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  # **Introduction**
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  This model is test version, sft model.
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- We utilize state-of-the-art instruction fine-tuning methods.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # **Introduction**
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  This model is test version, sft model.
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+ We utilize state-of-the-art instruction fine-tuning methods.
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+ ## Training procedure
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+ ### Training hyperparameters
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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: 2
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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: 8
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 64
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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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+ - num_epochs: 1.0