whisper3_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: 0.7159
• Train Accuracy: 0.0297
• Validation Loss: 0.7918
• Validation Accuracy: 0.0300
• 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	Validation Loss	Validation Accuracy	Epoch
5.0832	0.0116	4.4298	0.0124	0
4.3130	0.0131	4.0733	0.0141	1
3.9211	0.0146	3.6762	0.0157	2
3.5505	0.0159	3.3453	0.0171	3
3.1592	0.0175	2.8062	0.0199	4
2.2581	0.0220	1.7622	0.0252	5
1.4671	0.0259	1.2711	0.0276	6
1.0779	0.0278	1.0220	0.0288	7
0.8591	0.0290	0.8836	0.0295	8
0.7159	0.0297	0.7918	0.0300	9

Framework versions

• Transformers 4.25.0.dev0
• TensorFlow 2.9.2
• Datasets 2.6.1
• Tokenizers 0.13.2