Instructions to use MayBashendy/ASAP_FineTuningBERT_Aug_k25_task1_organization_fold0 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_fold0 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_fold0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k25_task1_organization_fold0") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k25_task1_organization_fold0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ASAP_FineTuningBERT_Aug_k25_task1_organization_fold0
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: 0.4564
- Qwk: 0.5184
- Mse: 0.4564
- Rmse: 0.6756
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 | 0.0051 | 2 | 9.7197 | 0.0 | 9.7197 | 3.1176 |
| No log | 0.0103 | 4 | 8.2513 | 0.0137 | 8.2513 | 2.8725 |
| No log | 0.0154 | 6 | 7.2426 | 0.0054 | 7.2426 | 2.6912 |
| No log | 0.0206 | 8 | 6.5605 | 0.0018 | 6.5605 | 2.5614 |
| No log | 0.0257 | 10 | 5.7007 | 0.0 | 5.7007 | 2.3876 |
| No log | 0.0308 | 12 | 4.8602 | 0.0 | 4.8602 | 2.2046 |
| No log | 0.0360 | 14 | 4.0732 | 0.0312 | 4.0732 | 2.0182 |
| No log | 0.0411 | 16 | 3.3232 | 0.0150 | 3.3232 | 1.8230 |
| No log | 0.0463 | 18 | 2.6070 | 0.0115 | 2.6070 | 1.6146 |
| No log | 0.0514 | 20 | 2.0523 | 0.0077 | 2.0523 | 1.4326 |
| No log | 0.0566 | 22 | 1.5454 | 0.0077 | 1.5454 | 1.2431 |
| No log | 0.0617 | 24 | 1.2206 | 0.0976 | 1.2206 | 1.1048 |
| No log | 0.0668 | 26 | 0.9968 | 0.0484 | 0.9968 | 0.9984 |
| No log | 0.0720 | 28 | 0.8412 | 0.0316 | 0.8412 | 0.9172 |
| No log | 0.0771 | 30 | 0.7720 | 0.0316 | 0.7720 | 0.8786 |
| No log | 0.0823 | 32 | 0.7483 | 0.0316 | 0.7483 | 0.8650 |
| No log | 0.0874 | 34 | 0.7221 | 0.0316 | 0.7221 | 0.8498 |
| No log | 0.0925 | 36 | 0.6818 | 0.0679 | 0.6818 | 0.8257 |
| No log | 0.0977 | 38 | 0.6879 | 0.2823 | 0.6879 | 0.8294 |
| No log | 0.1028 | 40 | 0.7261 | 0.4454 | 0.7261 | 0.8521 |
| No log | 0.1080 | 42 | 0.6917 | 0.0316 | 0.6917 | 0.8317 |
| No log | 0.1131 | 44 | 0.7032 | 0.0316 | 0.7032 | 0.8386 |
| No log | 0.1183 | 46 | 0.6912 | 0.0409 | 0.6912 | 0.8314 |
| No log | 0.1234 | 48 | 0.7595 | 0.1049 | 0.7595 | 0.8715 |
| No log | 0.1285 | 50 | 0.7885 | 0.0316 | 0.7885 | 0.8880 |
| No log | 0.1337 | 52 | 0.8640 | 0.0316 | 0.8640 | 0.9295 |
| No log | 0.1388 | 54 | 0.8273 | 0.0316 | 0.8273 | 0.9096 |
| No log | 0.1440 | 56 | 0.7669 | 0.0316 | 0.7669 | 0.8757 |
| No log | 0.1491 | 58 | 0.7488 | 0.0316 | 0.7488 | 0.8653 |
| No log | 0.1542 | 60 | 0.7392 | 0.0316 | 0.7392 | 0.8598 |
| No log | 0.1594 | 62 | 0.8688 | 0.0316 | 0.8688 | 0.9321 |
| No log | 0.1645 | 64 | 0.7803 | 0.0316 | 0.7803 | 0.8833 |
| No log | 0.1697 | 66 | 0.7587 | 0.0917 | 0.7587 | 0.8710 |
| No log | 0.1748 | 68 | 0.8153 | 0.1893 | 0.8153 | 0.9029 |
| No log | 0.1799 | 70 | 0.8050 | 0.0106 | 0.8050 | 0.8972 |
| No log | 0.1851 | 72 | 0.7948 | 0.0106 | 0.7948 | 0.8915 |
| No log | 0.1902 | 74 | 0.8814 | 0.0106 | 0.8814 | 0.9388 |
| No log | 0.1954 | 76 | 0.9010 | 0.0106 | 0.9010 | 0.9492 |
| No log | 0.2005 | 78 | 0.8501 | 0.0106 | 0.8501 | 0.9220 |
| No log | 0.2057 | 80 | 0.8026 | 0.0106 | 0.8026 | 0.8959 |
| No log | 0.2108 | 82 | 0.7781 | 0.0212 | 0.7781 | 0.8821 |
| No log | 0.2159 | 84 | 0.7539 | 0.0212 | 0.7539 | 0.8683 |
| No log | 0.2211 | 86 | 0.7138 | 0.0212 | 0.7138 | 0.8449 |
| No log | 0.2262 | 88 | 0.6840 | 0.0316 | 0.6840 | 0.8270 |
| No log | 0.2314 | 90 | 0.6716 | 0.0382 | 0.6716 | 0.8195 |
| No log | 0.2365 | 92 | 0.7469 | 0.1138 | 0.7469 | 0.8642 |
| No log | 0.2416 | 94 | 0.6904 | 0.0989 | 0.6904 | 0.8309 |
| No log | 0.2468 | 96 | 0.6409 | 0.0965 | 0.6409 | 0.8006 |
| No log | 0.2519 | 98 | 0.5906 | 0.1657 | 0.5906 | 0.7685 |
| No log | 0.2571 | 100 | 0.5836 | 0.3276 | 0.5836 | 0.7640 |
| No log | 0.2622 | 102 | 0.5813 | 0.2713 | 0.5813 | 0.7624 |
| No log | 0.2674 | 104 | 0.6539 | 0.2029 | 0.6539 | 0.8086 |
| No log | 0.2725 | 106 | 0.6165 | 0.1761 | 0.6165 | 0.7852 |
| No log | 0.2776 | 108 | 0.6649 | 0.2300 | 0.6649 | 0.8154 |
| No log | 0.2828 | 110 | 0.5761 | 0.3670 | 0.5761 | 0.7590 |
| No log | 0.2879 | 112 | 0.6440 | 0.2348 | 0.6440 | 0.8025 |
| No log | 0.2931 | 114 | 0.5790 | 0.3560 | 0.5790 | 0.7609 |
| No log | 0.2982 | 116 | 0.5972 | 0.4462 | 0.5972 | 0.7728 |
| No log | 0.3033 | 118 | 0.5890 | 0.4195 | 0.5890 | 0.7674 |
| No log | 0.3085 | 120 | 0.6041 | 0.4154 | 0.6041 | 0.7773 |
| No log | 0.3136 | 122 | 0.6236 | 0.4118 | 0.6236 | 0.7897 |
| No log | 0.3188 | 124 | 0.6326 | 0.3870 | 0.6326 | 0.7954 |
| No log | 0.3239 | 126 | 0.6408 | 0.3804 | 0.6408 | 0.8005 |
| No log | 0.3290 | 128 | 0.6351 | 0.2678 | 0.6351 | 0.7969 |
| No log | 0.3342 | 130 | 0.6273 | 0.2938 | 0.6273 | 0.7921 |
| No log | 0.3393 | 132 | 0.6098 | 0.3983 | 0.6098 | 0.7809 |
| No log | 0.3445 | 134 | 0.5610 | 0.3395 | 0.5610 | 0.7490 |
| No log | 0.3496 | 136 | 0.5803 | 0.2881 | 0.5803 | 0.7618 |
| No log | 0.3548 | 138 | 0.6078 | 0.2697 | 0.6078 | 0.7796 |
| No log | 0.3599 | 140 | 0.5420 | 0.3548 | 0.5420 | 0.7362 |
| No log | 0.3650 | 142 | 0.6176 | 0.4748 | 0.6176 | 0.7859 |
| No log | 0.3702 | 144 | 0.6974 | 0.4289 | 0.6974 | 0.8351 |
| No log | 0.3753 | 146 | 0.6100 | 0.4760 | 0.6100 | 0.7810 |
| No log | 0.3805 | 148 | 0.5638 | 0.3984 | 0.5638 | 0.7509 |
| No log | 0.3856 | 150 | 0.5885 | 0.3725 | 0.5885 | 0.7672 |
| No log | 0.3907 | 152 | 0.6188 | 0.4020 | 0.6188 | 0.7866 |
| No log | 0.3959 | 154 | 0.6011 | 0.4209 | 0.6011 | 0.7753 |
| No log | 0.4010 | 156 | 0.5802 | 0.3927 | 0.5802 | 0.7617 |
| No log | 0.4062 | 158 | 0.6003 | 0.2077 | 0.6003 | 0.7748 |
| No log | 0.4113 | 160 | 0.6117 | 0.1512 | 0.6117 | 0.7821 |
| No log | 0.4165 | 162 | 0.5686 | 0.3428 | 0.5686 | 0.7541 |
| No log | 0.4216 | 164 | 0.5838 | 0.4219 | 0.5838 | 0.7641 |
| No log | 0.4267 | 166 | 0.5672 | 0.2763 | 0.5672 | 0.7531 |
| No log | 0.4319 | 168 | 0.6833 | 0.1056 | 0.6833 | 0.8266 |
| No log | 0.4370 | 170 | 0.6518 | 0.1132 | 0.6518 | 0.8074 |
| No log | 0.4422 | 172 | 0.5972 | 0.1976 | 0.5972 | 0.7728 |
| No log | 0.4473 | 174 | 0.5658 | 0.2990 | 0.5658 | 0.7522 |
| No log | 0.4524 | 176 | 0.5975 | 0.4283 | 0.5975 | 0.7730 |
| No log | 0.4576 | 178 | 0.5976 | 0.4283 | 0.5976 | 0.7731 |
| No log | 0.4627 | 180 | 0.5860 | 0.3942 | 0.5860 | 0.7655 |
| No log | 0.4679 | 182 | 0.5564 | 0.3634 | 0.5564 | 0.7459 |
| No log | 0.4730 | 184 | 0.5481 | 0.3261 | 0.5481 | 0.7404 |
| No log | 0.4781 | 186 | 0.5404 | 0.3953 | 0.5404 | 0.7351 |
| No log | 0.4833 | 188 | 0.6461 | 0.4499 | 0.6461 | 0.8038 |
| No log | 0.4884 | 190 | 0.6761 | 0.4304 | 0.6761 | 0.8222 |
| No log | 0.4936 | 192 | 0.5535 | 0.4554 | 0.5535 | 0.7440 |
| No log | 0.4987 | 194 | 0.5418 | 0.3669 | 0.5418 | 0.7361 |
| No log | 0.5039 | 196 | 0.5403 | 0.3481 | 0.5403 | 0.7350 |
| No log | 0.5090 | 198 | 0.5639 | 0.4450 | 0.5639 | 0.7509 |
| No log | 0.5141 | 200 | 0.5816 | 0.4289 | 0.5816 | 0.7626 |
| No log | 0.5193 | 202 | 0.5499 | 0.4539 | 0.5499 | 0.7416 |
| No log | 0.5244 | 204 | 0.5273 | 0.3763 | 0.5273 | 0.7261 |
| No log | 0.5296 | 206 | 0.5654 | 0.2645 | 0.5654 | 0.7519 |
| No log | 0.5347 | 208 | 0.5674 | 0.2675 | 0.5674 | 0.7532 |
| No log | 0.5398 | 210 | 0.5249 | 0.3926 | 0.5249 | 0.7245 |
| No log | 0.5450 | 212 | 0.5320 | 0.4558 | 0.5320 | 0.7294 |
| No log | 0.5501 | 214 | 0.5117 | 0.3944 | 0.5117 | 0.7154 |
| No log | 0.5553 | 216 | 0.5569 | 0.3028 | 0.5569 | 0.7462 |
| No log | 0.5604 | 218 | 0.5266 | 0.3504 | 0.5266 | 0.7257 |
| No log | 0.5656 | 220 | 0.4845 | 0.4490 | 0.4845 | 0.6961 |
| No log | 0.5707 | 222 | 0.5231 | 0.5271 | 0.5231 | 0.7233 |
| No log | 0.5758 | 224 | 0.4822 | 0.4886 | 0.4822 | 0.6944 |
| No log | 0.5810 | 226 | 0.4878 | 0.3970 | 0.4878 | 0.6984 |
| No log | 0.5861 | 228 | 0.4745 | 0.4288 | 0.4745 | 0.6888 |
| No log | 0.5913 | 230 | 0.5477 | 0.5292 | 0.5477 | 0.7401 |
| No log | 0.5964 | 232 | 0.6008 | 0.5223 | 0.6008 | 0.7751 |
| No log | 0.6015 | 234 | 0.5149 | 0.5206 | 0.5149 | 0.7175 |
| No log | 0.6067 | 236 | 0.4841 | 0.4222 | 0.4841 | 0.6958 |
| No log | 0.6118 | 238 | 0.5127 | 0.3362 | 0.5127 | 0.7160 |
| No log | 0.6170 | 240 | 0.4975 | 0.3923 | 0.4975 | 0.7053 |
| No log | 0.6221 | 242 | 0.5268 | 0.5096 | 0.5268 | 0.7258 |
| No log | 0.6272 | 244 | 0.6378 | 0.5017 | 0.6378 | 0.7986 |
| No log | 0.6324 | 246 | 0.5999 | 0.5175 | 0.5999 | 0.7745 |
| No log | 0.6375 | 248 | 0.4988 | 0.5016 | 0.4988 | 0.7063 |
| No log | 0.6427 | 250 | 0.4872 | 0.4214 | 0.4872 | 0.6980 |
| No log | 0.6478 | 252 | 0.5091 | 0.3482 | 0.5091 | 0.7135 |
| No log | 0.6530 | 254 | 0.4968 | 0.3697 | 0.4968 | 0.7049 |
| No log | 0.6581 | 256 | 0.4635 | 0.5082 | 0.4635 | 0.6808 |
| No log | 0.6632 | 258 | 0.5824 | 0.5396 | 0.5824 | 0.7631 |
| No log | 0.6684 | 260 | 0.5973 | 0.5489 | 0.5973 | 0.7729 |
| No log | 0.6735 | 262 | 0.5086 | 0.5418 | 0.5086 | 0.7132 |
| No log | 0.6787 | 264 | 0.4792 | 0.4449 | 0.4792 | 0.6922 |
| No log | 0.6838 | 266 | 0.5579 | 0.3627 | 0.5579 | 0.7469 |
| No log | 0.6889 | 268 | 0.5398 | 0.3697 | 0.5398 | 0.7347 |
| No log | 0.6941 | 270 | 0.4788 | 0.4614 | 0.4788 | 0.6920 |
| No log | 0.6992 | 272 | 0.5757 | 0.5162 | 0.5757 | 0.7587 |
| No log | 0.7044 | 274 | 0.6351 | 0.4778 | 0.6351 | 0.7969 |
| No log | 0.7095 | 276 | 0.5685 | 0.4801 | 0.5685 | 0.7540 |
| No log | 0.7147 | 278 | 0.5609 | 0.3805 | 0.5609 | 0.7489 |
| No log | 0.7198 | 280 | 0.5666 | 0.3615 | 0.5666 | 0.7527 |
| No log | 0.7249 | 282 | 0.5373 | 0.4395 | 0.5373 | 0.7330 |
| No log | 0.7301 | 284 | 0.5215 | 0.4876 | 0.5215 | 0.7221 |
| No log | 0.7352 | 286 | 0.4933 | 0.4565 | 0.4933 | 0.7024 |
| No log | 0.7404 | 288 | 0.5489 | 0.3641 | 0.5489 | 0.7409 |
| No log | 0.7455 | 290 | 0.6123 | 0.3346 | 0.6123 | 0.7825 |
| No log | 0.7506 | 292 | 0.5541 | 0.4180 | 0.5541 | 0.7444 |
| No log | 0.7558 | 294 | 0.4790 | 0.4901 | 0.4790 | 0.6921 |
| No log | 0.7609 | 296 | 0.4686 | 0.5074 | 0.4686 | 0.6846 |
| No log | 0.7661 | 298 | 0.4663 | 0.4929 | 0.4663 | 0.6829 |
| No log | 0.7712 | 300 | 0.4666 | 0.5431 | 0.4666 | 0.6831 |
| No log | 0.7763 | 302 | 0.4872 | 0.5412 | 0.4872 | 0.6980 |
| No log | 0.7815 | 304 | 0.4857 | 0.5417 | 0.4857 | 0.6969 |
| No log | 0.7866 | 306 | 0.4833 | 0.5466 | 0.4833 | 0.6952 |
| No log | 0.7918 | 308 | 0.4925 | 0.5549 | 0.4925 | 0.7018 |
| No log | 0.7969 | 310 | 0.4739 | 0.5404 | 0.4739 | 0.6884 |
| No log | 0.8021 | 312 | 0.4711 | 0.5205 | 0.4711 | 0.6863 |
| No log | 0.8072 | 314 | 0.5007 | 0.5171 | 0.5007 | 0.7076 |
| No log | 0.8123 | 316 | 0.5579 | 0.5316 | 0.5579 | 0.7469 |
| No log | 0.8175 | 318 | 0.5392 | 0.5250 | 0.5392 | 0.7343 |
| No log | 0.8226 | 320 | 0.5354 | 0.5256 | 0.5354 | 0.7317 |
| No log | 0.8278 | 322 | 0.5253 | 0.4336 | 0.5253 | 0.7248 |
| No log | 0.8329 | 324 | 0.5250 | 0.4681 | 0.5250 | 0.7246 |
| No log | 0.8380 | 326 | 0.5320 | 0.5253 | 0.5320 | 0.7294 |
| No log | 0.8432 | 328 | 0.4825 | 0.5053 | 0.4825 | 0.6946 |
| No log | 0.8483 | 330 | 0.4667 | 0.4666 | 0.4667 | 0.6832 |
| No log | 0.8535 | 332 | 0.4557 | 0.5208 | 0.4557 | 0.6750 |
| No log | 0.8586 | 334 | 0.4649 | 0.5286 | 0.4649 | 0.6818 |
| No log | 0.8638 | 336 | 0.4720 | 0.5408 | 0.4720 | 0.6870 |
| No log | 0.8689 | 338 | 0.4720 | 0.5090 | 0.4720 | 0.6870 |
| No log | 0.8740 | 340 | 0.4633 | 0.5394 | 0.4633 | 0.6807 |
| No log | 0.8792 | 342 | 0.4862 | 0.5372 | 0.4862 | 0.6973 |
| No log | 0.8843 | 344 | 0.5721 | 0.5510 | 0.5721 | 0.7564 |
| No log | 0.8895 | 346 | 0.7939 | 0.4588 | 0.7939 | 0.8910 |
| No log | 0.8946 | 348 | 0.8576 | 0.3951 | 0.8576 | 0.9260 |
| No log | 0.8997 | 350 | 0.6966 | 0.4815 | 0.6966 | 0.8346 |
| No log | 0.9049 | 352 | 0.5705 | 0.5189 | 0.5705 | 0.7553 |
| No log | 0.9100 | 354 | 0.5220 | 0.5013 | 0.5220 | 0.7225 |
| No log | 0.9152 | 356 | 0.5820 | 0.5494 | 0.5820 | 0.7629 |
| No log | 0.9203 | 358 | 0.7439 | 0.5036 | 0.7439 | 0.8625 |
| No log | 0.9254 | 360 | 0.6732 | 0.5195 | 0.6732 | 0.8205 |
| No log | 0.9306 | 362 | 0.4886 | 0.5138 | 0.4886 | 0.6990 |
| No log | 0.9357 | 364 | 0.4985 | 0.4153 | 0.4985 | 0.7061 |
| No log | 0.9409 | 366 | 0.5227 | 0.3879 | 0.5227 | 0.7230 |
| No log | 0.9460 | 368 | 0.4700 | 0.4772 | 0.4700 | 0.6856 |
| No log | 0.9512 | 370 | 0.5071 | 0.5468 | 0.5071 | 0.7121 |
| No log | 0.9563 | 372 | 0.5819 | 0.5450 | 0.5819 | 0.7628 |
| No log | 0.9614 | 374 | 0.5248 | 0.5394 | 0.5248 | 0.7244 |
| No log | 0.9666 | 376 | 0.4763 | 0.4821 | 0.4763 | 0.6901 |
| No log | 0.9717 | 378 | 0.4905 | 0.4417 | 0.4905 | 0.7004 |
| No log | 0.9769 | 380 | 0.4829 | 0.4738 | 0.4829 | 0.6949 |
| No log | 0.9820 | 382 | 0.5657 | 0.5193 | 0.5657 | 0.7521 |
| No log | 0.9871 | 384 | 0.7036 | 0.5190 | 0.7036 | 0.8388 |
| No log | 0.9923 | 386 | 0.6313 | 0.5412 | 0.6313 | 0.7945 |
| No log | 0.9974 | 388 | 0.4861 | 0.4993 | 0.4861 | 0.6972 |
| No log | 1.0026 | 390 | 0.4721 | 0.4625 | 0.4721 | 0.6871 |
| No log | 1.0077 | 392 | 0.4816 | 0.4456 | 0.4816 | 0.6940 |
| No log | 1.0129 | 394 | 0.4607 | 0.4838 | 0.4607 | 0.6787 |
| No log | 1.0180 | 396 | 0.4668 | 0.5060 | 0.4668 | 0.6832 |
| No log | 1.0231 | 398 | 0.4631 | 0.5200 | 0.4631 | 0.6805 |
| No log | 1.0283 | 400 | 0.4655 | 0.4533 | 0.4655 | 0.6823 |
| No log | 1.0334 | 402 | 0.5081 | 0.4148 | 0.5081 | 0.7128 |
| No log | 1.0386 | 404 | 0.4766 | 0.4245 | 0.4766 | 0.6904 |
| No log | 1.0437 | 406 | 0.4818 | 0.4912 | 0.4818 | 0.6941 |
| No log | 1.0488 | 408 | 0.5238 | 0.5213 | 0.5238 | 0.7238 |
| No log | 1.0540 | 410 | 0.4926 | 0.4612 | 0.4926 | 0.7019 |
| No log | 1.0591 | 412 | 0.5061 | 0.4156 | 0.5061 | 0.7114 |
| No log | 1.0643 | 414 | 0.5041 | 0.4209 | 0.5041 | 0.7100 |
| No log | 1.0694 | 416 | 0.5551 | 0.4780 | 0.5551 | 0.7451 |
| No log | 1.0746 | 418 | 0.5774 | 0.5102 | 0.5774 | 0.7599 |
| No log | 1.0797 | 420 | 0.5050 | 0.5034 | 0.5050 | 0.7106 |
| No log | 1.0848 | 422 | 0.4807 | 0.5015 | 0.4807 | 0.6933 |
| No log | 1.0900 | 424 | 0.4769 | 0.5189 | 0.4769 | 0.6906 |
| No log | 1.0951 | 426 | 0.4694 | 0.5283 | 0.4694 | 0.6851 |
| No log | 1.1003 | 428 | 0.4423 | 0.4854 | 0.4423 | 0.6650 |
| No log | 1.1054 | 430 | 0.4369 | 0.5068 | 0.4369 | 0.6610 |
| No log | 1.1105 | 432 | 0.4454 | 0.5455 | 0.4454 | 0.6674 |
| No log | 1.1157 | 434 | 0.4437 | 0.5512 | 0.4437 | 0.6661 |
| No log | 1.1208 | 436 | 0.4562 | 0.4929 | 0.4562 | 0.6754 |
| No log | 1.1260 | 438 | 0.4602 | 0.4870 | 0.4602 | 0.6783 |
| No log | 1.1311 | 440 | 0.4457 | 0.5258 | 0.4457 | 0.6676 |
| No log | 1.1362 | 442 | 0.4608 | 0.5101 | 0.4608 | 0.6788 |
| No log | 1.1414 | 444 | 0.4760 | 0.5264 | 0.4760 | 0.6899 |
| No log | 1.1465 | 446 | 0.5298 | 0.5349 | 0.5298 | 0.7279 |
| No log | 1.1517 | 448 | 0.5108 | 0.5336 | 0.5108 | 0.7147 |
| No log | 1.1568 | 450 | 0.5328 | 0.5322 | 0.5328 | 0.7299 |
| No log | 1.1620 | 452 | 0.5035 | 0.5248 | 0.5035 | 0.7096 |
| No log | 1.1671 | 454 | 0.5211 | 0.5226 | 0.5211 | 0.7219 |
| No log | 1.1722 | 456 | 0.4861 | 0.5296 | 0.4861 | 0.6972 |
| No log | 1.1774 | 458 | 0.4699 | 0.4930 | 0.4699 | 0.6855 |
| No log | 1.1825 | 460 | 0.4989 | 0.5226 | 0.4989 | 0.7063 |
| No log | 1.1877 | 462 | 0.6440 | 0.5366 | 0.6440 | 0.8025 |
| No log | 1.1928 | 464 | 0.7441 | 0.5185 | 0.7441 | 0.8626 |
| No log | 1.1979 | 466 | 0.6323 | 0.5209 | 0.6323 | 0.7952 |
| No log | 1.2031 | 468 | 0.4717 | 0.5118 | 0.4717 | 0.6868 |
| No log | 1.2082 | 470 | 0.4499 | 0.4895 | 0.4499 | 0.6708 |
| No log | 1.2134 | 472 | 0.4587 | 0.5022 | 0.4587 | 0.6773 |
| No log | 1.2185 | 474 | 0.5473 | 0.5565 | 0.5473 | 0.7398 |
| No log | 1.2237 | 476 | 0.5294 | 0.5544 | 0.5294 | 0.7276 |
| No log | 1.2288 | 478 | 0.4768 | 0.5068 | 0.4768 | 0.6905 |
| No log | 1.2339 | 480 | 0.4621 | 0.5117 | 0.4621 | 0.6798 |
| No log | 1.2391 | 482 | 0.4542 | 0.5083 | 0.4542 | 0.6739 |
| No log | 1.2442 | 484 | 0.4625 | 0.5366 | 0.4625 | 0.6801 |
| No log | 1.2494 | 486 | 0.4630 | 0.5530 | 0.4630 | 0.6804 |
| No log | 1.2545 | 488 | 0.4324 | 0.5327 | 0.4324 | 0.6576 |
| No log | 1.2596 | 490 | 0.4783 | 0.4953 | 0.4783 | 0.6916 |
| No log | 1.2648 | 492 | 0.4386 | 0.5386 | 0.4386 | 0.6623 |
| No log | 1.2699 | 494 | 0.5001 | 0.5708 | 0.5001 | 0.7072 |
| No log | 1.2751 | 496 | 0.4724 | 0.5244 | 0.4724 | 0.6873 |
| No log | 1.2802 | 498 | 0.4831 | 0.5095 | 0.4831 | 0.6950 |
| 0.5324 | 1.2853 | 500 | 0.5707 | 0.5382 | 0.5707 | 0.7554 |
| 0.5324 | 1.2905 | 502 | 0.6423 | 0.5507 | 0.6423 | 0.8014 |
| 0.5324 | 1.2956 | 504 | 0.5986 | 0.5476 | 0.5986 | 0.7737 |
| 0.5324 | 1.3008 | 506 | 0.4654 | 0.5226 | 0.4654 | 0.6822 |
| 0.5324 | 1.3059 | 508 | 0.5024 | 0.3636 | 0.5024 | 0.7088 |
| 0.5324 | 1.3111 | 510 | 0.5388 | 0.3602 | 0.5388 | 0.7340 |
| 0.5324 | 1.3162 | 512 | 0.4840 | 0.4043 | 0.4840 | 0.6957 |
| 0.5324 | 1.3213 | 514 | 0.4564 | 0.5184 | 0.4564 | 0.6756 |
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_k25_task1_organization_fold0
Base model
google-bert/bert-base-uncased