Finnish-NLP/whisper-tiny-finnish
026
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
WhisperTinyFinnishV3
This model is a fine-tuned version of openai/whisper-tiny on the commonvoice11_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
- trainbatchsize: 32
- evalbatchsize: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 1000
- training_steps: 10000
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
