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gpt2_stereoset_classifieronly

henryscheible / gpt2_stereoset_classifieronly

Run on huggingface.co
huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: -2
30-day runs: 2
Model's Last Updated: March 15 2023
text-classification

Introduction of gpt2_stereoset_classifieronly

Model Details of gpt2_stereoset_classifieronly

gpt2_stereoset_classifieronly

This model is a fine-tuned version of gpt2 on the stereoset dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5990
  • Accuracy: 0.6923
  • Tp: 0.3501
  • Tn: 0.3422
  • Fp: 0.1625
  • Fn: 0.1452
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: 0.0005
  • 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
0.8922 0.43 20 0.6913 0.5549 0.2402 0.3148 0.1900 0.2551
0.7884 0.85 40 0.6671 0.5934 0.2182 0.3752 0.1295 0.2771
0.6991 1.28 60 0.6561 0.6193 0.2206 0.3987 0.1060 0.2747
0.6819 1.7 80 0.6499 0.6311 0.2088 0.4223 0.0824 0.2865
0.6501 2.13 100 0.6379 0.6507 0.2991 0.3516 0.1531 0.1962
0.6566 2.55 120 0.6569 0.6185 0.1695 0.4490 0.0557 0.3257
0.6671 2.98 140 0.6313 0.6609 0.2943 0.3666 0.1381 0.2009
0.6551 3.4 160 0.6309 0.6484 0.3862 0.2622 0.2425 0.1091
0.633 3.83 180 0.6244 0.6656 0.3014 0.3642 0.1405 0.1939
0.6432 4.26 200 0.6320 0.6554 0.2402 0.4152 0.0895 0.2551
0.6326 4.68 220 0.6240 0.6601 0.2849 0.3752 0.1295 0.2104
0.6347 5.11 240 0.6259 0.6523 0.3689 0.2834 0.2214 0.1264
0.6204 5.53 260 0.6256 0.6499 0.3697 0.2802 0.2245 0.1256
0.6242 5.96 280 0.6172 0.6774 0.3210 0.3564 0.1484 0.1743
0.6189 6.38 300 0.6186 0.6546 0.3493 0.3053 0.1994 0.1460
0.625 6.81 320 0.6187 0.6727 0.2881 0.3846 0.1201 0.2072
0.5963 7.23 340 0.6173 0.6758 0.3571 0.3187 0.1860 0.1381
0.6214 7.66 360 0.6158 0.6695 0.3203 0.3493 0.1554 0.1750
0.6007 8.09 380 0.6123 0.6797 0.3611 0.3187 0.1860 0.1342
0.6454 8.51 400 0.6168 0.6570 0.3736 0.2834 0.2214 0.1217
0.6012 8.94 420 0.6115 0.6868 0.3320 0.3548 0.1499 0.1633
0.627 9.36 440 0.6485 0.6193 0.1656 0.4537 0.0510 0.3297
0.6213 9.79 460 0.6092 0.6829 0.3022 0.3807 0.1240 0.1931
0.6286 10.21 480 0.6109 0.6711 0.3603 0.3108 0.1939 0.1350
0.609 10.64 500 0.6134 0.6633 0.3611 0.3022 0.2025 0.1342
0.5958 11.06 520 0.6409 0.6248 0.4262 0.1986 0.3061 0.0691
0.6494 11.49 540 0.6332 0.6342 0.4192 0.2151 0.2896 0.0761
0.6012 11.91 560 0.6159 0.6593 0.3885 0.2708 0.2339 0.1068
0.606 12.34 580 0.6050 0.6947 0.3359 0.3587 0.1460 0.1593
0.5872 12.77 600 0.6135 0.6641 0.3878 0.2763 0.2284 0.1075
0.6026 13.19 620 0.6061 0.6962 0.3265 0.3697 0.1350 0.1688
0.6179 13.62 640 0.6118 0.6876 0.2826 0.4050 0.0997 0.2127
0.5744 14.04 660 0.6058 0.6923 0.3030 0.3893 0.1154 0.1923
0.6061 14.47 680 0.6072 0.6860 0.2849 0.4011 0.1036 0.2104
0.609 14.89 700 0.6025 0.7064 0.3367 0.3697 0.1350 0.1586
0.6019 15.32 720 0.6046 0.6876 0.3540 0.3336 0.1711 0.1413
0.6183 15.74 740 0.6087 0.6735 0.3791 0.2943 0.2104 0.1162
0.6173 16.17 760 0.6010 0.6954 0.3407 0.3548 0.1499 0.1546
0.5873 16.6 780 0.6078 0.6766 0.3815 0.2951 0.2096 0.1138
0.6095 17.02 800 0.6151 0.6625 0.3948 0.2677 0.2370 0.1005
0.5936 17.45 820 0.6026 0.6915 0.3469 0.3446 0.1601 0.1484
0.5821 17.87 840 0.6025 0.6931 0.3485 0.3446 0.1601 0.1468
0.6036 18.3 860 0.6032 0.7049 0.3391 0.3658 0.1389 0.1562
0.5872 18.72 880 0.6057 0.6813 0.3587 0.3226 0.1821 0.1366
0.6085 19.15 900 0.6045 0.6845 0.3571 0.3273 0.1774 0.1381
0.5972 19.57 920 0.6203 0.6562 0.4042 0.2520 0.2527 0.0911
0.5732 20.0 940 0.6095 0.6672 0.3807 0.2865 0.2182 0.1146
0.5718 20.43 960 0.6054 0.6868 0.2936 0.3932 0.1115 0.2017
0.5919 20.85 980 0.6031 0.6931 0.3501 0.3430 0.1617 0.1452
0.6175 21.28 1000 0.6088 0.6703 0.3823 0.2881 0.2166 0.1130
0.5793 21.7 1020 0.5986 0.6994 0.3430 0.3564 0.1484 0.1523
0.5943 22.13 1040 0.6064 0.6852 0.2826 0.4027 0.1020 0.2127
0.5716 22.55 1060 0.5996 0.6947 0.3485 0.3462 0.1586 0.1468
0.6115 22.98 1080 0.6111 0.6727 0.3893 0.2834 0.2214 0.1060
0.5984 23.4 1100 0.6058 0.6837 0.3807 0.3030 0.2017 0.1146
0.5882 23.83 1120 0.5993 0.6962 0.3352 0.3611 0.1436 0.1601
0.5924 24.26 1140 0.6128 0.6680 0.3909 0.2771 0.2276 0.1044
0.5984 24.68 1160 0.6017 0.6970 0.3242 0.3728 0.1319 0.1711
0.5781 25.11 1180 0.6018 0.7002 0.3352 0.3650 0.1397 0.1601
0.5937 25.53 1200 0.6051 0.6845 0.3619 0.3226 0.1821 0.1334
0.5678 25.96 1220 0.5998 0.7002 0.3297 0.3705 0.1342 0.1656
0.5776 26.38 1240 0.6202 0.6523 0.3972 0.2551 0.2496 0.0981
0.5891 26.81 1260 0.6080 0.6821 0.3791 0.3030 0.2017 0.1162
0.5915 27.23 1280 0.6026 0.6947 0.2998 0.3948 0.1099 0.1954
0.5972 27.66 1300 0.5994 0.6931 0.3556 0.3375 0.1672 0.1397
0.5721 28.09 1320 0.6038 0.6829 0.3736 0.3093 0.1954 0.1217
0.5813 28.51 1340 0.5981 0.6954 0.3367 0.3587 0.1460 0.1586
0.5914 28.94 1360 0.5982 0.6986 0.3367 0.3619 0.1429 0.1586
0.5848 29.36 1380 0.5977 0.7002 0.3399 0.3603 0.1444 0.1554
0.5772 29.79 1400 0.6024 0.6876 0.3673 0.3203 0.1845 0.1279
0.581 30.21 1420 0.6004 0.6939 0.3611 0.3328 0.1719 0.1342
0.5881 30.64 1440 0.5969 0.7002 0.3462 0.3540 0.1507 0.1491
0.601 31.06 1460 0.5970 0.6994 0.3328 0.3666 0.1381 0.1625
0.5759 31.49 1480 0.5971 0.6986 0.3375 0.3611 0.1436 0.1578
0.5738 31.91 1500 0.5969 0.7002 0.3454 0.3548 0.1499 0.1499
0.5576 32.34 1520 0.5983 0.6931 0.3493 0.3438 0.1609 0.1460
0.58 32.77 1540 0.5976 0.7009 0.3359 0.3650 0.1397 0.1593
0.5798 33.19 1560 0.5980 0.7017 0.3469 0.3548 0.1499 0.1484
0.5802 33.62 1580 0.5988 0.6954 0.3477 0.3477 0.1570 0.1476
0.587 34.04 1600 0.5997 0.6931 0.3532 0.3399 0.1648 0.1421
0.5499 34.47 1620 0.6081 0.6797 0.3830 0.2967 0.2080 0.1122
0.5878 34.89 1640 0.5989 0.6970 0.3438 0.3532 0.1515 0.1515
0.5855 35.32 1660 0.6073 0.6829 0.3815 0.3014 0.2033 0.1138
0.5836 35.74 1680 0.5977 0.7002 0.3359 0.3642 0.1405 0.1593
0.5576 36.17 1700 0.5984 0.6986 0.3399 0.3587 0.1460 0.1554
0.5929 36.6 1720 0.6035 0.6907 0.3697 0.3210 0.1837 0.1256
0.5672 37.02 1740 0.6023 0.6923 0.3705 0.3218 0.1829 0.1248
0.5774 37.45 1760 0.5986 0.6947 0.3509 0.3438 0.1609 0.1444
0.5785 37.87 1780 0.5990 0.6962 0.3195 0.3768 0.1279 0.1758
0.5885 38.3 1800 0.5979 0.6994 0.3375 0.3619 0.1429 0.1578
0.5449 38.72 1820 0.6030 0.6923 0.3713 0.3210 0.1837 0.1240
0.5857 39.15 1840 0.5990 0.7009 0.3328 0.3681 0.1366 0.1625
0.5839 39.57 1860 0.6003 0.6907 0.3548 0.3359 0.1688 0.1405
0.5806 40.0 1880 0.5976 0.6962 0.3414 0.3548 0.1499 0.1538
0.5692 40.43 1900 0.5976 0.7025 0.3399 0.3626 0.1421 0.1554
0.593 40.85 1920 0.5984 0.6947 0.3430 0.3516 0.1531 0.1523
0.5736 41.28 1940 0.5992 0.6931 0.3556 0.3375 0.1672 0.1397
0.5653 41.7 1960 0.5978 0.6970 0.3438 0.3532 0.1515 0.1515
0.5631 42.13 1980 0.6006 0.6947 0.3603 0.3344 0.1703 0.1350
0.5794 42.55 2000 0.5983 0.6994 0.3336 0.3658 0.1389 0.1617
0.5876 42.98 2020 0.5984 0.6939 0.3422 0.3516 0.1531 0.1531
0.5726 43.4 2040 0.6005 0.6962 0.3634 0.3328 0.1719 0.1319
0.566 43.83 2060 0.5982 0.6970 0.3242 0.3728 0.1319 0.1711
0.5603 44.26 2080 0.5994 0.6947 0.3579 0.3367 0.1680 0.1374
0.5697 44.68 2100 0.6037 0.6892 0.3728 0.3163 0.1884 0.1224
0.5624 45.11 2120 0.5981 0.7002 0.3297 0.3705 0.1342 0.1656
0.5648 45.53 2140 0.5979 0.6962 0.3422 0.3540 0.1507 0.1531
0.578 45.96 2160 0.6024 0.6907 0.3713 0.3195 0.1852 0.1240
0.5593 46.38 2180 0.5977 0.7002 0.3391 0.3611 0.1436 0.1562
0.5755 46.81 2200 0.5979 0.6978 0.3336 0.3642 0.1405 0.1617
0.59 47.23 2220 0.6046 0.6868 0.3736 0.3132 0.1915 0.1217
0.5648 47.66 2240 0.5997 0.6931 0.3564 0.3367 0.1680 0.1389
0.5812 48.09 2260 0.5979 0.6954 0.3336 0.3619 0.1429 0.1617
0.5796 48.51 2280 0.5979 0.6962 0.3336 0.3626 0.1421 0.1617
0.5701 48.94 2300 0.5981 0.6947 0.3454 0.3493 0.1554 0.1499
0.5807 49.36 2320 0.5988 0.6931 0.3501 0.3430 0.1617 0.1452
0.5836 49.79 2340 0.5990 0.6923 0.3501 0.3422 0.1625 0.1452
Framework versions
  • Transformers 4.26.1
  • Pytorch 1.13.1
  • Datasets 2.10.1
  • Tokenizers 0.13.2

Runs of henryscheible gpt2_stereoset_classifieronly on huggingface.co

12
Total runs
0
24-hour runs
-1
3-day runs
-2
7-day runs
2
30-day runs

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