---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- sinhala_asr
metrics:
- wer
model-index:
- name: whisper-tiny-si
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: sinhala_asr
      type: sinhala_asr
      config: default
      split: test
      args: default
    metrics:
    - name: Wer
      type: wer
      value: 169.24044840997482
---

<!-- 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-tiny-si

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the sinhala_asr dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2660
- Wer: 169.2404

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3098        | 1.6   | 1000 | 0.3362          | 183.1274 |
| 0.184         | 3.2   | 2000 | 0.2752          | 147.9181 |
| 0.1626        | 4.8   | 3000 | 0.2663          | 116.8383 |
| 0.1283        | 6.4   | 4000 | 0.2660          | 169.2404 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0