---
base_model: HuggingFaceM4/Florence-2-DocVQA
tags:
- generated_from_trainer
metrics:
- accuracy
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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/jenashreyas/florence_entity_extraction_ft/runs/yai1uymm)
# 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.
It achieves the following results on the evaluation set:
- Loss: 1.3104
- Accuracy: 0.0

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 7    | 1.3955          | 0.0      |
| No log        | 2.0   | 14   | 1.3104          | 0.0      |


### Framework versions

- Transformers 4.42.0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1