nl-sql-gemma2b

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Model Details

Model Description

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• Developed by: Srujana Madiraju
• Funded by [optional]: [More Information Needed]
• Shared by [optional]: [More Information Needed]
• Model type: Fine tuned gemma2b model on NL-SQL dataset
• Language(s) (NLP): python
• License: [More Information Needed]
• Finetuned from model [optional]: Google Gemma 2b

Model Sources [optional]

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Uses

Use this fine tuned model for converting natural language to sql query in any software application according to one's use case.

Direct Use

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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

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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.

from transformers import AutoTokenizer, AutoModelForCausalLM from peft import PeftModel import torch

Set your base model and adapter repo

base_model_id = "google/gemma-2b" adapter_repo = "srujanamadiraju/nl-sql-gemma2b"

Load tokenizer (from adapter repo)

tokenizer = AutoTokenizer.from_pretrained(adapter_repo)

Load base model (same as used during fine-tuning)

base_model = AutoModelForCausalLM.from_pretrained( base_model_id, torch_dtype=torch.float16, device_map="auto" )

Load LoRA adapter on top of base model

model = PeftModel.from_pretrained(base_model, adapter_repo) model.eval()

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Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

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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

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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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]

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APA:

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Glossary [optional]

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More Information [optional]

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Model Card Authors [optional]

Srujana Madiraju

Model Card Contact

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Framework versions

• PEFT 0.14.0