Finnish Whisper speech recognition
Collection
Whisper models finetuned for Finnish in various formats
•
7 items
•
Updated
WhisperTinyFinnishV3
This model is a fine-tuned version of openai/whisper-tiny on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5363
- Wer: 45.1376
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: 3e-06
- train_batch_size: 32
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.9236 | 0.1 | 1000 | 0.7783 | 58.5187 |
| 0.727 | 0.2 | 2000 | 0.6638 | 53.1097 |
| 0.6867 | 0.3 | 3000 | 0.6113 | 50.2639 |
| 0.8348 | 0.4 | 4000 | 0.5882 | 48.2661 |
| 0.5165 | 0.5 | 5000 | 0.5679 | 47.1259 |
| 0.5509 | 0.6 | 6000 | 0.5540 | 46.6359 |
| 0.639 | 0.7 | 7000 | 0.5466 | 46.5228 |
| 0.4715 | 0.8 | 8000 | 0.5400 | 45.9763 |
| 0.6306 | 0.9 | 9000 | 0.5363 | 45.1376 |
| 0.4598 | 1.0 | 10000 | 0.5352 | 45.4768 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Downloads last month
- 813
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Finnish-NLP/whisper-tiny-finnish
Base model
openai/whisper-tiny