---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- PolyAI/minds14
metrics:
- wer
base_model: openai/whisper-tiny
model-index:
- name: whisper-tiny-finetuned-minds14
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: MINDS14
      type: PolyAI/minds14
    metrics:
    - type: wer
      value: 0.34993849938499383
      name: Wer
---

<!-- 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-finetuned-minds14

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the MINDS14 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6435
- Wer Ortho: 0.3797
- Wer: 0.3499

## 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: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 4.995         | 1.0   | 29   | 2.9879          | 0.5425    | 0.4127 |
| 2.1634        | 2.0   | 58   | 0.8084          | 0.4382    | 0.3936 |
| 0.6659        | 3.0   | 87   | 0.6268          | 0.4144    | 0.3678 |
| 0.3865        | 4.0   | 116  | 0.5987          | 0.3880    | 0.3561 |
| 0.2428        | 5.0   | 145  | 0.6005          | 0.3990    | 0.3659 |
| 0.1734        | 6.0   | 174  | 0.6162          | 0.3906    | 0.3573 |
| 0.0965        | 7.0   | 203  | 0.6221          | 0.3893    | 0.3561 |
| 0.0682        | 8.0   | 232  | 0.6320          | 0.3803    | 0.3493 |
| 0.0473        | 9.0   | 261  | 0.6411          | 0.3797    | 0.3493 |
| 0.0476        | 10.0  | 290  | 0.6435          | 0.3797    | 0.3499 |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3