---
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-CocoCaptions
  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-base-CocoCaptions

This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the Smaller COCO dataset for image captioning.
It achieves the following results on the evaluation set:
- Loss: 0.2839
- Wer Score: 1.0

## Model description

More information needed

## Intended uses & limitations
University researcg project

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.01
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 0.8   | 100  | 0.2959          | 1.0       |
| No log        | 1.6   | 200  | 0.2859          | 1.0       |
| No log        | 2.4   | 300  | 0.2821          | 1.0       |
| No log        | 3.2   | 400  | 0.2863          | 1.0       |
| 0.4331        | 4.0   | 500  | 0.2833          | 1.0       |
| 0.4331        | 4.8   | 600  | 0.2837          | 1.0       |
| 0.4331        | 5.6   | 700  | 0.2827          | 1.0       |
| 0.4331        | 6.4   | 800  | 0.2850          | 1.0       |
| 0.4331        | 7.2   | 900  | 0.2870          | 1.0       |
| 0.2566        | 8.0   | 1000 | 0.2842          | 1.0       |
| 0.2566        | 8.8   | 1100 | 0.2841          | 1.0       |
| 0.2566        | 9.6   | 1200 | 0.2839          | 1.0       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0