darynka-xo/whisper-small-aifc

Whisper Small En - AIFC

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

• Loss: 0.0397
• Wer: 1.3076

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: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH 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: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0043	1.1186	1000	0.0453	1.6911
0.0028	2.2371	2000	0.0396	1.4198
0.0004	3.3557	3000	0.0394	1.3464
0.0003	4.4743	4000	0.0397	1.3076

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu124
• Datasets 3.4.1
• Tokenizers 0.21.1