mlfoundations-dev/seed_math_college_math
The mlfoundations-dev/seed_math_college_math model is a fine-tuned version of Meta-Llama-3.1-8B, developed by mlfoundations-dev. This model is specifically trained on the mlfoundations-dev/seed_math_college_math dataset, focusing on mathematical reasoning. It is optimized for tasks related to college-level mathematics, demonstrating a validation loss of 0.9592.
Loading preview...
Model Overview
mlfoundations-dev/seed_math_college_math is a specialized language model fine-tuned from Meta-Llama-3.1-8B. Developed by mlfoundations-dev, its primary focus is on mathematical reasoning, specifically within the domain of college-level mathematics.
Key Capabilities
- Mathematical Problem Solving: Optimized for understanding and generating responses related to college-level math problems.
- Fine-tuned Performance: Achieved a validation loss of 0.9592 during training, indicating its proficiency in the targeted mathematical domain.
- Llama 3.1 Base: Benefits from the robust architecture and general language understanding capabilities of the Meta-Llama-3.1-8B foundation model.
Training Details
The model was trained using the mlfoundations-dev/seed_math_college_math dataset with the following key hyperparameters:
- Learning Rate: 5e-06
- Batch Size: 8 (train and eval), with a total effective train batch size of 512 due to gradient accumulation.
- Epochs: 3.0
- Optimizer: AdamW with betas=(0.9, 0.999) and epsilon=1e-08.
Intended Use Cases
This model is particularly well-suited for applications requiring:
- Assistance with college mathematics problems.
- Educational tools focused on math concepts.
- Research into mathematical reasoning capabilities of LLMs.