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: validation
args: gl
metrics:
- name: Wer
type: wer
value: 10.246256009407533
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: 0.2772
- Wer: 10.2463
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 |
|---|---|---|---|---|
| 0.2733 | 5.81 | 1000 | 0.2584 | 12.1814 |
| 0.1012 | 11.63 | 2000 | 0.2476 | 10.6250 |
| 0.0514 | 17.44 | 3000 | 0.2628 | 10.3500 |
| 0.0299 | 23.26 | 4000 | 0.2739 | 10.3189 |
| 0.0235 | 29.07 | 5000 | 0.2772 | 10.2463 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1