llama3.2-1b
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the mathinstruct 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
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3.0
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.4.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for SriSanth2345/LLAMA-3.2-1B-MathInstrcu-LORA
Base model
meta-llama/Llama-3.2-1B