---
license: mit
tags:
- generated_from_trainer
model-index:
- name: sinhala-book-captioning-repo
  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. -->

# sinhala-book-captioning-repo

This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0053
- Wer Score: 1.3218

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 5.2519        | 0.3   | 50   | 4.5638          | 1.0       |
| 0.6662        | 0.6   | 100  | 0.3785          | 1.0       |
| 0.0214        | 0.9   | 150  | 0.0154          | 0.8161    |
| 0.0123        | 1.2   | 200  | 0.0104          | 0.7356    |
| 0.0077        | 1.5   | 250  | 0.0095          | 0.7126    |
| 0.0091        | 1.8   | 300  | 0.0080          | 0.6897    |
| 0.009         | 2.1   | 350  | 0.0076          | 0.6897    |
| 0.008         | 2.4   | 400  | 0.0076          | 0.7356    |
| 0.0066        | 2.69  | 450  | 0.0071          | 0.6667    |
| 0.0065        | 2.99  | 500  | 0.0068          | 0.6437    |
| 0.0068        | 3.29  | 550  | 0.0063          | 0.6207    |
| 0.0066        | 3.59  | 600  | 0.0063          | 5.1494    |
| 0.0063        | 3.89  | 650  | 0.0061          | 0.6322    |
| 0.0063        | 4.19  | 700  | 0.0055          | 0.5287    |
| 0.007         | 4.49  | 750  | 0.0053          | 0.5172    |
| 0.0054        | 4.79  | 800  | 0.0053          | 1.3218    |


### Framework versions

- Transformers 4.30.2
- Pytorch 1.13.0
- Datasets 2.11.0
- Tokenizers 0.13.0