Instructions to use MayBashendy/ASAP_FineTuningBERT_Aug_k40_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_Aug_k40_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_Aug_k40_task1_organization_fold3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k40_task1_organization_fold3") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k40_task1_organization_fold3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ASAP_FineTuningBERT_Aug_k40_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: 0.5940
- Qwk: 0.4474
- Mse: 0.5940
- Rmse: 0.7707
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 | 0.0033 | 2 | 9.8280 | 0.0 | 9.8280 | 3.1350 |
| No log | 0.0065 | 4 | 7.8842 | 0.0162 | 7.8842 | 2.8079 |
| No log | 0.0098 | 6 | 6.3990 | 0.0 | 6.3990 | 2.5296 |
| No log | 0.0130 | 8 | 5.1852 | 0.0 | 5.1852 | 2.2771 |
| No log | 0.0163 | 10 | 4.2356 | 0.0054 | 4.2356 | 2.0581 |
| No log | 0.0195 | 12 | 3.2394 | 0.0137 | 3.2394 | 1.7998 |
| No log | 0.0228 | 14 | 2.4587 | 0.0038 | 2.4587 | 1.5680 |
| No log | 0.0260 | 16 | 1.8517 | 0.0 | 1.8517 | 1.3608 |
| No log | 0.0293 | 18 | 1.4080 | 0.1486 | 1.4080 | 1.1866 |
| No log | 0.0325 | 20 | 1.1413 | 0.0417 | 1.1413 | 1.0683 |
| No log | 0.0358 | 22 | 0.9955 | 0.0202 | 0.9955 | 0.9977 |
| No log | 0.0390 | 24 | 0.8537 | 0.0202 | 0.8537 | 0.9240 |
| No log | 0.0423 | 26 | 0.8631 | 0.0102 | 0.8631 | 0.9291 |
| No log | 0.0455 | 28 | 0.9577 | 0.0202 | 0.9577 | 0.9786 |
| No log | 0.0488 | 30 | 0.9609 | 0.0202 | 0.9609 | 0.9802 |
| No log | 0.0520 | 32 | 0.8735 | 0.0 | 0.8735 | 0.9346 |
| No log | 0.0553 | 34 | 0.9323 | 0.0 | 0.9323 | 0.9656 |
| No log | 0.0585 | 36 | 1.5750 | -0.0838 | 1.5750 | 1.2550 |
| No log | 0.0618 | 38 | 1.6720 | -0.0896 | 1.6720 | 1.2930 |
| No log | 0.0650 | 40 | 0.9956 | 0.0 | 0.9956 | 0.9978 |
| No log | 0.0683 | 42 | 0.9443 | 0.0 | 0.9443 | 0.9717 |
| No log | 0.0715 | 44 | 0.9934 | 0.0 | 0.9934 | 0.9967 |
| No log | 0.0748 | 46 | 0.9798 | 0.0 | 0.9798 | 0.9899 |
| No log | 0.0780 | 48 | 0.9180 | 0.0 | 0.9180 | 0.9581 |
| No log | 0.0813 | 50 | 0.9063 | 0.0 | 0.9063 | 0.9520 |
| No log | 0.0846 | 52 | 0.9290 | 0.0 | 0.9290 | 0.9638 |
| No log | 0.0878 | 54 | 0.9408 | 0.0 | 0.9408 | 0.9699 |
| No log | 0.0911 | 56 | 0.9915 | 0.0 | 0.9915 | 0.9957 |
| No log | 0.0943 | 58 | 1.0125 | 0.0 | 1.0125 | 1.0062 |
| No log | 0.0976 | 60 | 0.9510 | 0.0 | 0.9510 | 0.9752 |
| No log | 0.1008 | 62 | 0.9077 | 0.0 | 0.9077 | 0.9527 |
| No log | 0.1041 | 64 | 0.8984 | 0.0 | 0.8984 | 0.9478 |
| No log | 0.1073 | 66 | 0.9036 | 0.0 | 0.9036 | 0.9506 |
| No log | 0.1106 | 68 | 0.9302 | 0.0 | 0.9302 | 0.9644 |
| No log | 0.1138 | 70 | 0.9921 | 0.0 | 0.9921 | 0.9960 |
| No log | 0.1171 | 72 | 1.0047 | 0.0 | 1.0047 | 1.0023 |
| No log | 0.1203 | 74 | 0.9407 | 0.0 | 0.9407 | 0.9699 |
| No log | 0.1236 | 76 | 0.9206 | 0.0 | 0.9206 | 0.9595 |
| No log | 0.1268 | 78 | 0.8918 | 0.0 | 0.8918 | 0.9443 |
| No log | 0.1301 | 80 | 0.8687 | 0.0 | 0.8687 | 0.9321 |
| No log | 0.1333 | 82 | 0.8286 | 0.0 | 0.8286 | 0.9103 |
| No log | 0.1366 | 84 | 0.8069 | 0.0 | 0.8069 | 0.8983 |
| No log | 0.1398 | 86 | 0.8319 | 0.0102 | 0.8319 | 0.9121 |
| No log | 0.1431 | 88 | 0.8142 | 0.0 | 0.8142 | 0.9023 |
| No log | 0.1463 | 90 | 0.8143 | 0.0126 | 0.8143 | 0.9024 |
| No log | 0.1496 | 92 | 0.8193 | 0.0875 | 0.8193 | 0.9052 |
| No log | 0.1528 | 94 | 0.8141 | 0.0110 | 0.8141 | 0.9023 |
| No log | 0.1561 | 96 | 0.8293 | 0.0110 | 0.8293 | 0.9107 |
| No log | 0.1593 | 98 | 0.8198 | 0.0193 | 0.8198 | 0.9054 |
| No log | 0.1626 | 100 | 0.8037 | 0.1042 | 0.8037 | 0.8965 |
| No log | 0.1659 | 102 | 0.8072 | 0.0420 | 0.8072 | 0.8984 |
| No log | 0.1691 | 104 | 0.8479 | 0.0 | 0.8479 | 0.9208 |
| No log | 0.1724 | 106 | 0.8313 | 0.0 | 0.8313 | 0.9117 |
| No log | 0.1756 | 108 | 0.7926 | 0.0009 | 0.7926 | 0.8903 |
| No log | 0.1789 | 110 | 0.7830 | 0.0174 | 0.7830 | 0.8849 |
| No log | 0.1821 | 112 | 0.7738 | 0.2286 | 0.7738 | 0.8797 |
| No log | 0.1854 | 114 | 0.7780 | 0.2790 | 0.7780 | 0.8821 |
| No log | 0.1886 | 116 | 0.7788 | 0.3083 | 0.7788 | 0.8825 |
| No log | 0.1919 | 118 | 0.7589 | 0.1116 | 0.7589 | 0.8711 |
| No log | 0.1951 | 120 | 0.7985 | 0.0082 | 0.7985 | 0.8936 |
| No log | 0.1984 | 122 | 0.7767 | 0.0174 | 0.7767 | 0.8813 |
| No log | 0.2016 | 124 | 0.7545 | 0.2514 | 0.7545 | 0.8686 |
| No log | 0.2049 | 126 | 0.7438 | 0.2783 | 0.7438 | 0.8624 |
| No log | 0.2081 | 128 | 0.7362 | 0.3006 | 0.7362 | 0.8580 |
| No log | 0.2114 | 130 | 0.7286 | 0.3182 | 0.7286 | 0.8536 |
| No log | 0.2146 | 132 | 0.7113 | 0.2678 | 0.7113 | 0.8434 |
| No log | 0.2179 | 134 | 0.7183 | 0.3581 | 0.7183 | 0.8475 |
| No log | 0.2211 | 136 | 0.7523 | 0.3696 | 0.7523 | 0.8674 |
| No log | 0.2244 | 138 | 0.6806 | 0.3442 | 0.6806 | 0.8250 |
| No log | 0.2276 | 140 | 0.6619 | 0.1762 | 0.6619 | 0.8136 |
| No log | 0.2309 | 142 | 0.6369 | 0.3063 | 0.6369 | 0.7981 |
| No log | 0.2341 | 144 | 0.6250 | 0.3667 | 0.6250 | 0.7906 |
| No log | 0.2374 | 146 | 0.6358 | 0.3852 | 0.6358 | 0.7974 |
| No log | 0.2407 | 148 | 0.6518 | 0.3988 | 0.6518 | 0.8074 |
| No log | 0.2439 | 150 | 0.6508 | 0.3825 | 0.6508 | 0.8068 |
| No log | 0.2472 | 152 | 0.6230 | 0.3369 | 0.6230 | 0.7893 |
| No log | 0.2504 | 154 | 0.6665 | 0.1868 | 0.6665 | 0.8164 |
| No log | 0.2537 | 156 | 0.6700 | 0.1648 | 0.6700 | 0.8185 |
| No log | 0.2569 | 158 | 0.6956 | 0.3505 | 0.6956 | 0.8340 |
| No log | 0.2602 | 160 | 0.7522 | 0.3653 | 0.7522 | 0.8673 |
| No log | 0.2634 | 162 | 0.7340 | 0.3449 | 0.7340 | 0.8567 |
| No log | 0.2667 | 164 | 0.7142 | 0.1175 | 0.7142 | 0.8451 |
| No log | 0.2699 | 166 | 0.7228 | 0.0789 | 0.7228 | 0.8502 |
| No log | 0.2732 | 168 | 0.7183 | 0.1939 | 0.7183 | 0.8475 |
| No log | 0.2764 | 170 | 0.7082 | 0.2445 | 0.7082 | 0.8416 |
| No log | 0.2797 | 172 | 0.7348 | 0.0567 | 0.7348 | 0.8572 |
| No log | 0.2829 | 174 | 0.7615 | 0.0339 | 0.7615 | 0.8726 |
| No log | 0.2862 | 176 | 0.7393 | 0.2047 | 0.7393 | 0.8598 |
| No log | 0.2894 | 178 | 0.7736 | 0.4271 | 0.7736 | 0.8796 |
| No log | 0.2927 | 180 | 0.7517 | 0.4483 | 0.7517 | 0.8670 |
| No log | 0.2959 | 182 | 0.6828 | 0.2631 | 0.6828 | 0.8263 |
| No log | 0.2992 | 184 | 0.6932 | 0.0910 | 0.6932 | 0.8326 |
| No log | 0.3024 | 186 | 0.6915 | 0.1173 | 0.6915 | 0.8316 |
| No log | 0.3057 | 188 | 0.6837 | 0.2426 | 0.6837 | 0.8268 |
| No log | 0.3089 | 190 | 0.6885 | 0.3003 | 0.6885 | 0.8298 |
| No log | 0.3122 | 192 | 0.7005 | 0.4008 | 0.7005 | 0.8370 |
| No log | 0.3154 | 194 | 0.7083 | 0.4157 | 0.7083 | 0.8416 |
| No log | 0.3187 | 196 | 0.6386 | 0.3240 | 0.6386 | 0.7991 |
| No log | 0.3220 | 198 | 0.6038 | 0.2881 | 0.6038 | 0.7770 |
| No log | 0.3252 | 200 | 0.5899 | 0.2995 | 0.5899 | 0.7680 |
| No log | 0.3285 | 202 | 0.5658 | 0.3379 | 0.5658 | 0.7522 |
| No log | 0.3317 | 204 | 0.6175 | 0.3986 | 0.6175 | 0.7858 |
| No log | 0.3350 | 206 | 0.7193 | 0.3634 | 0.7193 | 0.8481 |
| No log | 0.3382 | 208 | 0.5952 | 0.3381 | 0.5952 | 0.7715 |
| No log | 0.3415 | 210 | 0.6974 | 0.2492 | 0.6974 | 0.8351 |
| No log | 0.3447 | 212 | 0.6851 | 0.2279 | 0.6851 | 0.8277 |
| No log | 0.3480 | 214 | 0.6217 | 0.2676 | 0.6217 | 0.7885 |
| No log | 0.3512 | 216 | 0.9429 | 0.1617 | 0.9429 | 0.9710 |
| No log | 0.3545 | 218 | 1.2167 | 0.0248 | 1.2167 | 1.1031 |
| No log | 0.3577 | 220 | 0.8449 | 0.1254 | 0.8449 | 0.9192 |
| No log | 0.3610 | 222 | 0.7586 | 0.0184 | 0.7586 | 0.8710 |
| No log | 0.3642 | 224 | 0.7805 | 0.0202 | 0.7805 | 0.8835 |
| No log | 0.3675 | 226 | 0.7527 | 0.0202 | 0.7527 | 0.8676 |
| No log | 0.3707 | 228 | 0.7004 | 0.1163 | 0.7004 | 0.8369 |
| No log | 0.3740 | 230 | 0.6983 | 0.2532 | 0.6983 | 0.8356 |
| No log | 0.3772 | 232 | 0.7221 | 0.3849 | 0.7221 | 0.8498 |
| No log | 0.3805 | 234 | 0.7238 | 0.4289 | 0.7238 | 0.8508 |
| No log | 0.3837 | 236 | 0.6739 | 0.3213 | 0.6739 | 0.8209 |
| No log | 0.3870 | 238 | 0.6465 | 0.1658 | 0.6465 | 0.8040 |
| No log | 0.3902 | 240 | 0.6441 | 0.1929 | 0.6441 | 0.8026 |
| No log | 0.3935 | 242 | 0.6133 | 0.2772 | 0.6133 | 0.7832 |
| No log | 0.3967 | 244 | 0.6556 | 0.4135 | 0.6556 | 0.8097 |
| No log | 0.4 | 246 | 0.6654 | 0.4106 | 0.6654 | 0.8157 |
| No log | 0.4033 | 248 | 0.6343 | 0.3615 | 0.6343 | 0.7964 |
| No log | 0.4065 | 250 | 0.6444 | 0.4038 | 0.6444 | 0.8027 |
| No log | 0.4098 | 252 | 0.6834 | 0.4539 | 0.6834 | 0.8267 |
| No log | 0.4130 | 254 | 0.6738 | 0.4392 | 0.6738 | 0.8208 |
| No log | 0.4163 | 256 | 0.7183 | 0.4504 | 0.7183 | 0.8475 |
| No log | 0.4195 | 258 | 0.7256 | 0.4296 | 0.7256 | 0.8518 |
| No log | 0.4228 | 260 | 0.6494 | 0.4684 | 0.6494 | 0.8058 |
| No log | 0.4260 | 262 | 0.6734 | 0.4677 | 0.6734 | 0.8206 |
| No log | 0.4293 | 264 | 0.7009 | 0.4455 | 0.7009 | 0.8372 |
| No log | 0.4325 | 266 | 0.6233 | 0.4617 | 0.6233 | 0.7895 |
| No log | 0.4358 | 268 | 0.6101 | 0.4488 | 0.6101 | 0.7811 |
| No log | 0.4390 | 270 | 0.6498 | 0.4439 | 0.6498 | 0.8061 |
| No log | 0.4423 | 272 | 0.5969 | 0.4444 | 0.5969 | 0.7726 |
| No log | 0.4455 | 274 | 0.6119 | 0.4645 | 0.6119 | 0.7823 |
| No log | 0.4488 | 276 | 0.6208 | 0.4751 | 0.6208 | 0.7879 |
| No log | 0.4520 | 278 | 0.6315 | 0.4936 | 0.6315 | 0.7947 |
| No log | 0.4553 | 280 | 0.6343 | 0.5003 | 0.6343 | 0.7964 |
| No log | 0.4585 | 282 | 0.5705 | 0.5242 | 0.5705 | 0.7553 |
| No log | 0.4618 | 284 | 0.5711 | 0.5226 | 0.5711 | 0.7557 |
| No log | 0.4650 | 286 | 0.7045 | 0.4937 | 0.7045 | 0.8393 |
| No log | 0.4683 | 288 | 0.7194 | 0.4873 | 0.7194 | 0.8482 |
| No log | 0.4715 | 290 | 0.5407 | 0.5379 | 0.5407 | 0.7353 |
| No log | 0.4748 | 292 | 0.5240 | 0.5395 | 0.5240 | 0.7238 |
| No log | 0.4780 | 294 | 0.5589 | 0.5362 | 0.5589 | 0.7476 |
| No log | 0.4813 | 296 | 0.5896 | 0.5239 | 0.5896 | 0.7678 |
| No log | 0.4846 | 298 | 0.5465 | 0.5032 | 0.5465 | 0.7392 |
| No log | 0.4878 | 300 | 0.6332 | 0.4975 | 0.6332 | 0.7957 |
| No log | 0.4911 | 302 | 0.8441 | 0.4288 | 0.8441 | 0.9188 |
| No log | 0.4943 | 304 | 0.7489 | 0.4658 | 0.7489 | 0.8654 |
| No log | 0.4976 | 306 | 0.5632 | 0.4705 | 0.5632 | 0.7504 |
| No log | 0.5008 | 308 | 0.5908 | 0.3251 | 0.5908 | 0.7686 |
| No log | 0.5041 | 310 | 0.6097 | 0.2764 | 0.6097 | 0.7808 |
| No log | 0.5073 | 312 | 0.6635 | 0.4055 | 0.6635 | 0.8146 |
| No log | 0.5106 | 314 | 0.7223 | 0.4425 | 0.7223 | 0.8499 |
| No log | 0.5138 | 316 | 0.7923 | 0.4143 | 0.7923 | 0.8901 |
| No log | 0.5171 | 318 | 0.6973 | 0.4616 | 0.6973 | 0.8351 |
| No log | 0.5203 | 320 | 0.6106 | 0.4585 | 0.6106 | 0.7814 |
| No log | 0.5236 | 322 | 0.6431 | 0.4933 | 0.6431 | 0.8020 |
| No log | 0.5268 | 324 | 0.5937 | 0.5315 | 0.5937 | 0.7705 |
| No log | 0.5301 | 326 | 0.5311 | 0.4397 | 0.5311 | 0.7288 |
| No log | 0.5333 | 328 | 0.5357 | 0.4407 | 0.5357 | 0.7319 |
| No log | 0.5366 | 330 | 0.5930 | 0.4954 | 0.5930 | 0.7700 |
| No log | 0.5398 | 332 | 0.8120 | 0.4159 | 0.8120 | 0.9011 |
| No log | 0.5431 | 334 | 0.7952 | 0.4289 | 0.7952 | 0.8917 |
| No log | 0.5463 | 336 | 0.6250 | 0.4437 | 0.6250 | 0.7906 |
| No log | 0.5496 | 338 | 0.5842 | 0.3061 | 0.5842 | 0.7643 |
| No log | 0.5528 | 340 | 0.5999 | 0.2662 | 0.5999 | 0.7745 |
| No log | 0.5561 | 342 | 0.6019 | 0.2831 | 0.6019 | 0.7758 |
| No log | 0.5593 | 344 | 0.6488 | 0.4307 | 0.6488 | 0.8055 |
| No log | 0.5626 | 346 | 0.6943 | 0.4455 | 0.6943 | 0.8332 |
| No log | 0.5659 | 348 | 0.6549 | 0.4277 | 0.6549 | 0.8093 |
| No log | 0.5691 | 350 | 0.6053 | 0.2975 | 0.6053 | 0.7780 |
| No log | 0.5724 | 352 | 0.5965 | 0.2921 | 0.5965 | 0.7724 |
| No log | 0.5756 | 354 | 0.5803 | 0.3740 | 0.5803 | 0.7618 |
| No log | 0.5789 | 356 | 0.7094 | 0.4406 | 0.7094 | 0.8423 |
| No log | 0.5821 | 358 | 0.8661 | 0.4149 | 0.8661 | 0.9307 |
| No log | 0.5854 | 360 | 0.7912 | 0.4635 | 0.7912 | 0.8895 |
| No log | 0.5886 | 362 | 0.6034 | 0.4951 | 0.6034 | 0.7768 |
| No log | 0.5919 | 364 | 0.5371 | 0.4223 | 0.5371 | 0.7329 |
| No log | 0.5951 | 366 | 0.5429 | 0.4002 | 0.5429 | 0.7368 |
| No log | 0.5984 | 368 | 0.5444 | 0.4827 | 0.5444 | 0.7379 |
| No log | 0.6016 | 370 | 0.6765 | 0.4957 | 0.6765 | 0.8225 |
| No log | 0.6049 | 372 | 0.8857 | 0.4147 | 0.8857 | 0.9411 |
| No log | 0.6081 | 374 | 0.8485 | 0.4278 | 0.8485 | 0.9212 |
| No log | 0.6114 | 376 | 0.6644 | 0.4761 | 0.6644 | 0.8151 |
| No log | 0.6146 | 378 | 0.5593 | 0.4031 | 0.5593 | 0.7479 |
| No log | 0.6179 | 380 | 0.6223 | 0.3338 | 0.6223 | 0.7889 |
| No log | 0.6211 | 382 | 0.6897 | 0.3238 | 0.6897 | 0.8305 |
| No log | 0.6244 | 384 | 0.6354 | 0.3185 | 0.6354 | 0.7971 |
| No log | 0.6276 | 386 | 0.5708 | 0.3777 | 0.5708 | 0.7555 |
| No log | 0.6309 | 388 | 0.6112 | 0.4198 | 0.6112 | 0.7818 |
| No log | 0.6341 | 390 | 0.6397 | 0.4126 | 0.6397 | 0.7998 |
| No log | 0.6374 | 392 | 0.5910 | 0.4154 | 0.5910 | 0.7687 |
| No log | 0.6407 | 394 | 0.5574 | 0.3774 | 0.5574 | 0.7466 |
| No log | 0.6439 | 396 | 0.5498 | 0.3828 | 0.5498 | 0.7415 |
| No log | 0.6472 | 398 | 0.5456 | 0.4216 | 0.5456 | 0.7386 |
| No log | 0.6504 | 400 | 0.5329 | 0.4426 | 0.5329 | 0.7300 |
| No log | 0.6537 | 402 | 0.5345 | 0.4633 | 0.5345 | 0.7311 |
| No log | 0.6569 | 404 | 0.5425 | 0.4879 | 0.5425 | 0.7366 |
| No log | 0.6602 | 406 | 0.5563 | 0.5208 | 0.5563 | 0.7459 |
| No log | 0.6634 | 408 | 0.5121 | 0.4907 | 0.5121 | 0.7156 |
| No log | 0.6667 | 410 | 0.5154 | 0.4665 | 0.5154 | 0.7179 |
| No log | 0.6699 | 412 | 0.5290 | 0.4801 | 0.5290 | 0.7273 |
| No log | 0.6732 | 414 | 0.6556 | 0.4955 | 0.6556 | 0.8097 |
| No log | 0.6764 | 416 | 0.7097 | 0.5064 | 0.7097 | 0.8424 |
| No log | 0.6797 | 418 | 0.6274 | 0.4823 | 0.6274 | 0.7921 |
| No log | 0.6829 | 420 | 0.5332 | 0.4722 | 0.5332 | 0.7302 |
| No log | 0.6862 | 422 | 0.5328 | 0.4437 | 0.5328 | 0.7299 |
| No log | 0.6894 | 424 | 0.5329 | 0.4899 | 0.5329 | 0.7300 |
| No log | 0.6927 | 426 | 0.6415 | 0.4938 | 0.6415 | 0.8009 |
| No log | 0.6959 | 428 | 0.8103 | 0.4836 | 0.8103 | 0.9002 |
| No log | 0.6992 | 430 | 0.7751 | 0.4902 | 0.7751 | 0.8804 |
| No log | 0.7024 | 432 | 0.5971 | 0.5222 | 0.5971 | 0.7727 |
| No log | 0.7057 | 434 | 0.5276 | 0.4933 | 0.5276 | 0.7263 |
| No log | 0.7089 | 436 | 0.5303 | 0.4879 | 0.5303 | 0.7282 |
| No log | 0.7122 | 438 | 0.5715 | 0.4914 | 0.5715 | 0.7560 |
| No log | 0.7154 | 440 | 0.6821 | 0.4900 | 0.6821 | 0.8259 |
| No log | 0.7187 | 442 | 0.6685 | 0.5126 | 0.6685 | 0.8176 |
| No log | 0.7220 | 444 | 0.5828 | 0.4644 | 0.5828 | 0.7634 |
| No log | 0.7252 | 446 | 0.5350 | 0.4595 | 0.5350 | 0.7314 |
| No log | 0.7285 | 448 | 0.5316 | 0.4576 | 0.5316 | 0.7291 |
| No log | 0.7317 | 450 | 0.5450 | 0.4750 | 0.5450 | 0.7382 |
| No log | 0.7350 | 452 | 0.5722 | 0.5073 | 0.5722 | 0.7564 |
| No log | 0.7382 | 454 | 0.6730 | 0.4898 | 0.6730 | 0.8204 |
| No log | 0.7415 | 456 | 0.6926 | 0.4983 | 0.6926 | 0.8322 |
| No log | 0.7447 | 458 | 0.5800 | 0.5097 | 0.5800 | 0.7616 |
| No log | 0.7480 | 460 | 0.5250 | 0.5067 | 0.5250 | 0.7246 |
| No log | 0.7512 | 462 | 0.5323 | 0.5132 | 0.5323 | 0.7296 |
| No log | 0.7545 | 464 | 0.6015 | 0.5249 | 0.6015 | 0.7756 |
| No log | 0.7577 | 466 | 0.6252 | 0.5174 | 0.6252 | 0.7907 |
| No log | 0.7610 | 468 | 0.6421 | 0.5209 | 0.6421 | 0.8013 |
| No log | 0.7642 | 470 | 0.5602 | 0.5451 | 0.5602 | 0.7485 |
| No log | 0.7675 | 472 | 0.5605 | 0.5457 | 0.5605 | 0.7487 |
| No log | 0.7707 | 474 | 0.6502 | 0.5225 | 0.6502 | 0.8063 |
| No log | 0.7740 | 476 | 0.6380 | 0.5321 | 0.6380 | 0.7988 |
| No log | 0.7772 | 478 | 0.6342 | 0.5126 | 0.6342 | 0.7964 |
| No log | 0.7805 | 480 | 0.6271 | 0.4962 | 0.6271 | 0.7919 |
| No log | 0.7837 | 482 | 0.6741 | 0.4502 | 0.6741 | 0.8210 |
| No log | 0.7870 | 484 | 0.6305 | 0.4725 | 0.6305 | 0.7940 |
| No log | 0.7902 | 486 | 0.5823 | 0.4695 | 0.5823 | 0.7631 |
| No log | 0.7935 | 488 | 0.5622 | 0.4725 | 0.5622 | 0.7498 |
| No log | 0.7967 | 490 | 0.6018 | 0.5096 | 0.6018 | 0.7758 |
| No log | 0.8 | 492 | 0.7127 | 0.4732 | 0.7127 | 0.8442 |
| No log | 0.8033 | 494 | 0.6445 | 0.5183 | 0.6445 | 0.8028 |
| No log | 0.8065 | 496 | 0.6629 | 0.5258 | 0.6629 | 0.8142 |
| No log | 0.8098 | 498 | 0.6493 | 0.5214 | 0.6493 | 0.8058 |
| 0.4845 | 0.8130 | 500 | 0.5611 | 0.5098 | 0.5611 | 0.7491 |
| 0.4845 | 0.8163 | 502 | 0.5779 | 0.5112 | 0.5779 | 0.7602 |
| 0.4845 | 0.8195 | 504 | 0.6916 | 0.4857 | 0.6916 | 0.8316 |
| 0.4845 | 0.8228 | 506 | 0.7736 | 0.5073 | 0.7736 | 0.8796 |
| 0.4845 | 0.8260 | 508 | 0.7244 | 0.5267 | 0.7244 | 0.8511 |
| 0.4845 | 0.8293 | 510 | 0.7107 | 0.5547 | 0.7107 | 0.8430 |
| 0.4845 | 0.8325 | 512 | 0.5751 | 0.5477 | 0.5751 | 0.7584 |
| 0.4845 | 0.8358 | 514 | 0.5801 | 0.5486 | 0.5801 | 0.7617 |
| 0.4845 | 0.8390 | 516 | 0.7720 | 0.5985 | 0.7720 | 0.8786 |
| 0.4845 | 0.8423 | 518 | 0.8193 | 0.6019 | 0.8193 | 0.9051 |
| 0.4845 | 0.8455 | 520 | 0.6077 | 0.5650 | 0.6077 | 0.7795 |
| 0.4845 | 0.8488 | 522 | 0.5748 | 0.5477 | 0.5748 | 0.7581 |
| 0.4845 | 0.8520 | 524 | 0.5997 | 0.5766 | 0.5997 | 0.7744 |
| 0.4845 | 0.8553 | 526 | 0.6785 | 0.5816 | 0.6785 | 0.8237 |
| 0.4845 | 0.8585 | 528 | 0.6462 | 0.5800 | 0.6462 | 0.8039 |
| 0.4845 | 0.8618 | 530 | 0.6101 | 0.5600 | 0.6101 | 0.7811 |
| 0.4845 | 0.8650 | 532 | 0.5479 | 0.5350 | 0.5479 | 0.7402 |
| 0.4845 | 0.8683 | 534 | 0.5602 | 0.5441 | 0.5602 | 0.7485 |
| 0.4845 | 0.8715 | 536 | 0.6480 | 0.5540 | 0.6480 | 0.8050 |
| 0.4845 | 0.8748 | 538 | 0.6611 | 0.5452 | 0.6611 | 0.8131 |
| 0.4845 | 0.8780 | 540 | 0.6301 | 0.5459 | 0.6301 | 0.7938 |
| 0.4845 | 0.8813 | 542 | 0.5686 | 0.4998 | 0.5686 | 0.7541 |
| 0.4845 | 0.8846 | 544 | 0.5647 | 0.5218 | 0.5647 | 0.7515 |
| 0.4845 | 0.8878 | 546 | 0.6392 | 0.5484 | 0.6392 | 0.7995 |
| 0.4845 | 0.8911 | 548 | 0.8241 | 0.5954 | 0.8241 | 0.9078 |
| 0.4845 | 0.8943 | 550 | 0.8256 | 0.5790 | 0.8256 | 0.9086 |
| 0.4845 | 0.8976 | 552 | 0.6322 | 0.5247 | 0.6322 | 0.7951 |
| 0.4845 | 0.9008 | 554 | 0.5692 | 0.5010 | 0.5692 | 0.7545 |
| 0.4845 | 0.9041 | 556 | 0.5806 | 0.4961 | 0.5806 | 0.7620 |
| 0.4845 | 0.9073 | 558 | 0.7057 | 0.5159 | 0.7057 | 0.8400 |
| 0.4845 | 0.9106 | 560 | 0.7210 | 0.5035 | 0.7210 | 0.8491 |
| 0.4845 | 0.9138 | 562 | 0.6079 | 0.4623 | 0.6079 | 0.7797 |
| 0.4845 | 0.9171 | 564 | 0.5804 | 0.4078 | 0.5804 | 0.7618 |
| 0.4845 | 0.9203 | 566 | 0.5836 | 0.4092 | 0.5836 | 0.7640 |
| 0.4845 | 0.9236 | 568 | 0.5940 | 0.4474 | 0.5940 | 0.7707 |
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_fold3
Base model
google-bert/bert-base-uncased