Text Generation
Collection
Collection of Fine Tuned Models for Text Generation Use cases • 3 items • Updated
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Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: Riddhiman Sherlekar
- Model type: Text Generation
- Language(s) (NLP): English
- License: [More Information Needed]
- Finetuned from model [optional]: meta-llama/Llama-3.1-8B-Instruct
Uses
This is a fine tuned model for simple text2sql generation use case.
Direct Use
The model is deployed here: https://huggingface.co/spaces/rsher60/text2sql-app
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
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Evaluation
Spider: Cross-domain text-to-SQL benchmark WikiSQL: Simpler, single-table queries BIRD: More complex, practical scenarios KaggleDBQA: Real-world database questions
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: A100
- Hours used: 12 minutes
- Cloud Provider: Google Colab
Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
BibTeX:
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APA:
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Glossary [optional]
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Model Card Authors [optional]
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Model Card Contact
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