---
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: GIT_inf_w_caption_blur_ep5_eval
  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_caption_blur_ep5_eval

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: 0.0688
- Rouge1: 11.5483
- Rouge2: 6.9038
- Rougel: 10.6731
- Rougelsum: 10.6966
- Gen Len: 217.74

## 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: 16
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 0.0775        | 1.0   | 1586 | 0.0774          | 11.837  | 5.6006 | 10.9944 | 11.0165   | 218.44  |
| 0.0658        | 2.0   | 3172 | 0.0726          | 9.7028  | 5.0964 | 9.0714  | 9.0844    | 218.44  |
| 0.0541        | 3.0   | 4758 | 0.0693          | 11.4449 | 6.3978 | 10.5899 | 10.6179   | 218.44  |
| 0.0432        | 4.0   | 6344 | 0.0682          | 11.1405 | 6.5221 | 10.3109 | 10.3318   | 218.39  |
| 0.0342        | 5.0   | 7930 | 0.0688          | 11.5483 | 6.9038 | 10.6731 | 10.6966   | 217.74  |


### Framework versions

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