library_name: peft | |
license: llama3.2 | |
base_model: meta-llama/Llama-3.2-3B | |
tags: | |
- generated_from_trainer | |
datasets: | |
- customized | |
model-index: | |
- name: Llama-3.2-3B_MATH_qlora | |
results: [] | |
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# Llama-3.2-3B_MATH_qlora | |
This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the customized 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: 0.0001 | |
- train_batch_size: 1 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- distributed_type: multi-GPU | |
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
- lr_scheduler_type: linear | |
- num_epochs: 0.01 | |
- mixed_precision_training: Native AMP | |
### Training results | |
### Framework versions | |
- PEFT 0.13.2 | |
- Transformers 4.46.3 | |
- Pytorch 2.5.1+cu121 | |
- Datasets 3.2.0 | |
- Tokenizers 0.20.3 |