sridharps2/llama-3p1-8b-Instruct-systemverilog

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llama-3p1-8b-Instruct-systemverilog

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-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: 2
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —training_steps: 500
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.12.0
• —Transformers 4.44.2
• —Pytorch 2.4.1+cu121
• —Datasets 3.0.0
• —Tokenizers 0.19.1