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multiberts-seed_1_stereoset_classifieronly

asun17904 / multiberts-seed_1_stereoset_classifieronly

Run on huggingface.co
huggingface.co
Total runs: 5
24-hour runs: 1
7-day runs: -2
30-day runs: -10
Model's Last Updated: March 24 2023
text-classification

Introduction of multiberts-seed_1_stereoset_classifieronly

Model Details of multiberts-seed_1_stereoset_classifieronly

multiberts-seed_1_stereoset_classifieronly

This model is a fine-tuned version of google/multiberts-seed_1 on the stereoset dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6867
  • Accuracy: 0.5597
  • Tp: 0.3234
  • Tn: 0.2363
  • Fp: 0.2763
  • Fn: 0.1641
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
0.7062 0.43 20 0.6925 0.5220 0.2951 0.2268 0.2857 0.1923
0.6988 0.85 40 0.6985 0.5181 0.4082 0.1099 0.4027 0.0793
0.7023 1.28 60 0.6920 0.5173 0.2951 0.2221 0.2904 0.1923
0.6934 1.7 80 0.6944 0.5196 0.3422 0.1774 0.3352 0.1452
0.6983 2.13 100 0.6918 0.5204 0.3093 0.2111 0.3014 0.1782
0.7046 2.55 120 0.6922 0.5188 0.3265 0.1923 0.3203 0.1609
0.7051 2.98 140 0.6912 0.5283 0.2111 0.3171 0.1954 0.2763
0.6994 3.4 160 0.6944 0.5196 0.3540 0.1656 0.3469 0.1334
0.6914 3.83 180 0.6962 0.5212 0.3854 0.1358 0.3768 0.1020
0.7066 4.26 200 0.6907 0.5330 0.2347 0.2983 0.2143 0.2527
0.6975 4.68 220 0.6914 0.5345 0.2904 0.2441 0.2684 0.1970
0.6995 5.11 240 0.6923 0.5275 0.3289 0.1986 0.3140 0.1586
0.7011 5.53 260 0.6909 0.5377 0.2881 0.2496 0.2630 0.1994
0.6985 5.96 280 0.6924 0.5251 0.3407 0.1845 0.3281 0.1468
0.6957 6.38 300 0.6915 0.5275 0.3281 0.1994 0.3132 0.1593
0.7033 6.81 320 0.6904 0.5400 0.2889 0.2512 0.2614 0.1986
0.6989 7.23 340 0.6900 0.5392 0.2394 0.2998 0.2127 0.2480
0.6913 7.66 360 0.6906 0.5353 0.3203 0.2151 0.2975 0.1672
0.6906 8.09 380 0.6950 0.5290 0.3721 0.1570 0.3556 0.1154
0.6854 8.51 400 0.6908 0.5338 0.2873 0.2465 0.2661 0.2002
0.6888 8.94 420 0.6948 0.5290 0.3689 0.1601 0.3524 0.1185
0.7005 9.36 440 0.6935 0.5330 0.3485 0.1845 0.3281 0.1389
0.695 9.79 460 0.6899 0.5392 0.2465 0.2928 0.2198 0.2410
0.69 10.21 480 0.6916 0.5259 0.2896 0.2363 0.2763 0.1978
0.6904 10.64 500 0.6918 0.5275 0.3022 0.2253 0.2873 0.1852
0.6802 11.06 520 0.6928 0.5235 0.3155 0.2080 0.3046 0.1719
0.6986 11.49 540 0.6918 0.5275 0.3077 0.2198 0.2928 0.1797
0.697 11.91 560 0.6895 0.5408 0.2637 0.2771 0.2355 0.2237
0.6957 12.34 580 0.6916 0.5361 0.3234 0.2127 0.2998 0.1641
0.6967 12.77 600 0.6932 0.5267 0.3407 0.1860 0.3265 0.1468
0.6915 13.19 620 0.6907 0.5361 0.2818 0.2543 0.2582 0.2057
0.686 13.62 640 0.6925 0.5306 0.3328 0.1978 0.3148 0.1546
0.6972 14.04 660 0.6900 0.5385 0.2818 0.2567 0.2559 0.2057
0.687 14.47 680 0.6891 0.5385 0.2441 0.2943 0.2182 0.2433
0.7001 14.89 700 0.6885 0.5338 0.2378 0.2959 0.2166 0.2496
0.6925 15.32 720 0.6887 0.5408 0.2951 0.2457 0.2669 0.1923
0.6956 15.74 740 0.6904 0.5408 0.3414 0.1994 0.3132 0.1460
0.6825 16.17 760 0.6892 0.5345 0.2967 0.2378 0.2747 0.1907
0.6872 16.6 780 0.6889 0.5416 0.3022 0.2394 0.2732 0.1852
0.6916 17.02 800 0.6913 0.5416 0.3462 0.1954 0.3171 0.1413
0.6891 17.45 820 0.6909 0.5361 0.3336 0.2025 0.3100 0.1538
0.696 17.87 840 0.6881 0.5463 0.2630 0.2834 0.2292 0.2245
0.6926 18.3 860 0.6886 0.5432 0.2865 0.2567 0.2559 0.2009
0.6867 18.72 880 0.6889 0.5416 0.2998 0.2418 0.2708 0.1876
0.6957 19.15 900 0.6883 0.5447 0.2889 0.2559 0.2567 0.1986
0.6753 19.57 920 0.6884 0.5432 0.2983 0.2449 0.2677 0.1892
0.7012 20.0 940 0.6903 0.5416 0.3438 0.1978 0.3148 0.1436
0.6994 20.43 960 0.6883 0.5432 0.2959 0.2473 0.2653 0.1915
0.6871 20.85 980 0.6889 0.5447 0.3265 0.2182 0.2943 0.1609
0.6946 21.28 1000 0.6892 0.5479 0.3297 0.2182 0.2943 0.1578
0.6853 21.7 1020 0.6887 0.5455 0.3226 0.2229 0.2896 0.1648
0.6988 22.13 1040 0.6900 0.5455 0.3509 0.1947 0.3179 0.1366
0.6933 22.55 1060 0.6873 0.5455 0.2661 0.2794 0.2331 0.2214
0.6868 22.98 1080 0.6899 0.5432 0.3556 0.1876 0.3250 0.1319
0.6931 23.4 1100 0.6905 0.5400 0.3619 0.1782 0.3344 0.1256
0.6907 23.83 1120 0.6869 0.5502 0.2912 0.2590 0.2535 0.1962
0.6848 24.26 1140 0.6878 0.5502 0.3163 0.2339 0.2786 0.1711
0.7056 24.68 1160 0.6887 0.5487 0.3336 0.2151 0.2975 0.1538
0.6797 25.11 1180 0.6878 0.5447 0.3077 0.2370 0.2755 0.1797
0.6891 25.53 1200 0.6885 0.5463 0.3179 0.2284 0.2841 0.1695
0.6945 25.96 1220 0.6892 0.5495 0.3399 0.2096 0.3030 0.1476
0.6798 26.38 1240 0.6907 0.5440 0.3603 0.1837 0.3289 0.1272
0.7025 26.81 1260 0.6872 0.5495 0.2943 0.2551 0.2575 0.1931
0.6903 27.23 1280 0.6870 0.5424 0.2669 0.2755 0.2370 0.2206
0.6995 27.66 1300 0.6885 0.5487 0.3359 0.2127 0.2998 0.1515
0.6916 28.09 1320 0.6872 0.5495 0.3046 0.2449 0.2677 0.1829
0.695 28.51 1340 0.6866 0.5463 0.2559 0.2904 0.2221 0.2316
0.6864 28.94 1360 0.6875 0.5495 0.3226 0.2268 0.2857 0.1648
0.6932 29.36 1380 0.6870 0.5510 0.3100 0.2410 0.2716 0.1774
0.6876 29.79 1400 0.6866 0.5510 0.3022 0.2488 0.2637 0.1852
0.6923 30.21 1420 0.6878 0.5495 0.3312 0.2182 0.2943 0.1562
0.6954 30.64 1440 0.6906 0.5432 0.3681 0.1750 0.3375 0.1193
0.699 31.06 1460 0.6891 0.5502 0.3516 0.1986 0.3140 0.1358
0.6864 31.49 1480 0.6877 0.5542 0.3140 0.2402 0.2724 0.1735
0.6952 31.91 1500 0.6868 0.5518 0.2818 0.2700 0.2425 0.2057
0.6936 32.34 1520 0.6870 0.5510 0.3022 0.2488 0.2637 0.1852
0.6892 32.77 1540 0.6891 0.5463 0.3524 0.1939 0.3187 0.1350
0.6891 33.19 1560 0.6884 0.5463 0.3430 0.2033 0.3093 0.1444
0.6836 33.62 1580 0.6874 0.5534 0.3375 0.2159 0.2967 0.1499
0.6824 34.04 1600 0.6869 0.5526 0.3140 0.2386 0.2739 0.1735
0.6834 34.47 1620 0.6894 0.5440 0.3603 0.1837 0.3289 0.1272
0.6961 34.89 1640 0.6874 0.5526 0.3265 0.2261 0.2865 0.1609
0.6935 35.32 1660 0.6862 0.5479 0.2684 0.2794 0.2331 0.2190
0.6881 35.74 1680 0.6867 0.5479 0.2967 0.2512 0.2614 0.1907
0.6935 36.17 1700 0.6883 0.5502 0.3383 0.2119 0.3006 0.1491
0.6874 36.6 1720 0.6873 0.5565 0.3179 0.2386 0.2739 0.1695
0.683 37.02 1740 0.6872 0.5549 0.3163 0.2386 0.2739 0.1711
0.6931 37.45 1760 0.6871 0.5581 0.3234 0.2347 0.2779 0.1641
0.6859 37.87 1780 0.6877 0.5479 0.3367 0.2111 0.3014 0.1507
0.6877 38.3 1800 0.6882 0.5455 0.3438 0.2017 0.3108 0.1436
0.6938 38.72 1820 0.6883 0.5471 0.3462 0.2009 0.3116 0.1413
0.694 39.15 1840 0.6868 0.5565 0.3148 0.2418 0.2708 0.1727
0.6938 39.57 1860 0.6862 0.5542 0.2975 0.2567 0.2559 0.1900
0.6883 40.0 1880 0.6865 0.5526 0.3030 0.2496 0.2630 0.1845
0.6867 40.43 1900 0.6868 0.5526 0.3124 0.2402 0.2724 0.1750
0.6933 40.85 1920 0.6867 0.5542 0.3132 0.2410 0.2716 0.1743
0.6915 41.28 1940 0.6868 0.5557 0.3163 0.2394 0.2732 0.1711
0.6905 41.7 1960 0.6865 0.5542 0.3116 0.2425 0.2700 0.1758
0.7036 42.13 1980 0.6864 0.5510 0.3069 0.2441 0.2684 0.1805
0.6892 42.55 2000 0.6866 0.5534 0.3108 0.2425 0.2700 0.1766
0.6811 42.98 2020 0.6868 0.5581 0.3226 0.2355 0.2771 0.1648
0.6925 43.4 2040 0.6875 0.5526 0.3383 0.2143 0.2983 0.1491
0.6963 43.83 2060 0.6877 0.5502 0.3422 0.2080 0.3046 0.1452
0.6887 44.26 2080 0.6869 0.5597 0.3250 0.2347 0.2779 0.1625
0.6896 44.68 2100 0.6870 0.5589 0.3250 0.2339 0.2786 0.1625
0.6826 45.11 2120 0.6872 0.5597 0.3312 0.2284 0.2841 0.1562
0.6823 45.53 2140 0.6873 0.5565 0.3328 0.2237 0.2889 0.1546
0.6982 45.96 2160 0.6872 0.5557 0.3305 0.2253 0.2873 0.1570
0.6874 46.38 2180 0.6870 0.5597 0.3281 0.2316 0.2810 0.1593
0.6887 46.81 2200 0.6867 0.5573 0.3226 0.2347 0.2779 0.1648
0.6967 47.23 2220 0.6868 0.5589 0.3250 0.2339 0.2786 0.1625
0.6867 47.66 2240 0.6869 0.5581 0.3265 0.2316 0.2810 0.1609
0.678 48.09 2260 0.6868 0.5581 0.3257 0.2323 0.2802 0.1617
0.6847 48.51 2280 0.6867 0.5597 0.3250 0.2347 0.2779 0.1625
0.6933 48.94 2300 0.6867 0.5604 0.3242 0.2363 0.2763 0.1633
0.6847 49.36 2320 0.6866 0.5612 0.3234 0.2378 0.2747 0.1641
0.6906 49.79 2340 0.6867 0.5597 0.3234 0.2363 0.2763 0.1641
Framework versions
  • Transformers 4.26.1
  • Pytorch 1.13.1
  • Datasets 2.10.1
  • Tokenizers 0.13.2

Runs of asun17904 multiberts-seed_1_stereoset_classifieronly on huggingface.co

5
Total runs
1
24-hour runs
-1
3-day runs
-2
7-day runs
-10
30-day runs

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