ASethi04/template-adapter-meta-llama-Llama-3.1-8B-code-10

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template-adapter-meta-llama-Llama-3.1-8B-code-10

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the None 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: 0.0004
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 2
• —optimizer: Use OptimizerNames.PAGEDADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 10
• —num_epochs: 5

Training results

Framework versions

• —PEFT 0.15.1
• —Transformers 4.51.2
• —Pytorch 2.6.0+cu124
• —Datasets 3.5.0
• —Tokenizers 0.21.1