Model Overview

This model, llama_2_sky_safe_o1_llama_3_8B_reflect_1000_500_full, is a fine-tuned variant of Meta's Llama-2-7b-chat-hf architecture. It has 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 an evaluation loss of 0.7148.

Training Details

The model was trained using the following key hyperparameters:

• Base Model: meta-llama/Llama-2-7b-chat-hf
• Learning Rate: 2e-05
• Batch Size: 4 (train), 4 (eval)
• Gradient Accumulation Steps: 2
• Optimizer: Adam with betas=(0.9, 0.999) and epsilon=1e-08
• LR Scheduler: Cosine type with 0.1 warmup ratio
• Epochs: 1

Intended Uses

Given its fine-tuning on a generator dataset, this model is likely suitable for:

• Text generation
• Conversational AI (inheriting capabilities from Llama-2-7b-chat-hf)
• Tasks requiring creative or coherent text output