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  ## Training procedure
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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- - train_batch_size: 1
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- - eval_batch_size: 8
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- - seed: 42
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- - distributed_type: multi-GPU
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- - num_devices: 6
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- - gradient_accumulation_steps: 8
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- - total_train_batch_size: 48
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- - total_eval_batch_size: 48
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: cosine
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- - lr_scheduler_warmup_ratio: 0.03
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- - num_epochs: 3
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-
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  ### Training results
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-
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  ### Framework versions
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  ## Training procedure
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  ### Training results
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+ :)
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  ### Framework versions
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