ASAP_FineTuningBERT_AugV4_k3_task1_organization_fold4
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: 0.5183
- Qwk: 0.6191
- Mse: 0.5183
- Rmse: 0.7200
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 | 0.0064 | 2 | 10.6976 | 0.0151 | 10.6976 | 3.2707 |
No log | 0.0128 | 4 | 9.9961 | 0.0018 | 9.9961 | 3.1617 |
No log | 0.0192 | 6 | 9.0365 | 0.0018 | 9.0365 | 3.0061 |
No log | 0.0256 | 8 | 7.3828 | 0.0018 | 7.3828 | 2.7171 |
No log | 0.0319 | 10 | 5.9928 | 0.0102 | 5.9928 | 2.4480 |
No log | 0.0383 | 12 | 4.9253 | 0.0180 | 4.9253 | 2.2193 |
No log | 0.0447 | 14 | 3.8175 | 0.0040 | 3.8175 | 1.9538 |
No log | 0.0511 | 16 | 3.0563 | 0.0040 | 3.0563 | 1.7482 |
No log | 0.0575 | 18 | 2.0004 | 0.1124 | 2.0004 | 1.4144 |
No log | 0.0639 | 20 | 1.4535 | 0.0420 | 1.4535 | 1.2056 |
No log | 0.0703 | 22 | 1.1248 | 0.0420 | 1.1248 | 1.0605 |
No log | 0.0767 | 24 | 0.9114 | 0.0833 | 0.9114 | 0.9547 |
No log | 0.0831 | 26 | 0.8260 | 0.1231 | 0.8260 | 0.9089 |
No log | 0.0895 | 28 | 0.8795 | 0.0605 | 0.8795 | 0.9378 |
No log | 0.0958 | 30 | 0.9493 | 0.0605 | 0.9493 | 0.9743 |
No log | 0.1022 | 32 | 0.9037 | 0.0605 | 0.9037 | 0.9506 |
No log | 0.1086 | 34 | 0.9315 | 0.0605 | 0.9315 | 0.9651 |
No log | 0.1150 | 36 | 0.7498 | 0.1357 | 0.7498 | 0.8659 |
No log | 0.1214 | 38 | 0.7274 | 0.2361 | 0.7274 | 0.8529 |
No log | 0.1278 | 40 | 0.7870 | 0.1037 | 0.7870 | 0.8871 |
No log | 0.1342 | 42 | 0.7136 | 0.2055 | 0.7136 | 0.8447 |
No log | 0.1406 | 44 | 0.7068 | 0.2591 | 0.7068 | 0.8407 |
No log | 0.1470 | 46 | 0.8590 | 0.2203 | 0.8590 | 0.9268 |
No log | 0.1534 | 48 | 0.7828 | 0.2050 | 0.7828 | 0.8848 |
No log | 0.1597 | 50 | 0.6309 | 0.3632 | 0.6309 | 0.7943 |
No log | 0.1661 | 52 | 0.6086 | 0.4318 | 0.6086 | 0.7801 |
No log | 0.1725 | 54 | 0.6145 | 0.4475 | 0.6145 | 0.7839 |
No log | 0.1789 | 56 | 0.6889 | 0.3875 | 0.6889 | 0.8300 |
No log | 0.1853 | 58 | 0.5929 | 0.4157 | 0.5929 | 0.7700 |
No log | 0.1917 | 60 | 0.6896 | 0.4145 | 0.6896 | 0.8304 |
No log | 0.1981 | 62 | 0.6523 | 0.3289 | 0.6523 | 0.8077 |
No log | 0.2045 | 64 | 0.6290 | 0.4061 | 0.6290 | 0.7931 |
No log | 0.2109 | 66 | 0.6864 | 0.3736 | 0.6864 | 0.8285 |
No log | 0.2173 | 68 | 0.7471 | 0.3807 | 0.7471 | 0.8644 |
No log | 0.2236 | 70 | 0.7549 | 0.4192 | 0.7549 | 0.8688 |
No log | 0.2300 | 72 | 0.7381 | 0.5186 | 0.7381 | 0.8591 |
No log | 0.2364 | 74 | 0.6931 | 0.4139 | 0.6931 | 0.8325 |
No log | 0.2428 | 76 | 0.7369 | 0.3463 | 0.7369 | 0.8584 |
No log | 0.2492 | 78 | 0.8489 | 0.3165 | 0.8489 | 0.9214 |
No log | 0.2556 | 80 | 0.7489 | 0.4047 | 0.7489 | 0.8654 |
No log | 0.2620 | 82 | 0.6745 | 0.4112 | 0.6745 | 0.8213 |
No log | 0.2684 | 84 | 0.7131 | 0.5075 | 0.7131 | 0.8444 |
No log | 0.2748 | 86 | 0.7908 | 0.4804 | 0.7908 | 0.8893 |
No log | 0.2812 | 88 | 1.0346 | 0.4077 | 1.0346 | 1.0172 |
No log | 0.2875 | 90 | 0.8698 | 0.4421 | 0.8698 | 0.9326 |
No log | 0.2939 | 92 | 0.6438 | 0.5365 | 0.6438 | 0.8024 |
No log | 0.3003 | 94 | 0.6090 | 0.5378 | 0.6090 | 0.7804 |
No log | 0.3067 | 96 | 0.6244 | 0.5424 | 0.6244 | 0.7902 |
No log | 0.3131 | 98 | 0.6923 | 0.5570 | 0.6923 | 0.8320 |
No log | 0.3195 | 100 | 0.7009 | 0.5376 | 0.7009 | 0.8372 |
No log | 0.3259 | 102 | 0.6552 | 0.5085 | 0.6552 | 0.8094 |
No log | 0.3323 | 104 | 0.5452 | 0.4638 | 0.5452 | 0.7384 |
No log | 0.3387 | 106 | 0.5407 | 0.4658 | 0.5407 | 0.7353 |
No log | 0.3450 | 108 | 0.7330 | 0.4800 | 0.7330 | 0.8561 |
No log | 0.3514 | 110 | 1.1506 | 0.3597 | 1.1506 | 1.0727 |
No log | 0.3578 | 112 | 1.0139 | 0.3951 | 1.0139 | 1.0069 |
No log | 0.3642 | 114 | 0.5955 | 0.4726 | 0.5955 | 0.7717 |
No log | 0.3706 | 116 | 0.5616 | 0.4614 | 0.5616 | 0.7494 |
No log | 0.3770 | 118 | 0.5556 | 0.4670 | 0.5556 | 0.7454 |
No log | 0.3834 | 120 | 0.5376 | 0.5675 | 0.5376 | 0.7332 |
No log | 0.3898 | 122 | 0.7907 | 0.4735 | 0.7907 | 0.8892 |
No log | 0.3962 | 124 | 0.7590 | 0.4692 | 0.7590 | 0.8712 |
No log | 0.4026 | 126 | 0.5981 | 0.5777 | 0.5981 | 0.7734 |
No log | 0.4089 | 128 | 0.5535 | 0.5461 | 0.5535 | 0.7440 |
No log | 0.4153 | 130 | 0.6093 | 0.5038 | 0.6093 | 0.7806 |
No log | 0.4217 | 132 | 0.5694 | 0.5472 | 0.5694 | 0.7546 |
No log | 0.4281 | 134 | 0.6110 | 0.5382 | 0.6110 | 0.7817 |
No log | 0.4345 | 136 | 0.8399 | 0.4528 | 0.8399 | 0.9164 |
No log | 0.4409 | 138 | 0.9017 | 0.4320 | 0.9017 | 0.9496 |
No log | 0.4473 | 140 | 0.7277 | 0.4878 | 0.7277 | 0.8530 |
No log | 0.4537 | 142 | 0.6339 | 0.4652 | 0.6339 | 0.7962 |
No log | 0.4601 | 144 | 0.7151 | 0.4801 | 0.7151 | 0.8456 |
No log | 0.4665 | 146 | 0.9164 | 0.4252 | 0.9164 | 0.9573 |
No log | 0.4728 | 148 | 0.7634 | 0.4757 | 0.7634 | 0.8738 |
No log | 0.4792 | 150 | 0.7318 | 0.4892 | 0.7318 | 0.8555 |
No log | 0.4856 | 152 | 0.7747 | 0.4820 | 0.7747 | 0.8802 |
No log | 0.4920 | 154 | 0.9758 | 0.4370 | 0.9758 | 0.9878 |
No log | 0.4984 | 156 | 0.8152 | 0.4758 | 0.8152 | 0.9029 |
No log | 0.5048 | 158 | 0.5220 | 0.5721 | 0.5220 | 0.7225 |
No log | 0.5112 | 160 | 0.4944 | 0.5654 | 0.4944 | 0.7031 |
No log | 0.5176 | 162 | 0.5132 | 0.5805 | 0.5132 | 0.7164 |
No log | 0.5240 | 164 | 0.6965 | 0.5424 | 0.6965 | 0.8346 |
No log | 0.5304 | 166 | 0.6770 | 0.5525 | 0.6770 | 0.8228 |
No log | 0.5367 | 168 | 0.5627 | 0.5600 | 0.5627 | 0.7501 |
No log | 0.5431 | 170 | 0.5510 | 0.5530 | 0.5510 | 0.7423 |
No log | 0.5495 | 172 | 0.5958 | 0.5517 | 0.5958 | 0.7719 |
No log | 0.5559 | 174 | 0.8923 | 0.4366 | 0.8923 | 0.9446 |
No log | 0.5623 | 176 | 1.0900 | 0.3945 | 1.0900 | 1.0440 |
No log | 0.5687 | 178 | 0.9399 | 0.4268 | 0.9399 | 0.9695 |
No log | 0.5751 | 180 | 0.6555 | 0.5037 | 0.6555 | 0.8096 |
No log | 0.5815 | 182 | 0.5297 | 0.5122 | 0.5297 | 0.7278 |
No log | 0.5879 | 184 | 0.5230 | 0.5539 | 0.5230 | 0.7232 |
No log | 0.5942 | 186 | 0.7054 | 0.5277 | 0.7054 | 0.8399 |
No log | 0.6006 | 188 | 0.8842 | 0.4678 | 0.8842 | 0.9403 |
No log | 0.6070 | 190 | 0.7241 | 0.5416 | 0.7241 | 0.8510 |
No log | 0.6134 | 192 | 0.5087 | 0.6113 | 0.5087 | 0.7132 |
No log | 0.6198 | 194 | 0.5255 | 0.5797 | 0.5255 | 0.7249 |
No log | 0.6262 | 196 | 0.5003 | 0.6131 | 0.5003 | 0.7073 |
No log | 0.6326 | 198 | 0.5129 | 0.6167 | 0.5129 | 0.7162 |
No log | 0.6390 | 200 | 0.5193 | 0.6127 | 0.5193 | 0.7206 |
No log | 0.6454 | 202 | 0.5125 | 0.6105 | 0.5125 | 0.7159 |
No log | 0.6518 | 204 | 0.5372 | 0.5561 | 0.5372 | 0.7329 |
No log | 0.6581 | 206 | 0.5307 | 0.5629 | 0.5307 | 0.7285 |
No log | 0.6645 | 208 | 0.6072 | 0.5420 | 0.6072 | 0.7792 |
No log | 0.6709 | 210 | 0.6902 | 0.5041 | 0.6902 | 0.8308 |
No log | 0.6773 | 212 | 0.6275 | 0.5060 | 0.6275 | 0.7921 |
No log | 0.6837 | 214 | 0.6659 | 0.4955 | 0.6659 | 0.8160 |
No log | 0.6901 | 216 | 0.8504 | 0.4816 | 0.8504 | 0.9221 |
No log | 0.6965 | 218 | 0.7728 | 0.4895 | 0.7728 | 0.8791 |
No log | 0.7029 | 220 | 0.5888 | 0.5305 | 0.5888 | 0.7673 |
No log | 0.7093 | 222 | 0.5723 | 0.5547 | 0.5723 | 0.7565 |
No log | 0.7157 | 224 | 0.6764 | 0.5201 | 0.6764 | 0.8225 |
No log | 0.7220 | 226 | 0.6787 | 0.5433 | 0.6787 | 0.8239 |
No log | 0.7284 | 228 | 0.5720 | 0.5775 | 0.5720 | 0.7563 |
No log | 0.7348 | 230 | 0.5406 | 0.5739 | 0.5406 | 0.7352 |
No log | 0.7412 | 232 | 0.5786 | 0.5507 | 0.5786 | 0.7607 |
No log | 0.7476 | 234 | 0.5417 | 0.6061 | 0.5417 | 0.7360 |
No log | 0.7540 | 236 | 0.5549 | 0.6198 | 0.5549 | 0.7449 |
No log | 0.7604 | 238 | 0.5894 | 0.6030 | 0.5894 | 0.7677 |
No log | 0.7668 | 240 | 0.5628 | 0.6096 | 0.5628 | 0.7502 |
No log | 0.7732 | 242 | 0.5680 | 0.5939 | 0.5680 | 0.7536 |
No log | 0.7796 | 244 | 0.5545 | 0.6026 | 0.5545 | 0.7447 |
No log | 0.7859 | 246 | 0.6209 | 0.5798 | 0.6209 | 0.7880 |
No log | 0.7923 | 248 | 0.7483 | 0.5264 | 0.7483 | 0.8651 |
No log | 0.7987 | 250 | 0.7413 | 0.5167 | 0.7413 | 0.8610 |
No log | 0.8051 | 252 | 0.5843 | 0.5632 | 0.5843 | 0.7644 |
No log | 0.8115 | 254 | 0.5770 | 0.5675 | 0.5770 | 0.7596 |
No log | 0.8179 | 256 | 0.6677 | 0.5504 | 0.6677 | 0.8171 |
No log | 0.8243 | 258 | 0.6314 | 0.5567 | 0.6314 | 0.7946 |
No log | 0.8307 | 260 | 0.6593 | 0.5544 | 0.6593 | 0.8120 |
No log | 0.8371 | 262 | 0.6755 | 0.5428 | 0.6755 | 0.8219 |
No log | 0.8435 | 264 | 0.7745 | 0.5121 | 0.7745 | 0.8801 |
No log | 0.8498 | 266 | 0.7679 | 0.5149 | 0.7679 | 0.8763 |
No log | 0.8562 | 268 | 0.6124 | 0.5478 | 0.6124 | 0.7826 |
No log | 0.8626 | 270 | 0.5935 | 0.5798 | 0.5935 | 0.7704 |
No log | 0.8690 | 272 | 0.5883 | 0.5813 | 0.5883 | 0.7670 |
No log | 0.8754 | 274 | 0.5864 | 0.5967 | 0.5864 | 0.7657 |
No log | 0.8818 | 276 | 0.5265 | 0.6343 | 0.5265 | 0.7256 |
No log | 0.8882 | 278 | 0.5375 | 0.6310 | 0.5375 | 0.7331 |
No log | 0.8946 | 280 | 0.6137 | 0.5894 | 0.6137 | 0.7834 |
No log | 0.9010 | 282 | 0.5380 | 0.6121 | 0.5380 | 0.7335 |
No log | 0.9073 | 284 | 0.4957 | 0.6259 | 0.4957 | 0.7041 |
No log | 0.9137 | 286 | 0.4976 | 0.6084 | 0.4976 | 0.7054 |
No log | 0.9201 | 288 | 0.5236 | 0.5967 | 0.5236 | 0.7236 |
No log | 0.9265 | 290 | 0.5187 | 0.6106 | 0.5187 | 0.7202 |
No log | 0.9329 | 292 | 0.5303 | 0.6008 | 0.5303 | 0.7282 |
No log | 0.9393 | 294 | 0.5534 | 0.5930 | 0.5534 | 0.7439 |
No log | 0.9457 | 296 | 0.5842 | 0.5795 | 0.5842 | 0.7643 |
No log | 0.9521 | 298 | 0.5277 | 0.6080 | 0.5277 | 0.7264 |
No log | 0.9585 | 300 | 0.5998 | 0.5844 | 0.5998 | 0.7745 |
No log | 0.9649 | 302 | 0.5526 | 0.5904 | 0.5526 | 0.7434 |
No log | 0.9712 | 304 | 0.5529 | 0.5457 | 0.5529 | 0.7435 |
No log | 0.9776 | 306 | 0.5998 | 0.5086 | 0.5998 | 0.7745 |
No log | 0.9840 | 308 | 0.5176 | 0.5762 | 0.5176 | 0.7195 |
No log | 0.9904 | 310 | 0.5566 | 0.6154 | 0.5566 | 0.7460 |
No log | 0.9968 | 312 | 0.5388 | 0.6095 | 0.5388 | 0.7340 |
No log | 1.0032 | 314 | 0.5417 | 0.6016 | 0.5417 | 0.7360 |
No log | 1.0096 | 316 | 0.5253 | 0.5878 | 0.5253 | 0.7248 |
No log | 1.0160 | 318 | 0.5322 | 0.5899 | 0.5322 | 0.7296 |
No log | 1.0224 | 320 | 0.5501 | 0.5963 | 0.5501 | 0.7417 |
No log | 1.0288 | 322 | 0.6302 | 0.5789 | 0.6302 | 0.7939 |
No log | 1.0351 | 324 | 0.5568 | 0.6101 | 0.5568 | 0.7462 |
No log | 1.0415 | 326 | 0.5858 | 0.6215 | 0.5858 | 0.7654 |
No log | 1.0479 | 328 | 0.6811 | 0.5482 | 0.6811 | 0.8253 |
No log | 1.0543 | 330 | 0.5708 | 0.6023 | 0.5708 | 0.7555 |
No log | 1.0607 | 332 | 0.5379 | 0.6203 | 0.5379 | 0.7334 |
No log | 1.0671 | 334 | 0.5669 | 0.6034 | 0.5669 | 0.7529 |
No log | 1.0735 | 336 | 0.6221 | 0.5690 | 0.6221 | 0.7888 |
No log | 1.0799 | 338 | 0.5613 | 0.5943 | 0.5613 | 0.7492 |
No log | 1.0863 | 340 | 0.5605 | 0.5720 | 0.5605 | 0.7487 |
No log | 1.0927 | 342 | 0.5771 | 0.5774 | 0.5771 | 0.7597 |
No log | 1.0990 | 344 | 0.5707 | 0.5775 | 0.5707 | 0.7555 |
No log | 1.1054 | 346 | 0.5464 | 0.5912 | 0.5464 | 0.7392 |
No log | 1.1118 | 348 | 0.5536 | 0.5879 | 0.5536 | 0.7440 |
No log | 1.1182 | 350 | 0.7107 | 0.5470 | 0.7107 | 0.8430 |
No log | 1.1246 | 352 | 0.8504 | 0.5279 | 0.8504 | 0.9222 |
No log | 1.1310 | 354 | 0.6671 | 0.5361 | 0.6671 | 0.8167 |
No log | 1.1374 | 356 | 0.5682 | 0.5996 | 0.5682 | 0.7538 |
No log | 1.1438 | 358 | 0.5568 | 0.5918 | 0.5568 | 0.7462 |
No log | 1.1502 | 360 | 0.6755 | 0.5351 | 0.6755 | 0.8219 |
No log | 1.1565 | 362 | 0.7539 | 0.5183 | 0.7539 | 0.8683 |
No log | 1.1629 | 364 | 0.6043 | 0.5598 | 0.6043 | 0.7773 |
No log | 1.1693 | 366 | 0.5314 | 0.6074 | 0.5314 | 0.7289 |
No log | 1.1757 | 368 | 0.5330 | 0.6132 | 0.5330 | 0.7301 |
No log | 1.1821 | 370 | 0.6910 | 0.5233 | 0.6910 | 0.8312 |
No log | 1.1885 | 372 | 0.7723 | 0.5260 | 0.7723 | 0.8788 |
No log | 1.1949 | 374 | 0.6120 | 0.5772 | 0.6120 | 0.7823 |
No log | 1.2013 | 376 | 0.5166 | 0.6242 | 0.5166 | 0.7188 |
No log | 1.2077 | 378 | 0.5251 | 0.6228 | 0.5251 | 0.7246 |
No log | 1.2141 | 380 | 0.5431 | 0.6145 | 0.5431 | 0.7369 |
No log | 1.2204 | 382 | 0.4983 | 0.6497 | 0.4983 | 0.7059 |
No log | 1.2268 | 384 | 0.4982 | 0.6413 | 0.4982 | 0.7058 |
No log | 1.2332 | 386 | 0.5007 | 0.6385 | 0.5007 | 0.7076 |
No log | 1.2396 | 388 | 0.5311 | 0.6088 | 0.5311 | 0.7288 |
No log | 1.2460 | 390 | 0.5182 | 0.6190 | 0.5182 | 0.7199 |
No log | 1.2524 | 392 | 0.5226 | 0.6232 | 0.5226 | 0.7229 |
No log | 1.2588 | 394 | 0.5408 | 0.6302 | 0.5408 | 0.7354 |
No log | 1.2652 | 396 | 0.6128 | 0.5768 | 0.6128 | 0.7828 |
No log | 1.2716 | 398 | 0.7495 | 0.5705 | 0.7495 | 0.8657 |
No log | 1.2780 | 400 | 0.6667 | 0.5763 | 0.6667 | 0.8165 |
No log | 1.2843 | 402 | 0.5745 | 0.6158 | 0.5745 | 0.7579 |
No log | 1.2907 | 404 | 0.5674 | 0.6219 | 0.5674 | 0.7533 |
No log | 1.2971 | 406 | 0.5665 | 0.6354 | 0.5665 | 0.7527 |
No log | 1.3035 | 408 | 0.5966 | 0.5975 | 0.5966 | 0.7724 |
No log | 1.3099 | 410 | 0.5241 | 0.6258 | 0.5241 | 0.7240 |
No log | 1.3163 | 412 | 0.5306 | 0.5973 | 0.5306 | 0.7284 |
No log | 1.3227 | 414 | 0.5108 | 0.6141 | 0.5108 | 0.7147 |
No log | 1.3291 | 416 | 0.5241 | 0.6077 | 0.5241 | 0.7239 |
No log | 1.3355 | 418 | 0.6375 | 0.5584 | 0.6375 | 0.7984 |
No log | 1.3419 | 420 | 0.5985 | 0.5589 | 0.5985 | 0.7736 |
No log | 1.3482 | 422 | 0.5688 | 0.5743 | 0.5688 | 0.7542 |
No log | 1.3546 | 424 | 0.5825 | 0.5786 | 0.5825 | 0.7632 |
No log | 1.3610 | 426 | 0.5940 | 0.5713 | 0.5940 | 0.7707 |
No log | 1.3674 | 428 | 0.6371 | 0.5538 | 0.6371 | 0.7982 |
No log | 1.3738 | 430 | 0.5536 | 0.5933 | 0.5536 | 0.7440 |
No log | 1.3802 | 432 | 0.5361 | 0.6228 | 0.5361 | 0.7322 |
No log | 1.3866 | 434 | 0.5363 | 0.6196 | 0.5363 | 0.7324 |
No log | 1.3930 | 436 | 0.5986 | 0.5910 | 0.5986 | 0.7737 |
No log | 1.3994 | 438 | 0.6832 | 0.5581 | 0.6832 | 0.8265 |
No log | 1.4058 | 440 | 0.5976 | 0.5918 | 0.5976 | 0.7730 |
No log | 1.4121 | 442 | 0.5662 | 0.6115 | 0.5662 | 0.7525 |
No log | 1.4185 | 444 | 0.5450 | 0.6189 | 0.5450 | 0.7382 |
No log | 1.4249 | 446 | 0.5688 | 0.5996 | 0.5688 | 0.7542 |
No log | 1.4313 | 448 | 0.5659 | 0.6006 | 0.5659 | 0.7522 |
No log | 1.4377 | 450 | 0.5032 | 0.6415 | 0.5032 | 0.7094 |
No log | 1.4441 | 452 | 0.5190 | 0.5966 | 0.5190 | 0.7204 |
No log | 1.4505 | 454 | 0.5279 | 0.5892 | 0.5279 | 0.7266 |
No log | 1.4569 | 456 | 0.6419 | 0.5718 | 0.6419 | 0.8012 |
No log | 1.4633 | 458 | 0.7961 | 0.5293 | 0.7961 | 0.8922 |
No log | 1.4696 | 460 | 0.7711 | 0.5256 | 0.7711 | 0.8781 |
No log | 1.4760 | 462 | 0.6106 | 0.5730 | 0.6106 | 0.7814 |
No log | 1.4824 | 464 | 0.5586 | 0.6024 | 0.5586 | 0.7474 |
No log | 1.4888 | 466 | 0.5769 | 0.5931 | 0.5769 | 0.7595 |
No log | 1.4952 | 468 | 0.6146 | 0.5663 | 0.6146 | 0.7839 |
No log | 1.5016 | 470 | 0.6625 | 0.5599 | 0.6625 | 0.8139 |
No log | 1.5080 | 472 | 0.5637 | 0.5903 | 0.5637 | 0.7508 |
No log | 1.5144 | 474 | 0.5309 | 0.6050 | 0.5309 | 0.7286 |
No log | 1.5208 | 476 | 0.6172 | 0.5900 | 0.6172 | 0.7856 |
No log | 1.5272 | 478 | 0.7000 | 0.5519 | 0.7000 | 0.8367 |
No log | 1.5335 | 480 | 0.6096 | 0.5713 | 0.6096 | 0.7807 |
No log | 1.5399 | 482 | 0.5232 | 0.6118 | 0.5232 | 0.7233 |
No log | 1.5463 | 484 | 0.5266 | 0.6177 | 0.5266 | 0.7257 |
No log | 1.5527 | 486 | 0.5599 | 0.6258 | 0.5599 | 0.7483 |
No log | 1.5591 | 488 | 0.5965 | 0.5881 | 0.5965 | 0.7723 |
No log | 1.5655 | 490 | 0.7104 | 0.5544 | 0.7104 | 0.8429 |
No log | 1.5719 | 492 | 0.6976 | 0.5641 | 0.6976 | 0.8352 |
No log | 1.5783 | 494 | 0.5298 | 0.6249 | 0.5298 | 0.7278 |
No log | 1.5847 | 496 | 0.5669 | 0.6061 | 0.5669 | 0.7529 |
No log | 1.5911 | 498 | 0.5585 | 0.6088 | 0.5585 | 0.7473 |
0.9486 | 1.5974 | 500 | 0.5040 | 0.6488 | 0.5040 | 0.7099 |
0.9486 | 1.6038 | 502 | 0.5498 | 0.6225 | 0.5498 | 0.7415 |
0.9486 | 1.6102 | 504 | 0.5270 | 0.6211 | 0.5270 | 0.7259 |
0.9486 | 1.6166 | 506 | 0.5168 | 0.6109 | 0.5168 | 0.7189 |
0.9486 | 1.6230 | 508 | 0.5160 | 0.6206 | 0.5160 | 0.7184 |
0.9486 | 1.6294 | 510 | 0.5183 | 0.6191 | 0.5183 | 0.7200 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ASAP_FineTuningBERT_AugV4_k3_task1_organization_fold4
Base model
google-bert/bert-base-uncased