robingeibel
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README.md
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# reformer-finetuned-big_patent-16384
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This model is a fine-tuned version of [robingeibel/reformer-finetuned-big_patent-16384](https://huggingface.co/robingeibel/reformer-finetuned-big_patent-16384) on the big_patent dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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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: 8
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- eval_batch_size: 8
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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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# reformer-finetuned-big_patent-16384
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This model is a fine-tuned version of [robingeibel/reformer-finetuned-big_patent-wikipedia-arxiv-16384](https://huggingface.co/robingeibel/reformer-finetuned-big_patent-wikipedia-arxiv-16384) on the big_patent dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.7382
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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: 2.5e-06
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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| 6.7398 | 1.0 | 53286 | 6.7243 |
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| 6.7449 | 2.0 | 106572 | 6.7388 |
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| 6.7534 | 3.0 | 159858 | 6.7382 |
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### Framework versions
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