---
library_name: transformers
license: mit
base_model: microsoft/Florence-2-large-ft
tags:
- image-text-to-text
- generated_from_trainer
model-index:
- name: florence_final
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# florence_final

This model is a fine-tuned version of [microsoft/Florence-2-large-ft](https://huggingface.co/microsoft/Florence-2-large-ft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4388

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7274        | 1.0   | 153  | 2.4825          |
| 2.0884        | 2.0   | 306  | 2.1203          |
| 1.8651        | 3.0   | 459  | 1.9587          |
| 1.7054        | 4.0   | 612  | 1.8127          |
| 1.5836        | 5.0   | 765  | 1.7042          |
| 1.4901        | 6.0   | 918  | 1.6121          |
| 1.4098        | 7.0   | 1071 | 1.5336          |
| 1.3635        | 8.0   | 1224 | 1.4825          |
| 1.3231        | 9.0   | 1377 | 1.4545          |
| 1.296         | 10.0  | 1530 | 1.4388          |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0