---
library_name: transformers
tags: []
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
This is Microsoft's Florence-2 model trained for 9 epochs on the training set from DocVQA 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

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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](https://huggingface.co/microsoft/Florence-2-large-ft)

### Model Sources [optional]

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- **Repository:** [More Information Needed]
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## Uses

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### 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

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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](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **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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#### Hardware

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## Citation [optional]

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**APA:**

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## Glossary [optional]

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## Model Card Authors [optional]

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