---
language:
- hi
license: apache-2.0
base_model: CKSINGH/whisper-small-hi-iiib
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: CKSINGH whisper-small-hi-fiefox
  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. -->

# CKSINGH whisper-small-hi-fiefox

This model is a fine-tuned version of [CKSINGH/whisper-small-hi-iiib](https://huggingface.co/CKSINGH/whisper-small-hi-iiib) on the Common Voice 13.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2473
- Wer: 11.4253
- Cer: 7.5700

## 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: 500
- training_steps: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
| 0.0382        | 3.57  | 1000 | 0.2021          | 12.8043 | 8.1173 |
| 0.0027        | 7.14  | 2000 | 0.2321          | 11.6614 | 7.6820 |
| 0.0001        | 10.71 | 3000 | 0.2473          | 11.4253 | 7.5700 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0