---
license: apache-2.0
base_model: vasista22/whisper-hindi-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-hindi-small
  results: []
---

<!-- 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-hindi-small

This model is a fine-tuned version of [vasista22/whisper-hindi-small](https://huggingface.co/vasista22/whisper-hindi-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2106
- Wer: 16.3763

## 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: 1.75e-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: 250
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0001        | 50.0  | 250  | 0.1925          | 16.5157 |
| 0.0           | 100.0 | 500  | 0.2046          | 16.2369 |
| 0.0           | 150.0 | 750  | 0.2092          | 16.3763 |
| 0.0           | 200.0 | 1000 | 0.2106          | 16.3763 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1