Model Overview

This model, llama_2_rlhf_safe_llama_3_8B_default_1000_full, is a fine-tuned variant of Meta's Llama-2-7b-chat-hf.

Key Characteristics

• Base Model: Fine-tuned from meta-llama/Llama-2-7b-chat-hf.
• Parameter Count: 7 billion parameters.
• Fine-tuning Focus: Optimized on a specific "generator dataset" to enhance its generative capabilities.
• Performance: Achieved a loss of 0.9608 on its evaluation set during training.

Training Details

The model was trained with the following hyperparameters:

• Learning Rate: 2e-05
• Batch Size: train_batch_size of 4, eval_batch_size of 4, leading to a total_train_batch_size of 32 and total_eval_batch_size of 16.
• Optimizer: Adam with default betas and epsilon.
• Scheduler: Cosine learning rate scheduler with a warmup ratio of 0.1.
• Epochs: Trained for 1 epoch.

Intended Use Cases

Given its fine-tuning on a generator dataset, this model is suitable for tasks requiring text generation, conversational AI, and other applications where a robust generative language model is beneficial. Users should be aware that specific intended uses and limitations are not extensively detailed in the provided documentation.