Instructions to use MayBashendy/ASAP_FineTuningBERT_AugV4_k10_task1_organization_fold3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ASAP_FineTuningBERT_AugV4_k10_task1_organization_fold3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ASAP_FineTuningBERT_AugV4_k10_task1_organization_fold3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ASAP_FineTuningBERT_AugV4_k10_task1_organization_fold3") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ASAP_FineTuningBERT_AugV4_k10_task1_organization_fold3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ASAP_FineTuningBERT_AugV4_k10_task1_organization_fold3
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: 0.7914
- Qwk: 0.4017
- Mse: 0.7914
- Rmse: 0.8896
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 | 0.002 | 2 | 10.7493 | 0.0040 | 10.7493 | 3.2786 |
| No log | 0.004 | 4 | 9.6829 | -0.0011 | 9.6829 | 3.1117 |
| No log | 0.006 | 6 | 8.3238 | 0.0 | 8.3238 | 2.8851 |
| No log | 0.008 | 8 | 7.1708 | 0.0 | 7.1708 | 2.6778 |
| No log | 0.01 | 10 | 5.8370 | 0.0494 | 5.8370 | 2.4160 |
| No log | 0.012 | 12 | 4.7635 | 0.0137 | 4.7635 | 2.1826 |
| No log | 0.014 | 14 | 3.8240 | 0.0100 | 3.8240 | 1.9555 |
| No log | 0.016 | 16 | 3.0908 | 0.0076 | 3.0908 | 1.7581 |
| No log | 0.018 | 18 | 2.4161 | 0.1294 | 2.4161 | 1.5544 |
| No log | 0.02 | 20 | 1.8225 | 0.0432 | 1.8225 | 1.3500 |
| No log | 0.022 | 22 | 1.4312 | 0.0365 | 1.4312 | 1.1963 |
| No log | 0.024 | 24 | 1.2050 | 0.0202 | 1.2050 | 1.0977 |
| No log | 0.026 | 26 | 0.9904 | 0.0102 | 0.9904 | 0.9952 |
| No log | 0.028 | 28 | 0.8968 | 0.2267 | 0.8968 | 0.9470 |
| No log | 0.03 | 30 | 0.8551 | 0.0810 | 0.8551 | 0.9247 |
| No log | 0.032 | 32 | 0.8721 | 0.0570 | 0.8721 | 0.9339 |
| No log | 0.034 | 34 | 0.9169 | 0.0414 | 0.9169 | 0.9576 |
| No log | 0.036 | 36 | 1.0440 | 0.0314 | 1.0440 | 1.0218 |
| No log | 0.038 | 38 | 1.1137 | 0.0314 | 1.1137 | 1.0553 |
| No log | 0.04 | 40 | 1.0743 | 0.0 | 1.0743 | 1.0365 |
| No log | 0.042 | 42 | 1.0201 | 0.0004 | 1.0201 | 1.0100 |
| No log | 0.044 | 44 | 0.9651 | 0.0314 | 0.9651 | 0.9824 |
| No log | 0.046 | 46 | 0.9591 | 0.0414 | 0.9591 | 0.9794 |
| No log | 0.048 | 48 | 0.8483 | 0.0669 | 0.8483 | 0.9210 |
| No log | 0.05 | 50 | 0.9799 | 0.0504 | 0.9799 | 0.9899 |
| No log | 0.052 | 52 | 0.8969 | 0.0414 | 0.8969 | 0.9471 |
| No log | 0.054 | 54 | 1.0213 | 0.0571 | 1.0213 | 1.0106 |
| No log | 0.056 | 56 | 1.4258 | 0.1688 | 1.4258 | 1.1940 |
| No log | 0.058 | 58 | 1.3677 | 0.1888 | 1.3677 | 1.1695 |
| No log | 0.06 | 60 | 0.8972 | 0.0244 | 0.8972 | 0.9472 |
| No log | 0.062 | 62 | 0.9012 | 0.0087 | 0.9012 | 0.9493 |
| No log | 0.064 | 64 | 1.2113 | 0.0151 | 1.2113 | 1.1006 |
| No log | 0.066 | 66 | 1.3918 | 0.1202 | 1.3918 | 1.1797 |
| No log | 0.068 | 68 | 1.2457 | -0.0047 | 1.2457 | 1.1161 |
| No log | 0.07 | 70 | 1.0970 | 0.0 | 1.0970 | 1.0474 |
| No log | 0.072 | 72 | 0.9605 | 0.0 | 0.9605 | 0.9800 |
| No log | 0.074 | 74 | 0.9415 | 0.0 | 0.9415 | 0.9703 |
| No log | 0.076 | 76 | 1.0869 | 0.0 | 1.0869 | 1.0425 |
| No log | 0.078 | 78 | 1.3325 | 0.0794 | 1.3325 | 1.1543 |
| No log | 0.08 | 80 | 1.2986 | 0.0006 | 1.2986 | 1.1396 |
| No log | 0.082 | 82 | 1.0482 | 0.0 | 1.0482 | 1.0238 |
| No log | 0.084 | 84 | 1.0073 | 0.0 | 1.0073 | 1.0036 |
| No log | 0.086 | 86 | 1.0936 | 0.0 | 1.0936 | 1.0457 |
| No log | 0.088 | 88 | 1.1003 | 0.0 | 1.1003 | 1.0489 |
| No log | 0.09 | 90 | 0.9262 | 0.0157 | 0.9262 | 0.9624 |
| No log | 0.092 | 92 | 0.9341 | 0.1966 | 0.9341 | 0.9665 |
| No log | 0.094 | 94 | 0.8601 | 0.0808 | 0.8601 | 0.9274 |
| No log | 0.096 | 96 | 1.1414 | 0.0 | 1.1414 | 1.0683 |
| No log | 0.098 | 98 | 1.3246 | 0.0145 | 1.3246 | 1.1509 |
| No log | 0.1 | 100 | 1.2639 | -0.0017 | 1.2639 | 1.1242 |
| No log | 0.102 | 102 | 1.2556 | -0.0101 | 1.2556 | 1.1205 |
| No log | 0.104 | 104 | 1.3104 | 0.0960 | 1.3104 | 1.1447 |
| No log | 0.106 | 106 | 1.3687 | 0.0834 | 1.3687 | 1.1699 |
| No log | 0.108 | 108 | 1.5005 | 0.0688 | 1.5005 | 1.2249 |
| No log | 0.11 | 110 | 1.7084 | 0.0659 | 1.7084 | 1.3071 |
| No log | 0.112 | 112 | 1.7534 | 0.0693 | 1.7534 | 1.3242 |
| No log | 0.114 | 114 | 1.3826 | 0.0995 | 1.3826 | 1.1759 |
| No log | 0.116 | 116 | 1.1347 | 0.1341 | 1.1347 | 1.0652 |
| No log | 0.118 | 118 | 1.2773 | 0.0766 | 1.2773 | 1.1302 |
| No log | 0.12 | 120 | 1.4127 | 0.0805 | 1.4127 | 1.1886 |
| No log | 0.122 | 122 | 1.2301 | 0.1206 | 1.2301 | 1.1091 |
| No log | 0.124 | 124 | 1.1998 | 0.1074 | 1.1998 | 1.0954 |
| No log | 0.126 | 126 | 1.1496 | 0.1306 | 1.1496 | 1.0722 |
| No log | 0.128 | 128 | 1.4341 | 0.0834 | 1.4341 | 1.1975 |
| No log | 0.13 | 130 | 1.5860 | 0.0680 | 1.5860 | 1.2594 |
| No log | 0.132 | 132 | 1.5379 | 0.0811 | 1.5379 | 1.2401 |
| No log | 0.134 | 134 | 1.4940 | 0.0806 | 1.4940 | 1.2223 |
| No log | 0.136 | 136 | 1.5541 | 0.0758 | 1.5541 | 1.2466 |
| No log | 0.138 | 138 | 1.6454 | 0.0856 | 1.6454 | 1.2827 |
| No log | 0.14 | 140 | 1.5299 | 0.0809 | 1.5299 | 1.2369 |
| No log | 0.142 | 142 | 1.3453 | 0.1096 | 1.3453 | 1.1599 |
| No log | 0.144 | 144 | 1.2226 | 0.1835 | 1.2226 | 1.1057 |
| No log | 0.146 | 146 | 1.2006 | 0.1785 | 1.2006 | 1.0957 |
| No log | 0.148 | 148 | 1.2392 | 0.1478 | 1.2392 | 1.1132 |
| No log | 0.15 | 150 | 1.3258 | 0.1252 | 1.3258 | 1.1514 |
| No log | 0.152 | 152 | 1.5230 | 0.1187 | 1.5230 | 1.2341 |
| No log | 0.154 | 154 | 1.6508 | 0.1204 | 1.6508 | 1.2848 |
| No log | 0.156 | 156 | 1.4150 | 0.1406 | 1.4150 | 1.1896 |
| No log | 0.158 | 158 | 0.9716 | 0.0533 | 0.9716 | 0.9857 |
| No log | 0.16 | 160 | 0.8905 | 0.0955 | 0.8905 | 0.9436 |
| No log | 0.162 | 162 | 1.0956 | 0.1853 | 1.0956 | 1.0467 |
| No log | 0.164 | 164 | 1.5174 | 0.1369 | 1.5174 | 1.2318 |
| No log | 0.166 | 166 | 1.6238 | 0.1230 | 1.6238 | 1.2743 |
| No log | 0.168 | 168 | 1.3760 | 0.1760 | 1.3760 | 1.1730 |
| No log | 0.17 | 170 | 1.0728 | 0.1454 | 1.0728 | 1.0357 |
| No log | 0.172 | 172 | 0.8328 | 0.1548 | 0.8328 | 0.9126 |
| No log | 0.174 | 174 | 0.9007 | 0.2032 | 0.9007 | 0.9491 |
| No log | 0.176 | 176 | 0.8910 | 0.1963 | 0.8910 | 0.9439 |
| No log | 0.178 | 178 | 0.8774 | 0.0740 | 0.8774 | 0.9367 |
| No log | 0.18 | 180 | 1.0257 | 0.1519 | 1.0257 | 1.0128 |
| No log | 0.182 | 182 | 1.0176 | 0.1426 | 1.0176 | 1.0088 |
| No log | 0.184 | 184 | 1.0454 | 0.1229 | 1.0454 | 1.0224 |
| No log | 0.186 | 186 | 1.0372 | 0.1489 | 1.0372 | 1.0184 |
| No log | 0.188 | 188 | 0.9263 | 0.1295 | 0.9263 | 0.9624 |
| No log | 0.19 | 190 | 0.8793 | 0.0442 | 0.8793 | 0.9377 |
| No log | 0.192 | 192 | 0.9104 | 0.0954 | 0.9104 | 0.9541 |
| No log | 0.194 | 194 | 1.0633 | 0.1467 | 1.0633 | 1.0312 |
| No log | 0.196 | 196 | 1.0470 | 0.1462 | 1.0470 | 1.0232 |
| No log | 0.198 | 198 | 0.9118 | 0.0323 | 0.9118 | 0.9549 |
| No log | 0.2 | 200 | 0.8348 | 0.0157 | 0.8348 | 0.9137 |
| No log | 0.202 | 202 | 0.8718 | 0.2239 | 0.8718 | 0.9337 |
| No log | 0.204 | 204 | 0.8531 | 0.1512 | 0.8531 | 0.9236 |
| No log | 0.206 | 206 | 0.8352 | 0.0157 | 0.8352 | 0.9139 |
| No log | 0.208 | 208 | 0.8420 | 0.0 | 0.8420 | 0.9176 |
| No log | 0.21 | 210 | 0.8602 | 0.0005 | 0.8602 | 0.9275 |
| No log | 0.212 | 212 | 0.8163 | 0.0307 | 0.8163 | 0.9035 |
| No log | 0.214 | 214 | 0.8016 | 0.2007 | 0.8016 | 0.8953 |
| No log | 0.216 | 216 | 0.8008 | 0.2007 | 0.8008 | 0.8949 |
| No log | 0.218 | 218 | 0.8049 | 0.0750 | 0.8049 | 0.8972 |
| No log | 0.22 | 220 | 0.9266 | 0.1209 | 0.9266 | 0.9626 |
| No log | 0.222 | 222 | 1.0983 | 0.2022 | 1.0983 | 1.0480 |
| No log | 0.224 | 224 | 1.1488 | 0.1884 | 1.1488 | 1.0718 |
| No log | 0.226 | 226 | 1.0022 | 0.1948 | 1.0022 | 1.0011 |
| No log | 0.228 | 228 | 0.8127 | 0.2900 | 0.8127 | 0.9015 |
| No log | 0.23 | 230 | 0.7665 | 0.2917 | 0.7665 | 0.8755 |
| No log | 0.232 | 232 | 0.8054 | 0.2342 | 0.8054 | 0.8974 |
| No log | 0.234 | 234 | 0.9782 | 0.2348 | 0.9782 | 0.9890 |
| No log | 0.236 | 236 | 1.0586 | 0.2128 | 1.0586 | 1.0289 |
| No log | 0.238 | 238 | 0.9769 | 0.2320 | 0.9769 | 0.9884 |
| No log | 0.24 | 240 | 0.8541 | 0.2670 | 0.8541 | 0.9242 |
| No log | 0.242 | 242 | 0.8089 | 0.2598 | 0.8089 | 0.8994 |
| No log | 0.244 | 244 | 0.7313 | 0.3444 | 0.7313 | 0.8552 |
| No log | 0.246 | 246 | 0.7872 | 0.3285 | 0.7872 | 0.8872 |
| No log | 0.248 | 248 | 0.7700 | 0.3333 | 0.7700 | 0.8775 |
| No log | 0.25 | 250 | 0.7248 | 0.3355 | 0.7248 | 0.8513 |
| No log | 0.252 | 252 | 0.7927 | 0.3231 | 0.7927 | 0.8904 |
| No log | 0.254 | 254 | 0.7353 | 0.3198 | 0.7353 | 0.8575 |
| No log | 0.256 | 256 | 0.7039 | 0.3270 | 0.7039 | 0.8390 |
| No log | 0.258 | 258 | 0.7069 | 0.3179 | 0.7069 | 0.8408 |
| No log | 0.26 | 260 | 0.7106 | 0.3118 | 0.7106 | 0.8430 |
| No log | 0.262 | 262 | 0.7200 | 0.2725 | 0.7200 | 0.8485 |
| No log | 0.264 | 264 | 0.7221 | 0.2714 | 0.7221 | 0.8498 |
| No log | 0.266 | 266 | 0.7297 | 0.3238 | 0.7297 | 0.8542 |
| No log | 0.268 | 268 | 0.7236 | 0.3201 | 0.7236 | 0.8506 |
| No log | 0.27 | 270 | 0.7341 | 0.3149 | 0.7341 | 0.8568 |
| No log | 0.272 | 272 | 0.7740 | 0.3232 | 0.7740 | 0.8798 |
| No log | 0.274 | 274 | 0.7947 | 0.3102 | 0.7947 | 0.8915 |
| No log | 0.276 | 276 | 0.8651 | 0.2274 | 0.8651 | 0.9301 |
| No log | 0.278 | 278 | 0.9148 | 0.2002 | 0.9148 | 0.9564 |
| No log | 0.28 | 280 | 0.8501 | 0.2568 | 0.8501 | 0.9220 |
| No log | 0.282 | 282 | 0.7522 | 0.3388 | 0.7522 | 0.8673 |
| No log | 0.284 | 284 | 0.7228 | 0.3446 | 0.7228 | 0.8502 |
| No log | 0.286 | 286 | 0.7180 | 0.2437 | 0.7180 | 0.8474 |
| No log | 0.288 | 288 | 0.8092 | 0.2166 | 0.8092 | 0.8995 |
| No log | 0.29 | 290 | 0.9961 | 0.3054 | 0.9961 | 0.9980 |
| No log | 0.292 | 292 | 0.8987 | 0.2592 | 0.8987 | 0.9480 |
| No log | 0.294 | 294 | 0.7143 | 0.2616 | 0.7143 | 0.8452 |
| No log | 0.296 | 296 | 0.7832 | 0.3455 | 0.7832 | 0.8850 |
| No log | 0.298 | 298 | 0.7516 | 0.3214 | 0.7516 | 0.8669 |
| No log | 0.3 | 300 | 0.6964 | 0.3299 | 0.6964 | 0.8345 |
| No log | 0.302 | 302 | 0.9143 | 0.3485 | 0.9143 | 0.9562 |
| No log | 0.304 | 304 | 0.9549 | 0.3416 | 0.9549 | 0.9772 |
| No log | 0.306 | 306 | 0.7522 | 0.3587 | 0.7522 | 0.8673 |
| No log | 0.308 | 308 | 0.6154 | 0.4361 | 0.6154 | 0.7845 |
| No log | 0.31 | 310 | 0.6062 | 0.4497 | 0.6062 | 0.7786 |
| No log | 0.312 | 312 | 0.6456 | 0.4433 | 0.6456 | 0.8035 |
| No log | 0.314 | 314 | 0.8019 | 0.3857 | 0.8019 | 0.8955 |
| No log | 0.316 | 316 | 0.7213 | 0.4212 | 0.7213 | 0.8493 |
| No log | 0.318 | 318 | 0.6095 | 0.4961 | 0.6095 | 0.7807 |
| No log | 0.32 | 320 | 0.6128 | 0.5070 | 0.6128 | 0.7828 |
| No log | 0.322 | 322 | 0.7160 | 0.4404 | 0.7160 | 0.8462 |
| No log | 0.324 | 324 | 0.8025 | 0.4158 | 0.8025 | 0.8958 |
| No log | 0.326 | 326 | 0.6298 | 0.4122 | 0.6298 | 0.7936 |
| No log | 0.328 | 328 | 0.5971 | 0.4372 | 0.5971 | 0.7727 |
| No log | 0.33 | 330 | 0.6095 | 0.4412 | 0.6095 | 0.7807 |
| No log | 0.332 | 332 | 0.6118 | 0.4954 | 0.6118 | 0.7822 |
| No log | 0.334 | 334 | 0.6420 | 0.4955 | 0.6420 | 0.8013 |
| No log | 0.336 | 336 | 0.6488 | 0.4509 | 0.6488 | 0.8055 |
| No log | 0.338 | 338 | 0.6171 | 0.4589 | 0.6171 | 0.7856 |
| No log | 0.34 | 340 | 0.6169 | 0.4365 | 0.6169 | 0.7854 |
| No log | 0.342 | 342 | 0.7108 | 0.4425 | 0.7108 | 0.8431 |
| No log | 0.344 | 344 | 0.8270 | 0.4050 | 0.8270 | 0.9094 |
| No log | 0.346 | 346 | 0.6992 | 0.4543 | 0.6992 | 0.8362 |
| No log | 0.348 | 348 | 0.7160 | 0.4564 | 0.7160 | 0.8462 |
| No log | 0.35 | 350 | 0.7815 | 0.4377 | 0.7815 | 0.8840 |
| No log | 0.352 | 352 | 0.9030 | 0.4082 | 0.9030 | 0.9503 |
| No log | 0.354 | 354 | 0.6855 | 0.4958 | 0.6855 | 0.8280 |
| No log | 0.356 | 356 | 0.6695 | 0.5104 | 0.6695 | 0.8182 |
| No log | 0.358 | 358 | 0.6726 | 0.5098 | 0.6726 | 0.8201 |
| No log | 0.36 | 360 | 0.6907 | 0.4826 | 0.6907 | 0.8311 |
| No log | 0.362 | 362 | 0.5979 | 0.4814 | 0.5979 | 0.7732 |
| No log | 0.364 | 364 | 0.5905 | 0.4853 | 0.5905 | 0.7685 |
| No log | 0.366 | 366 | 0.6405 | 0.5103 | 0.6405 | 0.8003 |
| No log | 0.368 | 368 | 0.6527 | 0.5194 | 0.6527 | 0.8079 |
| No log | 0.37 | 370 | 0.6401 | 0.5115 | 0.6401 | 0.8001 |
| No log | 0.372 | 372 | 0.6117 | 0.4518 | 0.6117 | 0.7821 |
| No log | 0.374 | 374 | 0.6061 | 0.4517 | 0.6061 | 0.7785 |
| No log | 0.376 | 376 | 0.6997 | 0.4859 | 0.6997 | 0.8365 |
| No log | 0.378 | 378 | 0.7658 | 0.4741 | 0.7658 | 0.8751 |
| No log | 0.38 | 380 | 0.6240 | 0.5079 | 0.6240 | 0.7900 |
| No log | 0.382 | 382 | 0.6095 | 0.4759 | 0.6095 | 0.7807 |
| No log | 0.384 | 384 | 0.6220 | 0.4998 | 0.6220 | 0.7887 |
| No log | 0.386 | 386 | 0.6525 | 0.5146 | 0.6525 | 0.8078 |
| No log | 0.388 | 388 | 0.6313 | 0.4874 | 0.6313 | 0.7945 |
| No log | 0.39 | 390 | 0.6418 | 0.5162 | 0.6418 | 0.8011 |
| No log | 0.392 | 392 | 0.7571 | 0.4955 | 0.7571 | 0.8701 |
| No log | 0.394 | 394 | 0.7026 | 0.4999 | 0.7026 | 0.8382 |
| No log | 0.396 | 396 | 0.6311 | 0.4969 | 0.6311 | 0.7944 |
| No log | 0.398 | 398 | 0.6961 | 0.4871 | 0.6961 | 0.8343 |
| No log | 0.4 | 400 | 0.6885 | 0.4793 | 0.6885 | 0.8298 |
| No log | 0.402 | 402 | 0.6702 | 0.4794 | 0.6702 | 0.8187 |
| No log | 0.404 | 404 | 0.7086 | 0.4689 | 0.7086 | 0.8418 |
| No log | 0.406 | 406 | 0.7166 | 0.4740 | 0.7166 | 0.8465 |
| No log | 0.408 | 408 | 0.8183 | 0.4502 | 0.8183 | 0.9046 |
| No log | 0.41 | 410 | 0.7186 | 0.4962 | 0.7186 | 0.8477 |
| No log | 0.412 | 412 | 0.7282 | 0.4894 | 0.7282 | 0.8533 |
| No log | 0.414 | 414 | 0.7047 | 0.4973 | 0.7047 | 0.8395 |
| No log | 0.416 | 416 | 0.6212 | 0.4480 | 0.6212 | 0.7882 |
| No log | 0.418 | 418 | 0.6159 | 0.4358 | 0.6159 | 0.7848 |
| No log | 0.42 | 420 | 0.6270 | 0.4954 | 0.6270 | 0.7918 |
| No log | 0.422 | 422 | 0.7330 | 0.4886 | 0.7330 | 0.8561 |
| No log | 0.424 | 424 | 0.6514 | 0.5094 | 0.6514 | 0.8071 |
| No log | 0.426 | 426 | 0.6307 | 0.4245 | 0.6307 | 0.7942 |
| No log | 0.428 | 428 | 0.6228 | 0.4377 | 0.6228 | 0.7892 |
| No log | 0.43 | 430 | 0.6566 | 0.5001 | 0.6566 | 0.8103 |
| No log | 0.432 | 432 | 0.7945 | 0.4416 | 0.7945 | 0.8913 |
| No log | 0.434 | 434 | 0.7081 | 0.4969 | 0.7081 | 0.8415 |
| No log | 0.436 | 436 | 0.6270 | 0.4507 | 0.6270 | 0.7918 |
| No log | 0.438 | 438 | 0.6416 | 0.4640 | 0.6416 | 0.8010 |
| No log | 0.44 | 440 | 0.7029 | 0.4884 | 0.7029 | 0.8384 |
| No log | 0.442 | 442 | 0.7041 | 0.4891 | 0.7041 | 0.8391 |
| No log | 0.444 | 444 | 0.6797 | 0.4641 | 0.6797 | 0.8244 |
| No log | 0.446 | 446 | 0.6911 | 0.4790 | 0.6911 | 0.8313 |
| No log | 0.448 | 448 | 0.8377 | 0.4570 | 0.8377 | 0.9153 |
| No log | 0.45 | 450 | 0.8680 | 0.4632 | 0.8680 | 0.9317 |
| No log | 0.452 | 452 | 0.9447 | 0.4044 | 0.9447 | 0.9720 |
| No log | 0.454 | 454 | 0.7932 | 0.4512 | 0.7932 | 0.8906 |
| No log | 0.456 | 456 | 0.8156 | 0.4360 | 0.8156 | 0.9031 |
| No log | 0.458 | 458 | 0.9904 | 0.3851 | 0.9904 | 0.9952 |
| No log | 0.46 | 460 | 0.9502 | 0.3924 | 0.9502 | 0.9748 |
| No log | 0.462 | 462 | 0.9343 | 0.3864 | 0.9343 | 0.9666 |
| No log | 0.464 | 464 | 0.9052 | 0.3906 | 0.9052 | 0.9514 |
| No log | 0.466 | 466 | 1.0362 | 0.3710 | 1.0362 | 1.0179 |
| No log | 0.468 | 468 | 0.8070 | 0.4403 | 0.8070 | 0.8983 |
| No log | 0.47 | 470 | 0.6795 | 0.4898 | 0.6795 | 0.8243 |
| No log | 0.472 | 472 | 0.7260 | 0.4798 | 0.7260 | 0.8520 |
| No log | 0.474 | 474 | 0.9754 | 0.4206 | 0.9754 | 0.9876 |
| No log | 0.476 | 476 | 0.7324 | 0.4989 | 0.7324 | 0.8558 |
| No log | 0.478 | 478 | 0.6448 | 0.4872 | 0.6448 | 0.8030 |
| No log | 0.48 | 480 | 0.7227 | 0.4797 | 0.7227 | 0.8501 |
| No log | 0.482 | 482 | 0.9849 | 0.4153 | 0.9849 | 0.9924 |
| No log | 0.484 | 484 | 0.7630 | 0.4781 | 0.7630 | 0.8735 |
| No log | 0.486 | 486 | 0.8156 | 0.4656 | 0.8156 | 0.9031 |
| No log | 0.488 | 488 | 0.8352 | 0.4501 | 0.8352 | 0.9139 |
| No log | 0.49 | 490 | 0.8500 | 0.4507 | 0.8500 | 0.9219 |
| No log | 0.492 | 492 | 0.8022 | 0.4525 | 0.8022 | 0.8957 |
| No log | 0.494 | 494 | 1.0262 | 0.4103 | 1.0262 | 1.0130 |
| No log | 0.496 | 496 | 0.9717 | 0.4273 | 0.9717 | 0.9858 |
| No log | 0.498 | 498 | 0.7782 | 0.4540 | 0.7782 | 0.8822 |
| 1.0247 | 0.5 | 500 | 0.9122 | 0.4515 | 0.9122 | 0.9551 |
| 1.0247 | 0.502 | 502 | 1.2111 | 0.3792 | 1.2111 | 1.1005 |
| 1.0247 | 0.504 | 504 | 0.8469 | 0.4674 | 0.8469 | 0.9203 |
| 1.0247 | 0.506 | 506 | 0.6521 | 0.4275 | 0.6521 | 0.8075 |
| 1.0247 | 0.508 | 508 | 0.6555 | 0.4439 | 0.6555 | 0.8096 |
| 1.0247 | 0.51 | 510 | 0.9985 | 0.4203 | 0.9985 | 0.9993 |
| 1.0247 | 0.512 | 512 | 1.1860 | 0.3861 | 1.1860 | 1.0890 |
| 1.0247 | 0.514 | 514 | 0.8301 | 0.4516 | 0.8301 | 0.9111 |
| 1.0247 | 0.516 | 516 | 0.6669 | 0.4434 | 0.6669 | 0.8167 |
| 1.0247 | 0.518 | 518 | 0.6880 | 0.4756 | 0.6880 | 0.8295 |
| 1.0247 | 0.52 | 520 | 0.9152 | 0.4654 | 0.9152 | 0.9567 |
| 1.0247 | 0.522 | 522 | 0.8087 | 0.4788 | 0.8087 | 0.8993 |
| 1.0247 | 0.524 | 524 | 0.7028 | 0.4743 | 0.7028 | 0.8383 |
| 1.0247 | 0.526 | 526 | 0.7358 | 0.4812 | 0.7358 | 0.8578 |
| 1.0247 | 0.528 | 528 | 0.9576 | 0.4079 | 0.9576 | 0.9786 |
| 1.0247 | 0.53 | 530 | 0.9196 | 0.4336 | 0.9196 | 0.9589 |
| 1.0247 | 0.532 | 532 | 0.8346 | 0.4860 | 0.8346 | 0.9136 |
| 1.0247 | 0.534 | 534 | 0.7685 | 0.4258 | 0.7685 | 0.8766 |
| 1.0247 | 0.536 | 536 | 0.7953 | 0.4675 | 0.7953 | 0.8918 |
| 1.0247 | 0.538 | 538 | 1.0800 | 0.4407 | 1.0800 | 1.0392 |
| 1.0247 | 0.54 | 540 | 1.2154 | 0.4011 | 1.2154 | 1.1025 |
| 1.0247 | 0.542 | 542 | 0.8162 | 0.4799 | 0.8162 | 0.9034 |
| 1.0247 | 0.544 | 544 | 0.6911 | 0.4614 | 0.6911 | 0.8313 |
| 1.0247 | 0.546 | 546 | 0.8036 | 0.4642 | 0.8036 | 0.8964 |
| 1.0247 | 0.548 | 548 | 0.9373 | 0.4156 | 0.9373 | 0.9681 |
| 1.0247 | 0.55 | 550 | 0.7630 | 0.4716 | 0.7630 | 0.8735 |
| 1.0247 | 0.552 | 552 | 0.7202 | 0.4721 | 0.7202 | 0.8487 |
| 1.0247 | 0.554 | 554 | 0.8472 | 0.4519 | 0.8472 | 0.9204 |
| 1.0247 | 0.556 | 556 | 0.7661 | 0.4725 | 0.7661 | 0.8752 |
| 1.0247 | 0.558 | 558 | 0.7026 | 0.4207 | 0.7026 | 0.8382 |
| 1.0247 | 0.56 | 560 | 0.7791 | 0.4241 | 0.7791 | 0.8827 |
| 1.0247 | 0.562 | 562 | 1.1233 | 0.3726 | 1.1233 | 1.0598 |
| 1.0247 | 0.564 | 564 | 0.9951 | 0.4248 | 0.9951 | 0.9975 |
| 1.0247 | 0.566 | 566 | 0.7914 | 0.4017 | 0.7914 | 0.8896 |
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_k10_task1_organization_fold3
Base model
google-bert/bert-base-uncased