dapt-kogpt / README.md
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metadata
license: cc-by-nc-nd-4.0
library_name: peft
tags:
  - generated_from_trainer
base_model: kakaobrain/kogpt
model-index:
  - name: dapt-kogpt
    results: []

dapt-kogpt

This model is a fine-tuned version of kakaobrain/kogpt on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

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: 2.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.7.1
  • Transformers 4.28.0
  • Pytorch 1.13.1
  • Datasets 2.15.0
  • Tokenizers 0.13.3