This model is a instruct-tuned ko-ref-llama2-7b model, using only 10% of [Kullm, OIG, KoAlpaca] Instruction dataset. len10_k100_mppl_n0.1.json -> 152step

Training hyperparameters

• learning_rate: 5e-5
• train_batch_size: 1
• seed: 42
• distributed_type: multi-GPU (A30 24G) + CPU Offloading(160GB)
• 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: 2

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu117
• Datasets 2.11.0
• deepspeed 0.9.5