whisper-small-km

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Whisper Small Km - Kak Soky

This model is a fine-tuned version of openai/whisper-small on the SLR42 dataset. It achieves the following results on the evaluation set:

• Loss: 0.1471
• Wer: 35.6654

Model description

The model was fine-tuned on both encoder-decoder of transformer-based.

Intended uses & limitations

The training data is limited, thus the performance is also limited to only reading speech and a limited domain (tourism).

Training and evaluation data

The training and evaluation data was split in a 9:1 ratio from Google Text-to-speech corpus.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 2
• 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: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.25.0.dev0
• Pytorch 1.12.1+cu113
• Datasets 2.7.0
• Tokenizers 0.13.2