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PracticalWork/Llama-3.2-1B-Instruct-tuned

sourceHugging Facellama3.2updated 1y agoView on Hugging Face
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Model Card

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Llama-3.2-1B-Instruct-tuned

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5964
  • Perplexity: 4.9351

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.003
  • trainbatchsize: 12
  • evalbatchsize: 12
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 3

Training results

Training LossEpochStepValidation LossPerplexity
No log004.569996.5354
No log0.60113331.72535.6141
1.80031.20226661.66445.2825
1.80031.80329991.63425.1252
1.62992.404313321.60945.0000
1.6299316641.59644.9351

Framework versions

  • PEFT 0.16.0
  • Transformers 4.54.1
  • Pytorch 2.7.1+cu128
  • Datasets 4.0.0
  • Tokenizers 0.21.4