---
library_name: transformers
license: mit
base_model: microsoft/Florence-2-base-ft
tags:
- generated_from_trainer
model-index:
- name: Florence-2-FT-JP-TF
  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-2-FT-JP-TF

This model is a fine-tuned version of [microsoft/Florence-2-base-ft](https://huggingface.co/microsoft/Florence-2-base-ft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3826

## 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: 7e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0416        | 1.0   | 1000 | 1.6576          |
| 1.3098        | 2.0   | 2000 | 1.4314          |
| 0.9951        | 3.0   | 3000 | 1.4185          |
| 0.8056        | 4.0   | 4000 | 1.3705          |
| 0.6916        | 5.0   | 5000 | 1.3826          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.3.0
- Datasets 2.20.0
- Tokenizers 0.20.3