train_from_raw_cv12_true_suppress__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: 1.4953
• Train Accuracy: 0.0631
• Train Wermet: 1.8208
• Validation Loss: 1.4549
• Validation Accuracy: 0.0397
• Validation Wermet: 4.4667
• 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
2.3569	0.0439	2.6429	1.7869	0.0339	10.1374	0
1.7502	0.0561	3.2762	1.6607	0.0360	9.6159	1
1.6268	0.0595	3.0493	1.5698	0.0374	8.6767	2
1.5533	0.0614	2.3917	1.4965	0.0387	7.2278	3
1.4953	0.0631	1.8208	1.4549	0.0397	4.4667	4

Framework versions

• Transformers 4.33.0.dev0
• TensorFlow 2.13.0
• Tokenizers 0.13.3