---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- PolyAI/minds14
metrics:
- wer
model-index:
- name: whisper-tiny-dv
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: PolyAI/minds14
      type: PolyAI/minds14
      config: en-US
      split: train
      args: en-US
    metrics:
    - name: Wer
      type: wer
      value: 57.438016528925615
---

<!-- 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-tiny-dv

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4917
- Wer Ortho: 58.5441
- Wer: 57.4380

## 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: 5000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 0.0013        | 17.86  | 500  | 1.0739          | 56.0148   | 55.3719 |
| 0.0003        | 35.71  | 1000 | 1.1575          | 54.3492   | 53.6009 |
| 0.0002        | 53.57  | 1500 | 1.2226          | 55.3979   | 54.7226 |
| 0.0001        | 71.43  | 2000 | 1.2711          | 56.6934   | 55.4900 |
| 0.0001        | 89.29  | 2500 | 1.3089          | 56.1999   | 55.1948 |
| 0.0           | 107.14 | 3000 | 1.3487          | 55.4596   | 54.4864 |
| 0.0           | 125.0  | 3500 | 1.3865          | 56.4466   | 55.5490 |
| 0.0           | 142.86 | 4000 | 1.4259          | 58.9759   | 57.6741 |
| 0.0           | 160.71 | 4500 | 1.4563          | 58.2973   | 57.0838 |
| 0.0           | 178.57 | 5000 | 1.4917          | 58.5441   | 57.4380 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3