ASAP_FineTuningBERT_AugV4_k10_task1_organization_fold2
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: 0.6026
- Qwk: 0.4742
- Mse: 0.6026
- Rmse: 0.7763
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 | 0.0020 | 2 | 10.3974 | 0.0013 | 10.3974 | 3.2245 |
No log | 0.0040 | 4 | 9.3241 | 0.0 | 9.3241 | 3.0535 |
No log | 0.0060 | 6 | 8.0124 | 0.0 | 8.0124 | 2.8306 |
No log | 0.0079 | 8 | 6.7046 | 0.0 | 6.7046 | 2.5893 |
No log | 0.0099 | 10 | 5.3548 | 0.0325 | 5.3548 | 2.3141 |
No log | 0.0119 | 12 | 4.3935 | 0.0039 | 4.3935 | 2.0961 |
No log | 0.0139 | 14 | 3.6172 | 0.0039 | 3.6172 | 1.9019 |
No log | 0.0159 | 16 | 2.8162 | 0.0039 | 2.8162 | 1.6782 |
No log | 0.0179 | 18 | 2.2725 | 0.1064 | 2.2725 | 1.5075 |
No log | 0.0199 | 20 | 1.7897 | 0.0540 | 1.7897 | 1.3378 |
No log | 0.0218 | 22 | 1.3306 | 0.0107 | 1.3306 | 1.1535 |
No log | 0.0238 | 24 | 1.1460 | 0.0107 | 1.1460 | 1.0705 |
No log | 0.0258 | 26 | 0.9364 | 0.0107 | 0.9364 | 0.9677 |
No log | 0.0278 | 28 | 0.8445 | 0.2848 | 0.8445 | 0.9190 |
No log | 0.0298 | 30 | 0.8380 | 0.0490 | 0.8380 | 0.9154 |
No log | 0.0318 | 32 | 0.8553 | 0.0164 | 0.8553 | 0.9248 |
No log | 0.0338 | 34 | 0.8926 | 0.0164 | 0.8926 | 0.9448 |
No log | 0.0357 | 36 | 0.9438 | 0.0164 | 0.9438 | 0.9715 |
No log | 0.0377 | 38 | 0.9613 | 0.0164 | 0.9613 | 0.9805 |
No log | 0.0397 | 40 | 1.0887 | 0.0164 | 1.0887 | 1.0434 |
No log | 0.0417 | 42 | 1.0892 | 0.0164 | 1.0892 | 1.0436 |
No log | 0.0437 | 44 | 1.1870 | 0.0164 | 1.1870 | 1.0895 |
No log | 0.0457 | 46 | 1.0759 | 0.0164 | 1.0759 | 1.0373 |
No log | 0.0477 | 48 | 0.9395 | 0.0164 | 0.9395 | 0.9693 |
No log | 0.0497 | 50 | 0.8951 | 0.0164 | 0.8951 | 0.9461 |
No log | 0.0516 | 52 | 0.9726 | 0.0164 | 0.9726 | 0.9862 |
No log | 0.0536 | 54 | 0.9359 | 0.0164 | 0.9359 | 0.9674 |
No log | 0.0556 | 56 | 0.8868 | 0.0327 | 0.8868 | 0.9417 |
No log | 0.0576 | 58 | 0.8409 | 0.0750 | 0.8409 | 0.9170 |
No log | 0.0596 | 60 | 0.8297 | 0.0851 | 0.8297 | 0.9109 |
No log | 0.0616 | 62 | 0.9194 | 0.0164 | 0.9194 | 0.9589 |
No log | 0.0636 | 64 | 0.9837 | 0.0164 | 0.9837 | 0.9918 |
No log | 0.0655 | 66 | 1.0615 | 0.0164 | 1.0615 | 1.0303 |
No log | 0.0675 | 68 | 0.9240 | 0.0164 | 0.9240 | 0.9612 |
No log | 0.0695 | 70 | 0.8718 | 0.0164 | 0.8718 | 0.9337 |
No log | 0.0715 | 72 | 0.8533 | 0.0164 | 0.8533 | 0.9238 |
No log | 0.0735 | 74 | 0.7063 | 0.2115 | 0.7063 | 0.8404 |
No log | 0.0755 | 76 | 0.7269 | 0.3562 | 0.7269 | 0.8526 |
No log | 0.0775 | 78 | 0.7177 | 0.0909 | 0.7177 | 0.8472 |
No log | 0.0794 | 80 | 0.8605 | 0.0164 | 0.8605 | 0.9276 |
No log | 0.0814 | 82 | 0.9737 | 0.0164 | 0.9737 | 0.9868 |
No log | 0.0834 | 84 | 0.9632 | 0.0164 | 0.9632 | 0.9814 |
No log | 0.0854 | 86 | 1.0019 | 0.0 | 1.0019 | 1.0010 |
No log | 0.0874 | 88 | 1.0321 | 0.0164 | 1.0321 | 1.0159 |
No log | 0.0894 | 90 | 1.0278 | 0.0164 | 1.0278 | 1.0138 |
No log | 0.0914 | 92 | 1.0150 | 0.0164 | 1.0150 | 1.0075 |
No log | 0.0933 | 94 | 0.8946 | 0.0164 | 0.8946 | 0.9459 |
No log | 0.0953 | 96 | 0.7957 | 0.0474 | 0.7957 | 0.8920 |
No log | 0.0973 | 98 | 0.7561 | 0.1078 | 0.7561 | 0.8695 |
No log | 0.0993 | 100 | 0.7555 | 0.1120 | 0.7555 | 0.8692 |
No log | 0.1013 | 102 | 0.9372 | 0.0297 | 0.9372 | 0.9681 |
No log | 0.1033 | 104 | 1.0229 | 0.1536 | 1.0229 | 1.0114 |
No log | 0.1053 | 106 | 0.9530 | 0.0815 | 0.9530 | 0.9762 |
No log | 0.1072 | 108 | 0.9881 | 0.1216 | 0.9881 | 0.9940 |
No log | 0.1092 | 110 | 0.9763 | 0.0163 | 0.9763 | 0.9881 |
No log | 0.1112 | 112 | 0.9356 | 0.0089 | 0.9356 | 0.9672 |
No log | 0.1132 | 114 | 0.8257 | 0.0280 | 0.8257 | 0.9087 |
No log | 0.1152 | 116 | 0.8023 | 0.0296 | 0.8023 | 0.8957 |
No log | 0.1172 | 118 | 0.8273 | 0.0164 | 0.8273 | 0.9095 |
No log | 0.1192 | 120 | 0.8334 | 0.0164 | 0.8334 | 0.9129 |
No log | 0.1212 | 122 | 0.7961 | 0.0576 | 0.7961 | 0.8923 |
No log | 0.1231 | 124 | 0.7236 | 0.2255 | 0.7236 | 0.8507 |
No log | 0.1251 | 126 | 0.8626 | 0.2398 | 0.8626 | 0.9287 |
No log | 0.1271 | 128 | 0.7741 | 0.2557 | 0.7741 | 0.8798 |
No log | 0.1291 | 130 | 0.7728 | 0.0946 | 0.7728 | 0.8791 |
No log | 0.1311 | 132 | 0.9004 | 0.1897 | 0.9004 | 0.9489 |
No log | 0.1331 | 134 | 0.7939 | 0.1358 | 0.7939 | 0.8910 |
No log | 0.1351 | 136 | 0.6970 | 0.2546 | 0.6970 | 0.8349 |
No log | 0.1370 | 138 | 0.6933 | 0.2566 | 0.6933 | 0.8326 |
No log | 0.1390 | 140 | 0.7639 | 0.1891 | 0.7639 | 0.8740 |
No log | 0.1410 | 142 | 0.7532 | 0.2058 | 0.7532 | 0.8679 |
No log | 0.1430 | 144 | 0.8256 | 0.2619 | 0.8256 | 0.9086 |
No log | 0.1450 | 146 | 1.0091 | 0.2972 | 1.0091 | 1.0046 |
No log | 0.1470 | 148 | 0.8792 | 0.2927 | 0.8792 | 0.9377 |
No log | 0.1490 | 150 | 0.6409 | 0.2950 | 0.6409 | 0.8005 |
No log | 0.1509 | 152 | 0.6285 | 0.3240 | 0.6285 | 0.7928 |
No log | 0.1529 | 154 | 0.6702 | 0.3649 | 0.6702 | 0.8187 |
No log | 0.1549 | 156 | 0.8030 | 0.3118 | 0.8030 | 0.8961 |
No log | 0.1569 | 158 | 0.7446 | 0.3493 | 0.7446 | 0.8629 |
No log | 0.1589 | 160 | 0.6212 | 0.3933 | 0.6212 | 0.7881 |
No log | 0.1609 | 162 | 0.6673 | 0.3439 | 0.6673 | 0.8169 |
No log | 0.1629 | 164 | 0.6354 | 0.3642 | 0.6354 | 0.7971 |
No log | 0.1648 | 166 | 0.7069 | 0.4087 | 0.7069 | 0.8408 |
No log | 0.1668 | 168 | 0.7366 | 0.3949 | 0.7366 | 0.8583 |
No log | 0.1688 | 170 | 0.6462 | 0.4324 | 0.6462 | 0.8039 |
No log | 0.1708 | 172 | 0.5915 | 0.4213 | 0.5915 | 0.7691 |
No log | 0.1728 | 174 | 0.6193 | 0.4215 | 0.6193 | 0.7870 |
No log | 0.1748 | 176 | 0.6264 | 0.4597 | 0.6264 | 0.7915 |
No log | 0.1768 | 178 | 0.8578 | 0.3514 | 0.8578 | 0.9262 |
No log | 0.1787 | 180 | 0.8505 | 0.3526 | 0.8505 | 0.9222 |
No log | 0.1807 | 182 | 0.6709 | 0.4304 | 0.6709 | 0.8191 |
No log | 0.1827 | 184 | 0.6349 | 0.4467 | 0.6349 | 0.7968 |
No log | 0.1847 | 186 | 0.7473 | 0.3882 | 0.7473 | 0.8645 |
No log | 0.1867 | 188 | 0.8836 | 0.3485 | 0.8836 | 0.9400 |
No log | 0.1887 | 190 | 0.8914 | 0.3484 | 0.8914 | 0.9441 |
No log | 0.1907 | 192 | 0.7523 | 0.3985 | 0.7523 | 0.8673 |
No log | 0.1927 | 194 | 0.6535 | 0.4282 | 0.6535 | 0.8084 |
No log | 0.1946 | 196 | 0.5826 | 0.4481 | 0.5826 | 0.7633 |
No log | 0.1966 | 198 | 0.5822 | 0.4763 | 0.5822 | 0.7630 |
No log | 0.1986 | 200 | 0.6198 | 0.4533 | 0.6198 | 0.7872 |
No log | 0.2006 | 202 | 0.7635 | 0.4209 | 0.7635 | 0.8738 |
No log | 0.2026 | 204 | 0.7246 | 0.4261 | 0.7246 | 0.8512 |
No log | 0.2046 | 206 | 0.5498 | 0.5072 | 0.5498 | 0.7415 |
No log | 0.2066 | 208 | 0.5541 | 0.4848 | 0.5541 | 0.7444 |
No log | 0.2085 | 210 | 0.5437 | 0.5153 | 0.5437 | 0.7373 |
No log | 0.2105 | 212 | 0.6710 | 0.4757 | 0.6710 | 0.8191 |
No log | 0.2125 | 214 | 0.7285 | 0.4625 | 0.7285 | 0.8535 |
No log | 0.2145 | 216 | 0.6743 | 0.4762 | 0.6743 | 0.8212 |
No log | 0.2165 | 218 | 0.5992 | 0.4926 | 0.5992 | 0.7741 |
No log | 0.2185 | 220 | 0.7095 | 0.4422 | 0.7095 | 0.8423 |
No log | 0.2205 | 222 | 0.7947 | 0.3867 | 0.7947 | 0.8915 |
No log | 0.2224 | 224 | 0.5860 | 0.4868 | 0.5860 | 0.7655 |
No log | 0.2244 | 226 | 0.5441 | 0.5228 | 0.5441 | 0.7376 |
No log | 0.2264 | 228 | 0.6245 | 0.4612 | 0.6245 | 0.7903 |
No log | 0.2284 | 230 | 0.6718 | 0.4620 | 0.6718 | 0.8197 |
No log | 0.2304 | 232 | 0.7027 | 0.4224 | 0.7027 | 0.8383 |
No log | 0.2324 | 234 | 0.5607 | 0.4715 | 0.5607 | 0.7488 |
No log | 0.2344 | 236 | 0.5618 | 0.4801 | 0.5618 | 0.7495 |
No log | 0.2363 | 238 | 0.6410 | 0.4641 | 0.6410 | 0.8006 |
No log | 0.2383 | 240 | 0.7248 | 0.3803 | 0.7248 | 0.8513 |
No log | 0.2403 | 242 | 0.8617 | 0.3559 | 0.8617 | 0.9283 |
No log | 0.2423 | 244 | 0.7279 | 0.3990 | 0.7279 | 0.8532 |
No log | 0.2443 | 246 | 0.6123 | 0.3973 | 0.6123 | 0.7825 |
No log | 0.2463 | 248 | 0.6779 | 0.3438 | 0.6779 | 0.8234 |
No log | 0.2483 | 250 | 0.6332 | 0.3669 | 0.6332 | 0.7957 |
No log | 0.2502 | 252 | 0.6308 | 0.4346 | 0.6308 | 0.7942 |
No log | 0.2522 | 254 | 0.6348 | 0.4637 | 0.6348 | 0.7968 |
No log | 0.2542 | 256 | 0.5830 | 0.4491 | 0.5830 | 0.7636 |
No log | 0.2562 | 258 | 0.5863 | 0.4845 | 0.5863 | 0.7657 |
No log | 0.2582 | 260 | 0.6570 | 0.5055 | 0.6570 | 0.8105 |
No log | 0.2602 | 262 | 0.7695 | 0.4303 | 0.7695 | 0.8772 |
No log | 0.2622 | 264 | 0.7063 | 0.4625 | 0.7063 | 0.8404 |
No log | 0.2642 | 266 | 0.5725 | 0.5164 | 0.5725 | 0.7567 |
No log | 0.2661 | 268 | 0.5644 | 0.5004 | 0.5644 | 0.7513 |
No log | 0.2681 | 270 | 0.6126 | 0.4590 | 0.6126 | 0.7827 |
No log | 0.2701 | 272 | 0.6015 | 0.4822 | 0.6015 | 0.7755 |
No log | 0.2721 | 274 | 0.5716 | 0.4692 | 0.5716 | 0.7560 |
No log | 0.2741 | 276 | 0.5983 | 0.4245 | 0.5983 | 0.7735 |
No log | 0.2761 | 278 | 0.5770 | 0.4267 | 0.5770 | 0.7596 |
No log | 0.2781 | 280 | 0.5929 | 0.4780 | 0.5929 | 0.7700 |
No log | 0.2800 | 282 | 0.6408 | 0.4794 | 0.6408 | 0.8005 |
No log | 0.2820 | 284 | 0.6149 | 0.4912 | 0.6149 | 0.7842 |
No log | 0.2840 | 286 | 0.6653 | 0.4831 | 0.6653 | 0.8157 |
No log | 0.2860 | 288 | 0.6121 | 0.5031 | 0.6121 | 0.7823 |
No log | 0.2880 | 290 | 0.7064 | 0.4622 | 0.7064 | 0.8405 |
No log | 0.2900 | 292 | 0.7420 | 0.4545 | 0.7420 | 0.8614 |
No log | 0.2920 | 294 | 0.6447 | 0.5107 | 0.6447 | 0.8030 |
No log | 0.2939 | 296 | 0.5766 | 0.5481 | 0.5766 | 0.7594 |
No log | 0.2959 | 298 | 0.5689 | 0.5403 | 0.5689 | 0.7542 |
No log | 0.2979 | 300 | 0.6820 | 0.4781 | 0.6820 | 0.8258 |
No log | 0.2999 | 302 | 0.6219 | 0.5061 | 0.6219 | 0.7886 |
No log | 0.3019 | 304 | 0.5379 | 0.5164 | 0.5379 | 0.7334 |
No log | 0.3039 | 306 | 0.5403 | 0.5010 | 0.5403 | 0.7350 |
No log | 0.3059 | 308 | 0.6005 | 0.4918 | 0.6005 | 0.7749 |
No log | 0.3078 | 310 | 0.7733 | 0.4161 | 0.7733 | 0.8794 |
No log | 0.3098 | 312 | 0.6863 | 0.4507 | 0.6863 | 0.8284 |
No log | 0.3118 | 314 | 0.5466 | 0.4909 | 0.5466 | 0.7393 |
No log | 0.3138 | 316 | 0.5447 | 0.4869 | 0.5447 | 0.7381 |
No log | 0.3158 | 318 | 0.6360 | 0.4646 | 0.6360 | 0.7975 |
No log | 0.3178 | 320 | 0.7466 | 0.4310 | 0.7466 | 0.8641 |
No log | 0.3198 | 322 | 0.7539 | 0.4182 | 0.7539 | 0.8683 |
No log | 0.3217 | 324 | 0.8132 | 0.4204 | 0.8132 | 0.9018 |
No log | 0.3237 | 326 | 0.6399 | 0.4816 | 0.6399 | 0.7999 |
No log | 0.3257 | 328 | 0.6194 | 0.5013 | 0.6194 | 0.7870 |
No log | 0.3277 | 330 | 0.7706 | 0.4354 | 0.7706 | 0.8779 |
No log | 0.3297 | 332 | 0.7874 | 0.4351 | 0.7874 | 0.8874 |
No log | 0.3317 | 334 | 0.6584 | 0.4751 | 0.6584 | 0.8114 |
No log | 0.3337 | 336 | 0.6470 | 0.4841 | 0.6470 | 0.8044 |
No log | 0.3357 | 338 | 0.8473 | 0.4150 | 0.8473 | 0.9205 |
No log | 0.3376 | 340 | 0.9082 | 0.3854 | 0.9082 | 0.9530 |
No log | 0.3396 | 342 | 0.7503 | 0.4297 | 0.7503 | 0.8662 |
No log | 0.3416 | 344 | 0.8584 | 0.3993 | 0.8584 | 0.9265 |
No log | 0.3436 | 346 | 0.7809 | 0.4243 | 0.7809 | 0.8837 |
No log | 0.3456 | 348 | 0.5610 | 0.5243 | 0.5610 | 0.7490 |
No log | 0.3476 | 350 | 0.5532 | 0.5435 | 0.5532 | 0.7438 |
No log | 0.3496 | 352 | 0.6018 | 0.5127 | 0.6018 | 0.7757 |
No log | 0.3515 | 354 | 0.8079 | 0.4430 | 0.8079 | 0.8988 |
No log | 0.3535 | 356 | 0.7563 | 0.4499 | 0.7563 | 0.8697 |
No log | 0.3555 | 358 | 0.5841 | 0.5035 | 0.5841 | 0.7643 |
No log | 0.3575 | 360 | 0.5414 | 0.5676 | 0.5414 | 0.7358 |
No log | 0.3595 | 362 | 0.5351 | 0.5620 | 0.5351 | 0.7315 |
No log | 0.3615 | 364 | 0.5646 | 0.5453 | 0.5646 | 0.7514 |
No log | 0.3635 | 366 | 0.5716 | 0.5446 | 0.5716 | 0.7560 |
No log | 0.3654 | 368 | 0.6107 | 0.5194 | 0.6107 | 0.7815 |
No log | 0.3674 | 370 | 0.6072 | 0.5248 | 0.6072 | 0.7792 |
No log | 0.3694 | 372 | 0.5728 | 0.5181 | 0.5728 | 0.7569 |
No log | 0.3714 | 374 | 0.6223 | 0.5149 | 0.6223 | 0.7889 |
No log | 0.3734 | 376 | 0.6318 | 0.5045 | 0.6318 | 0.7948 |
No log | 0.3754 | 378 | 0.5854 | 0.5012 | 0.5854 | 0.7651 |
No log | 0.3774 | 380 | 0.6440 | 0.4982 | 0.6440 | 0.8025 |
No log | 0.3793 | 382 | 0.7272 | 0.4373 | 0.7272 | 0.8528 |
No log | 0.3813 | 384 | 0.8188 | 0.4072 | 0.8188 | 0.9049 |
No log | 0.3833 | 386 | 0.6251 | 0.4875 | 0.6251 | 0.7906 |
No log | 0.3853 | 388 | 0.6376 | 0.4324 | 0.6376 | 0.7985 |
No log | 0.3873 | 390 | 0.6793 | 0.4208 | 0.6793 | 0.8242 |
No log | 0.3893 | 392 | 0.6076 | 0.4585 | 0.6076 | 0.7795 |
No log | 0.3913 | 394 | 0.7265 | 0.4442 | 0.7265 | 0.8523 |
No log | 0.3932 | 396 | 0.7037 | 0.4379 | 0.7037 | 0.8389 |
No log | 0.3952 | 398 | 0.6247 | 0.4347 | 0.6247 | 0.7904 |
No log | 0.3972 | 400 | 0.6572 | 0.3708 | 0.6572 | 0.8107 |
No log | 0.3992 | 402 | 0.6208 | 0.3792 | 0.6208 | 0.7879 |
No log | 0.4012 | 404 | 0.6294 | 0.4114 | 0.6294 | 0.7934 |
No log | 0.4032 | 406 | 0.7127 | 0.4002 | 0.7127 | 0.8442 |
No log | 0.4052 | 408 | 0.7978 | 0.4070 | 0.7978 | 0.8932 |
No log | 0.4071 | 410 | 0.8891 | 0.3645 | 0.8891 | 0.9429 |
No log | 0.4091 | 412 | 0.9278 | 0.3493 | 0.9278 | 0.9632 |
No log | 0.4111 | 414 | 0.9305 | 0.3594 | 0.9305 | 0.9646 |
No log | 0.4131 | 416 | 1.2339 | 0.2962 | 1.2339 | 1.1108 |
No log | 0.4151 | 418 | 1.1565 | 0.3167 | 1.1565 | 1.0754 |
No log | 0.4171 | 420 | 0.8596 | 0.3881 | 0.8596 | 0.9272 |
No log | 0.4191 | 422 | 0.8051 | 0.3963 | 0.8051 | 0.8973 |
No log | 0.4211 | 424 | 0.7938 | 0.4108 | 0.7938 | 0.8910 |
No log | 0.4230 | 426 | 0.8390 | 0.4019 | 0.8390 | 0.9160 |
No log | 0.4250 | 428 | 0.6362 | 0.5174 | 0.6362 | 0.7976 |
No log | 0.4270 | 430 | 0.5771 | 0.5244 | 0.5771 | 0.7597 |
No log | 0.4290 | 432 | 0.5983 | 0.5304 | 0.5983 | 0.7735 |
No log | 0.4310 | 434 | 0.7338 | 0.4628 | 0.7338 | 0.8566 |
No log | 0.4330 | 436 | 0.6473 | 0.5168 | 0.6473 | 0.8045 |
No log | 0.4350 | 438 | 0.6160 | 0.5112 | 0.6160 | 0.7848 |
No log | 0.4369 | 440 | 0.9833 | 0.4090 | 0.9833 | 0.9916 |
No log | 0.4389 | 442 | 0.9474 | 0.4146 | 0.9474 | 0.9733 |
No log | 0.4409 | 444 | 0.6374 | 0.4908 | 0.6374 | 0.7984 |
No log | 0.4429 | 446 | 0.6867 | 0.4887 | 0.6867 | 0.8286 |
No log | 0.4449 | 448 | 0.8693 | 0.4417 | 0.8693 | 0.9324 |
No log | 0.4469 | 450 | 0.7725 | 0.4748 | 0.7725 | 0.8789 |
No log | 0.4489 | 452 | 0.5889 | 0.5110 | 0.5889 | 0.7674 |
No log | 0.4508 | 454 | 0.6323 | 0.4795 | 0.6323 | 0.7952 |
No log | 0.4528 | 456 | 0.7201 | 0.4325 | 0.7201 | 0.8486 |
No log | 0.4548 | 458 | 0.6368 | 0.4816 | 0.6368 | 0.7980 |
No log | 0.4568 | 460 | 0.5745 | 0.5349 | 0.5745 | 0.7580 |
No log | 0.4588 | 462 | 0.6213 | 0.4867 | 0.6213 | 0.7882 |
No log | 0.4608 | 464 | 0.5859 | 0.5131 | 0.5859 | 0.7655 |
No log | 0.4628 | 466 | 0.5660 | 0.5211 | 0.5660 | 0.7523 |
No log | 0.4647 | 468 | 0.5686 | 0.5035 | 0.5686 | 0.7541 |
No log | 0.4667 | 470 | 0.5881 | 0.5169 | 0.5881 | 0.7668 |
No log | 0.4687 | 472 | 0.5820 | 0.5364 | 0.5820 | 0.7629 |
No log | 0.4707 | 474 | 0.5607 | 0.5641 | 0.5607 | 0.7488 |
No log | 0.4727 | 476 | 0.5726 | 0.5359 | 0.5726 | 0.7567 |
No log | 0.4747 | 478 | 0.6279 | 0.5058 | 0.6279 | 0.7924 |
No log | 0.4767 | 480 | 0.7919 | 0.4596 | 0.7919 | 0.8899 |
No log | 0.4786 | 482 | 0.8001 | 0.4605 | 0.8001 | 0.8945 |
No log | 0.4806 | 484 | 0.6043 | 0.5401 | 0.6043 | 0.7774 |
No log | 0.4826 | 486 | 0.5651 | 0.5524 | 0.5651 | 0.7517 |
No log | 0.4846 | 488 | 0.5717 | 0.5623 | 0.5717 | 0.7561 |
No log | 0.4866 | 490 | 0.7213 | 0.4822 | 0.7213 | 0.8493 |
No log | 0.4886 | 492 | 1.1569 | 0.3919 | 1.1569 | 1.0756 |
No log | 0.4906 | 494 | 1.1533 | 0.3937 | 1.1533 | 1.0739 |
No log | 0.4926 | 496 | 0.7984 | 0.4827 | 0.7984 | 0.8936 |
No log | 0.4945 | 498 | 0.5415 | 0.5748 | 0.5415 | 0.7359 |
0.9981 | 0.4965 | 500 | 0.5343 | 0.5240 | 0.5343 | 0.7310 |
0.9981 | 0.4985 | 502 | 0.5408 | 0.5231 | 0.5408 | 0.7354 |
0.9981 | 0.5005 | 504 | 0.7343 | 0.4676 | 0.7343 | 0.8569 |
0.9981 | 0.5025 | 506 | 0.9090 | 0.4405 | 0.9090 | 0.9534 |
0.9981 | 0.5045 | 508 | 0.8055 | 0.4367 | 0.8055 | 0.8975 |
0.9981 | 0.5065 | 510 | 0.6026 | 0.4742 | 0.6026 | 0.7763 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
google-bert/bert-base-uncased