pbevan11
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llama-3-8b-ocr-correction

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4-bit precision

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pbevan11 commited on Jul 26

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 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sncds/ocr-ft/runs/m4qbupk5)
 # llama-3-8b-ocr-correction
-This model is a qlora fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the [pbevan11/synthetic-ocr-correction-gpt4o](https://huggingface.co/pbevan11/synthetic-ocr-correction-gpt4o) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1742

 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sncds/ocr-ft/runs/m4qbupk5)
 # llama-3-8b-ocr-correction
+This model is a qlora fine-tuned adapter for [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the [pbevan11/synthetic-ocr-correction-gpt4o](https://huggingface.co/pbevan11/synthetic-ocr-correction-gpt4o) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1742