---
language:
- dv
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Small Dv - Juan Carlos Pineros HF Class
  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: 11.119031887888166
---

<!-- 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 - Juan Carlos Pineros HF Class

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: 0.2937
- Wer Ortho: 56.7101
- Wer: 11.1190

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
| 0.1203        | 1.63  | 500  | 0.1687          | 62.7551   | 13.3724 |
| 0.0464        | 3.26  | 1000 | 0.1757          | 58.8899   | 12.0997 |
| 0.0327        | 4.89  | 1500 | 0.1931          | 59.0919   | 11.8510 |
| 0.0118        | 6.51  | 2000 | 0.2349          | 58.2492   | 11.4042 |
| 0.007         | 8.14  | 2500 | 0.2606          | 57.7408   | 11.5259 |
| 0.0056        | 9.77  | 3000 | 0.2759          | 57.4413   | 11.0564 |
| 0.0038        | 11.4  | 3500 | 0.2785          | 57.2185   | 10.9956 |
| 0.0039        | 13.03 | 4000 | 0.2937          | 56.7101   | 11.1190 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3