dilarayavuz/llama3-lora-sst2-benign

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llama3-lora-sst2-benign

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the sst2_benign 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: 0.0002
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWBNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.03
• —num_epochs: 3.0

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 5.6.0
• —Pytorch 2.11.0+cu128
• —Datasets 4.0.0
• —Tokenizers 0.22.2