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polyglot-5.8b-koalpaca-v1.1a-rtx3090

This model is a fine-tuned version of EleutherAI/polyglot-ko-3.8b on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 100.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3