whisper_new_split_ch_08__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: 3.5190
• Train Accuracy: 0.0142
• Train Wermet: 6.2910
• 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	Epoch
7.0502	0.0020	5.6150	0
5.6527	0.0046	11.3162	1
4.8654	0.0085	4.8190	2
4.4295	0.0107	5.4574	3
4.1588	0.0111	6.9059	4
3.9861	0.0112	6.9104	5
3.8010	0.0121	6.8845	6
3.6776	0.0124	6.9533	7
3.5939	0.0135	6.6166	8
3.5190	0.0142	6.2910	9

Framework versions

• Transformers 4.31.0
• TensorFlow 2.13.0
• Tokenizers 0.13.3