---
library_name: transformers
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: Image-Caption-University-model
  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. -->

# Image-Caption-University-model

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: 0.4060
- Wer Score: 2.0586

## 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: 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: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer Score |
|:-------------:|:-------:|:----:|:---------------:|:---------:|
| 7.1651        | 6.6667  | 50   | 4.6332          | 2.9074    |
| 2.6998        | 13.3333 | 100  | 1.0675          | 2.1821    |
| 0.3956        | 20.0    | 150  | 0.3752          | 2.5494    |
| 0.0633        | 26.6667 | 200  | 0.3804          | 1.9321    |
| 0.0196        | 33.3333 | 250  | 0.3981          | 2.4105    |
| 0.0141        | 40.0    | 300  | 0.4050          | 2.0679    |
| 0.0115        | 46.6667 | 350  | 0.4060          | 2.0586    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1