---
language:
- dv
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Small Dv - Sanchit Gandhi
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 13
      type: mozilla-foundation/common_voice_13_0
      config: dv
      split: test
      args: dv
    metrics:
    - name: Wer
      type: wer
      value: 11.631950481621868
---

<!-- 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 Dv - Sanchit Gandhi

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the Common Voice 13 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3085
- Wer Ortho: 58.3606
- Wer: 11.6320

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
| 0.1119        | 1.63  | 500  | 0.1645          | 60.8817   | 12.9082 |
| 0.0457        | 3.26  | 1000 | 0.1677          | 59.3286   | 11.7450 |
| 0.0317        | 4.89  | 1500 | 0.1903          | 58.3258   | 11.3798 |
| 0.012         | 6.51  | 2000 | 0.2292          | 58.0403   | 11.7085 |
| 0.007         | 8.14  | 2500 | 0.2595          | 56.9538   | 11.0982 |
| 0.0061        | 9.77  | 3000 | 0.2606          | 56.6404   | 10.8878 |
| 0.0052        | 11.4  | 3500 | 0.2737          | 56.8911   | 11.1799 |
| 0.0033        | 13.03 | 4000 | 0.3085          | 58.3606   | 11.6320 |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3