---
library_name: transformers
license: mit
base_model: microsoft/Florence-2-large-ft
tags:
- image-text-to-text
- generated_from_trainer
model-index:
- name: created_model
  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. -->

# created_model

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: 1.7657

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5758        | 1.0   | 22   | 1.7627          |
| 1.1636        | 2.0   | 44   | 2.3089          |
| 0.9265        | 3.0   | 66   | 1.7357          |
| 0.7011        | 4.0   | 88   | 1.6376          |
| 0.6003        | 5.0   | 110  | 1.5972          |
| 0.4465        | 6.0   | 132  | 1.9380          |
| 0.2891        | 7.0   | 154  | 2.3485          |
| 0.2896        | 8.0   | 176  | 1.7245          |
| 0.2192        | 9.0   | 198  | 1.7667          |
| 0.1263        | 10.0  | 220  | 1.7657          |


### Framework versions

- Transformers 4.46.0
- Pytorch 2.3.1+cu121
- Tokenizers 0.20.2