explorall/whisper-small-sv

Whisper Small Hi - Swedish

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3252
• Wer: 97.1848

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1496	1.29	1000	0.2950	81.4552
0.0532	2.59	2000	0.2897	63.8219
0.0216	3.88	3000	0.3060	90.6321
0.0044	5.18	4000	0.3252	97.1848

Framework versions

• Transformers 4.33.3
• Pytorch 2.1.1+cu118
• Datasets 2.14.7
• Tokenizers 0.11.0