MichaelKim/ko-gemma-2-9b-it_pdf_80_r16_v1

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ko-gemma-2-9b-itpdf80r16v1

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
• —trainbatchsize: 10
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

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