Llama-3.2-1B-distillation-alpaca-5.0-AlpacaRefuseSmooth-rs1
This model is a fine-tuned version of meta-llama/Llama-3.2-1B 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2000
Training results
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu129
- Datasets 3.6.0
- Tokenizers 0.22.1
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Model tree for Grogros/Llama-3.2-1B-distillation-alpaca-5.0-AlpacaRefuseSmooth-rs1
Base model
meta-llama/Llama-3.2-1B