Model Overview

This model, llama_2_sky_safe_o1_llama_3_8B_default_1000_1000_full, is a fine-tuned iteration of the Meta Llama-2-7b-chat-hf base model. It features 7 billion parameters and was specifically trained on a generator dataset, indicating its primary utility in text generation tasks. During its single epoch of training, it achieved a loss of 0.6556 on the evaluation set.

Training Details

The fine-tuning process utilized a learning rate of 2e-05, a train_batch_size of 4, and gradient_accumulation_steps of 2, resulting in a total_train_batch_size of 32. The optimizer used was Adam with default betas and epsilon, and a cosine learning rate scheduler with a warmup ratio of 0.1 was employed. The training was conducted across 4 GPUs.

Key Characteristics

• Base Model: Meta Llama-2-7b-chat-hf (7B parameters)
• Fine-tuning Objective: Generator dataset, suggesting a focus on text generation.
• Performance Metric: Achieved a loss of 0.6556 on the evaluation set.

Intended Use Cases

While specific intended uses are not detailed in the original model card, its fine-tuning on a generator dataset implies suitability for applications requiring text generation, conversational AI, or other creative writing tasks based on the Llama 2 architecture.