This model is a instruct-tuned poylglot-ko-5.8b model, using full [Kullm, OIG, KoAlpaca] Instruction dataset. koquality_raw.json -> 410step

Training hyperparameters

• learning_rate: 5e-5
• train_batch_size: 2
• seed: 42
• distributed_type: multi-GPU (A30 24G) + CPU Offloading
• num_devices: 2
• gradient_accumulation_steps: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1.0

Framework versions

• Transformers 4.30.2

• Pytorch 2.0.1+cu117

• Datasets 2.11.0

• deepspeed 0.9.5