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  ---
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  license: mit
 
 
 
 
 
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  ---
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  # Fine-Tuned Google T5 Model for Text to SQL Translation
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- This repository contains a fine-tuned version of the Google T5 model, specifically trained for the task of translating natural language queries into SQL statements.
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  ## Model Details
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  - [sql-create-context Dataset](https://huggingface.co/datasets/b-mc2/sql-create-context)
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  - [Synthetic-Text-To-SQL Dataset](https://huggingface.co/datasets/gretelai/synthetic-text-to-sql)
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- ## Fine-Tuning Datasets
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-
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- 1. **sql-create-context Dataset**:
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- - Created by modifying data from Seq2SQL and Spider datasets.
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- - [sql-create-context Dataset](https://huggingface.co/datasets/b-mc2/sql-create-context)
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-
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- 2. **Synthetic-Text-To-SQL Dataset**:
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- - A synthetic dataset for training language models to generate SQL queries from natural language prompts.
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- - [Synthetic-Text-To-SQL Dataset](https://huggingface.co/datasets/gretelai/synthetic-text-to-sql)
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-
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  ## Ongoing Work
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  Currently working to implement PICARD (Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models) to improve the results of this model. More details can be found in the original [PICARD paper](https://arxiv.org/abs/2109.05093).
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  - `tokenizer_config.json`: Tokenizer configuration settings.
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  - `model.safetensors`: Trained model weights.
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  - `generation_config.json`: Configuration for text generation.
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- - `config.json`: Model architecture configuration.
 
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  ---
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  license: mit
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+ datasets:
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+ - b-mc2/sql-create-context
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+ - gretelai/synthetic_text_to_sql
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+ language:
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+ - en
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  ---
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  # Fine-Tuned Google T5 Model for Text to SQL Translation
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+ A fine-tuned version of the Google T5 model, trained for the task of translating natural language queries into SQL statements.
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  ## Model Details
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  - [sql-create-context Dataset](https://huggingface.co/datasets/b-mc2/sql-create-context)
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  - [Synthetic-Text-To-SQL Dataset](https://huggingface.co/datasets/gretelai/synthetic-text-to-sql)
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  ## Ongoing Work
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  Currently working to implement PICARD (Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models) to improve the results of this model. More details can be found in the original [PICARD paper](https://arxiv.org/abs/2109.05093).
 
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  - `tokenizer_config.json`: Tokenizer configuration settings.
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  - `model.safetensors`: Trained model weights.
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  - `generation_config.json`: Configuration for text generation.
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+ - `config.json`: Model architecture configuration.