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test1_kullm-polyglot-5.8b-v2-koalpaca-v1.1b

This model is a fine-tuned version of nlpai-lab/kullm-polyglot-5.8b-v2 on beomi/KoAlpaca-v1.1a dataset.

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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Dataset used to train sue3489/test1_kullm-polyglot-5.8b-v2-koalpaca-v1.1b