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@@ -17,7 +17,7 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- Transformer-based NMT model to translate from Spanish to Simplified Chinese.
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  ## Intended uses & limitations
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@@ -45,6 +45,8 @@ The following hyperparameters were used during training:
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  - lr_scheduler_warmup_steps: 2000
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  - num_epochs: 10
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  - mixed_precision_training: Native AMP
 
 
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  ### Training results
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  ## Model description
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+ Transformer-based NMT model to translate from Spanish to Simplified Chinese, fine-tuned for legal domain.
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  ## Intended uses & limitations
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  - lr_scheduler_warmup_steps: 2000
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  - num_epochs: 10
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  - mixed_precision_training: Native AMP
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+ - weight_decay: 0.01
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+ - early_stopping_patience: 8
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  ### Training results
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