Model Overview

This model, llama_2_llama_2_code_math_2_full, is a 7 billion parameter language model derived from Meta's Llama-2-7b-chat-hf. It has undergone fine-tuning on a specialized generator dataset, aiming to enhance its text generation capabilities.

Key Characteristics

• Base Model: Fine-tuned from meta-llama/Llama-2-7b-chat-hf.
• Parameter Count: 7 billion parameters.
• Evaluation Performance: Achieved a loss of 0.6197 on its evaluation set, indicating its performance post-fine-tuning.
• Training Details: Trained with a learning rate of 2e-05, a batch size of 32 (total), and for 1 epoch. It utilized an Adam optimizer and a cosine learning rate scheduler with a 0.1 warmup ratio.

Intended Use

Given its fine-tuning on a "generator dataset," this model is likely optimized for various text generation tasks. Developers might consider it for applications requiring robust and coherent text output, building upon the conversational strengths of its Llama 2 chat base.