---
license: mit
base_model: microsoft/Florence-2-large
tags:
- image-text-to-text
- generated_from_trainer
datasets:
- doc_lay_net-small
model-index:
- name: Florence-2-large-DocLayNet
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Florence-2-large-DocLayNet

This model is a fine-tuned version of [microsoft/Florence-2-large](https://huggingface.co./microsoft/Florence-2-large) on the doc_lay_net-small dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.4130
- eval_runtime: 10.2586
- eval_samples_per_second: 4.776
- eval_steps_per_second: 2.437
- epoch: 5.0
- step: 3440

## 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: 1e-06
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Framework versions

- Transformers 4.42.4
- Pytorch 2.2.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1