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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- stereoset
metrics:
- accuracy
model-index:
- name: multiberts-seed_2-step_2000k_stereoset_classifieronly
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: stereoset
type: stereoset
config: intersentence
split: validation
args: intersentence
metrics:
- name: Accuracy
type: accuracy
value: 0.5690737833594977
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# multiberts-seed_2-step_2000k_stereoset_classifieronly
This model is a fine-tuned version of [google/multiberts-seed_2-step_2000k](https://huggingface.co/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
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