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multiberts-seed_2-step_2000k_stereoset_classifieronly

asun17904 / multiberts-seed_2-step_2000k_stereoset_classifieronly

Run on huggingface.co
huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: -1
30-day runs: 2
Model's Last Updated: March 25 2023
text-classification

Introduction of multiberts-seed_2-step_2000k_stereoset_classifieronly

Model Details of multiberts-seed_2-step_2000k_stereoset_classifieronly

multiberts-seed_2-step_2000k_stereoset_classifieronly

This model is a fine-tuned version of google/multiberts-seed_2-step_2000k on the stereoset dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6815
  • Accuracy: 0.5691
  • Tp: 0.3077
  • Tn: 0.2614
  • Fp: 0.2410
  • Fn: 0.1900
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: 5e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50
Training results
Training Loss Epoch Step Validation Loss Accuracy Tp Tn Fp Fn
0.7142 0.43 20 0.6867 0.5432 0.3407 0.2025 0.2998 0.1570
0.7173 0.85 40 0.6869 0.5338 0.2645 0.2692 0.2331 0.2331
0.7004 1.28 60 0.6867 0.5447 0.3085 0.2363 0.2661 0.1892
0.7047 1.7 80 0.6871 0.5432 0.2998 0.2433 0.2590 0.1978
0.6944 2.13 100 0.6907 0.5118 0.1350 0.3768 0.1256 0.3626
0.6885 2.55 120 0.6867 0.5392 0.2943 0.2449 0.2575 0.2033
0.7054 2.98 140 0.6875 0.5283 0.2496 0.2786 0.2237 0.2480
0.6907 3.4 160 0.6872 0.5298 0.2520 0.2779 0.2245 0.2457
0.6993 3.83 180 0.6866 0.5400 0.3179 0.2221 0.2802 0.1797
0.7032 4.26 200 0.6890 0.5298 0.2268 0.3030 0.1994 0.2708
0.7015 4.68 220 0.6879 0.5330 0.2590 0.2739 0.2284 0.2386
0.6969 5.11 240 0.6865 0.5479 0.3446 0.2033 0.2991 0.1531
0.695 5.53 260 0.6857 0.5408 0.3085 0.2323 0.2700 0.1892
0.6943 5.96 280 0.6867 0.5283 0.2559 0.2724 0.2300 0.2418
0.7008 6.38 300 0.6902 0.5173 0.1013 0.4160 0.0863 0.3964
0.7037 6.81 320 0.6859 0.5338 0.2849 0.2488 0.2535 0.2127
0.6967 7.23 340 0.6861 0.5557 0.3783 0.1774 0.3250 0.1193
0.6922 7.66 360 0.6856 0.5377 0.2818 0.2559 0.2465 0.2159
0.6951 8.09 380 0.6887 0.5188 0.1217 0.3972 0.1052 0.3760
0.6893 8.51 400 0.6860 0.5424 0.2441 0.2983 0.2041 0.2535
0.6992 8.94 420 0.6857 0.5385 0.2732 0.2653 0.2370 0.2245
0.6821 9.36 440 0.6854 0.5510 0.3265 0.2245 0.2779 0.1711
0.7006 9.79 460 0.6855 0.5361 0.2904 0.2457 0.2567 0.2072
0.6934 10.21 480 0.6864 0.5392 0.2582 0.2810 0.2214 0.2394
0.6935 10.64 500 0.6894 0.5204 0.1538 0.3666 0.1358 0.3438
0.6961 11.06 520 0.6865 0.5416 0.3359 0.2057 0.2967 0.1617
0.6925 11.49 540 0.6873 0.5392 0.2410 0.2983 0.2041 0.2567
0.6972 11.91 560 0.6875 0.5204 0.1939 0.3265 0.1758 0.3038
0.6935 12.34 580 0.6847 0.5518 0.3524 0.1994 0.3030 0.1452
0.6847 12.77 600 0.6884 0.5165 0.1075 0.4089 0.0934 0.3901
0.6912 13.19 620 0.6868 0.5432 0.2457 0.2975 0.2049 0.2520
0.6957 13.62 640 0.6872 0.5228 0.1884 0.3344 0.1680 0.3093
0.7036 14.04 660 0.6853 0.5549 0.3846 0.1703 0.3320 0.1130
0.6948 14.47 680 0.6852 0.5510 0.3603 0.1907 0.3116 0.1374
0.6981 14.89 700 0.6860 0.5385 0.2637 0.2747 0.2276 0.2339
0.695 15.32 720 0.6844 0.5581 0.3250 0.2331 0.2692 0.1727
0.688 15.74 740 0.6837 0.5612 0.3783 0.1829 0.3195 0.1193
0.7009 16.17 760 0.6869 0.5290 0.1350 0.3940 0.1083 0.3626
0.687 16.6 780 0.6868 0.5322 0.1397 0.3925 0.1099 0.3579
0.6876 17.02 800 0.6844 0.5534 0.3320 0.2214 0.2810 0.1656
0.6941 17.45 820 0.6846 0.5612 0.3006 0.2606 0.2418 0.1970
0.6972 17.87 840 0.6835 0.5636 0.3673 0.1962 0.3061 0.1303
0.6919 18.3 860 0.6836 0.5565 0.3336 0.2229 0.2794 0.1641
0.6861 18.72 880 0.6829 0.5636 0.3540 0.2096 0.2928 0.1436
0.701 19.15 900 0.6855 0.5330 0.1931 0.3399 0.1625 0.3046
0.6898 19.57 920 0.6860 0.5322 0.1970 0.3352 0.1672 0.3006
0.6905 20.0 940 0.6851 0.5581 0.2936 0.2645 0.2378 0.2041
0.6858 20.43 960 0.6848 0.5557 0.2896 0.2661 0.2363 0.2080
0.689 20.85 980 0.6849 0.5479 0.2119 0.3359 0.1664 0.2857
0.7016 21.28 1000 0.6830 0.5651 0.3407 0.2245 0.2779 0.1570
0.686 21.7 1020 0.6829 0.5675 0.3462 0.2214 0.2810 0.1515
0.6908 22.13 1040 0.6839 0.5440 0.2261 0.3179 0.1845 0.2716
0.6871 22.55 1060 0.6835 0.5628 0.2818 0.2810 0.2214 0.2159
0.7029 22.98 1080 0.6830 0.5683 0.3100 0.2582 0.2441 0.1876
0.6906 23.4 1100 0.6828 0.5667 0.3289 0.2378 0.2645 0.1688
0.6864 23.83 1120 0.6829 0.5612 0.3673 0.1939 0.3085 0.1303
0.6918 24.26 1140 0.6833 0.5659 0.3014 0.2645 0.2378 0.1962
0.6938 24.68 1160 0.6834 0.5628 0.3328 0.2300 0.2724 0.1648
0.6864 25.11 1180 0.6838 0.5565 0.2512 0.3053 0.1970 0.2465
0.698 25.53 1200 0.6829 0.5675 0.2998 0.2677 0.2347 0.1978
0.702 25.96 1220 0.6824 0.5604 0.3469 0.2135 0.2889 0.1507
0.6996 26.38 1240 0.6823 0.5597 0.3917 0.1680 0.3344 0.1060
0.6946 26.81 1260 0.6827 0.5659 0.2881 0.2779 0.2245 0.2096
0.6908 27.23 1280 0.6831 0.5636 0.2716 0.2920 0.2104 0.2261
0.7009 27.66 1300 0.6829 0.5659 0.3328 0.2331 0.2692 0.1648
0.6885 28.09 1320 0.6829 0.5699 0.3195 0.2504 0.2520 0.1782
0.6852 28.51 1340 0.6827 0.5691 0.3006 0.2684 0.2339 0.1970
0.6879 28.94 1360 0.6824 0.5706 0.2983 0.2724 0.2300 0.1994
0.6848 29.36 1380 0.6824 0.5675 0.2763 0.2912 0.2111 0.2214
0.6857 29.79 1400 0.6820 0.5651 0.3336 0.2316 0.2708 0.1641
0.6909 30.21 1420 0.6819 0.5628 0.3493 0.2135 0.2889 0.1484
0.6865 30.64 1440 0.6819 0.5597 0.3469 0.2127 0.2896 0.1507
0.6962 31.06 1460 0.6816 0.5644 0.3516 0.2127 0.2896 0.1460
0.6954 31.49 1480 0.6817 0.5699 0.3367 0.2331 0.2692 0.1609
0.6815 31.91 1500 0.6817 0.5683 0.3328 0.2355 0.2669 0.1648
0.692 32.34 1520 0.6818 0.5722 0.3187 0.2535 0.2488 0.1790
0.6907 32.77 1540 0.6813 0.5651 0.3422 0.2229 0.2794 0.1554
0.6936 33.19 1560 0.6818 0.5659 0.2943 0.2716 0.2308 0.2033
0.6965 33.62 1580 0.6825 0.5612 0.2567 0.3046 0.1978 0.2410
0.6811 34.04 1600 0.6822 0.5644 0.2810 0.2834 0.2190 0.2166
0.6926 34.47 1620 0.6820 0.5651 0.2936 0.2716 0.2308 0.2041
0.6843 34.89 1640 0.6817 0.5589 0.3352 0.2237 0.2786 0.1625
0.6902 35.32 1660 0.6818 0.5730 0.3297 0.2433 0.2590 0.1680
0.6868 35.74 1680 0.6822 0.5659 0.2959 0.2700 0.2323 0.2017
0.6825 36.17 1700 0.6827 0.5542 0.2504 0.3038 0.1986 0.2473
0.6888 36.6 1720 0.6828 0.5549 0.2527 0.3022 0.2002 0.2449
0.6835 37.02 1740 0.6824 0.5651 0.2975 0.2677 0.2347 0.2002
0.6917 37.45 1760 0.6820 0.5644 0.3399 0.2245 0.2779 0.1578
0.69 37.87 1780 0.6824 0.5699 0.3093 0.2606 0.2418 0.1884
0.684 38.3 1800 0.6822 0.5730 0.3187 0.2543 0.2480 0.1790
0.6819 38.72 1820 0.6820 0.5754 0.3320 0.2433 0.2590 0.1656
0.6924 39.15 1840 0.6829 0.5510 0.2394 0.3116 0.1907 0.2582
0.6868 39.57 1860 0.6834 0.5526 0.2111 0.3414 0.1609 0.2865
0.6842 40.0 1880 0.6836 0.5518 0.2009 0.3509 0.1515 0.2967
0.6883 40.43 1900 0.6826 0.5565 0.2622 0.2943 0.2080 0.2355
0.6789 40.85 1920 0.6825 0.5549 0.2590 0.2959 0.2064 0.2386
0.6992 41.28 1940 0.6821 0.5699 0.3116 0.2582 0.2441 0.1860
0.6827 41.7 1960 0.6822 0.5604 0.2975 0.2630 0.2394 0.2002
0.6884 42.13 1980 0.6817 0.5785 0.3407 0.2378 0.2645 0.1570
0.6902 42.55 2000 0.6818 0.5636 0.2998 0.2637 0.2386 0.1978
0.6854 42.98 2020 0.6817 0.5699 0.3061 0.2637 0.2386 0.1915
0.6845 43.4 2040 0.6815 0.5793 0.3305 0.2488 0.2535 0.1672
0.6912 43.83 2060 0.6813 0.5683 0.3407 0.2276 0.2747 0.1570
0.6823 44.26 2080 0.6814 0.5746 0.3163 0.2582 0.2441 0.1813
0.678 44.68 2100 0.6814 0.5706 0.3077 0.2630 0.2394 0.1900
0.6857 45.11 2120 0.6813 0.5738 0.3140 0.2598 0.2425 0.1837
0.6874 45.53 2140 0.6813 0.5769 0.3312 0.2457 0.2567 0.1664
0.6864 45.96 2160 0.6814 0.5761 0.3179 0.2582 0.2441 0.1797
0.6865 46.38 2180 0.6815 0.5722 0.3148 0.2575 0.2449 0.1829
0.6843 46.81 2200 0.6815 0.5683 0.3046 0.2637 0.2386 0.1931
0.6899 47.23 2220 0.6816 0.5644 0.3030 0.2614 0.2410 0.1947
0.6886 47.66 2240 0.6816 0.5651 0.2959 0.2692 0.2331 0.2017
0.6897 48.09 2260 0.6816 0.5651 0.2998 0.2653 0.2370 0.1978
0.6847 48.51 2280 0.6816 0.5651 0.3006 0.2645 0.2378 0.1970
0.6883 48.94 2300 0.6815 0.5699 0.3061 0.2637 0.2386 0.1915
0.6913 49.36 2320 0.6815 0.5706 0.3093 0.2614 0.2410 0.1884
0.6849 49.79 2340 0.6815 0.5691 0.3077 0.2614 0.2410 0.1900
Framework versions
  • Transformers 4.26.1
  • Pytorch 1.13.1
  • Datasets 2.10.1
  • Tokenizers 0.13.2

Runs of asun17904 multiberts-seed_2-step_2000k_stereoset_classifieronly on huggingface.co

8
Total runs
0
24-hour runs
-1
3-day runs
-1
7-day runs
2
30-day runs

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