TARARARAK/HGU_rulebook-Llama3.2-Bllossom-5B_fine-tuning-QLoRA-8_32_4

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HGUrulebook-Llama3.2-Bllossom-5Bfine-tuning-QLoRA-8324

This model is a fine-tuned version of Bllossom/llama-3.2-Korean-Bllossom-AICA-5B on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 5.6787

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: 0.0002
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 16
• —optimizer: Use adamwbnb8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosinewithrestarts
• —lrschedulerwarmup_ratio: 0.1
• —training_steps: 1256
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.12.0
• —Transformers 4.46.2
• —Pytorch 2.0.1+cu118
• —Datasets 3.0.0
• —Tokenizers 0.20.1