---
base_model: openai/whisper-small
datasets:
- mozilla-foundation/common_voice_11_0
language:
- hi
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Whisper Small Diny
  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 Diny

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3108

## 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: 0.0001
- train_batch_size: 8
- 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: 50
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5747        | 1.0   | 4    | 3.8772          |
| 3.5154        | 2.0   | 8    | 3.7508          |
| 3.3537        | 3.0   | 12   | 3.5159          |
| 3.1336        | 4.0   | 16   | 3.2003          |
| 2.9481        | 5.0   | 20   | 2.8626          |
| 2.5179        | 6.0   | 24   | 2.5561          |
| 2.3247        | 7.0   | 28   | 2.2656          |
| 2.1071        | 8.0   | 32   | 1.9826          |
| 1.7406        | 9.0   | 36   | 1.6799          |
| 1.5765        | 10.0  | 40   | 1.3108          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1