Whisper Tiny Nordic
This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_11_0 sv-SE mozilla-foundation/common_voice_11_0 da mozilla-foundation/common_voice_11_0 nn-NO babelbox/babelbox_voice nst NbAiLab/NST no-distant NbAiLab/NPSC 16K_mp3_nynorsk google/fleurs sv_se google/fleurs da_dk google/fleurs nb_no dataset. It achieves the following results on the evaluation set:
- Loss: 5.1226
- Wer: 87.6596
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: 1
- eval_batch_size: 1
- 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: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2