Instructions to use MayBashendy/ASAP_FineTuningBERT_Aug_k25_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_k25_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_k25_task1_organization_fold3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k25_task1_organization_fold3") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k25_task1_organization_fold3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ASAP_FineTuningBERT_Aug_k25_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: 0.5556
- Qwk: 0.5224
- Mse: 0.5556
- Rmse: 0.7454
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 | 0.0050 | 2 | 9.7520 | 0.0 | 9.7520 | 3.1228 |
| No log | 0.0101 | 4 | 8.6533 | -0.0131 | 8.6533 | 2.9417 |
| No log | 0.0151 | 6 | 7.5175 | -0.0003 | 7.5175 | 2.7418 |
| No log | 0.0202 | 8 | 6.4768 | 0.0 | 6.4768 | 2.5450 |
| No log | 0.0252 | 10 | 5.3497 | 0.0 | 5.3497 | 2.3129 |
| No log | 0.0302 | 12 | 4.3317 | 0.0 | 4.3317 | 2.0813 |
| No log | 0.0353 | 14 | 3.6092 | 0.0302 | 3.6092 | 1.8998 |
| No log | 0.0403 | 16 | 2.6732 | 0.0 | 2.6732 | 1.6350 |
| No log | 0.0453 | 18 | 2.0411 | 0.0 | 2.0411 | 1.4287 |
| No log | 0.0504 | 20 | 1.5520 | 0.0227 | 1.5520 | 1.2458 |
| No log | 0.0554 | 22 | 1.1962 | 0.0391 | 1.1962 | 1.0937 |
| No log | 0.0605 | 24 | 0.9318 | 0.0102 | 0.9318 | 0.9653 |
| No log | 0.0655 | 26 | 0.8502 | 0.0 | 0.8502 | 0.9221 |
| No log | 0.0705 | 28 | 0.8846 | 0.0 | 0.8846 | 0.9405 |
| No log | 0.0756 | 30 | 1.1044 | 0.0 | 1.1044 | 1.0509 |
| No log | 0.0806 | 32 | 1.3661 | -0.0034 | 1.3661 | 1.1688 |
| No log | 0.0856 | 34 | 0.9442 | 0.0 | 0.9442 | 0.9717 |
| No log | 0.0907 | 36 | 0.9058 | 0.0 | 0.9058 | 0.9517 |
| No log | 0.0957 | 38 | 0.9003 | 0.0 | 0.9003 | 0.9488 |
| No log | 0.1008 | 40 | 0.8676 | 0.0 | 0.8676 | 0.9315 |
| No log | 0.1058 | 42 | 0.8557 | 0.0 | 0.8557 | 0.9250 |
| No log | 0.1108 | 44 | 0.8518 | 0.0 | 0.8518 | 0.9229 |
| No log | 0.1159 | 46 | 0.8772 | 0.0 | 0.8772 | 0.9366 |
| No log | 0.1209 | 48 | 0.8383 | 0.0 | 0.8383 | 0.9156 |
| No log | 0.1259 | 50 | 0.8199 | 0.0 | 0.8199 | 0.9055 |
| No log | 0.1310 | 52 | 0.8398 | 0.0 | 0.8398 | 0.9164 |
| No log | 0.1360 | 54 | 0.9292 | 0.0302 | 0.9292 | 0.9639 |
| No log | 0.1411 | 56 | 0.9346 | 0.0302 | 0.9346 | 0.9668 |
| No log | 0.1461 | 58 | 0.8611 | 0.0102 | 0.8611 | 0.9279 |
| No log | 0.1511 | 60 | 0.7979 | 0.0 | 0.7979 | 0.8933 |
| No log | 0.1562 | 62 | 0.8010 | 0.0046 | 0.8010 | 0.8950 |
| No log | 0.1612 | 64 | 0.8017 | 0.0 | 0.8017 | 0.8954 |
| No log | 0.1662 | 66 | 0.8431 | 0.0 | 0.8431 | 0.9182 |
| No log | 0.1713 | 68 | 0.8873 | 0.0102 | 0.8873 | 0.9420 |
| No log | 0.1763 | 70 | 0.8479 | 0.0102 | 0.8479 | 0.9208 |
| No log | 0.1814 | 72 | 0.7871 | 0.0102 | 0.7871 | 0.8872 |
| No log | 0.1864 | 74 | 0.7710 | 0.0102 | 0.7710 | 0.8781 |
| No log | 0.1914 | 76 | 0.7572 | 0.0102 | 0.7572 | 0.8702 |
| No log | 0.1965 | 78 | 0.7562 | 0.0102 | 0.7562 | 0.8696 |
| No log | 0.2015 | 80 | 0.7512 | 0.0202 | 0.7512 | 0.8667 |
| No log | 0.2065 | 82 | 0.7240 | 0.0202 | 0.7240 | 0.8509 |
| No log | 0.2116 | 84 | 0.7113 | 0.0528 | 0.7113 | 0.8434 |
| No log | 0.2166 | 86 | 0.7426 | 0.0823 | 0.7426 | 0.8617 |
| No log | 0.2217 | 88 | 0.7080 | 0.0941 | 0.7080 | 0.8414 |
| No log | 0.2267 | 90 | 0.6663 | 0.2173 | 0.6663 | 0.8163 |
| No log | 0.2317 | 92 | 0.6791 | 0.3164 | 0.6791 | 0.8241 |
| No log | 0.2368 | 94 | 0.7134 | 0.3368 | 0.7134 | 0.8446 |
| No log | 0.2418 | 96 | 0.7064 | 0.3315 | 0.7064 | 0.8405 |
| No log | 0.2469 | 98 | 0.6833 | 0.2923 | 0.6833 | 0.8266 |
| No log | 0.2519 | 100 | 0.6851 | 0.2878 | 0.6851 | 0.8277 |
| No log | 0.2569 | 102 | 0.7664 | 0.2937 | 0.7664 | 0.8754 |
| No log | 0.2620 | 104 | 0.7825 | 0.3191 | 0.7825 | 0.8846 |
| No log | 0.2670 | 106 | 0.7185 | 0.3361 | 0.7185 | 0.8477 |
| No log | 0.2720 | 108 | 0.6381 | 0.3109 | 0.6381 | 0.7988 |
| No log | 0.2771 | 110 | 0.7404 | 0.1881 | 0.7404 | 0.8605 |
| No log | 0.2821 | 112 | 0.7579 | 0.1990 | 0.7579 | 0.8705 |
| No log | 0.2872 | 114 | 0.6101 | 0.3372 | 0.6101 | 0.7811 |
| No log | 0.2922 | 116 | 0.5909 | 0.3507 | 0.5909 | 0.7687 |
| No log | 0.2972 | 118 | 0.5919 | 0.3217 | 0.5919 | 0.7694 |
| No log | 0.3023 | 120 | 0.7941 | 0.1985 | 0.7941 | 0.8911 |
| No log | 0.3073 | 122 | 0.8998 | 0.1939 | 0.8998 | 0.9486 |
| No log | 0.3123 | 124 | 0.7490 | 0.2051 | 0.7490 | 0.8655 |
| No log | 0.3174 | 126 | 0.6106 | 0.3041 | 0.6106 | 0.7814 |
| No log | 0.3224 | 128 | 0.5888 | 0.3392 | 0.5888 | 0.7673 |
| No log | 0.3275 | 130 | 0.5899 | 0.3462 | 0.5899 | 0.7680 |
| No log | 0.3325 | 132 | 0.5815 | 0.4184 | 0.5815 | 0.7626 |
| No log | 0.3375 | 134 | 0.6438 | 0.4185 | 0.6438 | 0.8024 |
| No log | 0.3426 | 136 | 0.7024 | 0.3371 | 0.7024 | 0.8381 |
| No log | 0.3476 | 138 | 0.7343 | 0.1600 | 0.7343 | 0.8569 |
| No log | 0.3526 | 140 | 0.7553 | 0.1137 | 0.7553 | 0.8691 |
| No log | 0.3577 | 142 | 0.7490 | 0.0664 | 0.7490 | 0.8654 |
| No log | 0.3627 | 144 | 0.7480 | 0.0455 | 0.7480 | 0.8649 |
| No log | 0.3678 | 146 | 0.7535 | 0.0401 | 0.7535 | 0.8681 |
| No log | 0.3728 | 148 | 0.7354 | 0.0438 | 0.7354 | 0.8575 |
| No log | 0.3778 | 150 | 0.7245 | 0.2736 | 0.7245 | 0.8512 |
| No log | 0.3829 | 152 | 0.7444 | 0.3583 | 0.7444 | 0.8628 |
| No log | 0.3879 | 154 | 0.7537 | 0.3745 | 0.7537 | 0.8682 |
| No log | 0.3929 | 156 | 0.7114 | 0.3978 | 0.7114 | 0.8434 |
| No log | 0.3980 | 158 | 0.6636 | 0.2418 | 0.6636 | 0.8146 |
| No log | 0.4030 | 160 | 0.6492 | 0.2668 | 0.6492 | 0.8058 |
| No log | 0.4081 | 162 | 0.6331 | 0.3891 | 0.6331 | 0.7957 |
| No log | 0.4131 | 164 | 0.6752 | 0.4437 | 0.6752 | 0.8217 |
| No log | 0.4181 | 166 | 0.6522 | 0.4451 | 0.6522 | 0.8076 |
| No log | 0.4232 | 168 | 0.5866 | 0.4277 | 0.5866 | 0.7659 |
| No log | 0.4282 | 170 | 0.5917 | 0.3021 | 0.5917 | 0.7692 |
| No log | 0.4332 | 172 | 0.5969 | 0.2927 | 0.5969 | 0.7726 |
| No log | 0.4383 | 174 | 0.5895 | 0.3811 | 0.5895 | 0.7678 |
| No log | 0.4433 | 176 | 0.6055 | 0.4440 | 0.6055 | 0.7781 |
| No log | 0.4484 | 178 | 0.6387 | 0.4444 | 0.6387 | 0.7992 |
| No log | 0.4534 | 180 | 0.6484 | 0.4476 | 0.6484 | 0.8052 |
| No log | 0.4584 | 182 | 0.5835 | 0.4516 | 0.5835 | 0.7639 |
| No log | 0.4635 | 184 | 0.5590 | 0.4499 | 0.5590 | 0.7476 |
| No log | 0.4685 | 186 | 0.5643 | 0.4814 | 0.5643 | 0.7512 |
| No log | 0.4736 | 188 | 0.5551 | 0.5038 | 0.5551 | 0.7450 |
| No log | 0.4786 | 190 | 0.5440 | 0.5039 | 0.5440 | 0.7376 |
| No log | 0.4836 | 192 | 0.5267 | 0.5052 | 0.5267 | 0.7257 |
| No log | 0.4887 | 194 | 0.5254 | 0.5202 | 0.5254 | 0.7249 |
| No log | 0.4937 | 196 | 0.5071 | 0.4952 | 0.5071 | 0.7121 |
| No log | 0.4987 | 198 | 0.5086 | 0.5107 | 0.5086 | 0.7131 |
| No log | 0.5038 | 200 | 0.5390 | 0.5276 | 0.5390 | 0.7342 |
| No log | 0.5088 | 202 | 0.5096 | 0.4906 | 0.5096 | 0.7139 |
| No log | 0.5139 | 204 | 0.5293 | 0.4014 | 0.5293 | 0.7276 |
| No log | 0.5189 | 206 | 0.5170 | 0.4579 | 0.5170 | 0.7190 |
| No log | 0.5239 | 208 | 0.5372 | 0.5054 | 0.5372 | 0.7330 |
| No log | 0.5290 | 210 | 0.5408 | 0.4934 | 0.5408 | 0.7354 |
| No log | 0.5340 | 212 | 0.5461 | 0.4345 | 0.5461 | 0.7390 |
| No log | 0.5390 | 214 | 0.5558 | 0.4349 | 0.5558 | 0.7455 |
| No log | 0.5441 | 216 | 0.5955 | 0.4740 | 0.5955 | 0.7717 |
| No log | 0.5491 | 218 | 0.6038 | 0.4706 | 0.6038 | 0.7771 |
| No log | 0.5542 | 220 | 0.6108 | 0.4526 | 0.6108 | 0.7815 |
| No log | 0.5592 | 222 | 0.5565 | 0.4788 | 0.5565 | 0.7460 |
| No log | 0.5642 | 224 | 0.5396 | 0.3726 | 0.5396 | 0.7346 |
| No log | 0.5693 | 226 | 0.5254 | 0.3922 | 0.5254 | 0.7249 |
| No log | 0.5743 | 228 | 0.5320 | 0.4351 | 0.5320 | 0.7294 |
| No log | 0.5793 | 230 | 0.5904 | 0.3792 | 0.5904 | 0.7684 |
| No log | 0.5844 | 232 | 0.5747 | 0.3785 | 0.5747 | 0.7581 |
| No log | 0.5894 | 234 | 0.5731 | 0.3221 | 0.5731 | 0.7570 |
| No log | 0.5945 | 236 | 0.5631 | 0.3535 | 0.5631 | 0.7504 |
| No log | 0.5995 | 238 | 0.5821 | 0.4920 | 0.5821 | 0.7630 |
| No log | 0.6045 | 240 | 0.6010 | 0.4967 | 0.6010 | 0.7753 |
| No log | 0.6096 | 242 | 0.5565 | 0.4544 | 0.5565 | 0.7460 |
| No log | 0.6146 | 244 | 0.5879 | 0.3230 | 0.5879 | 0.7668 |
| No log | 0.6196 | 246 | 0.7052 | 0.2772 | 0.7052 | 0.8398 |
| No log | 0.6247 | 248 | 0.6047 | 0.3602 | 0.6047 | 0.7777 |
| No log | 0.6297 | 250 | 0.5302 | 0.4953 | 0.5302 | 0.7281 |
| No log | 0.6348 | 252 | 0.6080 | 0.5067 | 0.6080 | 0.7797 |
| No log | 0.6398 | 254 | 0.7017 | 0.4958 | 0.7017 | 0.8377 |
| No log | 0.6448 | 256 | 0.6981 | 0.4712 | 0.6981 | 0.8356 |
| No log | 0.6499 | 258 | 0.6196 | 0.4687 | 0.6196 | 0.7871 |
| No log | 0.6549 | 260 | 0.6003 | 0.4290 | 0.6003 | 0.7748 |
| No log | 0.6599 | 262 | 0.5966 | 0.4180 | 0.5966 | 0.7724 |
| No log | 0.6650 | 264 | 0.6037 | 0.4338 | 0.6037 | 0.7770 |
| No log | 0.6700 | 266 | 0.5751 | 0.4220 | 0.5751 | 0.7583 |
| No log | 0.6751 | 268 | 0.5891 | 0.3953 | 0.5891 | 0.7675 |
| No log | 0.6801 | 270 | 0.6243 | 0.3644 | 0.6243 | 0.7901 |
| No log | 0.6851 | 272 | 0.6332 | 0.3739 | 0.6332 | 0.7957 |
| No log | 0.6902 | 274 | 0.5820 | 0.4028 | 0.5820 | 0.7629 |
| No log | 0.6952 | 276 | 0.5730 | 0.4151 | 0.5730 | 0.7569 |
| No log | 0.7003 | 278 | 0.5710 | 0.4197 | 0.5710 | 0.7556 |
| No log | 0.7053 | 280 | 0.5569 | 0.4340 | 0.5569 | 0.7462 |
| No log | 0.7103 | 282 | 0.5433 | 0.4500 | 0.5433 | 0.7371 |
| No log | 0.7154 | 284 | 0.5920 | 0.5088 | 0.5920 | 0.7694 |
| No log | 0.7204 | 286 | 0.6347 | 0.5400 | 0.6347 | 0.7967 |
| No log | 0.7254 | 288 | 0.5633 | 0.5089 | 0.5633 | 0.7505 |
| No log | 0.7305 | 290 | 0.5575 | 0.5280 | 0.5575 | 0.7467 |
| No log | 0.7355 | 292 | 0.5647 | 0.5368 | 0.5647 | 0.7515 |
| No log | 0.7406 | 294 | 0.5131 | 0.4880 | 0.5131 | 0.7163 |
| No log | 0.7456 | 296 | 0.5077 | 0.4850 | 0.5077 | 0.7125 |
| No log | 0.7506 | 298 | 0.5363 | 0.5317 | 0.5363 | 0.7323 |
| No log | 0.7557 | 300 | 0.6210 | 0.5701 | 0.6210 | 0.7880 |
| No log | 0.7607 | 302 | 0.6013 | 0.5629 | 0.6013 | 0.7754 |
| No log | 0.7657 | 304 | 0.5945 | 0.5589 | 0.5945 | 0.7710 |
| No log | 0.7708 | 306 | 0.5133 | 0.5335 | 0.5133 | 0.7164 |
| No log | 0.7758 | 308 | 0.5062 | 0.5046 | 0.5062 | 0.7115 |
| No log | 0.7809 | 310 | 0.5242 | 0.5225 | 0.5242 | 0.7240 |
| No log | 0.7859 | 312 | 0.6175 | 0.5834 | 0.6175 | 0.7858 |
| No log | 0.7909 | 314 | 0.7733 | 0.5390 | 0.7733 | 0.8794 |
| No log | 0.7960 | 316 | 0.8721 | 0.5368 | 0.8721 | 0.9339 |
| No log | 0.8010 | 318 | 0.8567 | 0.5417 | 0.8567 | 0.9256 |
| No log | 0.8060 | 320 | 0.7359 | 0.5343 | 0.7359 | 0.8579 |
| No log | 0.8111 | 322 | 0.6201 | 0.5316 | 0.6201 | 0.7874 |
| No log | 0.8161 | 324 | 0.6449 | 0.5587 | 0.6449 | 0.8030 |
| No log | 0.8212 | 326 | 0.6496 | 0.5692 | 0.6496 | 0.8060 |
| No log | 0.8262 | 328 | 0.6530 | 0.5641 | 0.6530 | 0.8081 |
| No log | 0.8312 | 330 | 0.6347 | 0.5783 | 0.6347 | 0.7967 |
| No log | 0.8363 | 332 | 0.7094 | 0.6033 | 0.7094 | 0.8423 |
| No log | 0.8413 | 334 | 0.6052 | 0.6101 | 0.6052 | 0.7779 |
| No log | 0.8463 | 336 | 0.4829 | 0.4687 | 0.4829 | 0.6949 |
| No log | 0.8514 | 338 | 0.5039 | 0.3858 | 0.5039 | 0.7098 |
| No log | 0.8564 | 340 | 0.4832 | 0.4286 | 0.4832 | 0.6951 |
| No log | 0.8615 | 342 | 0.5529 | 0.5818 | 0.5529 | 0.7436 |
| No log | 0.8665 | 344 | 0.7668 | 0.6319 | 0.7668 | 0.8757 |
| No log | 0.8715 | 346 | 0.7005 | 0.6392 | 0.7005 | 0.8370 |
| No log | 0.8766 | 348 | 0.5192 | 0.5464 | 0.5192 | 0.7205 |
| No log | 0.8816 | 350 | 0.4669 | 0.4959 | 0.4669 | 0.6833 |
| No log | 0.8866 | 352 | 0.4547 | 0.5187 | 0.4547 | 0.6743 |
| No log | 0.8917 | 354 | 0.4896 | 0.6214 | 0.4896 | 0.6997 |
| No log | 0.8967 | 356 | 0.5344 | 0.6271 | 0.5344 | 0.7311 |
| No log | 0.9018 | 358 | 0.5650 | 0.5879 | 0.5650 | 0.7516 |
| No log | 0.9068 | 360 | 0.4896 | 0.5519 | 0.4896 | 0.6997 |
| No log | 0.9118 | 362 | 0.4718 | 0.4607 | 0.4718 | 0.6869 |
| No log | 0.9169 | 364 | 0.5103 | 0.3911 | 0.5103 | 0.7144 |
| No log | 0.9219 | 366 | 0.4858 | 0.4303 | 0.4858 | 0.6970 |
| No log | 0.9270 | 368 | 0.5186 | 0.5399 | 0.5186 | 0.7201 |
| No log | 0.9320 | 370 | 0.6726 | 0.5547 | 0.6726 | 0.8201 |
| No log | 0.9370 | 372 | 0.7266 | 0.5445 | 0.7266 | 0.8524 |
| No log | 0.9421 | 374 | 0.6030 | 0.5578 | 0.6030 | 0.7765 |
| No log | 0.9471 | 376 | 0.4861 | 0.5024 | 0.4861 | 0.6972 |
| No log | 0.9521 | 378 | 0.4749 | 0.4841 | 0.4749 | 0.6891 |
| No log | 0.9572 | 380 | 0.4867 | 0.5196 | 0.4867 | 0.6976 |
| No log | 0.9622 | 382 | 0.5880 | 0.6109 | 0.5880 | 0.7668 |
| No log | 0.9673 | 384 | 0.6338 | 0.6099 | 0.6338 | 0.7961 |
| No log | 0.9723 | 386 | 0.5397 | 0.5866 | 0.5397 | 0.7346 |
| No log | 0.9773 | 388 | 0.4731 | 0.5384 | 0.4731 | 0.6878 |
| No log | 0.9824 | 390 | 0.4640 | 0.5449 | 0.4640 | 0.6812 |
| No log | 0.9874 | 392 | 0.4843 | 0.5738 | 0.4843 | 0.6959 |
| No log | 0.9924 | 394 | 0.5482 | 0.6089 | 0.5482 | 0.7404 |
| No log | 0.9975 | 396 | 0.5979 | 0.6313 | 0.5979 | 0.7732 |
| No log | 1.0025 | 398 | 0.5444 | 0.6133 | 0.5444 | 0.7378 |
| No log | 1.0076 | 400 | 0.4692 | 0.5555 | 0.4692 | 0.6850 |
| No log | 1.0126 | 402 | 0.4673 | 0.5556 | 0.4673 | 0.6836 |
| No log | 1.0176 | 404 | 0.4933 | 0.5553 | 0.4933 | 0.7023 |
| No log | 1.0227 | 406 | 0.5472 | 0.5814 | 0.5472 | 0.7397 |
| No log | 1.0277 | 408 | 0.5850 | 0.6674 | 0.5850 | 0.7649 |
| No log | 1.0327 | 410 | 0.5383 | 0.6550 | 0.5383 | 0.7337 |
| No log | 1.0378 | 412 | 0.4838 | 0.6250 | 0.4838 | 0.6955 |
| No log | 1.0428 | 414 | 0.4444 | 0.5784 | 0.4444 | 0.6666 |
| No log | 1.0479 | 416 | 0.4410 | 0.5748 | 0.4410 | 0.6641 |
| No log | 1.0529 | 418 | 0.5457 | 0.6920 | 0.5457 | 0.7387 |
| No log | 1.0579 | 420 | 0.8469 | 0.6664 | 0.8469 | 0.9203 |
| No log | 1.0630 | 422 | 0.8600 | 0.6559 | 0.8600 | 0.9274 |
| No log | 1.0680 | 424 | 0.6393 | 0.6514 | 0.6393 | 0.7996 |
| No log | 1.0730 | 426 | 0.5659 | 0.6186 | 0.5659 | 0.7523 |
| No log | 1.0781 | 428 | 0.6438 | 0.6188 | 0.6438 | 0.8024 |
| No log | 1.0831 | 430 | 0.9242 | 0.5879 | 0.9242 | 0.9613 |
| No log | 1.0882 | 432 | 1.0173 | 0.5624 | 1.0173 | 1.0086 |
| No log | 1.0932 | 434 | 0.8290 | 0.6346 | 0.8290 | 0.9105 |
| No log | 1.0982 | 436 | 0.6078 | 0.6363 | 0.6078 | 0.7796 |
| No log | 1.1033 | 438 | 0.5590 | 0.6142 | 0.5590 | 0.7476 |
| No log | 1.1083 | 440 | 0.6503 | 0.6396 | 0.6503 | 0.8064 |
| No log | 1.1134 | 442 | 0.7739 | 0.6313 | 0.7739 | 0.8797 |
| No log | 1.1184 | 444 | 0.8502 | 0.6452 | 0.8502 | 0.9220 |
| No log | 1.1234 | 446 | 0.7136 | 0.6977 | 0.7136 | 0.8447 |
| No log | 1.1285 | 448 | 0.5650 | 0.6386 | 0.5650 | 0.7517 |
| No log | 1.1335 | 450 | 0.5577 | 0.6102 | 0.5577 | 0.7468 |
| No log | 1.1385 | 452 | 0.5719 | 0.6153 | 0.5719 | 0.7562 |
| No log | 1.1436 | 454 | 0.5583 | 0.6054 | 0.5583 | 0.7472 |
| No log | 1.1486 | 456 | 0.5642 | 0.6237 | 0.5642 | 0.7512 |
| No log | 1.1537 | 458 | 0.6436 | 0.6663 | 0.6436 | 0.8023 |
| No log | 1.1587 | 460 | 0.5888 | 0.6438 | 0.5888 | 0.7673 |
| No log | 1.1637 | 462 | 0.5000 | 0.5865 | 0.5000 | 0.7071 |
| No log | 1.1688 | 464 | 0.4963 | 0.5872 | 0.4963 | 0.7045 |
| No log | 1.1738 | 466 | 0.5059 | 0.5484 | 0.5059 | 0.7112 |
| No log | 1.1788 | 468 | 0.5773 | 0.5564 | 0.5773 | 0.7598 |
| No log | 1.1839 | 470 | 0.6057 | 0.5129 | 0.6057 | 0.7783 |
| No log | 1.1889 | 472 | 0.5604 | 0.4631 | 0.5604 | 0.7486 |
| No log | 1.1940 | 474 | 0.5590 | 0.4561 | 0.5590 | 0.7477 |
| No log | 1.1990 | 476 | 0.5697 | 0.4616 | 0.5697 | 0.7548 |
| No log | 1.2040 | 478 | 0.5601 | 0.4519 | 0.5601 | 0.7484 |
| No log | 1.2091 | 480 | 0.5532 | 0.4285 | 0.5532 | 0.7438 |
| No log | 1.2141 | 482 | 0.5529 | 0.4711 | 0.5529 | 0.7436 |
| No log | 1.2191 | 484 | 0.5829 | 0.5230 | 0.5829 | 0.7635 |
| No log | 1.2242 | 486 | 0.5502 | 0.5387 | 0.5502 | 0.7418 |
| No log | 1.2292 | 488 | 0.5390 | 0.5369 | 0.5390 | 0.7342 |
| No log | 1.2343 | 490 | 0.5133 | 0.4771 | 0.5133 | 0.7165 |
| No log | 1.2393 | 492 | 0.5008 | 0.4814 | 0.5008 | 0.7077 |
| No log | 1.2443 | 494 | 0.5070 | 0.5654 | 0.5070 | 0.7121 |
| No log | 1.2494 | 496 | 0.5102 | 0.5793 | 0.5102 | 0.7143 |
| No log | 1.2544 | 498 | 0.4905 | 0.5732 | 0.4905 | 0.7003 |
| 0.497 | 1.2594 | 500 | 0.5127 | 0.5977 | 0.5127 | 0.7161 |
| 0.497 | 1.2645 | 502 | 0.4903 | 0.5851 | 0.4903 | 0.7002 |
| 0.497 | 1.2695 | 504 | 0.4803 | 0.5344 | 0.4803 | 0.6930 |
| 0.497 | 1.2746 | 506 | 0.4867 | 0.5307 | 0.4867 | 0.6977 |
| 0.497 | 1.2796 | 508 | 0.5392 | 0.6002 | 0.5392 | 0.7343 |
| 0.497 | 1.2846 | 510 | 0.5621 | 0.5935 | 0.5621 | 0.7497 |
| 0.497 | 1.2897 | 512 | 0.5588 | 0.5680 | 0.5588 | 0.7475 |
| 0.497 | 1.2947 | 514 | 0.5423 | 0.5241 | 0.5423 | 0.7364 |
| 0.497 | 1.2997 | 516 | 0.5627 | 0.5325 | 0.5627 | 0.7502 |
| 0.497 | 1.3048 | 518 | 0.5556 | 0.5224 | 0.5556 | 0.7454 |
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_fold3
Base model
google-bert/bert-base-uncased