metadata
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 Western Frisian (Netherlands)
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: 21.846637604516545
Whisper Small Western Frisian (Netherlands)
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 fy-NL dataset. It achieves the following results on the evaluation set:
- Loss: 0.5703
- Wer: 21.8466
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0078 | 10.01 | 1000 | 0.5184 | 23.0973 |
| 0.0009 | 21.0 | 2000 | 0.5653 | 22.5434 |
| 0.0007 | 31.01 | 3000 | 0.5703 | 21.8466 |
| 0.0004 | 42.0 | 4000 | 0.5968 | 21.9574 |
| 0.0003 | 52.01 | 5000 | 0.6044 | 22.0360 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2