Florence-2-DocVQA / README.md
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library_name: transformers
pipeline_tag: image-text-to-text
base_model:
  - microsoft/Florence-2-base-ft

Model Card for Model ID

This is Microsoft's Florence-2 model trained for 1 day with Docmatix (5% of the data) with a learning rate of 1e-6. The code for this fine-tuning can be found here: https://github.com/andimarafioti/florence2-finetuning And here's a blog explaining how to fine tune Florence: https://huggingface.co/blog/finetune-florence2

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. It has been automatically generated.

  • Developed by: Andi Marafioti
  • Funded by [optional]: Hugging Face 🤗
  • Language(s) (NLP): English
  • License: MIT
  • Finetuned from model: Florence-2-large-ft

Model Sources [optional]

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Uses

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

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

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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).

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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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