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This model is a instruct-tuned poylglot-ko-12.8b model, using 10% [Kullm, OIG, KoAlpaca] Instruction dataset. len10_k100_mrand_n0.01.json -> 29step

Training hyperparameters

  • learning_rate: 5e-5
  • seed: 42
  • distributed_type: multi-GPU (A100 40G) + CPU offloading (512GB)
  • num_devices: 1
  • train_batch_size: 4
  • gradient_accumulation_steps: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2.0

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.6
  • deepspeed 0.11.1
  • accelerate 0.24.1
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