---
language:
- hi
base_model: nurzhanit/dlc_audio
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Hi - Sanchit Gandhi
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 11.0
      type: mozilla-foundation/common_voice_11_0
      args: 'config: hi, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 18.461538461538463
---

<!-- 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 Hi - Sanchit Gandhi

This model is a fine-tuned version of [nurzhanit/dlc_audio](https://huggingface.co/nurzhanit/dlc_audio) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0015
- Wer: 18.4615

## 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: 20
- training_steps: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0022        | 50.0   | 50   | 0.0017          | 18.4615 |
| 0.0016        | 100.0  | 100  | 0.0016          | 18.4615 |
| 0.0016        | 150.0  | 150  | 0.0016          | 18.4615 |
| 0.0016        | 200.0  | 200  | 0.0016          | 18.4615 |
| 0.0016        | 250.0  | 250  | 0.0016          | 18.4615 |
| 0.0016        | 300.0  | 300  | 0.0016          | 18.4615 |
| 0.0016        | 350.0  | 350  | 0.0016          | 18.4615 |
| 0.0015        | 400.0  | 400  | 0.0015          | 18.4615 |
| 0.0015        | 450.0  | 450  | 0.0015          | 18.4615 |
| 0.0015        | 500.0  | 500  | 0.0015          | 18.4615 |
| 0.0015        | 550.0  | 550  | 0.0015          | 18.4615 |
| 0.0015        | 600.0  | 600  | 0.0015          | 18.4615 |
| 0.0015        | 650.0  | 650  | 0.0015          | 18.4615 |
| 0.0015        | 700.0  | 700  | 0.0015          | 18.4615 |
| 0.0015        | 750.0  | 750  | 0.0015          | 18.4615 |
| 0.0015        | 800.0  | 800  | 0.0015          | 18.4615 |
| 0.0015        | 850.0  | 850  | 0.0015          | 18.4615 |
| 0.0015        | 900.0  | 900  | 0.0015          | 18.4615 |
| 0.0015        | 950.0  | 950  | 0.0015          | 18.4615 |
| 0.0015        | 1000.0 | 1000 | 0.0015          | 18.4615 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0