evrcc7881/utility-pole-florenceLoRA

Model Card for Model ID

A fine tuning of florence 2 using the robocelesc dataset from roboflow for identifying components on a utility pole.

Model Details

Model Description

• License: MIT
• Finetuned from model [optional]: microsoft/Florence-2-base-ft

Model Sources [optional]

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How 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

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Results

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Summary

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Environmental Impact

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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Hardware

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Software

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Citation [optional]

@misc{ robocelesc-zrn9m_dataset, title = { robocelesc Dataset }, type = { Open Source Dataset }, author = { testerobocelesc }, howpublished = { \url{ https://universe.roboflow.com/testerobocelesc/robocelesc-zrn9m } }, url = { https://universe.roboflow.com/testerobocelesc/robocelesc-zrn9m }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2024 }, month = { jun }, note = { visited on 2024-08-08 }, }

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Framework versions

• PEFT 0.12.0