Masaki Eguchi
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update model card README.md
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README.md
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the elsevier-oa-cc-by dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the elsevier-oa-cc-by dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1158
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 2.1903 | 0.25 | 1025 | 2.0998 |
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| 2.1752 | 0.5 | 2050 | 2.1186 |
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| 2.1864 | 0.75 | 3075 | 2.1073 |
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| 2.1874 | 1.0 | 4100 | 2.1177 |
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| 2.1669 | 1.25 | 5125 | 2.1091 |
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| 2.1859 | 1.5 | 6150 | 2.1212 |
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| 2.1783 | 1.75 | 7175 | 2.1096 |
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| 2.1734 | 2.0 | 8200 | 2.0998 |
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| 2.1712 | 2.25 | 9225 | 2.0972 |
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| 2.1812 | 2.5 | 10250 | 2.1051 |
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| 2.1811 | 2.75 | 11275 | 2.1150 |
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| 2.1826 | 3.0 | 12300 | 2.1097 |
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| 2.172 | 3.25 | 13325 | 2.1115 |
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| 2.1745 | 3.5 | 14350 | 2.1098 |
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| 2.1758 | 3.75 | 15375 | 2.1101 |
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| 2.1834 | 4.0 | 16400 | 2.1232 |
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| 2.1836 | 4.25 | 17425 | 2.1052 |
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| 2.1791 | 4.5 | 18450 | 2.1186 |
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| 2.172 | 4.75 | 19475 | 2.1039 |
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| 2.1797 | 5.0 | 20500 | 2.1015 |
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### Framework versions
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