---
license: apache-2.0
language:
- pa
tags:
- generated_from_trainer
- whisper-event
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Punjabi
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mozilla-foundation/common_voice_11_0 pa-IN
      type: mozilla-foundation/common_voice_11_0
      config: pa-IN
      split: test
      args: pa-IN
    metrics:
    - name: Wer
      type: wer
      value: 39.04688700999232
---

<!-- 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 Small Punjabi

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5991
- Wer: 39.0469

## 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: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 400
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4346        | 5.01  | 50   | 0.3902          | 49.6797 |
| 0.0728        | 11.0  | 100  | 0.3811          | 40.7379 |
| 0.009         | 16.02 | 150  | 0.4924          | 39.5081 |
| 0.0028        | 22.0  | 200  | 0.5309          | 38.7394 |
| 0.0008        | 27.02 | 250  | 0.5687          | 38.6369 |
| 0.0006        | 33.01 | 300  | 0.5859          | 39.0213 |
| 0.0005        | 38.02 | 350  | 0.5954          | 39.0981 |
| 0.0005        | 44.01 | 400  | 0.5991          | 39.0469 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2