mert_cmp_single_nse

This model is a fine-tuned version of m-a-p/MERT-v0 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9750
  • Accuracy: 0.7132
  • Precision Micro: 0.7132
  • Recall Micro: 0.7132
  • F1 Micro: 0.7132
  • Precision Macro: 0.6817
  • Recall Macro: 0.6740
  • F1 Macro: 0.6672
  • Precision Weighted: 0.7132
  • Recall Weighted: 0.7132
  • F1 Weighted: 0.7052

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: 0.005
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 200

Training results

Training Loss Epoch Step Validation Loss Accuracy Precision Micro Recall Micro F1 Micro Precision Macro Recall Macro F1 Macro Precision Weighted Recall Weighted F1 Weighted
1.607 1.0 192 1.3559 0.4447 0.4447 0.4447 0.4447 0.3859 0.4278 0.3416 0.4509 0.4447 0.3810
1.407 2.0 384 1.2990 0.4607 0.4607 0.4607 0.4607 0.3987 0.4546 0.3814 0.4415 0.4607 0.4047
1.3415 3.0 576 1.2486 0.5156 0.5156 0.5156 0.5156 0.4259 0.5366 0.4446 0.5046 0.5156 0.4884
1.2628 4.0 768 1.1842 0.5492 0.5492 0.5492 0.5492 0.4662 0.5326 0.4759 0.5301 0.5492 0.5263
1.2316 5.0 960 1.1394 0.5858 0.5858 0.5858 0.5858 0.4809 0.5459 0.5093 0.5313 0.5858 0.5551
1.219 6.0 1152 1.0897 0.5523 0.5523 0.5523 0.5523 0.4602 0.5295 0.4775 0.5222 0.5523 0.5171
1.2034 7.0 1344 1.1280 0.5606 0.5606 0.5606 0.5606 0.4697 0.5404 0.4911 0.5240 0.5606 0.5260
1.1801 8.0 1536 1.0489 0.5904 0.5904 0.5904 0.5904 0.4925 0.5480 0.5134 0.5421 0.5904 0.5601
1.1668 9.0 1728 1.0886 0.5736 0.5736 0.5736 0.5736 0.4704 0.5626 0.4984 0.5364 0.5736 0.5414
1.1606 10.0 1920 1.1040 0.5637 0.5637 0.5637 0.5637 0.5272 0.5531 0.5147 0.5797 0.5637 0.5456
1.1279 11.0 2112 1.0697 0.5614 0.5614 0.5614 0.5614 0.5419 0.5388 0.4881 0.5775 0.5614 0.5192
1.0985 12.0 2304 1.0258 0.5965 0.5965 0.5965 0.5965 0.5802 0.5591 0.5237 0.5912 0.5965 0.5632
1.1136 13.0 2496 1.1465 0.5645 0.5645 0.5645 0.5645 0.5004 0.4954 0.4748 0.5384 0.5645 0.5271
1.0795 14.0 2688 1.3491 0.5843 0.5843 0.5843 0.5843 0.5281 0.5194 0.5112 0.5555 0.5843 0.5547
1.0585 15.0 2880 1.2309 0.5950 0.5950 0.5950 0.5950 0.5096 0.5434 0.5222 0.5419 0.5950 0.5631
1.0962 16.0 3072 1.0549 0.6095 0.6095 0.6095 0.6095 0.5208 0.5590 0.5353 0.5611 0.6095 0.5806
1.0365 17.0 3264 1.1118 0.5850 0.5850 0.5850 0.5850 0.5612 0.5695 0.5191 0.6032 0.5850 0.5506
1.0389 18.0 3456 1.0790 0.6217 0.6217 0.6217 0.6217 0.5504 0.5866 0.5512 0.5985 0.6217 0.5986
1.0498 19.0 3648 1.0949 0.6056 0.6056 0.6056 0.6056 0.5665 0.5887 0.5552 0.6144 0.6056 0.5971
1.0212 20.0 3840 1.0884 0.6041 0.6041 0.6041 0.6041 0.5845 0.5738 0.5251 0.6138 0.6041 0.5681
1.0269 21.0 4032 1.0606 0.6301 0.6301 0.6301 0.6301 0.6048 0.5978 0.5817 0.6304 0.6301 0.6126
1.0068 22.0 4224 1.1584 0.5690 0.5690 0.5690 0.5690 0.6019 0.5875 0.4961 0.6473 0.5690 0.5466
1.0192 23.0 4416 1.1837 0.6133 0.6133 0.6133 0.6133 0.6090 0.5680 0.5749 0.6103 0.6133 0.5990
1.0346 24.0 4608 1.3584 0.5873 0.5873 0.5873 0.5873 0.5365 0.5439 0.5224 0.5777 0.5873 0.5596
0.9572 25.0 4800 1.0044 0.6293 0.6293 0.6293 0.6293 0.5858 0.5927 0.5823 0.6185 0.6293 0.6196
0.9688 26.0 4992 0.9949 0.6117 0.6117 0.6117 0.6117 0.5746 0.5810 0.5669 0.6167 0.6117 0.6033
0.9744 27.0 5184 1.2110 0.6392 0.6392 0.6392 0.6392 0.6218 0.5844 0.5730 0.6386 0.6392 0.6180
0.9776 28.0 5376 1.0603 0.6453 0.6453 0.6453 0.6453 0.5307 0.6046 0.5600 0.5950 0.6453 0.6124
0.9797 29.0 5568 1.1807 0.6209 0.6209 0.6209 0.6209 0.6475 0.5691 0.5457 0.6453 0.6209 0.5929
0.9423 30.0 5760 1.2613 0.6201 0.6201 0.6201 0.6201 0.6079 0.5844 0.5447 0.6357 0.6201 0.5917
0.9233 31.0 5952 1.1114 0.6255 0.6255 0.6255 0.6255 0.5948 0.6008 0.5652 0.6181 0.6255 0.6023
0.9696 32.0 6144 1.2268 0.6087 0.6087 0.6087 0.6087 0.6119 0.5573 0.5435 0.6192 0.6087 0.5868
0.9166 33.0 6336 1.1326 0.6499 0.6499 0.6499 0.6499 0.6381 0.5990 0.5780 0.6521 0.6499 0.6242
0.8916 34.0 6528 1.2382 0.6316 0.6316 0.6316 0.6316 0.6446 0.5997 0.5767 0.6530 0.6316 0.6086
0.919 35.0 6720 1.1989 0.6240 0.6240 0.6240 0.6240 0.6526 0.5786 0.5542 0.6504 0.6240 0.5956
0.9314 36.0 6912 1.2372 0.6552 0.6552 0.6552 0.6552 0.6649 0.5927 0.5825 0.6738 0.6552 0.6314
0.9107 37.0 7104 1.1582 0.6545 0.6545 0.6545 0.6545 0.6486 0.6460 0.5961 0.6778 0.6545 0.6358
0.9044 38.0 7296 1.1471 0.6316 0.6316 0.6316 0.6316 0.6513 0.5885 0.5633 0.6546 0.6316 0.6074
0.8877 39.0 7488 1.1052 0.6484 0.6484 0.6484 0.6484 0.6509 0.6045 0.5665 0.6622 0.6484 0.6182
0.8526 40.0 7680 1.2574 0.6751 0.6751 0.6751 0.6751 0.6928 0.6360 0.6173 0.6935 0.6751 0.6551
0.8712 41.0 7872 1.1521 0.6415 0.6415 0.6415 0.6415 0.6411 0.5994 0.5849 0.6515 0.6415 0.6228
0.8728 42.0 8064 1.1905 0.6384 0.6384 0.6384 0.6384 0.6254 0.6168 0.5853 0.6593 0.6384 0.6184
0.8835 43.0 8256 1.1435 0.6629 0.6629 0.6629 0.6629 0.6134 0.6099 0.6007 0.6466 0.6629 0.6462
0.8341 44.0 8448 1.2884 0.6621 0.6621 0.6621 0.6621 0.6414 0.6278 0.6021 0.6630 0.6621 0.6435
0.8523 45.0 8640 1.2624 0.6537 0.6537 0.6537 0.6537 0.6747 0.6139 0.6004 0.6726 0.6537 0.6355
0.9055 46.0 8832 1.1137 0.6606 0.6606 0.6606 0.6606 0.6466 0.5994 0.6093 0.6694 0.6606 0.6520
0.8353 47.0 9024 1.3152 0.6476 0.6476 0.6476 0.6476 0.5990 0.6231 0.6002 0.6357 0.6476 0.6361
0.8534 48.0 9216 1.3329 0.6430 0.6430 0.6430 0.6430 0.6225 0.6145 0.5759 0.6469 0.6430 0.6172
0.8644 49.0 9408 1.2992 0.6697 0.6697 0.6697 0.6697 0.6577 0.6498 0.6211 0.6822 0.6697 0.6555
0.8855 50.0 9600 1.1431 0.6690 0.6690 0.6690 0.6690 0.6565 0.6170 0.5906 0.6736 0.6690 0.6407
0.8077 51.0 9792 1.1859 0.6827 0.6827 0.6827 0.6827 0.6280 0.6534 0.6294 0.6718 0.6827 0.6700
0.8038 52.0 9984 1.1350 0.6636 0.6636 0.6636 0.6636 0.6283 0.6547 0.6285 0.6651 0.6636 0.6567
0.8189 53.0 10176 1.1752 0.6583 0.6583 0.6583 0.6583 0.6658 0.6264 0.5976 0.6772 0.6583 0.6370
0.8488 54.0 10368 1.2030 0.6667 0.6667 0.6667 0.6667 0.6494 0.6276 0.6115 0.6708 0.6667 0.6508
0.8018 55.0 10560 1.1059 0.6712 0.6712 0.6712 0.6712 0.6428 0.6408 0.6345 0.6671 0.6712 0.6629
0.8058 56.0 10752 1.1779 0.6697 0.6697 0.6697 0.6697 0.6339 0.6409 0.6130 0.6698 0.6697 0.6542
0.7793 57.0 10944 1.2871 0.6659 0.6659 0.6659 0.6659 0.6391 0.6333 0.6031 0.6664 0.6659 0.6454
0.795 58.0 11136 1.3088 0.6751 0.6751 0.6751 0.6751 0.6467 0.6555 0.6426 0.6777 0.6751 0.6705
0.7903 59.0 11328 1.3937 0.6758 0.6758 0.6758 0.6758 0.6452 0.6325 0.6113 0.6754 0.6758 0.6546
0.8024 60.0 11520 1.2951 0.6629 0.6629 0.6629 0.6629 0.6373 0.6155 0.6015 0.6507 0.6629 0.6409
0.7846 61.0 11712 1.4113 0.6484 0.6484 0.6484 0.6484 0.6185 0.6198 0.5820 0.6491 0.6484 0.6246
0.78 62.0 11904 1.1698 0.6712 0.6712 0.6712 0.6712 0.6549 0.6423 0.6300 0.6706 0.6712 0.6591
0.7666 63.0 12096 1.4623 0.6583 0.6583 0.6583 0.6583 0.6780 0.6180 0.5882 0.6859 0.6583 0.6328
0.775 64.0 12288 1.4944 0.6537 0.6537 0.6537 0.6537 0.6335 0.6197 0.6040 0.6512 0.6537 0.6349
0.8153 65.0 12480 1.4137 0.6812 0.6812 0.6812 0.6812 0.6626 0.6386 0.6275 0.6798 0.6812 0.6660
0.7389 66.0 12672 1.3423 0.6873 0.6873 0.6873 0.6873 0.6426 0.6488 0.6187 0.6779 0.6873 0.6654
0.7818 67.0 12864 1.4067 0.6659 0.6659 0.6659 0.6659 0.6201 0.6291 0.6137 0.6536 0.6659 0.6530
0.7571 68.0 13056 1.4498 0.6850 0.6850 0.6850 0.6850 0.6599 0.6481 0.6203 0.6882 0.6850 0.6637
0.7476 69.0 13248 1.2351 0.6751 0.6751 0.6751 0.6751 0.6445 0.6166 0.6095 0.6684 0.6751 0.6564
0.7567 70.0 13440 1.4760 0.6895 0.6895 0.6895 0.6895 0.6612 0.6556 0.6424 0.6867 0.6895 0.6770
0.7919 71.0 13632 1.1386 0.6789 0.6789 0.6789 0.6789 0.6450 0.6462 0.6271 0.6773 0.6789 0.6651
0.7421 72.0 13824 1.2441 0.6888 0.6888 0.6888 0.6888 0.6463 0.6356 0.6172 0.6788 0.6888 0.6680
0.7555 73.0 14016 1.5891 0.6781 0.6781 0.6781 0.6781 0.6462 0.6483 0.6245 0.6858 0.6781 0.6678
0.7572 74.0 14208 1.5133 0.6918 0.6918 0.6918 0.6918 0.6768 0.6544 0.6576 0.6900 0.6918 0.6850
0.7284 75.0 14400 1.6124 0.6674 0.6674 0.6674 0.6674 0.6582 0.6339 0.6311 0.6696 0.6674 0.6562
0.7553 76.0 14592 1.6356 0.6514 0.6514 0.6514 0.6514 0.6233 0.6222 0.5949 0.6472 0.6514 0.6313
0.7058 77.0 14784 1.3671 0.6606 0.6606 0.6606 0.6606 0.6638 0.6153 0.6094 0.6716 0.6606 0.6451
0.74 78.0 14976 1.4456 0.6903 0.6903 0.6903 0.6903 0.6896 0.6441 0.6293 0.6985 0.6903 0.6709
0.7274 79.0 15168 1.2708 0.6766 0.6766 0.6766 0.6766 0.6581 0.6261 0.6191 0.6759 0.6766 0.6613
0.7108 80.0 15360 1.2781 0.6957 0.6957 0.6957 0.6957 0.6646 0.6529 0.6449 0.6890 0.6957 0.6837
0.6989 81.0 15552 1.4560 0.6850 0.6850 0.6850 0.6850 0.6610 0.6458 0.6318 0.6854 0.6850 0.6700
0.7001 82.0 15744 1.5504 0.6575 0.6575 0.6575 0.6575 0.6307 0.6269 0.6168 0.6605 0.6575 0.6492
0.6731 83.0 15936 1.7144 0.6781 0.6781 0.6781 0.6781 0.6525 0.6569 0.6368 0.6850 0.6781 0.6708
0.6948 84.0 16128 1.4266 0.6995 0.6995 0.6995 0.6995 0.6950 0.6581 0.6584 0.7045 0.6995 0.6888
0.6709 85.0 16320 1.4075 0.6804 0.6804 0.6804 0.6804 0.6553 0.6434 0.6375 0.6766 0.6804 0.6710
0.6836 86.0 16512 1.4883 0.6590 0.6590 0.6590 0.6590 0.6337 0.6199 0.6086 0.6548 0.6590 0.6435
0.7046 87.0 16704 1.3066 0.6895 0.6895 0.6895 0.6895 0.6629 0.6572 0.6354 0.6924 0.6895 0.6748
0.6741 88.0 16896 1.2577 0.6865 0.6865 0.6865 0.6865 0.6890 0.6433 0.6214 0.7067 0.6865 0.6671
0.6889 89.0 17088 1.2343 0.6781 0.6781 0.6781 0.6781 0.6658 0.6474 0.6363 0.6855 0.6781 0.6661
0.6848 90.0 17280 1.2996 0.6995 0.6995 0.6995 0.6995 0.6628 0.6682 0.6594 0.6936 0.6995 0.6928
0.6675 91.0 17472 1.2649 0.6888 0.6888 0.6888 0.6888 0.6480 0.6624 0.6309 0.6918 0.6888 0.6754
0.6476 92.0 17664 1.4824 0.6796 0.6796 0.6796 0.6796 0.6632 0.6315 0.6147 0.6826 0.6796 0.6604
0.6416 93.0 17856 1.6575 0.6987 0.6987 0.6987 0.6987 0.6665 0.6587 0.6451 0.6945 0.6987 0.6864
0.6459 94.0 18048 1.4711 0.7071 0.7071 0.7071 0.7071 0.6790 0.6718 0.6641 0.7048 0.7071 0.6990
0.6758 95.0 18240 1.5885 0.6796 0.6796 0.6796 0.6796 0.6775 0.6404 0.6198 0.6980 0.6796 0.6608
0.6608 96.0 18432 1.8510 0.6712 0.6712 0.6712 0.6712 0.6426 0.6243 0.6032 0.6702 0.6712 0.6507
0.6986 97.0 18624 1.4376 0.6789 0.6789 0.6789 0.6789 0.6654 0.6488 0.6324 0.6894 0.6789 0.6665
0.655 98.0 18816 1.4168 0.6911 0.6911 0.6911 0.6911 0.6726 0.6530 0.6382 0.6950 0.6911 0.6771
0.6641 99.0 19008 1.4857 0.6751 0.6751 0.6751 0.6751 0.6590 0.6305 0.6102 0.6826 0.6751 0.6551
0.623 100.0 19200 1.5752 0.6781 0.6781 0.6781 0.6781 0.6677 0.6438 0.6450 0.6881 0.6781 0.6723
0.6386 101.0 19392 1.5269 0.6728 0.6728 0.6728 0.6728 0.6631 0.6202 0.6132 0.6749 0.6728 0.6544
0.6361 102.0 19584 1.5767 0.6957 0.6957 0.6957 0.6957 0.6786 0.6635 0.6566 0.6989 0.6957 0.6869
0.6348 103.0 19776 1.4711 0.6934 0.6934 0.6934 0.6934 0.6567 0.6583 0.6469 0.6837 0.6934 0.6819
0.6731 104.0 19968 1.4920 0.6934 0.6934 0.6934 0.6934 0.6634 0.6525 0.6417 0.6929 0.6934 0.6811
0.6301 105.0 20160 1.5127 0.6751 0.6751 0.6751 0.6751 0.6596 0.6355 0.6144 0.6835 0.6751 0.6554
0.6618 106.0 20352 1.5279 0.6895 0.6895 0.6895 0.6895 0.6518 0.6415 0.6266 0.6837 0.6895 0.6735
0.647 107.0 20544 1.4412 0.6880 0.6880 0.6880 0.6880 0.6621 0.6397 0.6260 0.6869 0.6880 0.6704
0.5969 108.0 20736 1.6005 0.6705 0.6705 0.6705 0.6705 0.6551 0.6308 0.6155 0.6769 0.6705 0.6531
0.6417 109.0 20928 1.5405 0.6720 0.6720 0.6720 0.6720 0.6575 0.6475 0.6373 0.6755 0.6720 0.6615
0.5936 110.0 21120 1.5514 0.6850 0.6850 0.6850 0.6850 0.6450 0.6567 0.6373 0.6805 0.6850 0.6730
0.6604 111.0 21312 1.4842 0.6751 0.6751 0.6751 0.6751 0.6571 0.6353 0.6303 0.6807 0.6751 0.6641
0.6181 112.0 21504 1.5548 0.6972 0.6972 0.6972 0.6972 0.6726 0.6558 0.6577 0.6942 0.6972 0.6904
0.6212 113.0 21696 1.6979 0.6842 0.6842 0.6842 0.6842 0.6522 0.6365 0.6295 0.6770 0.6842 0.6697
0.6346 114.0 21888 1.5769 0.6895 0.6895 0.6895 0.6895 0.6642 0.6442 0.6389 0.6832 0.6895 0.6761
0.6219 115.0 22080 1.5441 0.7033 0.7033 0.7033 0.7033 0.6700 0.6702 0.6630 0.6976 0.7033 0.6958
0.6307 116.0 22272 1.3654 0.6873 0.6873 0.6873 0.6873 0.6338 0.6472 0.6284 0.6755 0.6873 0.6738
0.6229 117.0 22464 1.5062 0.6941 0.6941 0.6941 0.6941 0.6616 0.6695 0.6554 0.6976 0.6941 0.6870
0.6236 118.0 22656 1.4269 0.6850 0.6850 0.6850 0.6850 0.6386 0.6483 0.6387 0.6765 0.6850 0.6773
0.6087 119.0 22848 1.7151 0.6911 0.6911 0.6911 0.6911 0.6649 0.6678 0.6578 0.6969 0.6911 0.6862
0.6043 120.0 23040 1.5938 0.7010 0.7010 0.7010 0.7010 0.6724 0.6558 0.6498 0.7029 0.7010 0.6914
0.5836 121.0 23232 1.8270 0.6827 0.6827 0.6827 0.6827 0.6601 0.6420 0.6381 0.6824 0.6827 0.6732
0.5744 122.0 23424 1.6394 0.6972 0.6972 0.6972 0.6972 0.6635 0.6603 0.6555 0.6956 0.6972 0.6907
0.5962 123.0 23616 1.5110 0.6926 0.6926 0.6926 0.6926 0.6619 0.6552 0.6369 0.6939 0.6926 0.6782
0.5748 124.0 23808 1.5643 0.7208 0.7208 0.7208 0.7208 0.6930 0.6921 0.6823 0.7241 0.7208 0.7150
0.583 125.0 24000 1.6166 0.6773 0.6773 0.6773 0.6773 0.6482 0.6453 0.6364 0.6772 0.6773 0.6693
0.5662 126.0 24192 1.5633 0.7071 0.7071 0.7071 0.7071 0.6734 0.6671 0.6587 0.7004 0.7071 0.6959
0.606 127.0 24384 1.5673 0.6995 0.6995 0.6995 0.6995 0.6731 0.6580 0.6483 0.7012 0.6995 0.6874
0.5514 128.0 24576 1.7911 0.7071 0.7071 0.7071 0.7071 0.6882 0.6738 0.6678 0.7110 0.7071 0.6989
0.5754 129.0 24768 1.7411 0.7040 0.7040 0.7040 0.7040 0.6783 0.6646 0.6589 0.7034 0.7040 0.6942
0.5736 130.0 24960 1.5579 0.7117 0.7117 0.7117 0.7117 0.6782 0.6759 0.6664 0.7106 0.7117 0.7039
0.5644 131.0 25152 1.6990 0.6964 0.6964 0.6964 0.6964 0.6820 0.6639 0.6531 0.7038 0.6964 0.6857
0.569 132.0 25344 1.6989 0.6911 0.6911 0.6911 0.6911 0.6726 0.6471 0.6414 0.6931 0.6911 0.6779
0.5774 133.0 25536 1.6192 0.7048 0.7048 0.7048 0.7048 0.6904 0.6677 0.6688 0.7114 0.7048 0.6997
0.518 134.0 25728 1.8919 0.7033 0.7033 0.7033 0.7033 0.6874 0.6571 0.6556 0.7039 0.7033 0.6915
0.5982 135.0 25920 1.8296 0.6766 0.6766 0.6766 0.6766 0.6561 0.6529 0.6373 0.6895 0.6766 0.6699
0.5748 136.0 26112 1.7068 0.7185 0.7185 0.7185 0.7185 0.6978 0.6821 0.6749 0.7220 0.7185 0.7097
0.6264 137.0 26304 1.4707 0.7063 0.7063 0.7063 0.7063 0.6686 0.6754 0.6642 0.7066 0.7063 0.7011
0.5729 138.0 26496 1.7704 0.7033 0.7033 0.7033 0.7033 0.6694 0.6755 0.6619 0.7096 0.7033 0.6991
0.548 139.0 26688 1.5986 0.7109 0.7109 0.7109 0.7109 0.6760 0.6807 0.6648 0.7147 0.7109 0.7034
0.5417 140.0 26880 1.7461 0.7033 0.7033 0.7033 0.7033 0.6695 0.6778 0.6601 0.7098 0.7033 0.6971
0.5742 141.0 27072 1.7497 0.7155 0.7155 0.7155 0.7155 0.6880 0.6810 0.6715 0.7195 0.7155 0.7077
0.57 142.0 27264 1.6316 0.7025 0.7025 0.7025 0.7025 0.6768 0.6711 0.6633 0.7082 0.7025 0.6977
0.5533 143.0 27456 1.5841 0.7155 0.7155 0.7155 0.7155 0.6846 0.6792 0.6692 0.7184 0.7155 0.7076
0.5335 144.0 27648 1.7290 0.6964 0.6964 0.6964 0.6964 0.6668 0.6648 0.6567 0.6985 0.6964 0.6902
0.5442 145.0 27840 1.6522 0.7140 0.7140 0.7140 0.7140 0.6914 0.6801 0.6793 0.7155 0.7140 0.7096
0.5332 146.0 28032 1.7051 0.6979 0.6979 0.6979 0.6979 0.6736 0.6662 0.6581 0.7049 0.6979 0.6904
0.5089 147.0 28224 1.6610 0.7101 0.7101 0.7101 0.7101 0.6825 0.6836 0.6771 0.7157 0.7101 0.7074
0.5307 148.0 28416 1.6049 0.7109 0.7109 0.7109 0.7109 0.6833 0.6643 0.6614 0.7087 0.7109 0.7004
0.5652 149.0 28608 1.5608 0.7140 0.7140 0.7140 0.7140 0.6807 0.6754 0.6692 0.7126 0.7140 0.7073
0.5625 150.0 28800 1.8562 0.6850 0.6850 0.6850 0.6850 0.6489 0.6511 0.6379 0.6874 0.6850 0.6774
0.5409 151.0 28992 1.6366 0.7109 0.7109 0.7109 0.7109 0.6717 0.6693 0.6587 0.7069 0.7109 0.7011
0.5187 152.0 29184 1.6122 0.7147 0.7147 0.7147 0.7147 0.6844 0.6779 0.6677 0.7191 0.7147 0.7077
0.5439 153.0 29376 1.5994 0.7033 0.7033 0.7033 0.7033 0.6682 0.6670 0.6619 0.7022 0.7033 0.6981
0.5214 154.0 29568 1.6036 0.7124 0.7124 0.7124 0.7124 0.6659 0.6762 0.6599 0.7074 0.7124 0.7030
0.5171 155.0 29760 1.7052 0.7079 0.7079 0.7079 0.7079 0.6793 0.6754 0.6648 0.7115 0.7079 0.6998
0.5344 156.0 29952 1.4730 0.7094 0.7094 0.7094 0.7094 0.6777 0.6696 0.6644 0.7047 0.7094 0.7006
0.5147 157.0 30144 1.6911 0.7193 0.7193 0.7193 0.7193 0.6864 0.6829 0.6753 0.7177 0.7193 0.7112
0.4828 158.0 30336 2.0215 0.7079 0.7079 0.7079 0.7079 0.6770 0.6791 0.6680 0.7100 0.7079 0.7020
0.4964 159.0 30528 1.6681 0.7132 0.7132 0.7132 0.7132 0.6751 0.6771 0.6687 0.7100 0.7132 0.7066
0.5029 160.0 30720 1.7514 0.7101 0.7101 0.7101 0.7101 0.6813 0.6715 0.6663 0.7098 0.7101 0.7022
0.5107 161.0 30912 1.6907 0.7140 0.7140 0.7140 0.7140 0.6805 0.6744 0.6665 0.7115 0.7140 0.7050
0.4883 162.0 31104 1.8571 0.6957 0.6957 0.6957 0.6957 0.6638 0.6569 0.6474 0.6983 0.6957 0.6876
0.5133 163.0 31296 1.7273 0.7056 0.7056 0.7056 0.7056 0.6738 0.6743 0.6613 0.7097 0.7056 0.6981
0.4823 164.0 31488 1.7755 0.7246 0.7246 0.7246 0.7246 0.6894 0.6888 0.6792 0.7242 0.7246 0.7176
0.4854 165.0 31680 1.7858 0.7071 0.7071 0.7071 0.7071 0.6725 0.6760 0.6650 0.7091 0.7071 0.7015
0.502 166.0 31872 1.8761 0.7079 0.7079 0.7079 0.7079 0.6713 0.6765 0.6644 0.7084 0.7079 0.7015
0.5125 167.0 32064 1.6814 0.7086 0.7086 0.7086 0.7086 0.6820 0.6677 0.6653 0.7084 0.7086 0.7008
0.4878 168.0 32256 1.8586 0.7124 0.7124 0.7124 0.7124 0.6797 0.6778 0.6684 0.7134 0.7124 0.7057
0.5194 169.0 32448 1.8479 0.7185 0.7185 0.7185 0.7185 0.6802 0.6762 0.6657 0.7138 0.7185 0.7078
0.5469 170.0 32640 1.9661 0.7048 0.7048 0.7048 0.7048 0.6675 0.6664 0.6572 0.7010 0.7048 0.6960
0.485 171.0 32832 1.8135 0.7063 0.7063 0.7063 0.7063 0.6751 0.6742 0.6639 0.7064 0.7063 0.6979
0.5114 172.0 33024 1.8663 0.7140 0.7140 0.7140 0.7140 0.6759 0.6775 0.6637 0.7144 0.7140 0.7048
0.4581 173.0 33216 1.7983 0.7117 0.7117 0.7117 0.7117 0.6840 0.6720 0.6624 0.7132 0.7117 0.7014
0.5506 174.0 33408 1.5626 0.7185 0.7185 0.7185 0.7185 0.6823 0.6802 0.6717 0.7135 0.7185 0.7095
0.4769 175.0 33600 1.6893 0.7025 0.7025 0.7025 0.7025 0.6636 0.6631 0.6546 0.6965 0.7025 0.6932
0.4994 176.0 33792 1.7566 0.7079 0.7079 0.7079 0.7079 0.6753 0.6757 0.6651 0.7107 0.7079 0.7005
0.4547 177.0 33984 1.8461 0.7147 0.7147 0.7147 0.7147 0.6827 0.6779 0.6680 0.7133 0.7147 0.7049
0.4988 178.0 34176 1.7769 0.7178 0.7178 0.7178 0.7178 0.6804 0.6809 0.6683 0.7172 0.7178 0.7085
0.4509 179.0 34368 1.8389 0.7140 0.7140 0.7140 0.7140 0.6689 0.6763 0.6624 0.7078 0.7140 0.7043
0.4894 180.0 34560 1.9348 0.7178 0.7178 0.7178 0.7178 0.6843 0.6858 0.6760 0.7214 0.7178 0.7126
0.4614 181.0 34752 1.9625 0.7155 0.7155 0.7155 0.7155 0.6866 0.6817 0.6743 0.7161 0.7155 0.7079
0.4615 182.0 34944 1.8944 0.7132 0.7132 0.7132 0.7132 0.6826 0.6786 0.6679 0.7131 0.7132 0.7043
0.4592 183.0 35136 1.8405 0.7201 0.7201 0.7201 0.7201 0.6840 0.6812 0.6724 0.7170 0.7201 0.7116
0.4827 184.0 35328 1.8725 0.7155 0.7155 0.7155 0.7155 0.6822 0.6823 0.6716 0.7144 0.7155 0.7071
0.4662 185.0 35520 1.7896 0.7277 0.7277 0.7277 0.7277 0.6965 0.6898 0.6830 0.7250 0.7277 0.7191
0.4804 186.0 35712 1.9144 0.7170 0.7170 0.7170 0.7170 0.6859 0.6806 0.6729 0.7159 0.7170 0.7090
0.4677 187.0 35904 2.0640 0.7109 0.7109 0.7109 0.7109 0.6848 0.6774 0.6674 0.7143 0.7109 0.7024
0.4523 188.0 36096 1.9061 0.7231 0.7231 0.7231 0.7231 0.6918 0.6918 0.6856 0.7232 0.7231 0.7185
0.4408 189.0 36288 1.8713 0.7300 0.7300 0.7300 0.7300 0.6978 0.6971 0.6900 0.7304 0.7300 0.7250
0.46 190.0 36480 2.0144 0.7231 0.7231 0.7231 0.7231 0.6899 0.6897 0.6805 0.7221 0.7231 0.7162
0.4627 191.0 36672 1.9990 0.7170 0.7170 0.7170 0.7170 0.6844 0.6822 0.6747 0.7156 0.7170 0.7099
0.447 192.0 36864 2.0092 0.7216 0.7216 0.7216 0.7216 0.6884 0.6876 0.6786 0.7212 0.7216 0.7145
0.4599 193.0 37056 2.0249 0.7201 0.7201 0.7201 0.7201 0.6891 0.6878 0.6782 0.7196 0.7201 0.7124
0.4642 194.0 37248 1.9990 0.7216 0.7216 0.7216 0.7216 0.6924 0.6864 0.6788 0.7222 0.7216 0.7140
0.4614 195.0 37440 1.9922 0.7246 0.7246 0.7246 0.7246 0.6946 0.6889 0.6812 0.7247 0.7246 0.7171
0.4888 196.0 37632 1.9289 0.7193 0.7193 0.7193 0.7193 0.6860 0.6799 0.6730 0.7185 0.7193 0.7114
0.4465 197.0 37824 1.9415 0.7185 0.7185 0.7185 0.7185 0.6847 0.6786 0.6727 0.7168 0.7185 0.7111
0.4531 198.0 38016 1.9791 0.7124 0.7124 0.7124 0.7124 0.6819 0.6734 0.6671 0.7123 0.7124 0.7043
0.4805 199.0 38208 1.9764 0.7124 0.7124 0.7124 0.7124 0.6812 0.6733 0.6666 0.7126 0.7124 0.7045
0.4306 200.0 38400 1.9750 0.7132 0.7132 0.7132 0.7132 0.6817 0.6740 0.6672 0.7132 0.7132 0.7052

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.3.1+cu121
  • Datasets 4.0.0
  • Tokenizers 0.19.1
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