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metadata
language:
  - ko
license: mit
tags:
  - kullm-13.b
  - polyglot-ko
  - gpt-neox
pipeline_tag: text-generation
base_model: EleutherAI/polyglot-ko-12.8b

KULLM-Polyglot-12.8B-v2

This model is a fine-tuned version of EleutherAI/polyglot-ko-12.8b on a KULLM v2

Detail Codes are available at KULLM Github Repository

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 64
  • seed: 42
  • distributed_type: multi-GPU (A100 80G)
  • num_devices: 4
  • gradient_accumulation_steps: 16
  • 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: cosine
  • num_epochs: 10.0

Framework versions

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