wh_4_sun_syl_w_0_lr_8en5_new_0005

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: 3.7874
• Train Accuracy: 0.0142
• Train Wermet: 0.7029
• Train Wermet Syl: 0.6765
• Validation Loss: 2.3850
• Validation Accuracy: 0.0149
• Validation Wermet: 0.6752
• Validation Wermet Syl: 0.6324
• Epoch: 4

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': 8e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Train Wermet	Train Wermet Syl	Validation Loss	Validation Accuracy	Validation Wermet	Validation Wermet Syl	Epoch
4.9473	0.0111	1.1332	1.0824	3.9300	0.0113	0.9772	0.9710	0
4.6712	0.0117	0.8506	0.8117	3.8878	0.0115	0.9268	0.8881	1
4.6221	0.0117	0.8367	0.7959	3.8674	0.0115	0.9247	0.8888	2
4.5022	0.0121	0.7836	0.7413	3.5242	0.0123	0.8394	0.7987	3
3.7874	0.0142	0.7029	0.6765	2.3850	0.0149	0.6752	0.6324	4

Framework versions

• Transformers 4.34.0.dev0
• TensorFlow 2.13.0
• Tokenizers 0.13.3