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update model card README.md
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README.md
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- crows_pairs
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metrics:
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- accuracy
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model-index:
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- name: xlnet-base-cased_crows_pairs_classifieronly
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: crows_pairs
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type: crows_pairs
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config: crows_pairs
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split: test
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args: crows_pairs
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.5397350993377483
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xlnet-base-cased_crows_pairs_classifieronly
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on
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It achieves the following results on the evaluation set:
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- Loss: 0.6905
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- Accuracy: 0.5397
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- Tp: 0.2550
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- Tn: 0.2848
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- Fp: 0.2417
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- Fn: 0.2185
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Tp | Tn | Fp | Fn |
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| 0.723 | 1.05 | 20 | 0.7244 | 0.4735 | 0.4338 | 0.0397 | 0.4868 | 0.0397 |
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| 0.7134 | 2.11 | 40 | 0.7069 | 0.4702 | 0.3113 | 0.1589 | 0.3675 | 0.1623 |
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| 0.717 | 3.16 | 60 | 0.7003 | 0.5099 | 0.2152 | 0.2947 | 0.2318 | 0.2583 |
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| 0.7032 | 4.21 | 80 | 0.7117 | 0.4868 | 0.4272 | 0.0596 | 0.4669 | 0.0464 |
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| 0.705 | 5.26 | 100 | 0.6979 | 0.4834 | 0.1987 | 0.2848 | 0.2417 | 0.2748 |
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| 0.7005 | 6.32 | 120 | 0.7112 | 0.4735 | 0.4073 | 0.0662 | 0.4603 | 0.0662 |
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| 0.7163 | 7.37 | 140 | 0.6978 | 0.5430 | 0.0695 | 0.4735 | 0.0530 | 0.4040 |
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| 0.7038 | 8.42 | 160 | 0.6960 | 0.5099 | 0.1722 | 0.3377 | 0.1887 | 0.3013 |
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| 0.6948 | 9.47 | 180 | 0.6993 | 0.4834 | 0.2947 | 0.1887 | 0.3377 | 0.1788 |
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| 0.6947 | 10.53 | 200 | 0.6959 | 0.5397 | 0.2219 | 0.3179 | 0.2086 | 0.2517 |
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| 0.6991 | 11.58 | 220 | 0.6938 | 0.4967 | 0.1291 | 0.3675 | 0.1589 | 0.3444 |
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| 0.7027 | 12.63 | 240 | 0.6959 | 0.5199 | 0.0662 | 0.4536 | 0.0728 | 0.4073 |
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| 0.6945 | 13.68 | 260 | 0.6963 | 0.5166 | 0.3278 | 0.1887 | 0.3377 | 0.1457 |
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| 0.7047 | 14.74 | 280 | 0.6902 | 0.5199 | 0.1424 | 0.3775 | 0.1490 | 0.3311 |
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| 0.6971 | 15.79 | 300 | 0.6929 | 0.5596 | 0.2682 | 0.2914 | 0.2351 | 0.2053 |
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| 0.6979 | 16.84 | 320 | 0.6919 | 0.5364 | 0.2119 | 0.3245 | 0.2020 | 0.2616 |
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| 0.6941 | 17.89 | 340 | 0.6915 | 0.5232 | 0.2020 | 0.3212 | 0.2053 | 0.2715 |
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| 0.693 | 18.95 | 360 | 0.6906 | 0.5397 | 0.1987 | 0.3411 | 0.1854 | 0.2748 |
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| 0.6916 | 20.0 | 380 | 0.6912 | 0.5497 | 0.1954 | 0.3543 | 0.1722 | 0.2781 |
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| 0.7005 | 21.05 | 400 | 0.6903 | 0.5397 | 0.2152 | 0.3245 | 0.2020 | 0.2583 |
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| 0.6933 | 22.11 | 420 | 0.6904 | 0.5298 | 0.2219 | 0.3079 | 0.2185 | 0.2517 |
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| 0.6968 | 23.16 | 440 | 0.6893 | 0.5464 | 0.1821 | 0.3642 | 0.1623 | 0.2914 |
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| 0.686 | 24.21 | 460 | 0.6941 | 0.5199 | 0.3377 | 0.1821 | 0.3444 | 0.1358 |
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| 0.6905 | 25.26 | 480 | 0.6918 | 0.5497 | 0.2848 | 0.2649 | 0.2616 | 0.1887 |
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| 0.6954 | 26.32 | 500 | 0.6964 | 0.5199 | 0.3642 | 0.1556 | 0.3709 | 0.1093 |
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| 0.6939 | 27.37 | 520 | 0.6897 | 0.5464 | 0.2583 | 0.2881 | 0.2384 | 0.2152 |
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| 0.6885 | 28.42 | 540 | 0.6890 | 0.5430 | 0.1656 | 0.3775 | 0.1490 | 0.3079 |
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| 0.6849 | 29.47 | 560 | 0.6922 | 0.5662 | 0.2914 | 0.2748 | 0.2517 | 0.1821 |
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| 0.6869 | 30.53 | 580 | 0.6954 | 0.5331 | 0.3212 | 0.2119 | 0.3146 | 0.1523 |
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| 0.6855 | 31.58 | 600 | 0.6910 | 0.5563 | 0.2185 | 0.3377 | 0.1887 | 0.2550 |
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| 0.6876 | 32.63 | 620 | 0.6906 | 0.5861 | 0.2616 | 0.3245 | 0.2020 | 0.2119 |
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| 0.6908 | 33.68 | 640 | 0.6954 | 0.5298 | 0.3444 | 0.1854 | 0.3411 | 0.1291 |
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| 0.6757 | 34.74 | 660 | 0.6906 | 0.5662 | 0.2483 | 0.3179 | 0.2086 | 0.2252 |
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| 0.6756 | 35.79 | 680 | 0.6905 | 0.5695 | 0.2550 | 0.3146 | 0.2119 | 0.2185 |
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| 0.7021 | 36.84 | 700 | 0.6948 | 0.5298 | 0.3245 | 0.2053 | 0.3212 | 0.1490 |
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| 0.6926 | 37.89 | 720 | 0.6909 | 0.5563 | 0.2682 | 0.2881 | 0.2384 | 0.2053 |
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| 0.6913 | 38.95 | 740 | 0.6901 | 0.5563 | 0.2483 | 0.3079 | 0.2185 | 0.2252 |
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| 0.6963 | 40.0 | 760 | 0.6921 | 0.5265 | 0.2848 | 0.2417 | 0.2848 | 0.1887 |
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| 0.6922 | 41.05 | 780 | 0.6917 | 0.5331 | 0.2815 | 0.2517 | 0.2748 | 0.1921 |
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| 0.6916 | 42.11 | 800 | 0.6912 | 0.5298 | 0.2616 | 0.2682 | 0.2583 | 0.2119 |
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| 0.685 | 43.16 | 820 | 0.6900 | 0.5497 | 0.2318 | 0.3179 | 0.2086 | 0.2417 |
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| 0.6839 | 44.21 | 840 | 0.6907 | 0.5364 | 0.2616 | 0.2748 | 0.2517 | 0.2119 |
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| 0.6887 | 45.26 | 860 | 0.6913 | 0.5199 | 0.2682 | 0.2517 | 0.2748 | 0.2053 |
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| 0.6845 | 46.32 | 880 | 0.6907 | 0.5331 | 0.2550 | 0.2781 | 0.2483 | 0.2185 |
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| 0.684 | 47.37 | 900 | 0.6901 | 0.5464 | 0.2384 | 0.3079 | 0.2185 | 0.2351 |
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| 0.6727 | 48.42 | 920 | 0.6903 | 0.5464 | 0.2517 | 0.2947 | 0.2318 | 0.2219 |
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| 0.6801 | 49.47 | 940 | 0.6905 | 0.5397 | 0.2550 | 0.2848 | 0.2417 | 0.2185 |
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### Framework versions
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- Transformers 4.26.1
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: xlnet-base-cased_crows_pairs_classifieronly
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xlnet-base-cased_crows_pairs_classifieronly
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 50
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### Framework versions
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- Transformers 4.26.1
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