metadata
language:
- lv
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Latvian - Robust
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: mozilla-foundation/common_voice_11_0 lv
type: mozilla-foundation/common_voice_11_0
config: lv
split: test
args: lv
metrics:
- type: wer
value: 33.111954459203034
name: Wer
- type: wer
value: 26.86
name: WER
Whisper Small Latvian - Robust
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 lv dataset. It achieves the following results on the evaluation set:
- Loss: 0.5621
- Wer: 33.1120
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: 5e-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 |
|---|---|---|---|---|
| 0.0219 | 16.67 | 1000 | 0.6129 | 41.1575 |
| 0.0029 | 33.33 | 2000 | 0.5975 | 36.1480 |
| 0.0003 | 50.0 | 3000 | 0.5626 | 33.6812 |
| 0.0004 | 66.67 | 4000 | 0.5608 | 33.2827 |
| 0.0001 | 83.33 | 5000 | 0.5715 | 33.8046 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2