Model Overview

The CharlesLi/llama_2_llama_2_alpaca_5_full is a 7 billion parameter language model derived from Meta's Llama-2-7b-chat-hf. It has been fine-tuned on a specific "generator dataset" to adapt its capabilities. During training, the model achieved a loss of 0.7509 on its evaluation set, indicating its performance on the fine-tuning task.

Key Training Details

• Base Model: meta-llama/Llama-2-7b-chat-hf
• Learning Rate: 2e-05
• Optimizer: Adam with betas=(0.9, 0.999) and epsilon=1e-08
• Batch Size: A total training batch size of 32 (with 4 devices and 2 gradient accumulation steps)
• Epochs: Trained for 1 epoch
• Scheduler: Cosine learning rate scheduler with a 0.1 warmup ratio

Intended Use Cases

While specific detailed use cases are not provided in the original documentation, given its Llama-2-chat base and fine-tuning on a generator dataset, this model is likely suitable for:

• General text generation
• Conversational AI applications
• Further fine-tuning for specific domain-related generation tasks