MBCros/llama3-2-1b-chat-hf-lora-finetune

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llama3-2-1b-chat-hf-lora-finetune

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct 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: 0.0002
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.PAGEDADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 6

Training results

Framework versions

• —PEFT 0.17.0
• —Transformers 4.54.1
• —Pytorch 2.6.0+cu124
• —Datasets 4.0.0
• —Tokenizers 0.21.2