---
language:
- hi
license: apache-2.0
base_model: openai/whisper-small
tags:
- whisper
- asr
- hindi
- speech-recognition
- kaggle
- generated_from_trainer
datasets:
- common_voice
- hindi
- speech
metrics:
- wer
model-index:
- name: Whisper Small Hindi ASR
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice Hindi + Hindi Audio Speech
      type: common_voice
      args: 'language: hi; splits: train/validation'
    metrics:
    - name: Wer
      type: wer
      value: 24.90057063807712
---

<!-- 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 Hindi ASR

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice Hindi + Hindi Audio Speech dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3006
- Wer: 24.9006

## 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: 8
- 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     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.0611        | 3.0581  | 1000 | 0.2043          | 26.4482 |
| 0.0061        | 6.1162  | 2000 | 0.2492          | 25.2637 |
| 0.0006        | 9.1743  | 3000 | 0.2867          | 24.9611 |
| 0.0002        | 12.2324 | 4000 | 0.3006          | 24.9006 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.6.0+cu124
- Datasets 2.18.0
- Tokenizers 0.19.1