TableCheck/gemma-3-27b-it-ft-query-extraction

Model Card for TableCheck's Fine-Tune of google/gemma-3-27b-it

This fine-tuned model is designed for use with function calls to translate content between languages and extract tags from content. It has been trained on public data.

Model Details

Model Description

• Developed by: TableCheck AI
• Funded by: TableCheck
• Shared by: TableCheck
• Model type: LoRa Adaptor
• Language(s) (NLP): English / Japanese / Gemma 3 27B Supported Languages
• License: Copyright TableCheck
• Finetuned from model: google/gemma-3-27b-it

Model Sources [optional]

Trained from public data of venues.

How to Get Started with the Model

Use the code below to get started with the model. TBD

Training Details

Training Data

TBD

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Training Procedure

TBD

Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

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: [More Information Needed]
• Hours used: [More Information Needed]
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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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Model Card Contact

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Framework versions

• PEFT 0.15.0