cvnberk/whisper-tiny-tr

Whisper Tiny Tr - CK

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:

• eval_loss: 0.5128
• eval_wer: 44.7692
• eval_runtime: 2371.4188
• eval_samples_per_second: 4.277
• eval_steps_per_second: 0.475
• epoch: 2.99
• step: 3000

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: 18
• eval_batch_size: 9
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 36
• 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

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2