Finnish-NLP/whisper-tiny-finnish

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