whisper_charsplit_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: 1.0544
• Train Accuracy: 0.0561
• Train Wermet: 9.9365
• Validation Loss: 0.8809
• Validation Accuracy: 0.0623
• Validation Wermet: 10.1087
• 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': 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
2.7836	0.0245	8.8338	2.1866	0.0348	6.5008	0
2.0715	0.0354	7.5148	1.8725	0.0410	5.8800	1
1.7730	0.0412	7.4995	1.5964	0.0467	6.7257	2
1.4468	0.0478	8.1713	1.2401	0.0544	8.7249	3
1.0544	0.0561	9.9365	0.8809	0.0623	10.1087	4

Framework versions

• Transformers 4.32.0.dev0
• TensorFlow 2.12.0
• Tokenizers 0.13.3