boradorish/baseline-qwen3-4b-grounded_table

Overview

This model, boradorish/baseline-qwen3-4b-grounded_table, is a specialized 4 billion parameter language model derived from the Qwen3-4B architecture. It has been fine-tuned using the sunny_reasoning dataset, indicating a focus on tasks that involve reasoning over structured, grounded table data. The model demonstrates a low validation loss of 0.0085, suggesting effective learning during its fine-tuning process.

Key Capabilities

• Grounded Table Reasoning: Optimized for understanding and processing information within a tabular context, likely for tasks such as question answering over tables or data extraction.
• Qwen3-4B Base: Leverages the foundational capabilities of the Qwen3-4B model, providing a strong base for language understanding and generation.
• Efficient Training: Achieved its specialized performance with a learning rate of 4e-05 and a total batch size of 64 over 3 epochs, utilizing a cosine learning rate scheduler with a warmup ratio.

Intended Use Cases

This model is particularly suited for applications where accurate interpretation and generation of responses based on structured data, such as databases or spreadsheets, are critical. Its fine-tuning on a reasoning dataset suggests its utility in analytical tasks involving tabular information.