en-vi_mbart50

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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Training Details

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Training Hyperparameters

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  • output_dir="./res_en_vi_mBART50", logging_dir="logs", logging_steps=500, eval_strategy="epoch", eval_steps=1000, save_strategy="epoch", save_steps=1000, per_device_train_batch_size=8, per_device_eval_batch_size=4, num_train_epochs=1, learning_rate=5e-5, save_total_limit=1, load_best_model_at_end=True, predict_with_generate=True,

    gradient_accumulation_steps=8, gradient_checkpointing=True,

    fp16=True, optim="adamw_torch_fused", dataloader_num_workers=4, dataloader_pin_memory=True,

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

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