---
language:
- ta
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- tamilcustomvoice
metrics:
- wer
model-index:
- name: Whisper tamil tiny
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: custom dataset
      type: tamilcustomvoice
    metrics:
    - name: Wer
      type: wer
      value: 114.49070806868973
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper tamil tiny

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the custom dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0677
- Wer Ortho: 115.6203
- Wer: 114.4907

## 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: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:--------:|
| 0.0837        | 31.25 | 500  | 0.0677          | 115.6203  | 114.4907 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0