whisper-small-dv

This model is a fine-tuned version of openai/whisper-small on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.1738
• eval_wer_ortho: 63.4601
• eval_wer: 13.5049
• eval_runtime: 1380.4477
• eval_samples_per_second: 1.605
• eval_steps_per_second: 0.101
• epoch: 1.63
• step: 500

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• training_steps: 500
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.28.1
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.13.3