Model Overview

This model, llama_2_cot_simplest_code_math_1_full, is a fine-tuned version of the meta-llama/Llama-2-7b-chat-hf base model, developed by CharlesLi. It leverages the Llama 2 architecture with 7 billion parameters.

Training Details

The model was fine-tuned using a specific generator dataset. Key training hyperparameters included:

• Learning Rate: 2e-05
• Batch Size: 4 (train), 4 (eval)
• Epochs: 1
• Optimizer: Adam with betas=(0.9, 0.999) and epsilon=1e-08
• LR Scheduler: Cosine type with a warmup ratio of 0.1

During evaluation, the model achieved a loss of 0.7902.

Framework Versions

The training utilized:

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1

Intended Uses & Limitations

Specific intended uses and limitations are not detailed in the provided information. Users should consider the model's fine-tuning on a 'generator dataset' when assessing its applicability for their specific tasks.