whisper_4_with_init_sun__0010

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

• Train Loss: 4.5075
• Train Accuracy: 0.0122
• Train Wermet: 0.7405
• Validation Loss: 3.7472
• Validation Accuracy: 0.0119
• Validation Wermet: 0.8103
• Epoch: 9

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Train Wermet	Validation Loss	Validation Accuracy	Validation Wermet	Epoch
5.3333	0.0111	1.3132	3.9675	0.0114	0.9339	0
4.7131	0.0116	0.8607	3.9360	0.0114	0.9503	1
4.6717	0.0117	0.8449	3.9196	0.0113	0.9768	2
4.6474	0.0117	0.8338	3.9039	0.0114	0.9557	3
4.6273	0.0118	0.8243	3.8721	0.0115	0.9414	4
4.6101	0.0118	0.8167	3.8629	0.0116	0.9156	5
4.5912	0.0119	0.7985	3.8361	0.0116	0.8988	6
4.5645	0.0120	0.7753	3.8298	0.0116	0.9045	7
4.5386	0.0121	0.7558	3.7904	0.0118	0.8426	8
4.5075	0.0122	0.7405	3.7472	0.0119	0.8103	9

Framework versions

• Transformers 4.34.0.dev0
• TensorFlow 2.13.0
• Tokenizers 0.13.3