janstusio/whisper-small-pl

Whisper Small Pl - Jan Stusio

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

• Loss: 0.4903
• Wer: 69.0476

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: 1
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3228	6.32	25	0.4705	70.8333
0.0071	12.64	50	0.4903	69.0476

Framework versions

• Transformers 4.57.1
• Pytorch 2.9.0
• Datasets 4.3.0
• Tokenizers 0.22.1