---
license: apache-2.0
base_model: openai/whisper-small
tags:
- trnslation
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper-Sinhala_Audio_to_Text
  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. -->

# Whisper-Sinhala_Audio_to_Text

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9038
- Wer: 50.0822

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.0665        | 4.76  | 1000  | 0.5398          | 57.8125 |
| 0.0096        | 9.52  | 2000  | 0.6716          | 56.2089 |
| 0.0037        | 14.29 | 3000  | 0.7457          | 52.7549 |
| 0.0005        | 19.05 | 4000  | 0.8000          | 51.1513 |
| 0.002         | 23.81 | 5000  | 0.8057          | 51.6859 |
| 0.0005        | 28.57 | 6000  | 0.8150          | 50.3289 |
| 0.0005        | 33.33 | 7000  | 0.8445          | 51.0280 |
| 0.0           | 38.1  | 8000  | 0.8773          | 50.1234 |
| 0.0           | 42.86 | 9000  | 0.8944          | 50.1234 |
| 0.0           | 47.62 | 10000 | 0.9038          | 50.0822 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2