whisper-small-sl-mozilla

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Whisper Small - Slovenian

Note: you'll probably want to use the newer version, trained on Artur1.0 dataset

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: 0.4640
• Wer: 28.2530

Model description

This is a speech-to-text model specialized for Slovenian language.

Intended uses & limitations

More information needed

Training and evaluation data

The dataset used was Common Voice 11.0 from Mozilla. Train and validation sets were merged and tested against test dataset.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 16
• eval_batch_size: 8
• 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: 4000
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2