metadata
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- base_model:adapter:meta-llama/Llama-3.2-3B-Instruct
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: llama-3.2-3b-securecode
results: []
llama-3.2-3b-securecode
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
Training results
Framework versions
- PEFT 0.18.1
- Transformers 5.1.0
- Pytorch 2.7.1+cu128
- Datasets 2.21.0
- Tokenizers 0.22.2