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---
language:
- fy
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Frisian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_11_0 fy-NL
type: mozilla-foundation/common_voice_11_0
config: fy-NL
split: test
args: fy-NL
metrics:
- name: Wer
type: wer
value: 21.03
---
<!-- 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 - RuudVelo
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
It achieves the following results on the test set:
- Loss: 0.1443
- Wer: 21.03
## 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: 64
- eval_batch_size: 8
- training_steps: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Step | Validation Loss | Wer |
|:-------------:|:-----:|:---------------:|:------:|
| 0.0053 | 1000 | 0.4201 | 21.64 |
| 0.0008 | 2000 | 0.4607 | 21.03 |
| 0.0004 | 3000 | 0.4853 | 21.11 |
| 0.0003 | 4000 | 0.5015 | 21.14 |
| 0.0002 | 5000 | 0.5084 | 21.20 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2 |