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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: gpt2_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: 0.49337748344370863
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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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# gpt2_crows_pairs_classifieronly
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on
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It achieves the following results on the evaluation set:
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- Loss: 0.7106
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- Accuracy: 0.4934
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- Tp: 0.2351
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- Tn: 0.2583
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- Fp: 0.2219
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- Fn: 0.2848
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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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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|
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| 0.751 | 1.05 | 20 | 0.7385 | 0.5066 | 0.1523 | 0.3543 | 0.1258 | 0.3675 |
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| 0.7312 | 2.11 | 40 | 0.7236 | 0.5132 | 0.3113 | 0.2020 | 0.2781 | 0.2086 |
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| 0.7295 | 3.16 | 60 | 0.7212 | 0.5099 | 0.3079 | 0.2020 | 0.2781 | 0.2119 |
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| 0.7198 | 4.21 | 80 | 0.7198 | 0.5099 | 0.2781 | 0.2318 | 0.2483 | 0.2417 |
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| 0.7183 | 5.26 | 100 | 0.7186 | 0.5099 | 0.2682 | 0.2417 | 0.2384 | 0.2517 |
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| 0.7231 | 6.32 | 120 | 0.7166 | 0.5033 | 0.2848 | 0.2185 | 0.2616 | 0.2351 |
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| 0.6938 | 7.37 | 140 | 0.7158 | 0.5132 | 0.2748 | 0.2384 | 0.2417 | 0.2450 |
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| 0.712 | 8.42 | 160 | 0.7151 | 0.5033 | 0.2616 | 0.2417 | 0.2384 | 0.2583 |
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| 0.7103 | 9.47 | 180 | 0.7138 | 0.5033 | 0.2616 | 0.2417 | 0.2384 | 0.2583 |
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| 0.7011 | 10.53 | 200 | 0.7131 | 0.5066 | 0.2781 | 0.2285 | 0.2517 | 0.2417 |
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| 0.7097 | 11.58 | 220 | 0.7124 | 0.5 | 0.2715 | 0.2285 | 0.2517 | 0.2483 |
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| 0.6994 | 12.63 | 240 | 0.7126 | 0.5033 | 0.2517 | 0.2517 | 0.2285 | 0.2682 |
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| 0.7073 | 13.68 | 260 | 0.7122 | 0.5 | 0.2517 | 0.2483 | 0.2318 | 0.2682 |
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| 0.7052 | 14.74 | 280 | 0.7111 | 0.4934 | 0.2483 | 0.2450 | 0.2351 | 0.2715 |
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| 0.6835 | 15.79 | 300 | 0.7107 | 0.5066 | 0.2682 | 0.2384 | 0.2417 | 0.2517 |
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| 0.7137 | 16.84 | 320 | 0.7114 | 0.4967 | 0.2450 | 0.2517 | 0.2285 | 0.2748 |
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| 0.7119 | 17.89 | 340 | 0.7122 | 0.5 | 0.2351 | 0.2649 | 0.2152 | 0.2848 |
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| 0.6956 | 18.95 | 360 | 0.7104 | 0.5033 | 0.2616 | 0.2417 | 0.2384 | 0.2583 |
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| 0.7063 | 20.0 | 380 | 0.7106 | 0.5099 | 0.2517 | 0.2583 | 0.2219 | 0.2682 |
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| 0.6982 | 21.05 | 400 | 0.7104 | 0.5132 | 0.2550 | 0.2583 | 0.2219 | 0.2649 |
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| 0.702 | 22.11 | 420 | 0.7104 | 0.5132 | 0.2550 | 0.2583 | 0.2219 | 0.2649 |
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| 0.7044 | 23.16 | 440 | 0.7105 | 0.5132 | 0.2483 | 0.2649 | 0.2152 | 0.2715 |
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| 0.6918 | 24.21 | 460 | 0.7106 | 0.5099 | 0.2450 | 0.2649 | 0.2152 | 0.2748 |
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| 0.6781 | 25.26 | 480 | 0.7107 | 0.5033 | 0.2351 | 0.2682 | 0.2119 | 0.2848 |
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| 0.6912 | 26.32 | 500 | 0.7101 | 0.5099 | 0.2483 | 0.2616 | 0.2185 | 0.2715 |
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| 0.6908 | 27.37 | 520 | 0.7099 | 0.5033 | 0.2483 | 0.2550 | 0.2252 | 0.2715 |
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| 0.6924 | 28.42 | 540 | 0.7103 | 0.5066 | 0.2450 | 0.2616 | 0.2185 | 0.2748 |
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| 0.6815 | 29.47 | 560 | 0.7098 | 0.5 | 0.2517 | 0.2483 | 0.2318 | 0.2682 |
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| 0.697 | 30.53 | 580 | 0.7099 | 0.5 | 0.2517 | 0.2483 | 0.2318 | 0.2682 |
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| 0.6827 | 31.58 | 600 | 0.7105 | 0.5 | 0.2384 | 0.2616 | 0.2185 | 0.2815 |
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| 0.6851 | 32.63 | 620 | 0.7103 | 0.4934 | 0.2384 | 0.2550 | 0.2252 | 0.2815 |
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| 0.6838 | 33.68 | 640 | 0.7103 | 0.5 | 0.2483 | 0.2517 | 0.2285 | 0.2715 |
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| 0.6785 | 34.74 | 660 | 0.7107 | 0.5 | 0.2384 | 0.2616 | 0.2185 | 0.2815 |
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| 0.6896 | 35.79 | 680 | 0.7110 | 0.4967 | 0.2351 | 0.2616 | 0.2185 | 0.2848 |
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| 0.6859 | 36.84 | 700 | 0.7108 | 0.4934 | 0.2351 | 0.2583 | 0.2219 | 0.2848 |
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| 0.678 | 37.89 | 720 | 0.7106 | 0.4901 | 0.2351 | 0.2550 | 0.2252 | 0.2848 |
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| 0.6878 | 38.95 | 740 | 0.7109 | 0.4934 | 0.2351 | 0.2583 | 0.2219 | 0.2848 |
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| 0.6865 | 40.0 | 760 | 0.7107 | 0.4934 | 0.2351 | 0.2583 | 0.2219 | 0.2848 |
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| 0.666 | 41.05 | 780 | 0.7104 | 0.4901 | 0.2351 | 0.2550 | 0.2252 | 0.2848 |
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| 0.6994 | 42.11 | 800 | 0.7104 | 0.4901 | 0.2351 | 0.2550 | 0.2252 | 0.2848 |
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| 0.6813 | 43.16 | 820 | 0.7105 | 0.4901 | 0.2351 | 0.2550 | 0.2252 | 0.2848 |
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| 0.6862 | 44.21 | 840 | 0.7105 | 0.4934 | 0.2351 | 0.2583 | 0.2219 | 0.2848 |
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| 0.6892 | 45.26 | 860 | 0.7106 | 0.4934 | 0.2351 | 0.2583 | 0.2219 | 0.2848 |
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| 0.6835 | 46.32 | 880 | 0.7105 | 0.4934 | 0.2351 | 0.2583 | 0.2219 | 0.2848 |
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| 0.6859 | 47.37 | 900 | 0.7105 | 0.4934 | 0.2351 | 0.2583 | 0.2219 | 0.2848 |
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| 0.6775 | 48.42 | 920 | 0.7106 | 0.4934 | 0.2351 | 0.2583 | 0.2219 | 0.2848 |
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| 0.6731 | 49.47 | 940 | 0.7106 | 0.4934 | 0.2351 | 0.2583 | 0.2219 | 0.2848 |
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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: gpt2_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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# gpt2_crows_pairs_classifieronly
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) 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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