metadata
language:
- gl
license: apache-2.0
base_model: openai/whisper-small
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Small Galician
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_13_0 gl
type: mozilla-foundation/common_voice_13_0
config: gl
split: test
args: gl
metrics:
- name: Wer
type: wer
value: 10.987513796909493
Whisper Small Galician
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_13_0 gl dataset. It achieves the following results on the evaluation set:
- Loss: 0.3555
- Wer: 10.9875
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0214 | 4.04 | 1000 | 0.2737 | 11.5394 |
| 0.0024 | 9.04 | 2000 | 0.3159 | 11.0565 |
| 0.001 | 14.04 | 3000 | 0.3370 | 10.9944 |
| 0.0007 | 19.04 | 4000 | 0.3497 | 11.0151 |
| 0.0006 | 24.04 | 5000 | 0.3555 | 10.9875 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3