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@@ -46,7 +46,7 @@ The supervised training tasks datasets can be downloaded on [Link](https://www.d
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  ### Transfer-learning Pretraining
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- The model was trained on a single TPU Pod V3-8 for 240,000 steps in total, using sequence length 512 (batch size 4096).
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  It has a total of approximately 220M parameters and was trained using the encoder-decoder architecture.
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  The optimizer used is AdaFactor with inverse square root learning rate schedule for pre-training.
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  ### Transfer-learning Pretraining
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+ The model was trained on a single TPU Pod V3-8 for 500,000 steps in total, using sequence length 512 (batch size 4096).
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  It has a total of approximately 220M parameters and was trained using the encoder-decoder architecture.
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  The optimizer used is AdaFactor with inverse square root learning rate schedule for pre-training.
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