test2_kullm-polyglot-5.8b-v2-koalpaca-v1.1b

This model is a fine-tuned version of nlpai-lab/kullm-polyglot-5.8b-v2 on beomi/KoAlpaca-v1.1a dataset.

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: 5.0

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3