fc-binary-model
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README.md
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This model is a fine-tuned version of [line-corporation/line-distilbert-base-japanese](https://huggingface.co/line-corporation/line-distilbert-base-japanese) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.8730
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 1.0 | 306 | 0.3749 | 0.8594 |
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### Framework versions
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This model is a fine-tuned version of [line-corporation/line-distilbert-base-japanese](https://huggingface.co/line-corporation/line-distilbert-base-japanese) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3017
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- Accuracy: 0.8730
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 306 | 0.3749 | 0.8594 |
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| 0.4009 | 2.0 | 612 | 0.3578 | 0.8594 |
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| 0.4009 | 3.0 | 918 | 0.3448 | 0.8613 |
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| 0.3811 | 4.0 | 1224 | 0.3416 | 0.8613 |
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| 0.3694 | 5.0 | 1530 | 0.3344 | 0.8613 |
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| 0.3694 | 6.0 | 1836 | 0.3284 | 0.8652 |
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| 0.3623 | 7.0 | 2142 | 0.3274 | 0.8633 |
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| 0.3623 | 8.0 | 2448 | 0.3236 | 0.8652 |
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| 0.3566 | 9.0 | 2754 | 0.3216 | 0.8633 |
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| 0.349 | 10.0 | 3060 | 0.3174 | 0.8691 |
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| 0.349 | 11.0 | 3366 | 0.3145 | 0.875 |
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| 0.3512 | 12.0 | 3672 | 0.3135 | 0.8711 |
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| 0.3512 | 13.0 | 3978 | 0.3102 | 0.8711 |
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| 0.3455 | 14.0 | 4284 | 0.3119 | 0.8770 |
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| 0.3427 | 15.0 | 4590 | 0.3100 | 0.875 |
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| 0.3427 | 16.0 | 4896 | 0.3074 | 0.8711 |
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| 0.3366 | 17.0 | 5202 | 0.3055 | 0.875 |
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| 0.3385 | 18.0 | 5508 | 0.3068 | 0.875 |
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| 0.3385 | 19.0 | 5814 | 0.3065 | 0.875 |
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| 0.3342 | 20.0 | 6120 | 0.3047 | 0.875 |
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| 0.3342 | 21.0 | 6426 | 0.3046 | 0.8770 |
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| 0.3313 | 22.0 | 6732 | 0.3049 | 0.875 |
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| 0.3349 | 23.0 | 7038 | 0.3035 | 0.875 |
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| 0.3349 | 24.0 | 7344 | 0.3029 | 0.8730 |
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| 0.3309 | 25.0 | 7650 | 0.3031 | 0.8730 |
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| 0.3309 | 26.0 | 7956 | 0.3026 | 0.8711 |
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| 0.326 | 27.0 | 8262 | 0.3026 | 0.875 |
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| 0.3271 | 28.0 | 8568 | 0.3019 | 0.8730 |
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| 0.3271 | 29.0 | 8874 | 0.3018 | 0.8730 |
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| 0.3308 | 30.0 | 9180 | 0.3017 | 0.8730 |
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### Framework versions
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