train_from_raw_cv12_true_suppress_syl__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: 3.6184
• Train Accuracy: 0.0152
• Train Wermet: 1.1992
• Validation Loss: 3.0624
• Validation Accuracy: 0.0137
• Validation Wermet: 0.8952
• 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': 2e-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
5.0429	0.0114	9.0587	3.8750	0.0118	5.0498	0
4.4427	0.0127	4.5412	3.5504	0.0125	1.0435	1
4.0670	0.0138	1.4433	3.2998	0.0131	0.8708	2
3.8001	0.0146	1.2315	3.1614	0.0134	0.9290	3
3.6184	0.0152	1.1992	3.0624	0.0137	0.8952	4

Framework versions

• Transformers 4.33.0.dev0
• TensorFlow 2.13.0
• Tokenizers 0.13.3