---
library_name: transformers
license: mit
base_model: microsoft/Florence-2-large
tags:
- generated_from_trainer
model-index:
- name: FlorenceDropout2
  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. -->

# FlorenceDropout2

This model is a fine-tuned version of [microsoft/Florence-2-large](https://huggingface.co/microsoft/Florence-2-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.2939
- eval_runtime: 41.153
- eval_samples_per_second: 2.503
- eval_steps_per_second: 2.503
- epoch: 49.0
- step: 45031

## 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: 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: 50

### Framework versions

- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0