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Update @ 2023.06.01

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KoAlpaca-Polyglot-12.8B (v1.1b)

This model is a fine-tuned version of EleutherAI/polyglot-ko-12.8b on a KoAlpaca Dataset v1.1b

Detail Codes are available at KoAlpaca Github Repository

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU (A100 80G)
  • num_devices: 4
  • gradient_accumulation_steps: 64
  • total_train_batch_size: 256
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2.0

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0+cu117
  • Datasets 2.11.0
  • Tokenizers 0.13.3
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