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@@ -80,8 +80,8 @@ output_text = tokenizer.decode(output[0], skip_special_tokens=True)
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  ## Hardware and Software
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- * **Hardware**: We utilized an A100x8 for training our model
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- * **Training Factors**: We fine-tuned this model using a combination of the [DeepSpeed library](https://github.com/microsoft/DeepSpeed) and the [HuggingFace trainer](https://huggingface.co/docs/transformers/main_classes/trainer)
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  ## Evaluation Results
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  ## Hardware and Software
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+ * **Hardware**: We utilized an A100x8 * 4 for training our model
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+ * **Training Factors**: We fine-tuned this model using a combination of the [DeepSpeed library](https://github.com/microsoft/DeepSpeed) and the [HuggingFace Trainer](https://huggingface.co/docs/transformers/main_classes/trainer) / [HuggingFace Accelerate](https://huggingface.co/docs/accelerate/index)
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  ## Evaluation Results
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