metadata

license: llama2
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: meta-llama/LlamaGuard-7b
model-index:
  - name: llama-guard-finetuned-1ep-500
    results: []

llama-guard-finetuned-1ep-500

This model is a fine-tuned version of meta-llama/LlamaGuard-7b on an unknown 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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 0.6

Training results

Framework versions

PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.3.0+cu118
Datasets 2.18.0
Tokenizers 0.15.2