Instructions to use MayBashendy/ASAP_FineTuningBERT_Aug_k35_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_k35_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_k35_task1_organization_fold1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k35_task1_organization_fold1") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k35_task1_organization_fold1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ASAP_FineTuningBERT_Aug_k35_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: 0.6348
- Qwk: 0.5827
- Mse: 0.6348
- Rmse: 0.7967
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 | 0.0036 | 2 | 10.4078 | 0.0 | 10.4078 | 3.2261 |
| No log | 0.0072 | 4 | 7.7067 | 0.0216 | 7.7067 | 2.7761 |
| No log | 0.0108 | 6 | 6.8190 | 0.0018 | 6.8190 | 2.6113 |
| No log | 0.0144 | 8 | 5.9173 | 0.0 | 5.9173 | 2.4325 |
| No log | 0.0180 | 10 | 5.2505 | 0.0 | 5.2505 | 2.2914 |
| No log | 0.0216 | 12 | 4.5423 | 0.0 | 4.5423 | 2.1313 |
| No log | 0.0252 | 14 | 3.7364 | 0.0148 | 3.7364 | 1.9330 |
| No log | 0.0288 | 16 | 3.0722 | 0.0128 | 3.0722 | 1.7528 |
| No log | 0.0324 | 18 | 2.5121 | 0.0040 | 2.5121 | 1.5850 |
| No log | 0.0360 | 20 | 2.0162 | 0.0 | 2.0162 | 1.4199 |
| No log | 0.0396 | 22 | 1.6393 | 0.0 | 1.6393 | 1.2803 |
| No log | 0.0432 | 24 | 1.3365 | 0.1140 | 1.3365 | 1.1561 |
| No log | 0.0468 | 26 | 1.1384 | 0.0211 | 1.1384 | 1.0670 |
| No log | 0.0504 | 28 | 0.9815 | 0.0106 | 0.9815 | 0.9907 |
| No log | 0.0540 | 30 | 0.9036 | 0.0 | 0.9036 | 0.9506 |
| No log | 0.0576 | 32 | 0.9018 | 0.0 | 0.9018 | 0.9496 |
| No log | 0.0612 | 34 | 0.9276 | 0.0 | 0.9276 | 0.9631 |
| No log | 0.0647 | 36 | 0.8706 | 0.0 | 0.8706 | 0.9331 |
| No log | 0.0683 | 38 | 0.8575 | 0.0 | 0.8575 | 0.9260 |
| No log | 0.0719 | 40 | 0.8527 | 0.0 | 0.8527 | 0.9234 |
| No log | 0.0755 | 42 | 0.9834 | -0.0060 | 0.9834 | 0.9917 |
| No log | 0.0791 | 44 | 0.9865 | 0.0 | 0.9865 | 0.9932 |
| No log | 0.0827 | 46 | 0.8625 | 0.0 | 0.8625 | 0.9287 |
| No log | 0.0863 | 48 | 0.8562 | 0.0 | 0.8562 | 0.9253 |
| No log | 0.0899 | 50 | 0.8528 | 0.0 | 0.8528 | 0.9235 |
| No log | 0.0935 | 52 | 0.9113 | 0.0 | 0.9113 | 0.9546 |
| No log | 0.0971 | 54 | 1.0349 | 0.0 | 1.0349 | 1.0173 |
| No log | 0.1007 | 56 | 1.0130 | 0.0 | 1.0130 | 1.0065 |
| No log | 0.1043 | 58 | 0.9439 | 0.0 | 0.9439 | 0.9716 |
| No log | 0.1079 | 60 | 0.8848 | 0.0 | 0.8848 | 0.9406 |
| No log | 0.1115 | 62 | 0.8398 | 0.0 | 0.8398 | 0.9164 |
| No log | 0.1151 | 64 | 0.8577 | 0.0 | 0.8577 | 0.9261 |
| No log | 0.1187 | 66 | 0.8400 | 0.1391 | 0.8400 | 0.9165 |
| No log | 0.1223 | 68 | 0.7914 | 0.0158 | 0.7914 | 0.8896 |
| No log | 0.1259 | 70 | 0.8414 | 0.1735 | 0.8414 | 0.9173 |
| No log | 0.1295 | 72 | 0.8480 | 0.0315 | 0.8480 | 0.9209 |
| No log | 0.1331 | 74 | 0.8258 | 0.0106 | 0.8258 | 0.9087 |
| No log | 0.1367 | 76 | 0.8067 | 0.0106 | 0.8067 | 0.8982 |
| No log | 0.1403 | 78 | 0.7903 | 0.0106 | 0.7903 | 0.8890 |
| No log | 0.1439 | 80 | 0.7754 | 0.0106 | 0.7754 | 0.8806 |
| No log | 0.1475 | 82 | 0.7782 | 0.0211 | 0.7782 | 0.8821 |
| No log | 0.1511 | 84 | 0.7636 | 0.0276 | 0.7636 | 0.8738 |
| No log | 0.1547 | 86 | 0.7543 | 0.0211 | 0.7543 | 0.8685 |
| No log | 0.1583 | 88 | 0.7650 | 0.0211 | 0.7650 | 0.8746 |
| No log | 0.1619 | 90 | 0.7610 | 0.0315 | 0.7610 | 0.8724 |
| No log | 0.1655 | 92 | 0.7563 | 0.0545 | 0.7563 | 0.8696 |
| No log | 0.1691 | 94 | 0.7345 | 0.0752 | 0.7345 | 0.8570 |
| No log | 0.1727 | 96 | 0.7062 | 0.0482 | 0.7062 | 0.8403 |
| No log | 0.1763 | 98 | 0.6940 | 0.0607 | 0.6940 | 0.8331 |
| No log | 0.1799 | 100 | 0.6850 | 0.1263 | 0.6850 | 0.8276 |
| No log | 0.1835 | 102 | 0.6721 | 0.1847 | 0.6721 | 0.8198 |
| No log | 0.1871 | 104 | 0.6310 | 0.1614 | 0.6310 | 0.7944 |
| No log | 0.1906 | 106 | 0.6639 | 0.1379 | 0.6639 | 0.8148 |
| No log | 0.1942 | 108 | 0.7187 | 0.0482 | 0.7187 | 0.8477 |
| No log | 0.1978 | 110 | 0.7205 | 0.0545 | 0.7205 | 0.8488 |
| No log | 0.2014 | 112 | 0.6925 | 0.0752 | 0.6925 | 0.8322 |
| No log | 0.2050 | 114 | 0.6428 | 0.1523 | 0.6428 | 0.8018 |
| No log | 0.2086 | 116 | 0.6803 | 0.1956 | 0.6803 | 0.8248 |
| No log | 0.2122 | 118 | 0.8358 | 0.2060 | 0.8358 | 0.9142 |
| No log | 0.2158 | 120 | 0.8024 | 0.1910 | 0.8024 | 0.8958 |
| No log | 0.2194 | 122 | 0.6860 | 0.1485 | 0.6860 | 0.8282 |
| No log | 0.2230 | 124 | 0.7698 | 0.3251 | 0.7698 | 0.8774 |
| No log | 0.2266 | 126 | 0.7759 | 0.2757 | 0.7759 | 0.8809 |
| No log | 0.2302 | 128 | 0.7656 | 0.0816 | 0.7656 | 0.8750 |
| No log | 0.2338 | 130 | 0.8245 | 0.0669 | 0.8245 | 0.9080 |
| No log | 0.2374 | 132 | 0.7871 | 0.0276 | 0.7871 | 0.8872 |
| No log | 0.2410 | 134 | 0.7725 | 0.0632 | 0.7725 | 0.8789 |
| No log | 0.2446 | 136 | 0.8331 | 0.3619 | 0.8331 | 0.9127 |
| No log | 0.2482 | 138 | 0.8376 | 0.3843 | 0.8376 | 0.9152 |
| No log | 0.2518 | 140 | 0.7570 | 0.2959 | 0.7570 | 0.8701 |
| No log | 0.2554 | 142 | 0.7399 | 0.1223 | 0.7399 | 0.8601 |
| No log | 0.2590 | 144 | 0.7941 | 0.1317 | 0.7941 | 0.8911 |
| No log | 0.2626 | 146 | 0.7482 | 0.1031 | 0.7482 | 0.8650 |
| No log | 0.2662 | 148 | 0.7749 | 0.2552 | 0.7749 | 0.8803 |
| No log | 0.2698 | 150 | 0.8069 | 0.3062 | 0.8069 | 0.8983 |
| No log | 0.2734 | 152 | 0.7846 | 0.3029 | 0.7846 | 0.8858 |
| No log | 0.2770 | 154 | 0.7344 | 0.1233 | 0.7344 | 0.8570 |
| No log | 0.2806 | 156 | 0.6986 | 0.0963 | 0.6986 | 0.8358 |
| No log | 0.2842 | 158 | 0.6893 | 0.1146 | 0.6893 | 0.8302 |
| No log | 0.2878 | 160 | 0.7335 | 0.0920 | 0.7335 | 0.8564 |
| No log | 0.2914 | 162 | 0.7402 | 0.1235 | 0.7402 | 0.8604 |
| No log | 0.2950 | 164 | 0.6970 | 0.1985 | 0.6970 | 0.8348 |
| No log | 0.2986 | 166 | 0.6796 | 0.2769 | 0.6796 | 0.8243 |
| No log | 0.3022 | 168 | 0.6916 | 0.3134 | 0.6916 | 0.8316 |
| No log | 0.3058 | 170 | 0.6929 | 0.3103 | 0.6929 | 0.8324 |
| No log | 0.3094 | 172 | 0.6869 | 0.1730 | 0.6869 | 0.8288 |
| No log | 0.3129 | 174 | 0.6781 | 0.1893 | 0.6781 | 0.8235 |
| No log | 0.3165 | 176 | 0.6535 | 0.2586 | 0.6535 | 0.8084 |
| No log | 0.3201 | 178 | 0.6346 | 0.3058 | 0.6346 | 0.7966 |
| No log | 0.3237 | 180 | 0.6309 | 0.4594 | 0.6309 | 0.7943 |
| No log | 0.3273 | 182 | 0.5461 | 0.4749 | 0.5461 | 0.7390 |
| No log | 0.3309 | 184 | 0.5382 | 0.4133 | 0.5382 | 0.7336 |
| No log | 0.3345 | 186 | 0.5070 | 0.4923 | 0.5070 | 0.7120 |
| No log | 0.3381 | 188 | 0.5627 | 0.3936 | 0.5627 | 0.7502 |
| No log | 0.3417 | 190 | 0.5657 | 0.3840 | 0.5657 | 0.7522 |
| No log | 0.3453 | 192 | 0.5467 | 0.4253 | 0.5467 | 0.7394 |
| No log | 0.3489 | 194 | 0.6041 | 0.3030 | 0.6041 | 0.7772 |
| No log | 0.3525 | 196 | 0.6850 | 0.3490 | 0.6850 | 0.8276 |
| No log | 0.3561 | 198 | 0.7010 | 0.3101 | 0.7010 | 0.8373 |
| No log | 0.3597 | 200 | 0.6799 | 0.3000 | 0.6799 | 0.8246 |
| No log | 0.3633 | 202 | 0.7000 | 0.3561 | 0.7000 | 0.8367 |
| No log | 0.3669 | 204 | 0.7818 | 0.4005 | 0.7818 | 0.8842 |
| No log | 0.3705 | 206 | 0.7313 | 0.3978 | 0.7313 | 0.8552 |
| No log | 0.3741 | 208 | 0.7180 | 0.4096 | 0.7180 | 0.8474 |
| No log | 0.3777 | 210 | 0.7600 | 0.3988 | 0.7600 | 0.8718 |
| No log | 0.3813 | 212 | 0.6848 | 0.3741 | 0.6848 | 0.8275 |
| No log | 0.3849 | 214 | 0.6889 | 0.3646 | 0.6889 | 0.8300 |
| No log | 0.3885 | 216 | 0.6416 | 0.3438 | 0.6416 | 0.8010 |
| No log | 0.3921 | 218 | 0.5931 | 0.3915 | 0.5931 | 0.7701 |
| No log | 0.3957 | 220 | 0.5224 | 0.4856 | 0.5224 | 0.7227 |
| No log | 0.3993 | 222 | 0.5046 | 0.5463 | 0.5046 | 0.7103 |
| No log | 0.4029 | 224 | 0.4591 | 0.5556 | 0.4591 | 0.6775 |
| No log | 0.4065 | 226 | 0.4752 | 0.5876 | 0.4752 | 0.6893 |
| No log | 0.4101 | 228 | 0.5257 | 0.4543 | 0.5257 | 0.7251 |
| No log | 0.4137 | 230 | 0.5244 | 0.4575 | 0.5244 | 0.7241 |
| No log | 0.4173 | 232 | 0.4818 | 0.5786 | 0.4818 | 0.6941 |
| No log | 0.4209 | 234 | 0.5189 | 0.5849 | 0.5189 | 0.7204 |
| No log | 0.4245 | 236 | 0.4813 | 0.5275 | 0.4813 | 0.6938 |
| No log | 0.4281 | 238 | 0.6028 | 0.3307 | 0.6028 | 0.7764 |
| No log | 0.4317 | 240 | 0.6467 | 0.2987 | 0.6467 | 0.8042 |
| No log | 0.4353 | 242 | 0.5584 | 0.3361 | 0.5584 | 0.7473 |
| No log | 0.4388 | 244 | 0.6244 | 0.4608 | 0.6244 | 0.7902 |
| No log | 0.4424 | 246 | 0.7894 | 0.4471 | 0.7894 | 0.8885 |
| No log | 0.4460 | 248 | 0.7881 | 0.4192 | 0.7881 | 0.8878 |
| No log | 0.4496 | 250 | 0.6862 | 0.3685 | 0.6862 | 0.8284 |
| No log | 0.4532 | 252 | 0.7045 | 0.1154 | 0.7045 | 0.8394 |
| No log | 0.4568 | 254 | 0.7473 | 0.0864 | 0.7473 | 0.8644 |
| No log | 0.4604 | 256 | 0.7169 | 0.0897 | 0.7169 | 0.8467 |
| No log | 0.4640 | 258 | 0.7075 | 0.3036 | 0.7075 | 0.8411 |
| No log | 0.4676 | 260 | 0.7887 | 0.4051 | 0.7887 | 0.8881 |
| No log | 0.4712 | 262 | 0.8429 | 0.4179 | 0.8429 | 0.9181 |
| No log | 0.4748 | 264 | 0.7952 | 0.4091 | 0.7952 | 0.8917 |
| No log | 0.4784 | 266 | 0.6811 | 0.4205 | 0.6811 | 0.8253 |
| No log | 0.4820 | 268 | 0.6454 | 0.2699 | 0.6454 | 0.8034 |
| No log | 0.4856 | 270 | 0.6367 | 0.2986 | 0.6367 | 0.7979 |
| No log | 0.4892 | 272 | 0.6177 | 0.3480 | 0.6177 | 0.7860 |
| No log | 0.4928 | 274 | 0.6115 | 0.4405 | 0.6115 | 0.7820 |
| No log | 0.4964 | 276 | 0.6096 | 0.4644 | 0.6096 | 0.7807 |
| No log | 0.5 | 278 | 0.5711 | 0.4796 | 0.5711 | 0.7557 |
| No log | 0.5036 | 280 | 0.5587 | 0.4132 | 0.5587 | 0.7475 |
| No log | 0.5072 | 282 | 0.5634 | 0.3387 | 0.5634 | 0.7506 |
| No log | 0.5108 | 284 | 0.5565 | 0.4170 | 0.5565 | 0.7460 |
| No log | 0.5144 | 286 | 0.6402 | 0.4759 | 0.6402 | 0.8001 |
| No log | 0.5180 | 288 | 0.6352 | 0.4765 | 0.6352 | 0.7970 |
| No log | 0.5216 | 290 | 0.6495 | 0.4805 | 0.6495 | 0.8059 |
| No log | 0.5252 | 292 | 0.6934 | 0.4749 | 0.6934 | 0.8327 |
| No log | 0.5288 | 294 | 0.6484 | 0.4902 | 0.6484 | 0.8052 |
| No log | 0.5324 | 296 | 0.5866 | 0.4602 | 0.5866 | 0.7659 |
| No log | 0.5360 | 298 | 0.6042 | 0.5024 | 0.6042 | 0.7773 |
| No log | 0.5396 | 300 | 0.6232 | 0.5082 | 0.6232 | 0.7894 |
| No log | 0.5432 | 302 | 0.5771 | 0.5008 | 0.5771 | 0.7597 |
| No log | 0.5468 | 304 | 0.5323 | 0.4917 | 0.5323 | 0.7296 |
| No log | 0.5504 | 306 | 0.6424 | 0.5213 | 0.6424 | 0.8015 |
| No log | 0.5540 | 308 | 0.6106 | 0.5522 | 0.6106 | 0.7814 |
| No log | 0.5576 | 310 | 0.4591 | 0.5079 | 0.4591 | 0.6776 |
| No log | 0.5612 | 312 | 0.5330 | 0.4024 | 0.5330 | 0.7301 |
| No log | 0.5647 | 314 | 0.4793 | 0.4747 | 0.4793 | 0.6923 |
| No log | 0.5683 | 316 | 0.5157 | 0.5397 | 0.5157 | 0.7181 |
| No log | 0.5719 | 318 | 0.5899 | 0.5389 | 0.5899 | 0.7680 |
| No log | 0.5755 | 320 | 0.5330 | 0.4880 | 0.5330 | 0.7300 |
| No log | 0.5791 | 322 | 0.5489 | 0.3345 | 0.5489 | 0.7409 |
| No log | 0.5827 | 324 | 0.6229 | 0.2664 | 0.6229 | 0.7892 |
| No log | 0.5863 | 326 | 0.5954 | 0.2710 | 0.5954 | 0.7716 |
| No log | 0.5899 | 328 | 0.5167 | 0.4287 | 0.5167 | 0.7188 |
| No log | 0.5935 | 330 | 0.5505 | 0.5533 | 0.5505 | 0.7420 |
| No log | 0.5971 | 332 | 0.5735 | 0.5483 | 0.5735 | 0.7573 |
| No log | 0.6007 | 334 | 0.5038 | 0.5234 | 0.5038 | 0.7098 |
| No log | 0.6043 | 336 | 0.4864 | 0.4582 | 0.4864 | 0.6974 |
| No log | 0.6079 | 338 | 0.4993 | 0.3937 | 0.4993 | 0.7066 |
| No log | 0.6115 | 340 | 0.4913 | 0.5011 | 0.4913 | 0.7010 |
| No log | 0.6151 | 342 | 0.5813 | 0.5308 | 0.5813 | 0.7624 |
| No log | 0.6187 | 344 | 0.8252 | 0.4798 | 0.8252 | 0.9084 |
| No log | 0.6223 | 346 | 0.8634 | 0.4631 | 0.8634 | 0.9292 |
| No log | 0.6259 | 348 | 0.7054 | 0.4652 | 0.7054 | 0.8399 |
| No log | 0.6295 | 350 | 0.6510 | 0.4673 | 0.6510 | 0.8068 |
| No log | 0.6331 | 352 | 0.6432 | 0.3118 | 0.6432 | 0.8020 |
| No log | 0.6367 | 354 | 0.6380 | 0.3174 | 0.6380 | 0.7987 |
| No log | 0.6403 | 356 | 0.6533 | 0.4664 | 0.6533 | 0.8082 |
| No log | 0.6439 | 358 | 0.6395 | 0.5044 | 0.6395 | 0.7997 |
| No log | 0.6475 | 360 | 0.5614 | 0.5329 | 0.5614 | 0.7492 |
| No log | 0.6511 | 362 | 0.4792 | 0.5421 | 0.4792 | 0.6922 |
| No log | 0.6547 | 364 | 0.4966 | 0.5049 | 0.4966 | 0.7047 |
| No log | 0.6583 | 366 | 0.6160 | 0.4765 | 0.6160 | 0.7848 |
| No log | 0.6619 | 368 | 0.5361 | 0.5264 | 0.5361 | 0.7322 |
| No log | 0.6655 | 370 | 0.5172 | 0.5662 | 0.5172 | 0.7192 |
| No log | 0.6691 | 372 | 0.5109 | 0.6011 | 0.5109 | 0.7148 |
| No log | 0.6727 | 374 | 0.4915 | 0.5853 | 0.4915 | 0.7011 |
| No log | 0.6763 | 376 | 0.4997 | 0.5907 | 0.4997 | 0.7069 |
| No log | 0.6799 | 378 | 0.4970 | 0.5842 | 0.4970 | 0.7050 |
| No log | 0.6835 | 380 | 0.4774 | 0.5663 | 0.4774 | 0.6910 |
| No log | 0.6871 | 382 | 0.5446 | 0.5523 | 0.5446 | 0.7380 |
| No log | 0.6906 | 384 | 0.8005 | 0.5141 | 0.8005 | 0.8947 |
| No log | 0.6942 | 386 | 1.0151 | 0.4721 | 1.0151 | 1.0075 |
| No log | 0.6978 | 388 | 0.9355 | 0.4992 | 0.9355 | 0.9672 |
| No log | 0.7014 | 390 | 0.6928 | 0.5704 | 0.6928 | 0.8323 |
| No log | 0.7050 | 392 | 0.5456 | 0.5221 | 0.5456 | 0.7386 |
| No log | 0.7086 | 394 | 0.5168 | 0.5438 | 0.5168 | 0.7189 |
| No log | 0.7122 | 396 | 0.5689 | 0.5952 | 0.5689 | 0.7543 |
| No log | 0.7158 | 398 | 0.6042 | 0.6012 | 0.6042 | 0.7773 |
| No log | 0.7194 | 400 | 0.5451 | 0.5942 | 0.5451 | 0.7383 |
| No log | 0.7230 | 402 | 0.5226 | 0.5746 | 0.5226 | 0.7229 |
| No log | 0.7266 | 404 | 0.5523 | 0.5839 | 0.5523 | 0.7432 |
| No log | 0.7302 | 406 | 0.5664 | 0.6070 | 0.5664 | 0.7526 |
| No log | 0.7338 | 408 | 0.5193 | 0.5697 | 0.5193 | 0.7206 |
| No log | 0.7374 | 410 | 0.4819 | 0.5632 | 0.4819 | 0.6942 |
| No log | 0.7410 | 412 | 0.5501 | 0.5952 | 0.5501 | 0.7417 |
| No log | 0.7446 | 414 | 0.6738 | 0.5472 | 0.6738 | 0.8209 |
| No log | 0.7482 | 416 | 0.7628 | 0.4997 | 0.7628 | 0.8734 |
| No log | 0.7518 | 418 | 0.6396 | 0.4587 | 0.6396 | 0.7997 |
| No log | 0.7554 | 420 | 0.6449 | 0.3962 | 0.6449 | 0.8031 |
| No log | 0.7590 | 422 | 0.7491 | 0.4010 | 0.7491 | 0.8655 |
| No log | 0.7626 | 424 | 0.8024 | 0.4422 | 0.8024 | 0.8957 |
| No log | 0.7662 | 426 | 0.6955 | 0.4352 | 0.6955 | 0.8340 |
| No log | 0.7698 | 428 | 0.6283 | 0.3937 | 0.6283 | 0.7927 |
| No log | 0.7734 | 430 | 0.6394 | 0.3894 | 0.6394 | 0.7996 |
| No log | 0.7770 | 432 | 0.7091 | 0.4459 | 0.7091 | 0.8421 |
| No log | 0.7806 | 434 | 0.6753 | 0.4779 | 0.6753 | 0.8218 |
| No log | 0.7842 | 436 | 0.6884 | 0.5060 | 0.6884 | 0.8297 |
| No log | 0.7878 | 438 | 0.6413 | 0.5462 | 0.6413 | 0.8008 |
| No log | 0.7914 | 440 | 0.5410 | 0.5190 | 0.5410 | 0.7355 |
| No log | 0.7950 | 442 | 0.6145 | 0.5742 | 0.6145 | 0.7839 |
| No log | 0.7986 | 444 | 0.6359 | 0.5859 | 0.6359 | 0.7975 |
| No log | 0.8022 | 446 | 0.5164 | 0.5889 | 0.5164 | 0.7186 |
| No log | 0.8058 | 448 | 0.4705 | 0.5642 | 0.4705 | 0.6859 |
| No log | 0.8094 | 450 | 0.4687 | 0.5778 | 0.4687 | 0.6846 |
| No log | 0.8129 | 452 | 0.4606 | 0.5416 | 0.4606 | 0.6787 |
| No log | 0.8165 | 454 | 0.4819 | 0.5457 | 0.4819 | 0.6942 |
| No log | 0.8201 | 456 | 0.6241 | 0.6184 | 0.6241 | 0.7900 |
| No log | 0.8237 | 458 | 0.6341 | 0.5923 | 0.6341 | 0.7963 |
| No log | 0.8273 | 460 | 0.5501 | 0.5301 | 0.5501 | 0.7417 |
| No log | 0.8309 | 462 | 0.4963 | 0.5164 | 0.4963 | 0.7045 |
| No log | 0.8345 | 464 | 0.4645 | 0.4540 | 0.4645 | 0.6816 |
| No log | 0.8381 | 466 | 0.4500 | 0.4872 | 0.4500 | 0.6708 |
| No log | 0.8417 | 468 | 0.4891 | 0.5727 | 0.4891 | 0.6994 |
| No log | 0.8453 | 470 | 0.6804 | 0.6084 | 0.6804 | 0.8248 |
| No log | 0.8489 | 472 | 0.6144 | 0.5688 | 0.6144 | 0.7838 |
| No log | 0.8525 | 474 | 0.4893 | 0.5249 | 0.4893 | 0.6995 |
| No log | 0.8561 | 476 | 0.5002 | 0.5289 | 0.5002 | 0.7072 |
| No log | 0.8597 | 478 | 0.5681 | 0.5893 | 0.5681 | 0.7537 |
| No log | 0.8633 | 480 | 0.6175 | 0.5901 | 0.6175 | 0.7858 |
| No log | 0.8669 | 482 | 0.5372 | 0.5979 | 0.5372 | 0.7329 |
| No log | 0.8705 | 484 | 0.4826 | 0.5530 | 0.4826 | 0.6947 |
| No log | 0.8741 | 486 | 0.4863 | 0.4640 | 0.4863 | 0.6973 |
| No log | 0.8777 | 488 | 0.5404 | 0.5059 | 0.5404 | 0.7351 |
| No log | 0.8813 | 490 | 0.6827 | 0.5270 | 0.6827 | 0.8263 |
| No log | 0.8849 | 492 | 0.7943 | 0.5499 | 0.7943 | 0.8912 |
| No log | 0.8885 | 494 | 0.7908 | 0.5950 | 0.7908 | 0.8893 |
| No log | 0.8921 | 496 | 0.6065 | 0.5657 | 0.6065 | 0.7788 |
| No log | 0.8957 | 498 | 0.5626 | 0.5587 | 0.5626 | 0.7501 |
| 0.5246 | 0.8993 | 500 | 0.6509 | 0.5980 | 0.6509 | 0.8068 |
| 0.5246 | 0.9029 | 502 | 1.0265 | 0.6138 | 1.0265 | 1.0131 |
| 0.5246 | 0.9065 | 504 | 1.2379 | 0.6013 | 1.2379 | 1.1126 |
| 0.5246 | 0.9101 | 506 | 0.9988 | 0.5765 | 0.9988 | 0.9994 |
| 0.5246 | 0.9137 | 508 | 0.5723 | 0.5713 | 0.5723 | 0.7565 |
| 0.5246 | 0.9173 | 510 | 0.4707 | 0.5566 | 0.4707 | 0.6861 |
| 0.5246 | 0.9209 | 512 | 0.4884 | 0.5719 | 0.4884 | 0.6989 |
| 0.5246 | 0.9245 | 514 | 0.6348 | 0.5827 | 0.6348 | 0.7967 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
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Model tree for MayBashendy/ASAP_FineTuningBERT_Aug_k35_task1_organization_fold1
Base model
google-bert/bert-base-uncased