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multiberts-seed_1_winobias_classifieronly

asun17904 / multiberts-seed_1_winobias_classifieronly

Run on huggingface.co
huggingface.co
Total runs: 1
24-hour runs: -1
7-day runs: -4
30-day runs: -5
Model's Last Updated: March 25 2023
text-classification

Introduction of multiberts-seed_1_winobias_classifieronly

Model Details of multiberts-seed_1_winobias_classifieronly

multiberts-seed_1_winobias_classifieronly

This model is a fine-tuned version of google/multiberts-seed_1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6936
  • Accuracy: 0.5114
  • Tp: 0.2734
  • Tn: 0.2380
  • Fp: 0.2620
  • Fn: 0.2266
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
0.7029 0.8 20 0.6948 0.5019 0.1951 0.3068 0.1932 0.3049
0.6937 1.6 40 0.6952 0.4931 0.3390 0.1540 0.3460 0.1610
0.6974 2.4 60 0.6954 0.4937 0.3567 0.1370 0.3630 0.1433
0.7041 3.2 80 0.6946 0.5051 0.2191 0.2860 0.2140 0.2809
0.6975 4.0 100 0.6947 0.5013 0.1799 0.3213 0.1787 0.3201
0.6996 4.8 120 0.6948 0.5025 0.1521 0.3504 0.1496 0.3479
0.7008 5.6 140 0.6944 0.4975 0.2841 0.2134 0.2866 0.2159
0.7004 6.4 160 0.6943 0.4968 0.1850 0.3119 0.1881 0.3150
0.6913 7.2 180 0.6944 0.4924 0.1553 0.3371 0.1629 0.3447
0.703 8.0 200 0.6941 0.5025 0.2784 0.2241 0.2759 0.2216
0.6975 8.8 220 0.6941 0.4987 0.2197 0.2790 0.2210 0.2803
0.6964 9.6 240 0.6942 0.4949 0.2058 0.2891 0.2109 0.2942
0.692 10.4 260 0.6943 0.4949 0.3037 0.1913 0.3087 0.1963
0.6939 11.2 280 0.6943 0.4987 0.1900 0.3087 0.1913 0.3100
0.7043 12.0 300 0.6942 0.5044 0.2551 0.2494 0.2506 0.2449
0.7036 12.8 320 0.6942 0.4912 0.2102 0.2809 0.2191 0.2898
0.697 13.6 340 0.6943 0.4975 0.1604 0.3371 0.1629 0.3396
0.7028 14.4 360 0.6950 0.5032 0.3939 0.1092 0.3908 0.1061
0.7012 15.2 380 0.6940 0.4962 0.2045 0.2917 0.2083 0.2955
0.6976 16.0 400 0.6940 0.4968 0.2102 0.2866 0.2134 0.2898
0.695 16.8 420 0.6944 0.5095 0.1452 0.3643 0.1357 0.3548
0.6985 17.6 440 0.6939 0.5013 0.2210 0.2803 0.2197 0.2790
0.6946 18.4 460 0.6939 0.5032 0.2765 0.2266 0.2734 0.2235
0.6975 19.2 480 0.6940 0.4962 0.1749 0.3213 0.1787 0.3251
0.6958 20.0 500 0.6939 0.4905 0.2058 0.2847 0.2153 0.2942
0.6947 20.8 520 0.6938 0.5057 0.2771 0.2285 0.2715 0.2229
0.7044 21.6 540 0.6940 0.5019 0.2986 0.2033 0.2967 0.2014
0.698 22.4 560 0.6941 0.4918 0.3201 0.1717 0.3283 0.1799
0.7016 23.2 580 0.6939 0.5076 0.2771 0.2304 0.2696 0.2229
0.7029 24.0 600 0.6939 0.5063 0.2765 0.2298 0.2702 0.2235
0.6975 24.8 620 0.6938 0.5025 0.2904 0.2121 0.2879 0.2096
0.6966 25.6 640 0.6940 0.5032 0.1660 0.3371 0.1629 0.3340
0.6974 26.4 660 0.6938 0.4994 0.1926 0.3068 0.1932 0.3074
0.6998 27.2 680 0.6938 0.5013 0.2229 0.2784 0.2216 0.2771
0.6899 28.0 700 0.6937 0.5082 0.25 0.2582 0.2418 0.25
0.6954 28.8 720 0.6937 0.4968 0.2109 0.2860 0.2140 0.2891
0.6926 29.6 740 0.6941 0.4899 0.3479 0.1420 0.3580 0.1521
0.6936 30.4 760 0.6938 0.5006 0.2822 0.2184 0.2816 0.2178
0.6911 31.2 780 0.6937 0.5057 0.2519 0.2538 0.2462 0.2481
0.69 32.0 800 0.6938 0.5038 0.2904 0.2134 0.2866 0.2096
0.6953 32.8 820 0.6937 0.5051 0.2765 0.2285 0.2715 0.2235
0.6971 33.6 840 0.6937 0.4956 0.2020 0.2936 0.2064 0.2980
0.6983 34.4 860 0.6937 0.5025 0.2727 0.2298 0.2702 0.2273
0.698 35.2 880 0.6938 0.4987 0.3024 0.1963 0.3037 0.1976
0.6949 36.0 900 0.6938 0.5032 0.3081 0.1951 0.3049 0.1919
0.6969 36.8 920 0.6937 0.5082 0.2885 0.2197 0.2803 0.2115
0.6978 37.6 940 0.6937 0.5088 0.3087 0.2001 0.2999 0.1913
0.6965 38.4 960 0.6936 0.5088 0.2588 0.25 0.25 0.2412
0.6929 39.2 980 0.6936 0.5101 0.2620 0.2481 0.2519 0.2380
0.6967 40.0 1000 0.6936 0.5101 0.2702 0.2399 0.2601 0.2298
0.6971 40.8 1020 0.6936 0.5069 0.2431 0.2639 0.2361 0.2569
0.6976 41.6 1040 0.6936 0.5063 0.2418 0.2645 0.2355 0.2582
0.6989 42.4 1060 0.6936 0.5038 0.2304 0.2734 0.2266 0.2696
0.6995 43.2 1080 0.6936 0.5019 0.2254 0.2765 0.2235 0.2746
0.6981 44.0 1100 0.6936 0.5069 0.2386 0.2683 0.2317 0.2614
0.6914 44.8 1120 0.6936 0.5095 0.25 0.2595 0.2405 0.25
0.6936 45.6 1140 0.6936 0.5095 0.25 0.2595 0.2405 0.25
0.6951 46.4 1160 0.6936 0.5107 0.2734 0.2374 0.2626 0.2266
0.6964 47.2 1180 0.6936 0.5114 0.2854 0.2260 0.2740 0.2146
0.7004 48.0 1200 0.6936 0.5114 0.2822 0.2292 0.2708 0.2178
0.696 48.8 1220 0.6936 0.5088 0.2759 0.2330 0.2670 0.2241
0.6966 49.6 1240 0.6936 0.5114 0.2734 0.2380 0.2620 0.2266
Framework versions
  • Transformers 4.26.1
  • Pytorch 1.13.1
  • Datasets 2.10.1
  • Tokenizers 0.13.2

Runs of asun17904 multiberts-seed_1_winobias_classifieronly on huggingface.co

1
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24-hour runs
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3-day runs
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7-day runs
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