---
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: GIT_inf_w_bbox_caption_ep5
  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. -->

# GIT_inf_w_bbox_caption_ep5

This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0748
- Rouge1: 7.4067
- Rouge2: 3.0184
- Rougel: 6.6214
- Rougelsum: 6.6313
- Gen Len: 215.256

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0794        | 1.0   | 777  | 0.0800          | 6.7935 | 2.5273 | 6.016  | 6.0274    | 215.258 |
| 0.0704        | 2.0   | 1554 | 0.0774          | 6.861  | 2.638  | 6.1681 | 6.1833    | 215.258 |
| 0.0637        | 3.0   | 2331 | 0.0761          | 7.1364 | 2.862  | 6.4308 | 6.4446    | 215.258 |
| 0.0595        | 4.0   | 3108 | 0.0750          | 7.2911 | 2.9116 | 6.5386 | 6.5461    | 215.258 |
| 0.0544        | 5.0   | 3885 | 0.0748          | 7.4067 | 3.0184 | 6.6214 | 6.6313    | 215.256 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2