This model is a test version that was learned by integrating several Instruction datasets. The final version can be found at DILAB-HYU/KoQuality-Polyglot-5.8b.

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: 2.0

Framework versions

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