---
language:
- hi
license: apache-2.0
base_model: CKSINGH/whisper-small-hi-firefox
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper small Hi - CKS 2411 graminVoice
  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 small Hi - CKS 2411 graminVoice

This model is a fine-tuned version of [CKSINGH/whisper-small-hi-firefox](https://huggingface.co/CKSINGH/whisper-small-hi-firefox) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3893
- Wer: 16.1932
- Cer: 12.5576

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.0115        | 17.24 | 1000 | 0.3435          | 16.9823 | 13.1975 |
| 0.0004        | 34.48 | 2000 | 0.3805          | 16.4186 | 12.5888 |
| 0.0001        | 51.72 | 3000 | 0.3893          | 16.1932 | 12.5576 |


### Framework versions

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