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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
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