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ko-gemma-2-9b-it_pdf_80_r16_v1

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metadata
base_model: rtzr/ko-gemma-2-9b-it
library_name: peft
license: gemma
tags:
  - generated_from_trainer
model-index:
  - name: ko-gemma-2-9b-it_pdf_80_r16_v1
    results: []

Visualize in Weights & Biases

ko-gemma-2-9b-it_pdf_80_r16_v1

This model is a fine-tuned version of rtzr/ko-gemma-2-9b-it 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: 0.0001
  • train_batch_size: 10
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Tokenizers 0.19.1