Model Overview

This model, llama_2_rlhf_safe_llama_3_70B_reflect_500_full, is a 7 billion parameter language model derived from Meta's Llama-2-7b-chat-hf. It has been fine-tuned specifically on a generator dataset, indicating an optimization for text generation tasks.

Key Training Details

During its single epoch of training, the model utilized the following hyperparameters:

• Learning Rate: 2e-05
• Batch Size: 4 (train), 4 (eval)
• Total Batch Size: 32 (train), 16 (eval) with gradient accumulation
• Optimizer: Adam with betas=(0.9, 0.999) and epsilon=1e-08
• Scheduler: Cosine with 0.1 warmup ratio

Performance

The model achieved a loss of 0.7526 on its evaluation set, demonstrating its learning efficacy during the fine-tuning process.

Framework Versions

The training environment included:

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1

Potential Use Cases

Given its fine-tuning on a generator dataset, this model is likely suitable for various text generation applications, including but not limited to:

• Content creation
• Dialogue generation
• Creative writing assistance