metadata
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
model-index:
- name: Llama-3.2-1B-Instruct-injection-reg01
results: []
Llama-3.2-1B-Instruct-injection-reg01
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 4.57.1
- Pytorch 2.9.1+cu129
- Datasets 3.6.0
- Tokenizers 0.22.1