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README.md
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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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# Canadian
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This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on Canadian appellate decisions found in the [Pile of Law](https://huggingface.co/datasets/pile-of-law/pile-of-law) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0135
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## Model description
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More information needed
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## Intended uses & limitations
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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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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# Canadian Appellate Judgement Model
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This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on Canadian appellate decisions (Ontario Court of Appeal and the British Columbia Court of Appeal) found in the [Pile of Law](https://huggingface.co/datasets/pile-of-law/pile-of-law) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0135
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## Intended uses & limitations
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This model is intended to facilitate research into large language models and legal reasoning.
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## Training procedure
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This model was trained using the methodology set out in this [notebook](https://huggingface.co/docs/transformers/training).
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### Training hyperparameters
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The following hyperparameters were used during training:
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