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README.md

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+---
+license: mit
+language:
+- en
+tags:
+- text-to-sql
+- spider
+- hrm-text
+base_model: sapientai/HRM-Text-1B
+---
+
+# HRM-Text-1B-SQL-Spider
+
+Fine-tuned version of [HRM-Text-1B](https://huggingface.co/sapientai/HRM-Text-1B) on the Spider text-to-SQL dataset.
+
+## Model Details
+
+- **Base Model:** sapientai/HRM-Text-1B (1B parameters, hierarchical reasoning model)
+- **Training Data:** Spider dataset (~20k examples)
+- **Training:** 3 epochs, ~6 minutes on L40S GPU
+- **Architecture:** Hierarchical Reasoning Model with H_cycles=2, L_cycles=3
+
+## Performance
+
+| Model | Accuracy |
+|-------|----------|
+| Base | 8.00% |
+| **Fine-tuned** | **70.00%** |
+
+## Usage
+
+
+
+## Training Details
+
+- **Framework:** PyTorch with FlashAttention 3
+- **Loss:** Cross-entropy
+- **Hardware:** AWS L40S GPU
+- **Training Time:** ~6 minutes
+
+## Limitations
+
+- Maximum sequence length: 4096 tokens
+- Requires FlashAttention 3 for inference (Ada Lovelace or newer GPUs)
+- Best performance on Spider-style schema-aware SQL generation
+
+## License
+
+MIT License