Instructions to use MayBashendy/ASAP_FineTuningBERT_Aug_k25_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_k25_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_k25_task1_organization_fold1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k25_task1_organization_fold1") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k25_task1_organization_fold1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ASAP_FineTuningBERT_Aug_k25_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: 0.5742
- Qwk: 0.5276
- Mse: 0.5742
- Rmse: 0.7578
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 | 0.0049 | 2 | 10.1128 | 0.0 | 10.1128 | 3.1801 |
| No log | 0.0098 | 4 | 8.9943 | 0.0 | 8.9943 | 2.9990 |
| No log | 0.0147 | 6 | 7.7995 | 0.0324 | 7.7995 | 2.7928 |
| No log | 0.0197 | 8 | 6.5605 | 0.0016 | 6.5605 | 2.5614 |
| No log | 0.0246 | 10 | 5.2675 | 0.0 | 5.2675 | 2.2951 |
| No log | 0.0295 | 12 | 4.1268 | 0.0093 | 4.1268 | 2.0315 |
| No log | 0.0344 | 14 | 2.9789 | 0.0303 | 2.9789 | 1.7259 |
| No log | 0.0393 | 16 | 2.1328 | 0.0040 | 2.1328 | 1.4604 |
| No log | 0.0442 | 18 | 1.6251 | 0.0 | 1.6251 | 1.2748 |
| No log | 0.0491 | 20 | 1.2514 | 0.2066 | 1.2514 | 1.1186 |
| No log | 0.0541 | 22 | 1.0487 | 0.0768 | 1.0487 | 1.0241 |
| No log | 0.0590 | 24 | 0.9011 | 0.0211 | 0.9011 | 0.9492 |
| No log | 0.0639 | 26 | 0.8605 | 0.0106 | 0.8605 | 0.9276 |
| No log | 0.0688 | 28 | 0.8888 | 0.0211 | 0.8888 | 0.9427 |
| No log | 0.0737 | 30 | 0.8545 | 0.0 | 0.8545 | 0.9244 |
| No log | 0.0786 | 32 | 0.8596 | 0.0 | 0.8596 | 0.9271 |
| No log | 0.0835 | 34 | 0.8934 | 0.0782 | 0.8934 | 0.9452 |
| No log | 0.0885 | 36 | 0.8689 | 0.0171 | 0.8689 | 0.9322 |
| No log | 0.0934 | 38 | 0.9398 | 0.0 | 0.9398 | 0.9694 |
| No log | 0.0983 | 40 | 0.9685 | 0.0 | 0.9685 | 0.9841 |
| No log | 0.1032 | 42 | 0.8812 | 0.0 | 0.8812 | 0.9387 |
| No log | 0.1081 | 44 | 0.9606 | 0.0 | 0.9606 | 0.9801 |
| No log | 0.1130 | 46 | 0.9836 | 0.0 | 0.9836 | 0.9918 |
| No log | 0.1179 | 48 | 0.9136 | 0.0 | 0.9136 | 0.9558 |
| No log | 0.1229 | 50 | 0.8807 | 0.0 | 0.8807 | 0.9385 |
| No log | 0.1278 | 52 | 0.9246 | 0.0 | 0.9246 | 0.9616 |
| No log | 0.1327 | 54 | 0.9487 | 0.0106 | 0.9487 | 0.9740 |
| No log | 0.1376 | 56 | 0.9474 | 0.0326 | 0.9474 | 0.9733 |
| No log | 0.1425 | 58 | 0.8869 | 0.0172 | 0.8869 | 0.9418 |
| No log | 0.1474 | 60 | 0.8318 | 0.0 | 0.8318 | 0.9120 |
| No log | 0.1523 | 62 | 0.8245 | 0.0 | 0.8245 | 0.9080 |
| No log | 0.1572 | 64 | 0.8219 | 0.0 | 0.8219 | 0.9066 |
| No log | 0.1622 | 66 | 0.8613 | 0.0 | 0.8613 | 0.9281 |
| No log | 0.1671 | 68 | 0.8330 | 0.0 | 0.8330 | 0.9127 |
| No log | 0.1720 | 70 | 0.8057 | 0.0067 | 0.8057 | 0.8976 |
| No log | 0.1769 | 72 | 0.7668 | 0.0390 | 0.7668 | 0.8757 |
| No log | 0.1818 | 74 | 0.7325 | 0.0276 | 0.7325 | 0.8558 |
| No log | 0.1867 | 76 | 0.7240 | 0.0443 | 0.7240 | 0.8509 |
| No log | 0.1916 | 78 | 0.7276 | 0.0645 | 0.7276 | 0.8530 |
| No log | 0.1966 | 80 | 0.7571 | 0.0752 | 0.7571 | 0.8701 |
| No log | 0.2015 | 82 | 0.7769 | 0.0752 | 0.7769 | 0.8814 |
| No log | 0.2064 | 84 | 0.7690 | 0.0645 | 0.7690 | 0.8769 |
| No log | 0.2113 | 86 | 0.7435 | 0.0583 | 0.7435 | 0.8623 |
| No log | 0.2162 | 88 | 0.7259 | 0.0276 | 0.7259 | 0.8520 |
| No log | 0.2211 | 90 | 0.7201 | 0.0379 | 0.7201 | 0.8486 |
| No log | 0.2260 | 92 | 0.7152 | 0.0482 | 0.7152 | 0.8457 |
| No log | 0.2310 | 94 | 0.7174 | 0.0482 | 0.7174 | 0.8470 |
| No log | 0.2359 | 96 | 0.7270 | 0.0470 | 0.7270 | 0.8526 |
| No log | 0.2408 | 98 | 0.7385 | 0.2595 | 0.7385 | 0.8593 |
| No log | 0.2457 | 100 | 0.7141 | 0.1470 | 0.7141 | 0.8450 |
| No log | 0.2506 | 102 | 0.7350 | 0.1244 | 0.7350 | 0.8573 |
| No log | 0.2555 | 104 | 0.7392 | 0.1205 | 0.7392 | 0.8598 |
| No log | 0.2604 | 106 | 0.7598 | 0.0568 | 0.7598 | 0.8716 |
| No log | 0.2654 | 108 | 0.8377 | 0.0444 | 0.8377 | 0.9153 |
| No log | 0.2703 | 110 | 0.8516 | 0.0418 | 0.8516 | 0.9228 |
| No log | 0.2752 | 112 | 0.8401 | 0.0431 | 0.8401 | 0.9166 |
| No log | 0.2801 | 114 | 0.8037 | 0.0520 | 0.8037 | 0.8965 |
| No log | 0.2850 | 116 | 0.7879 | 0.0728 | 0.7879 | 0.8877 |
| No log | 0.2899 | 118 | 0.7801 | 0.1424 | 0.7801 | 0.8832 |
| No log | 0.2948 | 120 | 0.7344 | 0.1201 | 0.7344 | 0.8570 |
| No log | 0.2998 | 122 | 0.6831 | 0.1459 | 0.6831 | 0.8265 |
| No log | 0.3047 | 124 | 0.6612 | 0.1889 | 0.6612 | 0.8131 |
| No log | 0.3096 | 126 | 0.6524 | 0.3548 | 0.6524 | 0.8077 |
| No log | 0.3145 | 128 | 0.6201 | 0.4054 | 0.6201 | 0.7874 |
| No log | 0.3194 | 130 | 0.5923 | 0.3200 | 0.5923 | 0.7696 |
| No log | 0.3243 | 132 | 0.6082 | 0.2435 | 0.6082 | 0.7799 |
| No log | 0.3292 | 134 | 0.6437 | 0.1258 | 0.6437 | 0.8023 |
| No log | 0.3342 | 136 | 0.6357 | 0.1563 | 0.6357 | 0.7973 |
| No log | 0.3391 | 138 | 0.6285 | 0.4111 | 0.6285 | 0.7928 |
| No log | 0.3440 | 140 | 0.7422 | 0.4357 | 0.7422 | 0.8615 |
| No log | 0.3489 | 142 | 0.7150 | 0.4322 | 0.7150 | 0.8456 |
| No log | 0.3538 | 144 | 0.6028 | 0.4091 | 0.6028 | 0.7764 |
| No log | 0.3587 | 146 | 0.6015 | 0.4225 | 0.6015 | 0.7756 |
| No log | 0.3636 | 148 | 0.6951 | 0.4823 | 0.6951 | 0.8337 |
| No log | 0.3686 | 150 | 0.7038 | 0.4990 | 0.7038 | 0.8389 |
| No log | 0.3735 | 152 | 0.5787 | 0.4695 | 0.5787 | 0.7607 |
| No log | 0.3784 | 154 | 0.6215 | 0.3352 | 0.6215 | 0.7884 |
| No log | 0.3833 | 156 | 0.6272 | 0.3477 | 0.6272 | 0.7919 |
| No log | 0.3882 | 158 | 0.5507 | 0.4780 | 0.5507 | 0.7421 |
| No log | 0.3931 | 160 | 0.5994 | 0.4818 | 0.5994 | 0.7742 |
| No log | 0.3980 | 162 | 0.5815 | 0.4971 | 0.5815 | 0.7626 |
| No log | 0.4029 | 164 | 0.5675 | 0.3627 | 0.5675 | 0.7533 |
| No log | 0.4079 | 166 | 0.5865 | 0.2939 | 0.5865 | 0.7659 |
| No log | 0.4128 | 168 | 0.5698 | 0.3939 | 0.5698 | 0.7548 |
| No log | 0.4177 | 170 | 0.6356 | 0.4899 | 0.6356 | 0.7973 |
| No log | 0.4226 | 172 | 0.6942 | 0.4900 | 0.6942 | 0.8332 |
| No log | 0.4275 | 174 | 0.6633 | 0.4815 | 0.6633 | 0.8144 |
| No log | 0.4324 | 176 | 0.5872 | 0.4197 | 0.5872 | 0.7663 |
| No log | 0.4373 | 178 | 0.6004 | 0.2276 | 0.6004 | 0.7748 |
| No log | 0.4423 | 180 | 0.6033 | 0.2297 | 0.6033 | 0.7767 |
| No log | 0.4472 | 182 | 0.5766 | 0.3970 | 0.5766 | 0.7593 |
| No log | 0.4521 | 184 | 0.6689 | 0.4717 | 0.6689 | 0.8178 |
| No log | 0.4570 | 186 | 0.7695 | 0.4042 | 0.7695 | 0.8772 |
| No log | 0.4619 | 188 | 0.7469 | 0.4181 | 0.7469 | 0.8642 |
| No log | 0.4668 | 190 | 0.6979 | 0.3625 | 0.6979 | 0.8354 |
| No log | 0.4717 | 192 | 0.7124 | 0.2142 | 0.7124 | 0.8441 |
| No log | 0.4767 | 194 | 0.7172 | 0.3972 | 0.7172 | 0.8469 |
| No log | 0.4816 | 196 | 0.7136 | 0.4752 | 0.7136 | 0.8447 |
| No log | 0.4865 | 198 | 0.7077 | 0.4783 | 0.7077 | 0.8413 |
| No log | 0.4914 | 200 | 0.7011 | 0.4889 | 0.7011 | 0.8373 |
| No log | 0.4963 | 202 | 0.6820 | 0.4918 | 0.6820 | 0.8258 |
| No log | 0.5012 | 204 | 0.6660 | 0.5004 | 0.6660 | 0.8161 |
| No log | 0.5061 | 206 | 0.6313 | 0.5193 | 0.6313 | 0.7945 |
| No log | 0.5111 | 208 | 0.6562 | 0.5317 | 0.6562 | 0.8101 |
| No log | 0.5160 | 210 | 0.5680 | 0.5665 | 0.5680 | 0.7537 |
| No log | 0.5209 | 212 | 0.5510 | 0.5565 | 0.5510 | 0.7423 |
| No log | 0.5258 | 214 | 0.5106 | 0.5486 | 0.5106 | 0.7146 |
| No log | 0.5307 | 216 | 0.5433 | 0.5795 | 0.5433 | 0.7371 |
| No log | 0.5356 | 218 | 0.4979 | 0.5820 | 0.4979 | 0.7056 |
| No log | 0.5405 | 220 | 0.4783 | 0.5050 | 0.4783 | 0.6916 |
| No log | 0.5455 | 222 | 0.4630 | 0.5287 | 0.4630 | 0.6805 |
| No log | 0.5504 | 224 | 0.4581 | 0.5551 | 0.4581 | 0.6768 |
| No log | 0.5553 | 226 | 0.5263 | 0.5927 | 0.5263 | 0.7255 |
| No log | 0.5602 | 228 | 0.7635 | 0.4351 | 0.7635 | 0.8738 |
| No log | 0.5651 | 230 | 1.0279 | 0.2025 | 1.0279 | 1.0138 |
| No log | 0.5700 | 232 | 1.0434 | 0.2820 | 1.0434 | 1.0215 |
| No log | 0.5749 | 234 | 0.8612 | 0.3846 | 0.8612 | 0.9280 |
| No log | 0.5799 | 236 | 0.7987 | 0.4225 | 0.7987 | 0.8937 |
| No log | 0.5848 | 238 | 0.8258 | 0.4022 | 0.8258 | 0.9087 |
| No log | 0.5897 | 240 | 0.7656 | 0.4263 | 0.7656 | 0.8750 |
| No log | 0.5946 | 242 | 0.7307 | 0.4419 | 0.7307 | 0.8548 |
| No log | 0.5995 | 244 | 0.7634 | 0.4449 | 0.7634 | 0.8737 |
| No log | 0.6044 | 246 | 0.6035 | 0.4980 | 0.6035 | 0.7769 |
| No log | 0.6093 | 248 | 0.5288 | 0.4402 | 0.5288 | 0.7272 |
| No log | 0.6143 | 250 | 0.5195 | 0.4752 | 0.5195 | 0.7207 |
| No log | 0.6192 | 252 | 0.5899 | 0.5062 | 0.5899 | 0.7681 |
| No log | 0.6241 | 254 | 0.6204 | 0.5011 | 0.6204 | 0.7877 |
| No log | 0.6290 | 256 | 0.7014 | 0.4740 | 0.7014 | 0.8375 |
| No log | 0.6339 | 258 | 0.6151 | 0.4904 | 0.6151 | 0.7843 |
| No log | 0.6388 | 260 | 0.5681 | 0.4732 | 0.5681 | 0.7537 |
| No log | 0.6437 | 262 | 0.5711 | 0.3029 | 0.5711 | 0.7557 |
| No log | 0.6486 | 264 | 0.5710 | 0.3919 | 0.5710 | 0.7557 |
| No log | 0.6536 | 266 | 0.5865 | 0.4336 | 0.5865 | 0.7658 |
| No log | 0.6585 | 268 | 0.5858 | 0.4150 | 0.5858 | 0.7654 |
| No log | 0.6634 | 270 | 0.5771 | 0.2926 | 0.5771 | 0.7597 |
| No log | 0.6683 | 272 | 0.5823 | 0.2582 | 0.5823 | 0.7631 |
| No log | 0.6732 | 274 | 0.5503 | 0.4403 | 0.5503 | 0.7418 |
| No log | 0.6781 | 276 | 0.6317 | 0.5141 | 0.6317 | 0.7948 |
| No log | 0.6830 | 278 | 0.6959 | 0.4922 | 0.6959 | 0.8342 |
| No log | 0.6880 | 280 | 0.6101 | 0.5248 | 0.6101 | 0.7811 |
| No log | 0.6929 | 282 | 0.5580 | 0.4842 | 0.5580 | 0.7470 |
| No log | 0.6978 | 284 | 0.5688 | 0.4833 | 0.5688 | 0.7542 |
| No log | 0.7027 | 286 | 0.6073 | 0.5096 | 0.6073 | 0.7793 |
| No log | 0.7076 | 288 | 0.6491 | 0.5226 | 0.6491 | 0.8057 |
| No log | 0.7125 | 290 | 0.6436 | 0.5091 | 0.6436 | 0.8023 |
| No log | 0.7174 | 292 | 0.6434 | 0.5084 | 0.6434 | 0.8021 |
| No log | 0.7224 | 294 | 0.5828 | 0.4337 | 0.5828 | 0.7634 |
| No log | 0.7273 | 296 | 0.5625 | 0.3556 | 0.5625 | 0.7500 |
| No log | 0.7322 | 298 | 0.5582 | 0.3241 | 0.5582 | 0.7471 |
| No log | 0.7371 | 300 | 0.5544 | 0.4767 | 0.5544 | 0.7446 |
| No log | 0.7420 | 302 | 0.6449 | 0.5024 | 0.6449 | 0.8031 |
| No log | 0.7469 | 304 | 0.6234 | 0.5138 | 0.6234 | 0.7896 |
| No log | 0.7518 | 306 | 0.5243 | 0.5019 | 0.5243 | 0.7241 |
| No log | 0.7568 | 308 | 0.5382 | 0.3475 | 0.5382 | 0.7336 |
| No log | 0.7617 | 310 | 0.5320 | 0.3510 | 0.5320 | 0.7294 |
| No log | 0.7666 | 312 | 0.4957 | 0.4885 | 0.4957 | 0.7040 |
| No log | 0.7715 | 314 | 0.5830 | 0.5293 | 0.5830 | 0.7635 |
| No log | 0.7764 | 316 | 0.5886 | 0.5480 | 0.5886 | 0.7672 |
| No log | 0.7813 | 318 | 0.4838 | 0.5468 | 0.4838 | 0.6956 |
| No log | 0.7862 | 320 | 0.4668 | 0.5205 | 0.4668 | 0.6832 |
| No log | 0.7912 | 322 | 0.4647 | 0.4996 | 0.4647 | 0.6817 |
| No log | 0.7961 | 324 | 0.4582 | 0.5328 | 0.4582 | 0.6769 |
| No log | 0.8010 | 326 | 0.4574 | 0.5561 | 0.4574 | 0.6763 |
| No log | 0.8059 | 328 | 0.4591 | 0.5546 | 0.4591 | 0.6775 |
| No log | 0.8108 | 330 | 0.4420 | 0.5515 | 0.4420 | 0.6648 |
| No log | 0.8157 | 332 | 0.4386 | 0.5533 | 0.4386 | 0.6623 |
| No log | 0.8206 | 334 | 0.4409 | 0.5459 | 0.4409 | 0.6640 |
| No log | 0.8256 | 336 | 0.4340 | 0.5524 | 0.4340 | 0.6588 |
| No log | 0.8305 | 338 | 0.4475 | 0.5581 | 0.4475 | 0.6689 |
| No log | 0.8354 | 340 | 0.4293 | 0.5655 | 0.4293 | 0.6552 |
| No log | 0.8403 | 342 | 0.4330 | 0.5695 | 0.4330 | 0.6580 |
| No log | 0.8452 | 344 | 0.4234 | 0.5587 | 0.4234 | 0.6507 |
| No log | 0.8501 | 346 | 0.4824 | 0.5736 | 0.4824 | 0.6945 |
| No log | 0.8550 | 348 | 0.5140 | 0.5911 | 0.5140 | 0.7169 |
| No log | 0.8600 | 350 | 0.4262 | 0.5602 | 0.4262 | 0.6529 |
| No log | 0.8649 | 352 | 0.4381 | 0.5275 | 0.4381 | 0.6619 |
| No log | 0.8698 | 354 | 0.4407 | 0.5713 | 0.4407 | 0.6639 |
| No log | 0.8747 | 356 | 0.6305 | 0.5876 | 0.6305 | 0.7940 |
| No log | 0.8796 | 358 | 0.7397 | 0.5399 | 0.7397 | 0.8601 |
| No log | 0.8845 | 360 | 0.5972 | 0.5745 | 0.5972 | 0.7728 |
| No log | 0.8894 | 362 | 0.4624 | 0.5444 | 0.4624 | 0.6800 |
| No log | 0.8943 | 364 | 0.4427 | 0.5714 | 0.4427 | 0.6654 |
| No log | 0.8993 | 366 | 0.4513 | 0.5967 | 0.4513 | 0.6718 |
| No log | 0.9042 | 368 | 0.5772 | 0.5873 | 0.5772 | 0.7597 |
| No log | 0.9091 | 370 | 0.6064 | 0.6086 | 0.6064 | 0.7787 |
| No log | 0.9140 | 372 | 0.4612 | 0.6155 | 0.4612 | 0.6791 |
| No log | 0.9189 | 374 | 0.4125 | 0.5595 | 0.4125 | 0.6423 |
| No log | 0.9238 | 376 | 0.4153 | 0.5622 | 0.4153 | 0.6445 |
| No log | 0.9287 | 378 | 0.4368 | 0.5968 | 0.4368 | 0.6609 |
| No log | 0.9337 | 380 | 0.4642 | 0.6211 | 0.4642 | 0.6813 |
| No log | 0.9386 | 382 | 0.4825 | 0.6245 | 0.4825 | 0.6946 |
| No log | 0.9435 | 384 | 0.4562 | 0.6044 | 0.4562 | 0.6755 |
| No log | 0.9484 | 386 | 0.4663 | 0.6003 | 0.4663 | 0.6828 |
| No log | 0.9533 | 388 | 0.5363 | 0.6060 | 0.5363 | 0.7323 |
| No log | 0.9582 | 390 | 0.7487 | 0.5385 | 0.7487 | 0.8653 |
| No log | 0.9631 | 392 | 0.7755 | 0.5165 | 0.7755 | 0.8806 |
| No log | 0.9681 | 394 | 0.6010 | 0.5651 | 0.6010 | 0.7753 |
| No log | 0.9730 | 396 | 0.5072 | 0.5756 | 0.5072 | 0.7122 |
| No log | 0.9779 | 398 | 0.5508 | 0.5799 | 0.5508 | 0.7422 |
| No log | 0.9828 | 400 | 0.6093 | 0.5552 | 0.6093 | 0.7806 |
| No log | 0.9877 | 402 | 0.7580 | 0.5384 | 0.7580 | 0.8706 |
| No log | 0.9926 | 404 | 0.7525 | 0.5377 | 0.7525 | 0.8675 |
| No log | 0.9975 | 406 | 0.6594 | 0.5489 | 0.6594 | 0.8120 |
| No log | 1.0025 | 408 | 0.6561 | 0.5508 | 0.6561 | 0.8100 |
| No log | 1.0074 | 410 | 0.5611 | 0.5819 | 0.5611 | 0.7490 |
| No log | 1.0123 | 412 | 0.5213 | 0.5625 | 0.5213 | 0.7220 |
| No log | 1.0172 | 414 | 0.5723 | 0.5771 | 0.5723 | 0.7565 |
| No log | 1.0221 | 416 | 0.5687 | 0.5930 | 0.5687 | 0.7541 |
| No log | 1.0270 | 418 | 0.4838 | 0.6001 | 0.4838 | 0.6956 |
| No log | 1.0319 | 420 | 0.4607 | 0.6038 | 0.4607 | 0.6788 |
| No log | 1.0369 | 422 | 0.4615 | 0.6063 | 0.4615 | 0.6794 |
| No log | 1.0418 | 424 | 0.4450 | 0.5948 | 0.4450 | 0.6671 |
| No log | 1.0467 | 426 | 0.4441 | 0.6054 | 0.4441 | 0.6664 |
| No log | 1.0516 | 428 | 0.4670 | 0.6159 | 0.4670 | 0.6834 |
| No log | 1.0565 | 430 | 0.5026 | 0.6090 | 0.5026 | 0.7090 |
| No log | 1.0614 | 432 | 0.4743 | 0.5952 | 0.4743 | 0.6887 |
| No log | 1.0663 | 434 | 0.4243 | 0.5902 | 0.4243 | 0.6514 |
| No log | 1.0713 | 436 | 0.4351 | 0.5888 | 0.4351 | 0.6596 |
| No log | 1.0762 | 438 | 0.4700 | 0.6032 | 0.4700 | 0.6855 |
| No log | 1.0811 | 440 | 0.4343 | 0.5845 | 0.4343 | 0.6590 |
| No log | 1.0860 | 442 | 0.4483 | 0.5462 | 0.4483 | 0.6696 |
| No log | 1.0909 | 444 | 0.4533 | 0.5365 | 0.4533 | 0.6733 |
| No log | 1.0958 | 446 | 0.4362 | 0.5746 | 0.4362 | 0.6605 |
| No log | 1.1007 | 448 | 0.4928 | 0.5906 | 0.4928 | 0.7020 |
| No log | 1.1057 | 450 | 0.5399 | 0.6173 | 0.5399 | 0.7348 |
| No log | 1.1106 | 452 | 0.4619 | 0.5991 | 0.4619 | 0.6797 |
| No log | 1.1155 | 454 | 0.4252 | 0.5727 | 0.4252 | 0.6521 |
| No log | 1.1204 | 456 | 0.4228 | 0.5741 | 0.4228 | 0.6502 |
| No log | 1.1253 | 458 | 0.4567 | 0.6257 | 0.4567 | 0.6758 |
| No log | 1.1302 | 460 | 0.6388 | 0.6334 | 0.6388 | 0.7992 |
| No log | 1.1351 | 462 | 0.6192 | 0.6482 | 0.6192 | 0.7869 |
| No log | 1.1400 | 464 | 0.4595 | 0.6285 | 0.4595 | 0.6778 |
| No log | 1.1450 | 466 | 0.4330 | 0.5952 | 0.4330 | 0.6580 |
| No log | 1.1499 | 468 | 0.4991 | 0.6471 | 0.4991 | 0.7065 |
| No log | 1.1548 | 470 | 0.6608 | 0.7030 | 0.6608 | 0.8129 |
| No log | 1.1597 | 472 | 0.5729 | 0.6976 | 0.5729 | 0.7569 |
| No log | 1.1646 | 474 | 0.4662 | 0.6349 | 0.4662 | 0.6828 |
| No log | 1.1695 | 476 | 0.4311 | 0.6056 | 0.4311 | 0.6566 |
| No log | 1.1744 | 478 | 0.4604 | 0.6280 | 0.4604 | 0.6786 |
| No log | 1.1794 | 480 | 0.5520 | 0.6610 | 0.5520 | 0.7430 |
| No log | 1.1843 | 482 | 0.5067 | 0.6294 | 0.5067 | 0.7118 |
| No log | 1.1892 | 484 | 0.4372 | 0.5604 | 0.4372 | 0.6612 |
| No log | 1.1941 | 486 | 0.4510 | 0.4927 | 0.4510 | 0.6716 |
| No log | 1.1990 | 488 | 0.4446 | 0.4944 | 0.4446 | 0.6668 |
| No log | 1.2039 | 490 | 0.4548 | 0.5763 | 0.4548 | 0.6744 |
| No log | 1.2088 | 492 | 0.4975 | 0.6070 | 0.4975 | 0.7053 |
| No log | 1.2138 | 494 | 0.5297 | 0.6055 | 0.5297 | 0.7278 |
| No log | 1.2187 | 496 | 0.5612 | 0.6027 | 0.5612 | 0.7492 |
| No log | 1.2236 | 498 | 0.4947 | 0.5789 | 0.4947 | 0.7034 |
| 0.5107 | 1.2285 | 500 | 0.4709 | 0.5476 | 0.4709 | 0.6862 |
| 0.5107 | 1.2334 | 502 | 0.4801 | 0.5732 | 0.4801 | 0.6929 |
| 0.5107 | 1.2383 | 504 | 0.5205 | 0.5463 | 0.5205 | 0.7215 |
| 0.5107 | 1.2432 | 506 | 0.6151 | 0.5699 | 0.6151 | 0.7843 |
| 0.5107 | 1.2482 | 508 | 0.5700 | 0.5693 | 0.5700 | 0.7550 |
| 0.5107 | 1.2531 | 510 | 0.4834 | 0.5265 | 0.4834 | 0.6953 |
| 0.5107 | 1.2580 | 512 | 0.4777 | 0.5232 | 0.4777 | 0.6912 |
| 0.5107 | 1.2629 | 514 | 0.5004 | 0.5599 | 0.5004 | 0.7074 |
| 0.5107 | 1.2678 | 516 | 0.6491 | 0.5823 | 0.6491 | 0.8056 |
| 0.5107 | 1.2727 | 518 | 0.7351 | 0.6037 | 0.7351 | 0.8574 |
| 0.5107 | 1.2776 | 520 | 0.5979 | 0.5796 | 0.5979 | 0.7733 |
| 0.5107 | 1.2826 | 522 | 0.4755 | 0.5737 | 0.4755 | 0.6896 |
| 0.5107 | 1.2875 | 524 | 0.4747 | 0.4636 | 0.4747 | 0.6890 |
| 0.5107 | 1.2924 | 526 | 0.4686 | 0.4788 | 0.4686 | 0.6845 |
| 0.5107 | 1.2973 | 528 | 0.4581 | 0.5544 | 0.4581 | 0.6768 |
| 0.5107 | 1.3022 | 530 | 0.5497 | 0.6133 | 0.5497 | 0.7414 |
| 0.5107 | 1.3071 | 532 | 0.5933 | 0.6177 | 0.5933 | 0.7703 |
| 0.5107 | 1.3120 | 534 | 0.4957 | 0.5906 | 0.4957 | 0.7041 |
| 0.5107 | 1.3170 | 536 | 0.4449 | 0.5474 | 0.4449 | 0.6670 |
| 0.5107 | 1.3219 | 538 | 0.4461 | 0.5397 | 0.4461 | 0.6679 |
| 0.5107 | 1.3268 | 540 | 0.4911 | 0.5874 | 0.4911 | 0.7008 |
| 0.5107 | 1.3317 | 542 | 0.5566 | 0.6092 | 0.5566 | 0.7461 |
| 0.5107 | 1.3366 | 544 | 0.6142 | 0.5899 | 0.6142 | 0.7837 |
| 0.5107 | 1.3415 | 546 | 0.5344 | 0.5407 | 0.5344 | 0.7310 |
| 0.5107 | 1.3464 | 548 | 0.5157 | 0.4574 | 0.5157 | 0.7181 |
| 0.5107 | 1.3514 | 550 | 0.5250 | 0.4391 | 0.5250 | 0.7246 |
| 0.5107 | 1.3563 | 552 | 0.5342 | 0.4987 | 0.5342 | 0.7309 |
| 0.5107 | 1.3612 | 554 | 0.5742 | 0.5276 | 0.5742 | 0.7578 |
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_k25_task1_organization_fold1
Base model
google-bert/bert-base-uncased