---
library_name: transformers
base_model: HuggingFaceM4/Florence-2-DocVQA
tags:
- generated_from_trainer
model-index:
- name: florence_ft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# florence_ft

This model is a fine-tuned version of [HuggingFaceM4/Florence-2-DocVQA](https://huggingface.co/HuggingFaceM4/Florence-2-DocVQA) on an unknown dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.44.2
- Pytorch 2.0.1+cu117
- Tokenizers 0.19.1