llama-guard-finetuned-3ep-800

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