Instructions to use MayBashendy/ASAP_FineTuningBERT_Aug_k20_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_k20_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_k20_task1_organization_fold1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k20_task1_organization_fold1") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ASAP_FineTuningBERT_Aug_k20_task1_organization_fold1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ASAP_FineTuningBERT_Aug_k20_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: 0.4063
- Qwk: 0.5441
- Mse: 0.4063
- Rmse: 0.6374
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 | 0.0060 | 2 | 9.8538 | 0.0 | 9.8538 | 3.1391 |
| No log | 0.0120 | 4 | 7.5205 | 0.0213 | 7.5205 | 2.7424 |
| No log | 0.0181 | 6 | 6.8656 | 0.0018 | 6.8656 | 2.6202 |
| No log | 0.0241 | 8 | 6.0945 | 0.0 | 6.0945 | 2.4687 |
| No log | 0.0301 | 10 | 5.6492 | 0.0 | 5.6492 | 2.3768 |
| No log | 0.0361 | 12 | 4.8146 | 0.0 | 4.8146 | 2.1942 |
| No log | 0.0422 | 14 | 4.1150 | 0.0 | 4.1150 | 2.0285 |
| No log | 0.0482 | 16 | 3.3946 | 0.0297 | 3.3946 | 1.8424 |
| No log | 0.0542 | 18 | 2.7416 | 0.0118 | 2.7416 | 1.6558 |
| No log | 0.0602 | 20 | 2.1167 | 0.0079 | 2.1167 | 1.4549 |
| No log | 0.0663 | 22 | 1.6121 | 0.0 | 1.6121 | 1.2697 |
| No log | 0.0723 | 24 | 1.2816 | 0.1643 | 1.2816 | 1.1321 |
| No log | 0.0783 | 26 | 1.0878 | 0.1060 | 1.0878 | 1.0430 |
| No log | 0.0843 | 28 | 0.9893 | 0.0211 | 0.9893 | 0.9946 |
| No log | 0.0904 | 30 | 0.8874 | 0.0211 | 0.8874 | 0.9420 |
| No log | 0.0964 | 32 | 0.8744 | 0.0211 | 0.8744 | 0.9351 |
| No log | 0.1024 | 34 | 0.8581 | 0.0106 | 0.8581 | 0.9263 |
| No log | 0.1084 | 36 | 0.8897 | 0.0106 | 0.8897 | 0.9432 |
| No log | 0.1145 | 38 | 0.8408 | 0.0106 | 0.8408 | 0.9170 |
| No log | 0.1205 | 40 | 0.9843 | 0.1325 | 0.9843 | 0.9921 |
| No log | 0.1265 | 42 | 1.0066 | 0.0 | 1.0066 | 1.0033 |
| No log | 0.1325 | 44 | 0.9551 | 0.0 | 0.9551 | 0.9773 |
| No log | 0.1386 | 46 | 0.8306 | 0.0 | 0.8306 | 0.9114 |
| No log | 0.1446 | 48 | 0.7559 | 0.0106 | 0.7559 | 0.8694 |
| No log | 0.1506 | 50 | 0.7449 | 0.0106 | 0.7449 | 0.8630 |
| No log | 0.1566 | 52 | 0.7499 | 0.0106 | 0.7499 | 0.8660 |
| No log | 0.1627 | 54 | 0.8259 | 0.0106 | 0.8259 | 0.9088 |
| No log | 0.1687 | 56 | 0.8342 | 0.0106 | 0.8342 | 0.9134 |
| No log | 0.1747 | 58 | 0.8480 | 0.0106 | 0.8480 | 0.9209 |
| No log | 0.1807 | 60 | 0.8004 | 0.0106 | 0.8004 | 0.8947 |
| No log | 0.1867 | 62 | 0.8020 | 0.0106 | 0.8020 | 0.8955 |
| No log | 0.1928 | 64 | 0.7901 | 0.0132 | 0.7901 | 0.8889 |
| No log | 0.1988 | 66 | 0.7705 | 0.0106 | 0.7705 | 0.8778 |
| No log | 0.2048 | 68 | 0.7646 | 0.0477 | 0.7646 | 0.8744 |
| No log | 0.2108 | 70 | 0.7771 | 0.0106 | 0.7771 | 0.8816 |
| No log | 0.2169 | 72 | 0.8900 | 0.0 | 0.8900 | 0.9434 |
| No log | 0.2229 | 74 | 0.9312 | 0.0 | 0.9312 | 0.9650 |
| No log | 0.2289 | 76 | 0.7507 | 0.0211 | 0.7507 | 0.8664 |
| No log | 0.2349 | 78 | 0.8049 | 0.1726 | 0.8049 | 0.8972 |
| No log | 0.2410 | 80 | 0.7495 | 0.1392 | 0.7495 | 0.8657 |
| No log | 0.2470 | 82 | 0.6772 | 0.0570 | 0.6772 | 0.8229 |
| No log | 0.2530 | 84 | 0.6693 | 0.0803 | 0.6693 | 0.8181 |
| No log | 0.2590 | 86 | 0.6966 | 0.0999 | 0.6966 | 0.8346 |
| No log | 0.2651 | 88 | 0.7758 | 0.1809 | 0.7758 | 0.8808 |
| No log | 0.2711 | 90 | 0.6627 | 0.0620 | 0.6627 | 0.8140 |
| No log | 0.2771 | 92 | 0.6599 | 0.0941 | 0.6599 | 0.8123 |
| No log | 0.2831 | 94 | 0.6633 | 0.0669 | 0.6633 | 0.8144 |
| No log | 0.2892 | 96 | 0.6847 | 0.0604 | 0.6847 | 0.8275 |
| No log | 0.2952 | 98 | 0.8380 | 0.0052 | 0.8380 | 0.9154 |
| No log | 0.3012 | 100 | 0.9455 | 0.0 | 0.9455 | 0.9724 |
| No log | 0.3072 | 102 | 0.9850 | 0.0 | 0.9850 | 0.9925 |
| No log | 0.3133 | 104 | 0.9506 | 0.0 | 0.9506 | 0.9750 |
| No log | 0.3193 | 106 | 0.9171 | -0.0027 | 0.9171 | 0.9576 |
| No log | 0.3253 | 108 | 0.8876 | 0.0116 | 0.8876 | 0.9421 |
| No log | 0.3313 | 110 | 0.8296 | 0.0025 | 0.8296 | 0.9108 |
| No log | 0.3373 | 112 | 0.7703 | 0.0 | 0.7703 | 0.8777 |
| No log | 0.3434 | 114 | 0.7313 | 0.0211 | 0.7313 | 0.8552 |
| No log | 0.3494 | 116 | 0.7281 | 0.0276 | 0.7281 | 0.8533 |
| No log | 0.3554 | 118 | 0.7371 | 0.0211 | 0.7371 | 0.8585 |
| No log | 0.3614 | 120 | 0.8136 | 0.2752 | 0.8136 | 0.9020 |
| No log | 0.3675 | 122 | 0.8426 | 0.3032 | 0.8426 | 0.9179 |
| No log | 0.3735 | 124 | 0.8149 | 0.0 | 0.8149 | 0.9027 |
| No log | 0.3795 | 126 | 0.8598 | 0.0 | 0.8598 | 0.9273 |
| No log | 0.3855 | 128 | 0.8445 | 0.0 | 0.8445 | 0.9189 |
| No log | 0.3916 | 130 | 0.7930 | 0.0 | 0.7930 | 0.8905 |
| No log | 0.3976 | 132 | 0.7897 | 0.0742 | 0.7897 | 0.8887 |
| No log | 0.4036 | 134 | 0.7592 | 0.0779 | 0.7592 | 0.8713 |
| No log | 0.4096 | 136 | 0.7340 | 0.0250 | 0.7340 | 0.8567 |
| No log | 0.4157 | 138 | 0.7109 | 0.0631 | 0.7109 | 0.8432 |
| No log | 0.4217 | 140 | 0.7010 | 0.3134 | 0.7010 | 0.8372 |
| No log | 0.4277 | 142 | 0.7485 | 0.4716 | 0.7485 | 0.8652 |
| No log | 0.4337 | 144 | 0.7055 | 0.3984 | 0.7055 | 0.8399 |
| No log | 0.4398 | 146 | 0.6043 | 0.2866 | 0.6043 | 0.7774 |
| No log | 0.4458 | 148 | 0.6090 | 0.1808 | 0.6090 | 0.7804 |
| No log | 0.4518 | 150 | 0.6293 | 0.1585 | 0.6293 | 0.7933 |
| No log | 0.4578 | 152 | 0.6791 | 0.1350 | 0.6791 | 0.8241 |
| No log | 0.4639 | 154 | 0.7938 | 0.1901 | 0.7938 | 0.8910 |
| No log | 0.4699 | 156 | 0.7204 | 0.2131 | 0.7204 | 0.8487 |
| No log | 0.4759 | 158 | 0.6079 | 0.1893 | 0.6079 | 0.7797 |
| No log | 0.4819 | 160 | 0.6052 | 0.2001 | 0.6052 | 0.7780 |
| No log | 0.4880 | 162 | 0.6483 | 0.3653 | 0.6483 | 0.8052 |
| No log | 0.4940 | 164 | 0.6604 | 0.3441 | 0.6604 | 0.8127 |
| No log | 0.5 | 166 | 0.6017 | 0.2949 | 0.6017 | 0.7757 |
| No log | 0.5060 | 168 | 0.5814 | 0.4476 | 0.5814 | 0.7625 |
| No log | 0.5120 | 170 | 0.5913 | 0.5063 | 0.5913 | 0.7689 |
| No log | 0.5181 | 172 | 0.6019 | 0.5193 | 0.6019 | 0.7759 |
| No log | 0.5241 | 174 | 0.5463 | 0.4907 | 0.5463 | 0.7391 |
| No log | 0.5301 | 176 | 0.5484 | 0.4974 | 0.5484 | 0.7406 |
| No log | 0.5361 | 178 | 0.5551 | 0.4497 | 0.5551 | 0.7451 |
| No log | 0.5422 | 180 | 0.5884 | 0.4432 | 0.5884 | 0.7671 |
| No log | 0.5482 | 182 | 0.7529 | 0.4655 | 0.7529 | 0.8677 |
| No log | 0.5542 | 184 | 0.8098 | 0.4488 | 0.8098 | 0.8999 |
| No log | 0.5602 | 186 | 0.7082 | 0.4467 | 0.7082 | 0.8416 |
| No log | 0.5663 | 188 | 0.6004 | 0.3464 | 0.6004 | 0.7748 |
| No log | 0.5723 | 190 | 0.5929 | 0.2784 | 0.5929 | 0.7700 |
| No log | 0.5783 | 192 | 0.5549 | 0.4062 | 0.5549 | 0.7449 |
| No log | 0.5843 | 194 | 0.5563 | 0.5899 | 0.5563 | 0.7458 |
| No log | 0.5904 | 196 | 0.5644 | 0.5750 | 0.5644 | 0.7513 |
| No log | 0.5964 | 198 | 0.5137 | 0.5741 | 0.5137 | 0.7167 |
| No log | 0.6024 | 200 | 0.5335 | 0.5233 | 0.5335 | 0.7304 |
| No log | 0.6084 | 202 | 0.5050 | 0.5336 | 0.5050 | 0.7106 |
| No log | 0.6145 | 204 | 0.5118 | 0.6005 | 0.5118 | 0.7154 |
| No log | 0.6205 | 206 | 0.6248 | 0.5732 | 0.6248 | 0.7905 |
| No log | 0.6265 | 208 | 0.7111 | 0.5476 | 0.7111 | 0.8433 |
| No log | 0.6325 | 210 | 0.7781 | 0.5189 | 0.7781 | 0.8821 |
| No log | 0.6386 | 212 | 0.8434 | 0.4931 | 0.8434 | 0.9184 |
| No log | 0.6446 | 214 | 0.8126 | 0.5209 | 0.8126 | 0.9014 |
| No log | 0.6506 | 216 | 0.6383 | 0.5970 | 0.6383 | 0.7989 |
| No log | 0.6566 | 218 | 0.5315 | 0.6014 | 0.5315 | 0.7290 |
| No log | 0.6627 | 220 | 0.5624 | 0.4525 | 0.5624 | 0.7499 |
| No log | 0.6687 | 222 | 0.6333 | 0.3337 | 0.6333 | 0.7958 |
| No log | 0.6747 | 224 | 0.5795 | 0.3624 | 0.5795 | 0.7612 |
| No log | 0.6807 | 226 | 0.5073 | 0.5486 | 0.5073 | 0.7122 |
| No log | 0.6867 | 228 | 0.5600 | 0.6066 | 0.5600 | 0.7484 |
| No log | 0.6928 | 230 | 0.6215 | 0.5835 | 0.6215 | 0.7883 |
| No log | 0.6988 | 232 | 0.5686 | 0.5877 | 0.5686 | 0.7540 |
| No log | 0.7048 | 234 | 0.6028 | 0.5796 | 0.6028 | 0.7764 |
| No log | 0.7108 | 236 | 0.5793 | 0.5983 | 0.5793 | 0.7611 |
| No log | 0.7169 | 238 | 0.5310 | 0.6063 | 0.5310 | 0.7287 |
| No log | 0.7229 | 240 | 0.4967 | 0.5858 | 0.4967 | 0.7048 |
| No log | 0.7289 | 242 | 0.4868 | 0.5721 | 0.4868 | 0.6977 |
| No log | 0.7349 | 244 | 0.4722 | 0.5557 | 0.4722 | 0.6871 |
| No log | 0.7410 | 246 | 0.4724 | 0.5195 | 0.4724 | 0.6873 |
| No log | 0.7470 | 248 | 0.4676 | 0.5665 | 0.4676 | 0.6838 |
| No log | 0.7530 | 250 | 0.4837 | 0.5811 | 0.4837 | 0.6955 |
| No log | 0.7590 | 252 | 0.4968 | 0.5984 | 0.4968 | 0.7048 |
| No log | 0.7651 | 254 | 0.4773 | 0.6040 | 0.4773 | 0.6909 |
| No log | 0.7711 | 256 | 0.4643 | 0.5940 | 0.4643 | 0.6814 |
| No log | 0.7771 | 258 | 0.4890 | 0.6155 | 0.4890 | 0.6993 |
| No log | 0.7831 | 260 | 0.6079 | 0.5785 | 0.6079 | 0.7797 |
| No log | 0.7892 | 262 | 0.6645 | 0.5582 | 0.6645 | 0.8152 |
| No log | 0.7952 | 264 | 0.6657 | 0.5514 | 0.6657 | 0.8159 |
| No log | 0.8012 | 266 | 0.6675 | 0.5498 | 0.6675 | 0.8170 |
| No log | 0.8072 | 268 | 0.5966 | 0.5786 | 0.5966 | 0.7724 |
| No log | 0.8133 | 270 | 0.5300 | 0.6091 | 0.5300 | 0.7280 |
| No log | 0.8193 | 272 | 0.5421 | 0.6164 | 0.5421 | 0.7363 |
| No log | 0.8253 | 274 | 0.6810 | 0.5792 | 0.6810 | 0.8252 |
| No log | 0.8313 | 276 | 0.6917 | 0.5810 | 0.6917 | 0.8317 |
| No log | 0.8373 | 278 | 0.5877 | 0.6193 | 0.5877 | 0.7666 |
| No log | 0.8434 | 280 | 0.5283 | 0.6098 | 0.5283 | 0.7268 |
| No log | 0.8494 | 282 | 0.5171 | 0.5755 | 0.5171 | 0.7191 |
| No log | 0.8554 | 284 | 0.5388 | 0.5552 | 0.5388 | 0.7340 |
| No log | 0.8614 | 286 | 0.5772 | 0.5397 | 0.5772 | 0.7598 |
| No log | 0.8675 | 288 | 0.5090 | 0.5516 | 0.5090 | 0.7135 |
| No log | 0.8735 | 290 | 0.4698 | 0.4972 | 0.4698 | 0.6854 |
| No log | 0.8795 | 292 | 0.4553 | 0.5218 | 0.4553 | 0.6748 |
| No log | 0.8855 | 294 | 0.4614 | 0.5281 | 0.4614 | 0.6793 |
| No log | 0.8916 | 296 | 0.4784 | 0.5153 | 0.4784 | 0.6917 |
| No log | 0.8976 | 298 | 0.4488 | 0.5968 | 0.4488 | 0.6700 |
| No log | 0.9036 | 300 | 0.5075 | 0.6270 | 0.5075 | 0.7124 |
| No log | 0.9096 | 302 | 0.4963 | 0.6338 | 0.4963 | 0.7045 |
| No log | 0.9157 | 304 | 0.4564 | 0.5870 | 0.4564 | 0.6756 |
| No log | 0.9217 | 306 | 0.5087 | 0.5159 | 0.5087 | 0.7132 |
| No log | 0.9277 | 308 | 0.4529 | 0.5780 | 0.4529 | 0.6729 |
| No log | 0.9337 | 310 | 0.5123 | 0.6292 | 0.5123 | 0.7158 |
| No log | 0.9398 | 312 | 0.6004 | 0.6074 | 0.6004 | 0.7749 |
| No log | 0.9458 | 314 | 0.5623 | 0.6023 | 0.5623 | 0.7499 |
| No log | 0.9518 | 316 | 0.4899 | 0.6086 | 0.4899 | 0.6999 |
| No log | 0.9578 | 318 | 0.4493 | 0.5903 | 0.4493 | 0.6703 |
| No log | 0.9639 | 320 | 0.4409 | 0.5967 | 0.4409 | 0.6640 |
| No log | 0.9699 | 322 | 0.4509 | 0.6117 | 0.4509 | 0.6715 |
| No log | 0.9759 | 324 | 0.4351 | 0.5719 | 0.4351 | 0.6596 |
| No log | 0.9819 | 326 | 0.4458 | 0.6023 | 0.4458 | 0.6677 |
| No log | 0.9880 | 328 | 0.5342 | 0.6022 | 0.5342 | 0.7309 |
| No log | 0.9940 | 330 | 0.5829 | 0.5923 | 0.5829 | 0.7635 |
| No log | 1.0 | 332 | 0.5132 | 0.6003 | 0.5132 | 0.7164 |
| No log | 1.0060 | 334 | 0.5212 | 0.6055 | 0.5212 | 0.7219 |
| No log | 1.0120 | 336 | 0.5368 | 0.6044 | 0.5368 | 0.7327 |
| No log | 1.0181 | 338 | 0.5627 | 0.5900 | 0.5627 | 0.7501 |
| No log | 1.0241 | 340 | 0.5291 | 0.6080 | 0.5291 | 0.7274 |
| No log | 1.0301 | 342 | 0.4764 | 0.5559 | 0.4764 | 0.6902 |
| No log | 1.0361 | 344 | 0.4584 | 0.5561 | 0.4584 | 0.6770 |
| No log | 1.0422 | 346 | 0.4822 | 0.5822 | 0.4822 | 0.6944 |
| No log | 1.0482 | 348 | 0.4995 | 0.5724 | 0.4995 | 0.7068 |
| No log | 1.0542 | 350 | 0.5213 | 0.5983 | 0.5213 | 0.7220 |
| No log | 1.0602 | 352 | 0.4432 | 0.6025 | 0.4432 | 0.6657 |
| No log | 1.0663 | 354 | 0.4266 | 0.6011 | 0.4266 | 0.6531 |
| No log | 1.0723 | 356 | 0.4593 | 0.6256 | 0.4593 | 0.6777 |
| No log | 1.0783 | 358 | 0.4282 | 0.6277 | 0.4282 | 0.6544 |
| No log | 1.0843 | 360 | 0.4012 | 0.5671 | 0.4012 | 0.6334 |
| No log | 1.0904 | 362 | 0.4494 | 0.5048 | 0.4494 | 0.6704 |
| No log | 1.0964 | 364 | 0.4008 | 0.5778 | 0.4008 | 0.6331 |
| No log | 1.1024 | 366 | 0.4551 | 0.6453 | 0.4551 | 0.6746 |
| No log | 1.1084 | 368 | 0.4896 | 0.6424 | 0.4896 | 0.6997 |
| No log | 1.1145 | 370 | 0.4146 | 0.5919 | 0.4146 | 0.6439 |
| No log | 1.1205 | 372 | 0.4293 | 0.5326 | 0.4293 | 0.6552 |
| No log | 1.1265 | 374 | 0.4293 | 0.5315 | 0.4293 | 0.6552 |
| No log | 1.1325 | 376 | 0.4753 | 0.5957 | 0.4753 | 0.6894 |
| No log | 1.1386 | 378 | 0.6103 | 0.5992 | 0.6103 | 0.7812 |
| No log | 1.1446 | 380 | 0.6979 | 0.5847 | 0.6979 | 0.8354 |
| No log | 1.1506 | 382 | 0.5574 | 0.6284 | 0.5574 | 0.7466 |
| No log | 1.1566 | 384 | 0.4114 | 0.6228 | 0.4114 | 0.6414 |
| No log | 1.1627 | 386 | 0.4050 | 0.6184 | 0.4050 | 0.6364 |
| No log | 1.1687 | 388 | 0.4458 | 0.6544 | 0.4458 | 0.6677 |
| No log | 1.1747 | 390 | 0.4770 | 0.6515 | 0.4770 | 0.6906 |
| No log | 1.1807 | 392 | 0.4387 | 0.6407 | 0.4387 | 0.6623 |
| No log | 1.1867 | 394 | 0.4974 | 0.5471 | 0.4974 | 0.7053 |
| No log | 1.1928 | 396 | 0.5162 | 0.5377 | 0.5162 | 0.7185 |
| No log | 1.1988 | 398 | 0.4317 | 0.6337 | 0.4317 | 0.6570 |
| No log | 1.2048 | 400 | 0.5618 | 0.6426 | 0.5618 | 0.7496 |
| No log | 1.2108 | 402 | 0.7052 | 0.6094 | 0.7052 | 0.8398 |
| No log | 1.2169 | 404 | 0.6045 | 0.6085 | 0.6045 | 0.7775 |
| No log | 1.2229 | 406 | 0.5113 | 0.5431 | 0.5113 | 0.7151 |
| No log | 1.2289 | 408 | 0.5141 | 0.5341 | 0.5141 | 0.7170 |
| No log | 1.2349 | 410 | 0.5797 | 0.5890 | 0.5797 | 0.7614 |
| No log | 1.2410 | 412 | 0.5818 | 0.5859 | 0.5818 | 0.7627 |
| No log | 1.2470 | 414 | 0.5180 | 0.5409 | 0.5180 | 0.7197 |
| No log | 1.2530 | 416 | 0.5190 | 0.5214 | 0.5190 | 0.7205 |
| No log | 1.2590 | 418 | 0.5646 | 0.5339 | 0.5646 | 0.7514 |
| No log | 1.2651 | 420 | 0.5798 | 0.5696 | 0.5798 | 0.7615 |
| No log | 1.2711 | 422 | 0.5575 | 0.6004 | 0.5575 | 0.7467 |
| No log | 1.2771 | 424 | 0.4537 | 0.5824 | 0.4537 | 0.6735 |
| No log | 1.2831 | 426 | 0.4111 | 0.5705 | 0.4111 | 0.6412 |
| No log | 1.2892 | 428 | 0.4151 | 0.5388 | 0.4151 | 0.6443 |
| No log | 1.2952 | 430 | 0.3907 | 0.5737 | 0.3907 | 0.6251 |
| No log | 1.3012 | 432 | 0.3818 | 0.6003 | 0.3818 | 0.6179 |
| No log | 1.3072 | 434 | 0.3918 | 0.5599 | 0.3918 | 0.6259 |
| No log | 1.3133 | 436 | 0.4417 | 0.5025 | 0.4417 | 0.6646 |
| No log | 1.3193 | 438 | 0.4010 | 0.5344 | 0.4010 | 0.6332 |
| No log | 1.3253 | 440 | 0.3930 | 0.6166 | 0.3930 | 0.6269 |
| No log | 1.3313 | 442 | 0.4862 | 0.6574 | 0.4862 | 0.6973 |
| No log | 1.3373 | 444 | 0.6188 | 0.6505 | 0.6188 | 0.7867 |
| No log | 1.3434 | 446 | 0.5829 | 0.6513 | 0.5829 | 0.7635 |
| No log | 1.3494 | 448 | 0.4792 | 0.6095 | 0.4792 | 0.6923 |
| No log | 1.3554 | 450 | 0.4474 | 0.5256 | 0.4474 | 0.6689 |
| No log | 1.3614 | 452 | 0.4590 | 0.5178 | 0.4590 | 0.6775 |
| No log | 1.3675 | 454 | 0.4685 | 0.5701 | 0.4685 | 0.6845 |
| No log | 1.3735 | 456 | 0.4354 | 0.6031 | 0.4354 | 0.6598 |
| No log | 1.3795 | 458 | 0.4036 | 0.5533 | 0.4036 | 0.6353 |
| No log | 1.3855 | 460 | 0.4440 | 0.4963 | 0.4440 | 0.6664 |
| No log | 1.3916 | 462 | 0.4178 | 0.5149 | 0.4178 | 0.6463 |
| No log | 1.3976 | 464 | 0.4140 | 0.6389 | 0.4140 | 0.6434 |
| No log | 1.4036 | 466 | 0.5198 | 0.6676 | 0.5198 | 0.7210 |
| No log | 1.4096 | 468 | 0.4730 | 0.6435 | 0.4730 | 0.6878 |
| No log | 1.4157 | 470 | 0.4154 | 0.5595 | 0.4154 | 0.6445 |
| No log | 1.4217 | 472 | 0.4113 | 0.5696 | 0.4113 | 0.6414 |
| No log | 1.4277 | 474 | 0.4438 | 0.6509 | 0.4438 | 0.6662 |
| No log | 1.4337 | 476 | 0.5069 | 0.6826 | 0.5069 | 0.7120 |
| No log | 1.4398 | 478 | 0.4424 | 0.6829 | 0.4424 | 0.6651 |
| No log | 1.4458 | 480 | 0.3942 | 0.6120 | 0.3942 | 0.6279 |
| No log | 1.4518 | 482 | 0.3959 | 0.5517 | 0.3959 | 0.6292 |
| No log | 1.4578 | 484 | 0.4028 | 0.5742 | 0.4028 | 0.6347 |
| No log | 1.4639 | 486 | 0.4481 | 0.6284 | 0.4481 | 0.6694 |
| No log | 1.4699 | 488 | 0.4389 | 0.6197 | 0.4389 | 0.6625 |
| No log | 1.4759 | 490 | 0.4036 | 0.5371 | 0.4036 | 0.6353 |
| No log | 1.4819 | 492 | 0.3990 | 0.5366 | 0.3990 | 0.6317 |
| No log | 1.4880 | 494 | 0.3900 | 0.5701 | 0.3900 | 0.6245 |
| No log | 1.4940 | 496 | 0.3945 | 0.6265 | 0.3945 | 0.6281 |
| No log | 1.5 | 498 | 0.3904 | 0.6173 | 0.3904 | 0.6248 |
| 0.5402 | 1.5060 | 500 | 0.4074 | 0.6301 | 0.4074 | 0.6383 |
| 0.5402 | 1.5120 | 502 | 0.4201 | 0.5920 | 0.4201 | 0.6481 |
| 0.5402 | 1.5181 | 504 | 0.4574 | 0.5466 | 0.4574 | 0.6763 |
| 0.5402 | 1.5241 | 506 | 0.4131 | 0.5669 | 0.4131 | 0.6427 |
| 0.5402 | 1.5301 | 508 | 0.4058 | 0.6023 | 0.4058 | 0.6370 |
| 0.5402 | 1.5361 | 510 | 0.4063 | 0.5441 | 0.4063 | 0.6374 |
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_k20_task1_organization_fold1
Base model
google-bert/bert-base-uncased