whisper-base-specAug-non

This model is a fine-tuned version of Youssef1234/whisper-base-specAug on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3537
• Wer: 17.1040

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.208	0.25	239	0.3320	15.8293
0.1384	0.5	478	0.3435	17.0993
0.109	0.75	717	0.3537	17.1040

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2
• Datasets 2.19.0
• Tokenizers 0.15.2