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@@ -52,7 +52,7 @@ The optimizer used is AdaFactor with inverse square root learning rate schedule
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  ### Fine-tuning
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- This model was then fine-tuned on a single TPU Pod V3-8 for 80,000 steps in total, using sequence length 512 (batch size 256), using only the dataset only containing api recommendation generation data.
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  ## Evaluation results
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  ### Fine-tuning
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+ This model was then fine-tuned on a single TPU Pod V3-8 for 180,000 steps in total, using sequence length 512 (batch size 256), using only the dataset only containing api recommendation generation data.
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  ## Evaluation results