PracticalWork/Llama-3.2-1B-Instruct-tuned
09
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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
Framework versions
- PEFT 0.16.0
- Transformers 4.54.1
- Pytorch 2.7.1+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4
