---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-small-fy-NL
  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-fy-NL

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the [CommonVoice 11 `fy-NL` (West-Frisian)](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/viewer/fy-NL/train) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5276
- Wer: 0.2919

The Wer before finetuning was 1.0622.

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
|               | 0     | 0    |                 | 1.0622|
| 0.9177        | 1.0   | 211  | 0.8145          | 0.3450 |
| 0.5807        | 2.0   | 422  | 0.7113          | 0.3640 |
| 0.2884        | 3.0   | 633  | 0.5276          | 0.2919 |


### Framework versions

- Transformers 4.24.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1