ASAP_FineTuningBERT_AugV4_k4_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: 1.0233
- Qwk: 0.4858
- Mse: 1.0233
- Rmse: 1.0116
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 | 0.0047 | 2 | 9.3843 | 0.0016 | 9.3843 | 3.0634 |
No log | 0.0093 | 4 | 7.6902 | 0.0 | 7.6902 | 2.7731 |
No log | 0.0140 | 6 | 6.2906 | 0.0 | 6.2906 | 2.5081 |
No log | 0.0186 | 8 | 4.9654 | 0.0320 | 4.9654 | 2.2283 |
No log | 0.0233 | 10 | 3.6594 | 0.0 | 3.6594 | 1.9130 |
No log | 0.0280 | 12 | 2.9328 | 0.0 | 2.9328 | 1.7126 |
No log | 0.0326 | 14 | 2.1220 | 0.1345 | 2.1220 | 1.4567 |
No log | 0.0373 | 16 | 1.6280 | 0.0482 | 1.6280 | 1.2759 |
No log | 0.0420 | 18 | 1.2820 | 0.0 | 1.2820 | 1.1322 |
No log | 0.0466 | 20 | 1.0755 | 0.0 | 1.0755 | 1.0371 |
No log | 0.0513 | 22 | 0.9013 | 0.2768 | 0.9013 | 0.9494 |
No log | 0.0559 | 24 | 0.8756 | 0.0943 | 0.8756 | 0.9357 |
No log | 0.0606 | 26 | 0.9791 | 0.0286 | 0.9791 | 0.9895 |
No log | 0.0653 | 28 | 0.9280 | 0.0429 | 0.9280 | 0.9633 |
No log | 0.0699 | 30 | 0.9766 | 0.0286 | 0.9766 | 0.9882 |
No log | 0.0746 | 32 | 1.3594 | 0.0 | 1.3594 | 1.1659 |
No log | 0.0793 | 34 | 1.2967 | 0.0 | 1.2967 | 1.1387 |
No log | 0.0839 | 36 | 1.2188 | 0.0 | 1.2188 | 1.1040 |
No log | 0.0886 | 38 | 1.0623 | 0.0 | 1.0623 | 1.0307 |
No log | 0.0932 | 40 | 1.1963 | 0.0 | 1.1963 | 1.0937 |
No log | 0.0979 | 42 | 1.2359 | 0.0 | 1.2359 | 1.1117 |
No log | 0.1026 | 44 | 1.1297 | 0.0 | 1.1297 | 1.0629 |
No log | 0.1072 | 46 | 1.1432 | 0.0 | 1.1432 | 1.0692 |
No log | 0.1119 | 48 | 1.1393 | 0.0 | 1.1393 | 1.0674 |
No log | 0.1166 | 50 | 0.9199 | 0.0143 | 0.9199 | 0.9591 |
No log | 0.1212 | 52 | 0.8848 | 0.0143 | 0.8848 | 0.9407 |
No log | 0.1259 | 54 | 1.0594 | 0.0143 | 1.0594 | 1.0292 |
No log | 0.1305 | 56 | 1.0446 | 0.0143 | 1.0446 | 1.0221 |
No log | 0.1352 | 58 | 0.9308 | 0.0143 | 0.9308 | 0.9648 |
No log | 0.1399 | 60 | 0.9824 | 0.0143 | 0.9824 | 0.9911 |
No log | 0.1445 | 62 | 1.1525 | 0.0 | 1.1525 | 1.0736 |
No log | 0.1492 | 64 | 1.1400 | 0.0 | 1.1400 | 1.0677 |
No log | 0.1538 | 66 | 0.9839 | 0.0073 | 0.9839 | 0.9919 |
No log | 0.1585 | 68 | 0.9852 | 0.0036 | 0.9852 | 0.9926 |
No log | 0.1632 | 70 | 1.1657 | 0.0 | 1.1657 | 1.0797 |
No log | 0.1678 | 72 | 1.2796 | 0.0 | 1.2796 | 1.1312 |
No log | 0.1725 | 74 | 1.2845 | 0.0 | 1.2845 | 1.1333 |
No log | 0.1772 | 76 | 1.0578 | 0.0143 | 1.0578 | 1.0285 |
No log | 0.1818 | 78 | 0.8877 | 0.0179 | 0.8877 | 0.9422 |
No log | 0.1865 | 80 | 0.8662 | 0.0358 | 0.8662 | 0.9307 |
No log | 0.1911 | 82 | 0.9209 | 0.0143 | 0.9209 | 0.9596 |
No log | 0.1958 | 84 | 1.1707 | 0.0 | 1.1707 | 1.0820 |
No log | 0.2005 | 86 | 1.3210 | 0.0262 | 1.3210 | 1.1494 |
No log | 0.2051 | 88 | 1.4341 | 0.2121 | 1.4341 | 1.1975 |
No log | 0.2098 | 90 | 1.3311 | 0.0070 | 1.3311 | 1.1537 |
No log | 0.2145 | 92 | 1.1069 | 0.0 | 1.1069 | 1.0521 |
No log | 0.2191 | 94 | 0.9273 | 0.0 | 0.9273 | 0.9630 |
No log | 0.2238 | 96 | 0.8827 | 0.0323 | 0.8827 | 0.9395 |
No log | 0.2284 | 98 | 0.8738 | 0.0252 | 0.8738 | 0.9348 |
No log | 0.2331 | 100 | 0.9496 | 0.0 | 0.9496 | 0.9745 |
No log | 0.2378 | 102 | 1.0099 | 0.0 | 1.0099 | 1.0050 |
No log | 0.2424 | 104 | 1.0647 | 0.0 | 1.0647 | 1.0319 |
No log | 0.2471 | 106 | 0.9915 | 0.0 | 0.9915 | 0.9958 |
No log | 0.2517 | 108 | 1.0097 | 0.0382 | 1.0097 | 1.0048 |
No log | 0.2564 | 110 | 1.0028 | 0.1248 | 1.0028 | 1.0014 |
No log | 0.2611 | 112 | 0.9278 | 0.1526 | 0.9278 | 0.9632 |
No log | 0.2657 | 114 | 0.9710 | 0.3092 | 0.9710 | 0.9854 |
No log | 0.2704 | 116 | 0.8717 | 0.2976 | 0.8717 | 0.9336 |
No log | 0.2751 | 118 | 0.7836 | 0.2718 | 0.7836 | 0.8852 |
No log | 0.2797 | 120 | 0.7954 | 0.3127 | 0.7954 | 0.8918 |
No log | 0.2844 | 122 | 0.9252 | 0.3546 | 0.9252 | 0.9619 |
No log | 0.2890 | 124 | 0.8700 | 0.3571 | 0.8700 | 0.9327 |
No log | 0.2937 | 126 | 0.7403 | 0.3369 | 0.7403 | 0.8604 |
No log | 0.2984 | 128 | 0.7369 | 0.3058 | 0.7369 | 0.8584 |
No log | 0.3030 | 130 | 0.7438 | 0.2744 | 0.7438 | 0.8625 |
No log | 0.3077 | 132 | 0.7503 | 0.2813 | 0.7503 | 0.8662 |
No log | 0.3124 | 134 | 0.6996 | 0.3109 | 0.6996 | 0.8364 |
No log | 0.3170 | 136 | 0.6582 | 0.3700 | 0.6582 | 0.8113 |
No log | 0.3217 | 138 | 0.6768 | 0.3613 | 0.6768 | 0.8227 |
No log | 0.3263 | 140 | 0.6670 | 0.3977 | 0.6670 | 0.8167 |
No log | 0.3310 | 142 | 0.6407 | 0.4164 | 0.6407 | 0.8004 |
No log | 0.3357 | 144 | 0.6279 | 0.4588 | 0.6279 | 0.7924 |
No log | 0.3403 | 146 | 0.6372 | 0.4161 | 0.6372 | 0.7983 |
No log | 0.3450 | 148 | 0.6649 | 0.4023 | 0.6649 | 0.8154 |
No log | 0.3497 | 150 | 0.6939 | 0.3856 | 0.6939 | 0.8330 |
No log | 0.3543 | 152 | 0.6779 | 0.3844 | 0.6779 | 0.8234 |
No log | 0.3590 | 154 | 0.8422 | 0.3675 | 0.8422 | 0.9177 |
No log | 0.3636 | 156 | 0.8417 | 0.3777 | 0.8417 | 0.9174 |
No log | 0.3683 | 158 | 0.7826 | 0.3775 | 0.7826 | 0.8846 |
No log | 0.3730 | 160 | 0.6487 | 0.3777 | 0.6487 | 0.8054 |
No log | 0.3776 | 162 | 0.5992 | 0.4299 | 0.5992 | 0.7740 |
No log | 0.3823 | 164 | 0.6050 | 0.4694 | 0.6050 | 0.7778 |
No log | 0.3869 | 166 | 0.6142 | 0.4970 | 0.6142 | 0.7837 |
No log | 0.3916 | 168 | 0.5750 | 0.4569 | 0.5750 | 0.7583 |
No log | 0.3963 | 170 | 0.6277 | 0.5037 | 0.6277 | 0.7923 |
No log | 0.4009 | 172 | 0.7736 | 0.4456 | 0.7736 | 0.8795 |
No log | 0.4056 | 174 | 0.9673 | 0.4133 | 0.9673 | 0.9835 |
No log | 0.4103 | 176 | 0.8049 | 0.4295 | 0.8049 | 0.8972 |
No log | 0.4149 | 178 | 0.7364 | 0.4152 | 0.7364 | 0.8581 |
No log | 0.4196 | 180 | 0.7654 | 0.4253 | 0.7654 | 0.8749 |
No log | 0.4242 | 182 | 0.9275 | 0.4106 | 0.9275 | 0.9631 |
No log | 0.4289 | 184 | 0.8539 | 0.4148 | 0.8539 | 0.9241 |
No log | 0.4336 | 186 | 0.6760 | 0.4512 | 0.6760 | 0.8222 |
No log | 0.4382 | 188 | 0.6397 | 0.4239 | 0.6397 | 0.7998 |
No log | 0.4429 | 190 | 0.7127 | 0.4156 | 0.7127 | 0.8442 |
No log | 0.4476 | 192 | 0.6885 | 0.4279 | 0.6885 | 0.8298 |
No log | 0.4522 | 194 | 0.6358 | 0.4176 | 0.6358 | 0.7974 |
No log | 0.4569 | 196 | 0.6393 | 0.4404 | 0.6393 | 0.7996 |
No log | 0.4615 | 198 | 0.6466 | 0.4403 | 0.6466 | 0.8041 |
No log | 0.4662 | 200 | 0.7371 | 0.4441 | 0.7371 | 0.8585 |
No log | 0.4709 | 202 | 0.6930 | 0.4592 | 0.6930 | 0.8325 |
No log | 0.4755 | 204 | 0.6651 | 0.4764 | 0.6651 | 0.8156 |
No log | 0.4802 | 206 | 0.6216 | 0.4874 | 0.6216 | 0.7884 |
No log | 0.4848 | 208 | 0.6288 | 0.4498 | 0.6288 | 0.7930 |
No log | 0.4895 | 210 | 0.7087 | 0.3337 | 0.7087 | 0.8418 |
No log | 0.4942 | 212 | 0.6133 | 0.4225 | 0.6133 | 0.7831 |
No log | 0.4988 | 214 | 0.5628 | 0.5285 | 0.5628 | 0.7502 |
No log | 0.5035 | 216 | 0.5629 | 0.5312 | 0.5629 | 0.7503 |
No log | 0.5082 | 218 | 0.5692 | 0.5199 | 0.5692 | 0.7545 |
No log | 0.5128 | 220 | 0.5704 | 0.5139 | 0.5704 | 0.7553 |
No log | 0.5175 | 222 | 0.6406 | 0.4129 | 0.6406 | 0.8003 |
No log | 0.5221 | 224 | 0.6120 | 0.4437 | 0.6120 | 0.7823 |
No log | 0.5268 | 226 | 0.5876 | 0.5391 | 0.5876 | 0.7666 |
No log | 0.5315 | 228 | 0.7083 | 0.5018 | 0.7083 | 0.8416 |
No log | 0.5361 | 230 | 0.5759 | 0.5407 | 0.5759 | 0.7589 |
No log | 0.5408 | 232 | 0.5650 | 0.4865 | 0.5650 | 0.7517 |
No log | 0.5455 | 234 | 0.5471 | 0.5400 | 0.5471 | 0.7397 |
No log | 0.5501 | 236 | 0.6479 | 0.4973 | 0.6479 | 0.8049 |
No log | 0.5548 | 238 | 0.6382 | 0.5071 | 0.6382 | 0.7989 |
No log | 0.5594 | 240 | 0.6395 | 0.5236 | 0.6395 | 0.7997 |
No log | 0.5641 | 242 | 0.5608 | 0.5356 | 0.5608 | 0.7489 |
No log | 0.5688 | 244 | 0.6164 | 0.5473 | 0.6164 | 0.7851 |
No log | 0.5734 | 246 | 0.5722 | 0.5658 | 0.5722 | 0.7564 |
No log | 0.5781 | 248 | 0.5177 | 0.5355 | 0.5177 | 0.7195 |
No log | 0.5828 | 250 | 0.5329 | 0.5189 | 0.5329 | 0.7300 |
No log | 0.5874 | 252 | 0.5397 | 0.5682 | 0.5397 | 0.7347 |
No log | 0.5921 | 254 | 0.7793 | 0.4886 | 0.7793 | 0.8828 |
No log | 0.5967 | 256 | 0.7562 | 0.4960 | 0.7562 | 0.8696 |
No log | 0.6014 | 258 | 0.5510 | 0.5218 | 0.5510 | 0.7423 |
No log | 0.6061 | 260 | 0.5833 | 0.4736 | 0.5833 | 0.7637 |
No log | 0.6107 | 262 | 0.5789 | 0.4672 | 0.5789 | 0.7608 |
No log | 0.6154 | 264 | 0.5632 | 0.5213 | 0.5632 | 0.7505 |
No log | 0.6200 | 266 | 0.8972 | 0.4317 | 0.8972 | 0.9472 |
No log | 0.6247 | 268 | 1.2352 | 0.3382 | 1.2352 | 1.1114 |
No log | 0.6294 | 270 | 1.1639 | 0.3660 | 1.1639 | 1.0788 |
No log | 0.6340 | 272 | 0.8008 | 0.4440 | 0.8008 | 0.8949 |
No log | 0.6387 | 274 | 0.5685 | 0.5206 | 0.5685 | 0.7540 |
No log | 0.6434 | 276 | 0.5656 | 0.5081 | 0.5656 | 0.7521 |
No log | 0.6480 | 278 | 0.5751 | 0.5230 | 0.5751 | 0.7584 |
No log | 0.6527 | 280 | 0.6808 | 0.4899 | 0.6808 | 0.8251 |
No log | 0.6573 | 282 | 0.8706 | 0.4267 | 0.8706 | 0.9330 |
No log | 0.6620 | 284 | 0.7656 | 0.4588 | 0.7656 | 0.8750 |
No log | 0.6667 | 286 | 0.5443 | 0.5958 | 0.5443 | 0.7378 |
No log | 0.6713 | 288 | 0.5226 | 0.5962 | 0.5226 | 0.7229 |
No log | 0.6760 | 290 | 0.5095 | 0.6071 | 0.5095 | 0.7138 |
No log | 0.6807 | 292 | 0.5768 | 0.5801 | 0.5768 | 0.7595 |
No log | 0.6853 | 294 | 0.5851 | 0.5650 | 0.5851 | 0.7649 |
No log | 0.6900 | 296 | 0.5128 | 0.6047 | 0.5128 | 0.7161 |
No log | 0.6946 | 298 | 0.5089 | 0.5803 | 0.5089 | 0.7134 |
No log | 0.6993 | 300 | 0.5085 | 0.5734 | 0.5085 | 0.7131 |
No log | 0.7040 | 302 | 0.5283 | 0.5689 | 0.5283 | 0.7269 |
No log | 0.7086 | 304 | 0.7961 | 0.4627 | 0.7961 | 0.8922 |
No log | 0.7133 | 306 | 0.9707 | 0.4049 | 0.9707 | 0.9853 |
No log | 0.7179 | 308 | 0.7990 | 0.4473 | 0.7990 | 0.8939 |
No log | 0.7226 | 310 | 0.6139 | 0.4528 | 0.6139 | 0.7835 |
No log | 0.7273 | 312 | 0.5635 | 0.5261 | 0.5635 | 0.7507 |
No log | 0.7319 | 314 | 0.5683 | 0.5282 | 0.5683 | 0.7539 |
No log | 0.7366 | 316 | 0.5644 | 0.5540 | 0.5644 | 0.7513 |
No log | 0.7413 | 318 | 0.5096 | 0.5971 | 0.5096 | 0.7138 |
No log | 0.7459 | 320 | 0.5512 | 0.5775 | 0.5512 | 0.7424 |
No log | 0.7506 | 322 | 0.5975 | 0.5582 | 0.5975 | 0.7730 |
No log | 0.7552 | 324 | 0.6028 | 0.5605 | 0.6028 | 0.7764 |
No log | 0.7599 | 326 | 0.6276 | 0.5439 | 0.6276 | 0.7922 |
No log | 0.7646 | 328 | 0.6967 | 0.5367 | 0.6967 | 0.8347 |
No log | 0.7692 | 330 | 0.7977 | 0.5171 | 0.7977 | 0.8931 |
No log | 0.7739 | 332 | 0.9367 | 0.4793 | 0.9367 | 0.9678 |
No log | 0.7786 | 334 | 0.6564 | 0.5722 | 0.6564 | 0.8102 |
No log | 0.7832 | 336 | 0.5104 | 0.6285 | 0.5104 | 0.7144 |
No log | 0.7879 | 338 | 0.5155 | 0.6268 | 0.5155 | 0.7180 |
No log | 0.7925 | 340 | 0.5791 | 0.6236 | 0.5791 | 0.7610 |
No log | 0.7972 | 342 | 0.6672 | 0.5843 | 0.6672 | 0.8168 |
No log | 0.8019 | 344 | 0.6547 | 0.5891 | 0.6547 | 0.8092 |
No log | 0.8065 | 346 | 0.5056 | 0.6337 | 0.5056 | 0.7110 |
No log | 0.8112 | 348 | 0.4891 | 0.6295 | 0.4891 | 0.6994 |
No log | 0.8159 | 350 | 0.4856 | 0.6249 | 0.4856 | 0.6968 |
No log | 0.8205 | 352 | 0.4916 | 0.6220 | 0.4916 | 0.7011 |
No log | 0.8252 | 354 | 0.4930 | 0.6282 | 0.4930 | 0.7021 |
No log | 0.8298 | 356 | 0.5044 | 0.6097 | 0.5044 | 0.7102 |
No log | 0.8345 | 358 | 0.5103 | 0.6353 | 0.5103 | 0.7144 |
No log | 0.8392 | 360 | 0.5378 | 0.6343 | 0.5378 | 0.7333 |
No log | 0.8438 | 362 | 0.5636 | 0.6194 | 0.5636 | 0.7507 |
No log | 0.8485 | 364 | 0.7472 | 0.5763 | 0.7472 | 0.8644 |
No log | 0.8531 | 366 | 0.7252 | 0.5791 | 0.7252 | 0.8516 |
No log | 0.8578 | 368 | 0.5898 | 0.6122 | 0.5898 | 0.7680 |
No log | 0.8625 | 370 | 0.7453 | 0.5799 | 0.7453 | 0.8633 |
No log | 0.8671 | 372 | 0.6918 | 0.5720 | 0.6918 | 0.8317 |
No log | 0.8718 | 374 | 0.5452 | 0.6077 | 0.5452 | 0.7384 |
No log | 0.8765 | 376 | 0.5438 | 0.5906 | 0.5438 | 0.7374 |
No log | 0.8811 | 378 | 0.5310 | 0.5871 | 0.5310 | 0.7287 |
No log | 0.8858 | 380 | 0.5805 | 0.5836 | 0.5805 | 0.7619 |
No log | 0.8904 | 382 | 0.8195 | 0.5321 | 0.8195 | 0.9053 |
No log | 0.8951 | 384 | 0.7126 | 0.5589 | 0.7126 | 0.8442 |
No log | 0.8998 | 386 | 0.5401 | 0.6017 | 0.5401 | 0.7349 |
No log | 0.9044 | 388 | 0.5559 | 0.6210 | 0.5559 | 0.7456 |
No log | 0.9091 | 390 | 0.5439 | 0.5992 | 0.5439 | 0.7375 |
No log | 0.9138 | 392 | 0.6774 | 0.5525 | 0.6774 | 0.8230 |
No log | 0.9184 | 394 | 0.7939 | 0.4982 | 0.7939 | 0.8910 |
No log | 0.9231 | 396 | 0.7069 | 0.5294 | 0.7069 | 0.8408 |
No log | 0.9277 | 398 | 0.5890 | 0.5907 | 0.5890 | 0.7675 |
No log | 0.9324 | 400 | 0.5975 | 0.5906 | 0.5975 | 0.7730 |
No log | 0.9371 | 402 | 0.6703 | 0.5743 | 0.6703 | 0.8187 |
No log | 0.9417 | 404 | 0.8185 | 0.5545 | 0.8185 | 0.9047 |
No log | 0.9464 | 406 | 0.6894 | 0.5771 | 0.6894 | 0.8303 |
No log | 0.9510 | 408 | 0.6050 | 0.6040 | 0.6050 | 0.7778 |
No log | 0.9557 | 410 | 0.5090 | 0.6361 | 0.5090 | 0.7134 |
No log | 0.9604 | 412 | 0.5219 | 0.6351 | 0.5219 | 0.7224 |
No log | 0.9650 | 414 | 0.5180 | 0.6548 | 0.5180 | 0.7197 |
No log | 0.9697 | 416 | 0.5676 | 0.6551 | 0.5676 | 0.7534 |
No log | 0.9744 | 418 | 0.5886 | 0.6483 | 0.5886 | 0.7672 |
No log | 0.9790 | 420 | 0.5261 | 0.6469 | 0.5261 | 0.7253 |
No log | 0.9837 | 422 | 0.5870 | 0.6288 | 0.5870 | 0.7662 |
No log | 0.9883 | 424 | 0.7002 | 0.5809 | 0.7002 | 0.8368 |
No log | 0.9930 | 426 | 0.5667 | 0.6122 | 0.5667 | 0.7528 |
No log | 0.9977 | 428 | 0.5623 | 0.6555 | 0.5623 | 0.7499 |
No log | 1.0023 | 430 | 0.7268 | 0.5898 | 0.7268 | 0.8525 |
No log | 1.0070 | 432 | 0.6592 | 0.5963 | 0.6592 | 0.8119 |
No log | 1.0117 | 434 | 0.6531 | 0.5806 | 0.6531 | 0.8081 |
No log | 1.0163 | 436 | 0.6722 | 0.5720 | 0.6722 | 0.8199 |
No log | 1.0210 | 438 | 0.6533 | 0.5393 | 0.6533 | 0.8083 |
No log | 1.0256 | 440 | 0.6333 | 0.5669 | 0.6333 | 0.7958 |
No log | 1.0303 | 442 | 0.7562 | 0.5593 | 0.7562 | 0.8696 |
No log | 1.0350 | 444 | 0.7881 | 0.5553 | 0.7881 | 0.8877 |
No log | 1.0396 | 446 | 0.5655 | 0.6375 | 0.5655 | 0.7520 |
No log | 1.0443 | 448 | 0.5010 | 0.6453 | 0.5010 | 0.7078 |
No log | 1.0490 | 450 | 0.5040 | 0.6472 | 0.5040 | 0.7099 |
No log | 1.0536 | 452 | 0.6296 | 0.6041 | 0.6296 | 0.7935 |
No log | 1.0583 | 454 | 0.7043 | 0.5849 | 0.7043 | 0.8392 |
No log | 1.0629 | 456 | 0.5669 | 0.6263 | 0.5669 | 0.7529 |
No log | 1.0676 | 458 | 0.4899 | 0.6481 | 0.4899 | 0.7000 |
No log | 1.0723 | 460 | 0.5168 | 0.6089 | 0.5168 | 0.7189 |
No log | 1.0769 | 462 | 0.5086 | 0.6155 | 0.5086 | 0.7132 |
No log | 1.0816 | 464 | 0.5141 | 0.6416 | 0.5141 | 0.7170 |
No log | 1.0862 | 466 | 0.6181 | 0.6143 | 0.6181 | 0.7862 |
No log | 1.0909 | 468 | 0.6788 | 0.6171 | 0.6788 | 0.8239 |
No log | 1.0956 | 470 | 0.5832 | 0.6188 | 0.5832 | 0.7637 |
No log | 1.1002 | 472 | 0.5803 | 0.6331 | 0.5803 | 0.7618 |
No log | 1.1049 | 474 | 0.5935 | 0.6359 | 0.5935 | 0.7704 |
No log | 1.1096 | 476 | 0.5957 | 0.6198 | 0.5957 | 0.7718 |
No log | 1.1142 | 478 | 0.5229 | 0.6492 | 0.5229 | 0.7231 |
No log | 1.1189 | 480 | 0.5061 | 0.6446 | 0.5061 | 0.7114 |
No log | 1.1235 | 482 | 0.5001 | 0.6397 | 0.5001 | 0.7071 |
No log | 1.1282 | 484 | 0.5478 | 0.6432 | 0.5478 | 0.7402 |
No log | 1.1329 | 486 | 0.5905 | 0.6402 | 0.5905 | 0.7684 |
No log | 1.1375 | 488 | 0.5022 | 0.6697 | 0.5022 | 0.7086 |
No log | 1.1422 | 490 | 0.5098 | 0.6487 | 0.5098 | 0.7140 |
No log | 1.1469 | 492 | 0.4983 | 0.6456 | 0.4983 | 0.7059 |
No log | 1.1515 | 494 | 0.4993 | 0.6632 | 0.4993 | 0.7066 |
No log | 1.1562 | 496 | 0.5403 | 0.6554 | 0.5403 | 0.7350 |
No log | 1.1608 | 498 | 0.5965 | 0.6392 | 0.5965 | 0.7723 |
0.8772 | 1.1655 | 500 | 0.5477 | 0.6326 | 0.5477 | 0.7401 |
0.8772 | 1.1702 | 502 | 0.6351 | 0.6098 | 0.6351 | 0.7969 |
0.8772 | 1.1748 | 504 | 0.5885 | 0.6078 | 0.5885 | 0.7672 |
0.8772 | 1.1795 | 506 | 0.7234 | 0.5930 | 0.7234 | 0.8506 |
0.8772 | 1.1841 | 508 | 1.1260 | 0.4874 | 1.1260 | 1.0611 |
0.8772 | 1.1888 | 510 | 1.0233 | 0.4858 | 1.0233 | 1.0116 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 17
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for MayBashendy/ASAP_FineTuningBERT_AugV4_k4_task1_organization_fold1
Base model
google-bert/bert-base-uncased