | 0.0857 | 54 | 0.8698 | 0.2058 | 0.8698 | 0.9326 |
| No log | 0.0889 | 56 | 0.6579 | 0.1386 | 0.6579 | 0.8111 |
| No log | 0.0921 | 58 | 0.8834 | 0.0506 | 0.8834 | 0.9399 |
| No log | 0.0952 | 60 | 0.9820 | 0.0379 | 0.9820 | 0.9910 |
| No log | 0.0984 | 62 | 0.9574 | 0.0669 | 0.9574 | 0.9785 |
| No log | 0.1016 | 64 | 0.7527 | 0.0965 | 0.7527 | 0.8676 |
| No log | 0.1048 | 66 | 0.7512 | 0.1924 | 0.7512 | 0.8667 |
| No log | 0.1079 | 68 | 0.8568 | 0.1986 | 0.8568 | 0.9256 |
| No log | 0.1111 | 70 | 0.6964 | 0.1525 | 0.6964 | 0.8345 |
| No log | 0.1143 | 72 | 0.7862 | 0.0669 | 0.7862 | 0.8867 |
| No log | 0.1175 | 74 | 0.8339 | 0.0545 | 0.8339 | 0.9132 |
| No log | 0.1206 | 76 | 0.8832 | 0.0730 | 0.8832 | 0.9398 |
| No log | 0.1238 | 78 | 0.9106 | 0.0969 | 0.9106 | 0.9543 |
| No log | 0.1270 | 80 | 0.8277 | 0.0828 | 0.8277 | 0.9098 |
| No log | 0.1302 | 82 | 0.7543 | 0.0828 | 0.7543 | 0.8685 |
| No log | 0.1333 | 84 | 0.7285 | 0.0910 | 0.7285 | 0.8535 |
| No log | 0.1365 | 86 | 0.7469 | 0.0910 | 0.7469 | 0.8642 |
| No log | 0.1397 | 88 | 0.8428 | 0.1479 | 0.8428 | 0.9180 |
| No log | 0.1429 | 90 | 0.7873 | 0.0828 | 0.7873 | 0.8873 |
| No log | 0.1460 | 92 | 0.8082 | 0.0828 | 0.8082 | 0.8990 |
| No log | 0.1492 | 94 | 0.8519 | 0.0443 | 0.8519 | 0.9230 |
| No log | 0.1524 | 96 | 0.9068 | 0.0276 | 0.9068 | 0.9522 |
| No log | 0.1556 | 98 | 0.8958 | 0.0276 | 0.8958 | 0.9465 |
| No log | 0.1587 | 100 | 0.9076 | 0.0276 | 0.9076 | 0.9527 |
| No log | 0.1619 | 102 | 0.8783 | 0.0276 | 0.8783 | 0.9372 |
| No log | 0.1651 | 104 | 0.8290 | 0.0379 | 0.8290 | 0.9105 |
| No log | 0.1683 | 106 | 0.7695 | 0.0443 | 0.7695 | 0.8772 |
| No log | 0.1714 | 108 | 0.7279 | 0.0931 | 0.7279 | 0.8531 |
| No log | 0.1746 | 110 | 0.8010 | 0.1632 | 0.8010 | 0.8950 |
| No log | 0.1778 | 112 | 0.7560 | 0.1548 | 0.7560 | 0.8695 |
| No log | 0.1810 | 114 | 0.7033 | 0.1354 | 0.7033 | 0.8386 |
| No log | 0.1841 | 116 | 0.7801 | 0.0828 | 0.7801 | 0.8832 |
| No log | 0.1873 | 118 | 0.9491 | 0.0482 | 0.9491 | 0.9742 |
| No log | 0.1905 | 120 | 0.9811 | 0.0172 | 0.9811 | 0.9905 |
| No log | 0.1937 | 122 | 0.9072 | 0.0246 | 0.9072 | 0.9525 |
| No log | 0.1968 | 124 | 0.8357 | 0.1824 | 0.8357 | 0.9142 |
| No log | 0.2 | 126 | 0.8289 | 0.1784 | 0.8289 | 0.9105 |
| No log | 0.2032 | 128 | 0.9202 | 0.0398 | 0.9202 | 0.9593 |
| No log | 0.2063 | 130 | 0.9682 | 0.0379 | 0.9682 | 0.9840 |
| No log | 0.2095 | 132 | 0.8427 | 0.0730 | 0.8427 | 0.9180 |
| No log | 0.2127 | 134 | 0.6949 | 0.1610 | 0.6949 | 0.8336 |
| No log | 0.2159 | 136 | 0.6926 | 0.2026 | 0.6926 | 0.8322 |
| No log | 0.2190 | 138 | 1.2134 | 0.2115 | 1.2134 | 1.1016 |
| No log | 0.2222 | 140 | 1.7551 | 0.1915 | 1.7551 | 1.3248 |
| No log | 0.2254 | 142 | 1.6033 | 0.2100 | 1.6033 | 1.2662 |
| No log | 0.2286 | 144 | 0.9752 | 0.2352 | 0.9752 | 0.9875 |
| No log | 0.2317 | 146 | 0.7935 | 0.2075 | 0.7935 | 0.8908 |
| No log | 0.2349 | 148 | 0.7262 | 0.2063 | 0.7262 | 0.8521 |
| No log | 0.2381 | 150 | 0.6784 | 0.2349 | 0.6784 | 0.8236 |
| No log | 0.2413 | 152 | 0.6807 | 0.3710 | 0.6807 | 0.8250 |
| No log | 0.2444 | 154 | 0.7121 | 0.2131 | 0.7121 | 0.8438 |
| No log | 0.2476 | 156 | 0.7727 | 0.0894 | 0.7727 | 0.8790 |
| No log | 0.2508 | 158 | 0.7833 | 0.0915 | 0.7833 | 0.8850 |
| No log | 0.2540 | 160 | 0.7359 | 0.1329 | 0.7359 | 0.8578 |
| No log | 0.2571 | 162 | 0.7866 | 0.2122 | 0.7866 | 0.8869 |
| No log | 0.2603 | 164 | 0.7383 | 0.2377 | 0.7383 | 0.8592 |
| No log | 0.2635 | 166 | 0.7281 | 0.2490 | 0.7281 | 0.8533 |
| No log | 0.2667 | 168 | 0.7187 | 0.2454 | 0.7187 | 0.8478 |
| No log | 0.2698 | 170 | 0.7635 | 0.0799 | 0.7635 | 0.8738 |
| No log | 0.2730 | 172 | 0.8458 | 0.0431 | 0.8458 | 0.9197 |
| No log | 0.2762 | 174 | 0.8298 | 0.0743 | 0.8298 | 0.9109 |
| No log | 0.2794 | 176 | 0.8758 | 0.0477 | 0.8758 | 0.9358 |
| No log | 0.2825 | 178 | 0.8873 | 0.1198 | 0.8873 | 0.9420 |
| No log | 0.2857 | 180 | 0.9508 | -0.0151 | 0.9508 | 0.9751 |
| No log | 0.2889 | 182 | 0.9959 | -0.0927 | 0.9959 | 0.9979 |
| No log | 0.2921 | 184 | 0.9386 | 0.0221 | 0.9386 | 0.9688 |
| No log | 0.2952 | 186 | 0.9026 | 0.1276 | 0.9026 | 0.9501 |
| No log | 0.2984 | 188 | 0.8776 | 0.1440 | 0.8776 | 0.9368 |
| No log | 0.3016 | 190 | 0.8099 | 0.3126 | 0.8099 | 0.9000 |
| No log | 0.3048 | 192 | 0.7992 | 0.0823 | 0.7992 | 0.8940 |
| No log | 0.3079 | 194 | 0.7431 | 0.1343 | 0.7431 | 0.8620 |
| No log | 0.3111 | 196 | 0.7283 | 0.1741 | 0.7283 | 0.8534 |
| No log | 0.3143 | 198 | 0.7285 | 0.1887 | 0.7285 | 0.8535 |
| No log | 0.3175 | 200 | 0.7717 | 0.2528 | 0.7717 | 0.8785 |
| No log | 0.3206 | 202 | 0.8260 | 0.2249 | 0.8260 | 0.9089 |
| No log | 0.3238 | 204 | 0.8520 | 0.2336 | 0.8520 | 0.9231 |
| No log | 0.3270 | 206 | 0.9359 | 0.2234 | 0.9359 | 0.9674 |
| No log | 0.3302 | 208 | 0.9125 | 0.2090 | 0.9125 | 0.9552 |
| No log | 0.3333 | 210 | 0.8220 | 0.2378 | 0.8220 | 0.9067 |
| No log | 0.3365 | 212 | 0.7994 | 0.2520 | 0.7994 | 0.8941 |
| No log | 0.3397 | 214 | 0.7958 | 0.3027 | 0.7958 | 0.8921 |
| No log | 0.3429 | 216 | 0.7992 | 0.3082 | 0.7992 | 0.8940 |
| No log | 0.3460 | 218 | 0.7747 | 0.3299 | 0.7747 | 0.8802 |
| No log | 0.3492 | 220 | 0.7234 | 0.2453 | 0.7234 | 0.8505 |
| No log | 0.3524 | 222 | 0.7195 | 0.2427 | 0.7195 | 0.8483 |
| No log | 0.3556 | 224 | 0.7247 | 0.3185 | 0.7247 | 0.8513 |
| No log | 0.3587 | 226 | 0.6652 | 0.2842 | 0.6652 | 0.8156 |
| No log | 0.3619 | 228 | 0.6471 | 0.3628 | 0.6471 | 0.8044 |
| No log | 0.3651 | 230 | 0.6265 | 0.3877 | 0.6265 | 0.7915 |
| No log | 0.3683 | 232 | 0.6183 | 0.3918 | 0.6183 | 0.7863 |
| No log | 0.3714 | 234 | 0.6456 | 0.3938 | 0.6456 | 0.8035 |
| No log | 0.3746 | 236 | 0.6189 | 0.3849 | 0.6189 | 0.7867 |
| No log | 0.3778 | 238 | 0.6588 | 0.3639 | 0.6588 | 0.8116 |
| No log | 0.3810 | 240 | 0.6038 | 0.4060 | 0.6038 | 0.7771 |
| No log | 0.3841 | 242 | 0.6123 | 0.3955 | 0.6123 | 0.7825 |
| No log | 0.3873 | 244 | 0.6186 | 0.3963 | 0.6186 | 0.7865 |
| No log | 0.3905 | 246 | 0.6456 | 0.3477 | 0.6456 | 0.8035 |
| No log | 0.3937 | 248 | 0.7257 | 0.3406 | 0.7257 | 0.8519 |
| No log | 0.3968 | 250 | 0.7817 | 0.3216 | 0.7817 | 0.8842 |
| No log | 0.4 | 252 | 0.7872 | 0.3163 | 0.7872 | 0.8872 |
| No log | 0.4032 | 254 | 0.8015 | 0.3276 | 0.8015 | 0.8953 |
| No log | 0.4063 | 256 | 0.7854 | 0.2851 | 0.7854 | 0.8862 |
| No log | 0.4095 | 258 | 0.7603 | 0.2279 | 0.7603 | 0.8719 |
| No log | 0.4127 | 260 | 0.7258 | 0.2454 | 0.7258 | 0.8519 |
| No log | 0.4159 | 262 | 0.6799 | 0.2819 | 0.6799 | 0.8245 |
| No log | 0.4190 | 264 | 0.6609 | 0.2014 | 0.6609 | 0.8130 |
| No log | 0.4222 | 266 | 0.6232 | 0.3182 | 0.6232 | 0.7894 |
| No log | 0.4254 | 268 | 0.6346 | 0.3877 | 0.6346 | 0.7966 |
| No log | 0.4286 | 270 | 0.5952 | 0.3662 | 0.5952 | 0.7715 |
| No log | 0.4317 | 272 | 0.6841 | 0.2060 | 0.6841 | 0.8271 |
| No log | 0.4349 | 274 | 0.7760 | 0.2167 | 0.7760 | 0.8809 |
| No log | 0.4381 | 276 | 0.6053 | 0.2764 | 0.6053 | 0.7780 |
| No log | 0.4413 | 278 | 0.5824 | 0.3723 | 0.5824 | 0.7631 |
| No log | 0.4444 | 280 | 0.6779 | 0.4142 | 0.6779 | 0.8233 |
| No log | 0.4476 | 282 | 0.6912 | 0.3548 | 0.6912 | 0.8314 |
| No log | 0.4508 | 284 | 0.7316 | 0.2459 | 0.7316 | 0.8554 |
| No log | 0.4540 | 286 | 0.7680 | 0.1852 | 0.7680 | 0.8764 |
| No log | 0.4571 | 288 | 0.8018 | 0.0594 | 0.8018 | 0.8954 |
| No log | 0.4603 | 290 | 0.7691 | 0.1896 | 0.7691 | 0.8770 |
| No log | 0.4635 | 292 | 0.8408 | 0.3526 | 0.8408 | 0.9169 |
| No log | 0.4667 | 294 | 0.8727 | 0.3355 | 0.8727 | 0.9342 |
| No log | 0.4698 | 296 | 0.7884 | 0.3433 | 0.7884 | 0.8879 |
| No log | 0.4730 | 298 | 0.7770 | 0.1148 | 0.7770 | 0.8815 |
| No log | 0.4762 | 300 | 0.7694 | 0.1369 | 0.7694 | 0.8772 |
| No log | 0.4794 | 302 | 0.7730 | 0.3393 | 0.7730 | 0.8792 |
| No log | 0.4825 | 304 | 1.0773 | 0.2918 | 1.0773 | 1.0379 |
| No log | 0.4857 | 306 | 1.0864 | 0.2985 | 1.0864 | 1.0423 |
| No log | 0.4889 | 308 | 0.8038 | 0.3421 | 0.8038 | 0.8965 |
| No log | 0.4921 | 310 | 0.7242 | 0.2522 | 0.7242 | 0.8510 |
| No log | 0.4952 | 312 | 0.7287 | 0.1731 | 0.7287 | 0.8537 |
| No log | 0.4984 | 314 | 0.7115 | 0.3421 | 0.7115 | 0.8435 |
| No log | 0.5016 | 316 | 0.7679 | 0.3560 | 0.7679 | 0.8763 |
| No log | 0.5048 | 318 | 0.9157 | 0.3237 | 0.9157 | 0.9569 |
| No log | 0.5079 | 320 | 0.8716 | 0.3458 | 0.8716 | 0.9336 |
| No log | 0.5111 | 322 | 0.6857 | 0.3926 | 0.6857 | 0.8281 |
| No log | 0.5143 | 324 | 0.6317 | 0.2943 | 0.6317 | 0.7948 |
| No log | 0.5175 | 326 | 0.6340 | 0.2838 | 0.6340 | 0.7963 |
| No log | 0.5206 | 328 | 0.6227 | 0.3659 | 0.6227 | 0.7891 |
| No log | 0.5238 | 330 | 0.6551 | 0.4008 | 0.6551 | 0.8094 |
| No log | 0.5270 | 332 | 0.7438 | 0.4170 | 0.7438 | 0.8624 |
| No log | 0.5302 | 334 | 0.7567 | 0.4035 | 0.7567 | 0.8699 |
| No log | 0.5333 | 336 | 0.7921 | 0.3383 | 0.7921 | 0.8900 |
| No log | 0.5365 | 338 | 0.7993 | 0.3196 | 0.7993 | 0.8940 |
| No log | 0.5397 | 340 | 0.8297 | 0.3024 | 0.8297 | 0.9109 |
| No log | 0.5429 | 342 | 0.8678 | 0.2890 | 0.8678 | 0.9315 |
| No log | 0.5460 | 344 | 0.9000 | 0.3046 | 0.9000 | 0.9487 |
| No log | 0.5492 | 346 | 0.8038 | 0.3338 | 0.8038 | 0.8966 |
| No log | 0.5524 | 348 | 0.7061 | 0.3307 | 0.7061 | 0.8403 |
| No log | 0.5556 | 350 | 0.6763 | 0.2413 | 0.6763 | 0.8224 |
| No log | 0.5587 | 352 | 0.6470 | 0.2703 | 0.6470 | 0.8044 |
| No log | 0.5619 | 354 | 0.6028 | 0.3868 | 0.6028 | 0.7764 |
| No log | 0.5651 | 356 | 0.5800 | 0.4365 | 0.5800 | 0.7616 |
| No log | 0.5683 | 358 | 0.5284 | 0.3981 | 0.5284 | 0.7269 |
| No log | 0.5714 | 360 | 0.5611 | 0.3483 | 0.5611 | 0.7491 |
| No log | 0.5746 | 362 | 0.5365 | 0.3871 | 0.5365 | 0.7325 |
| No log | 0.5778 | 364 | 0.5369 | 0.4503 | 0.5369 | 0.7328 |
| No log | 0.5810 | 366 | 0.6141 | 0.4906 | 0.6141 | 0.7837 |
| No log | 0.5841 | 368 | 0.5754 | 0.5156 | 0.5754 | 0.7586 |
| No log | 0.5873 | 370 | 0.5328 | 0.4831 | 0.5328 | 0.7299 |
| No log | 0.5905 | 372 | 0.5312 | 0.5205 | 0.5312 | 0.7288 |
| No log | 0.5937 | 374 | 0.5390 | 0.5344 | 0.5390 | 0.7341 |
| No log | 0.5968 | 376 | 0.5080 | 0.5453 | 0.5080 | 0.7128 |
| No log | 0.6 | 378 | 0.4836 | 0.4994 | 0.4836 | 0.6954 |
| No log | 0.6032 | 380 | 0.4764 | 0.5056 | 0.4764 | 0.6903 |
| No log | 0.6063 | 382 | 0.4710 | 0.5291 | 0.4710 | 0.6863 |
| No log | 0.6095 | 384 | 0.4764 | 0.5278 | 0.4764 | 0.6902 |
| No log | 0.6127 | 386 | 0.5233 | 0.4758 | 0.5233 | 0.7234 |
| No log | 0.6159 | 388 | 0.5255 | 0.4312 | 0.5255 | 0.7249 |
| No log | 0.6190 | 390 | 0.5870 | 0.3653 | 0.5870 | 0.7662 |
| No log | 0.6222 | 392 | 0.5382 | 0.3765 | 0.5382 | 0.7336 |
| No log | 0.6254 | 394 | 0.5466 | 0.5011 | 0.5466 | 0.7393 |
| No log | 0.6286 | 396 | 0.7364 | 0.5201 | 0.7364 | 0.8582 |
| No log | 0.6317 | 398 | 0.8088 | 0.4859 | 0.8088 | 0.8994 |
| No log | 0.6349 | 400 | 0.6923 | 0.4458 | 0.6923 | 0.8321 |
| No log | 0.6381 | 402 | 0.6499 | 0.4079 | 0.6499 | 0.8062 |
| No log | 0.6413 | 404 | 0.6510 | 0.2981 | 0.6510 | 0.8068 |
| No log | 0.6444 | 406 | 0.5799 | 0.3712 | 0.5799 | 0.7615 |
| No log | 0.6476 | 408 | 0.5404 | 0.5066 | 0.5404 | 0.7352 |
| No log | 0.6508 | 410 | 0.5529 | 0.5153 | 0.5529 | 0.7436 |
| No log | 0.6540 | 412 | 0.5204 | 0.5214 | 0.5204 | 0.7214 |
| No log | 0.6571 | 414 | 0.5124 | 0.4443 | 0.5124 | 0.7158 |
| No log | 0.6603 | 416 | 0.5499 | 0.3820 | 0.5499 | 0.7416 |
| No log | 0.6635 | 418 | 0.5485 | 0.3834 | 0.5485 | 0.7406 |
| No log | 0.6667 | 420 | 0.5095 | 0.4395 | 0.5095 | 0.7138 |
| No log | 0.6698 | 422 | 0.5194 | 0.5306 | 0.5194 | 0.7207 |
| No log | 0.6730 | 424 | 0.6538 | 0.5553 | 0.6538 | 0.8086 |
| No log | 0.6762 | 426 | 0.5926 | 0.5565 | 0.5926 | 0.7698 |
| No log | 0.6794 | 428 | 0.4746 | 0.5538 | 0.4746 | 0.6889 |
| No log | 0.6825 | 430 | 0.4624 | 0.4936 | 0.4624 | 0.6800 |
| No log | 0.6857 | 432 | 0.4696 | 0.4875 | 0.4696 | 0.6853 |
| No log | 0.6889 | 434 | 0.4804 | 0.5239 | 0.4804 | 0.6931 |
| No log | 0.6921 | 436 | 0.5134 | 0.4897 | 0.5134 | 0.7165 |
| No log | 0.6952 | 438 | 0.5277 | 0.4585 | 0.5277 | 0.7265 |
| No log | 0.6984 | 440 | 0.5514 | 0.4653 | 0.5514 | 0.7425 |
| No log | 0.7016 | 442 | 0.6007 | 0.4915 | 0.6007 | 0.7751 |
| No log | 0.7048 | 444 | 0.6558 | 0.4798 | 0.6558 | 0.8098 |
| No log | 0.7079 | 446 | 0.7143 | 0.4590 | 0.7143 | 0.8452 |
| No log | 0.7111 | 448 | 0.7287 | 0.4563 | 0.7287 | 0.8536 |
| No log | 0.7143 | 450 | 0.7835 | 0.4519 | 0.7835 | 0.8852 |
| No log | 0.7175 | 452 | 0.7573 | 0.4478 | 0.7573 | 0.8702 |
| No log | 0.7206 | 454 | 0.6686 | 0.4437 | 0.6686 | 0.8177 |
| No log | 0.7238 | 456 | 0.6465 | 0.4758 | 0.6465 | 0.8040 |
| No log | 0.7270 | 458 | 0.5933 | 0.5326 | 0.5933 | 0.7703 |
| No log | 0.7302 | 460 | 0.5047 | 0.5342 | 0.5047 | 0.7104 |
| No log | 0.7333 | 462 | 0.4686 | 0.5084 | 0.4686 | 0.6845 |
| No log | 0.7365 | 464 | 0.4809 | 0.4889 | 0.4809 | 0.6934 |
| No log | 0.7397 | 466 | 0.4928 | 0.4718 | 0.4928 | 0.7020 |
| No log | 0.7429 | 468 | 0.5207 | 0.5043 | 0.5207 | 0.7216 |
| No log | 0.7460 | 470 | 0.6976 | 0.5591 | 0.6976 | 0.8353 |
| No log | 0.7492 | 472 | 0.7096 | 0.5501 | 0.7096 | 0.8424 |
| No log | 0.7524 | 474 | 0.6096 | 0.5106 | 0.6096 | 0.7807 |
| No log | 0.7556 | 476 | 0.5403 | 0.4616 | 0.5403 | 0.7351 |
| No log | 0.7587 | 478 | 0.5200 | 0.4767 | 0.5200 | 0.7211 |
| No log | 0.7619 | 480 | 0.5276 | 0.5647 | 0.5276 | 0.7264 |
| No log | 0.7651 | 482 | 0.4956 | 0.5839 | 0.4956 | 0.7040 |
| No log | 0.7683 | 484 | 0.4303 | 0.5495 | 0.4303 | 0.6560 |
| No log | 0.7714 | 486 | 0.4270 | 0.5508 | 0.4270 | 0.6535 |
| No log | 0.7746 | 488 | 0.4671 | 0.5832 | 0.4671 | 0.6834 |
| No log | 0.7778 | 490 | 0.4509 | 0.5411 | 0.4509 | 0.6715 |
| No log | 0.7810 | 492 | 0.4543 | 0.5276 | 0.4543 | 0.6740 |
| No log | 0.7841 | 494 | 0.4764 | 0.5376 | 0.4764 | 0.6902 |
| No log | 0.7873 | 496 | 0.4925 | 0.5210 | 0.4925 | 0.7018 |
| No log | 0.7905 | 498 | 0.5070 | 0.5008 | 0.5070 | 0.7121 |
| 0.6292 | 0.7937 | 500 | 0.5413 | 0.5062 | 0.5413 | 0.7357 |
| 0.6292 | 0.7968 | 502 | 0.5340 | 0.5120 | 0.5340 | 0.7308 |
| 0.6292 | 0.8 | 504 | 0.5202 | 0.4976 | 0.5202 | 0.7213 |
| 0.6292 | 0.8032 | 506 | 0.4973 | 0.4866 | 0.4973 | 0.7052 |
| 0.6292 | 0.8063 | 508 | 0.4584 | 0.4809 | 0.4584 | 0.6771 |
| 0.6292 | 0.8095 | 510 | 0.4525 | 0.4849 | 0.4525 | 0.6727 |
| 0.6292 | 0.8127 | 512 | 0.4407 | 0.5140 | 0.4407 | 0.6638 |
| 0.6292 | 0.8159 | 514 | 0.4345 | 0.5110 | 0.4345 | 0.6592 |
| 0.6292 | 0.8190 | 516 | 0.4602 | 0.4757 | 0.4602 | 0.6784 |
| 0.6292 | 0.8222 | 518 | 0.4409 | 0.5150 | 0.4409 | 0.6640 |
| 0.6292 | 0.8254 | 520 | 0.4801 | 0.5634 | 0.4801 | 0.6929 |
| 0.6292 | 0.8286 | 522 | 0.5027 | 0.5306 | 0.5027 | 0.7090 |
| 0.6292 | 0.8317 | 524 | 0.4951 | 0.5398 | 0.4951 | 0.7037 |
| 0.6292 | 0.8349 | 526 | 0.4882 | 0.4763 | 0.4882 | 0.6987 |
| 0.6292 | 0.8381 | 528 | 0.4680 | 0.5335 | 0.4680 | 0.6841 |
| 0.6292 | 0.8413 | 530 | 0.4481 | 0.5237 | 0.4481 | 0.6694 |
| 0.6292 | 0.8444 | 532 | 0.4580 | 0.4754 | 0.4580 | 0.6767 |
| 0.6292 | 0.8476 | 534 | 0.4757 | 0.4750 | 0.4757 | 0.6897 |
| 0.6292 | 0.8508 | 536 | 0.5345 | 0.4316 | 0.5345 | 0.7311 |
| 0.6292 | 0.8540 | 538 | 0.5105 | 0.4500 | 0.5105 | 0.7145 |
| 0.6292 | 0.8571 | 540 | 0.4952 | 0.4642 | 0.4952 | 0.7037 |
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_Aug_k40_task1_organization_fold1
Base model
google-bert/bert-base-uncased