whisper_0015

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: 0.3281
• Train Accuracy: 0.0322
• Validation Loss: 0.5841
• Validation Accuracy: 0.0311
• Epoch: 14

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
5.0856	0.0116	4.4440	0.0123	0
4.3149	0.0131	4.0521	0.0142	1
3.9260	0.0146	3.7264	0.0153	2
3.5418	0.0160	3.3026	0.0174	3
2.7510	0.0198	2.0157	0.0241	4
1.6782	0.0250	1.3567	0.0273	5
1.1705	0.0274	1.0678	0.0286	6
0.9126	0.0287	0.9152	0.0294	7
0.7514	0.0296	0.8057	0.0299	8
0.6371	0.0302	0.7409	0.0302	9
0.5498	0.0307	0.6854	0.0306	10
0.4804	0.0312	0.6518	0.0307	11
0.4214	0.0316	0.6200	0.0310	12
0.3713	0.0319	0.5947	0.0311	13
0.3281	0.0322	0.5841	0.0311	14

Framework versions

• Transformers 4.25.0.dev0
• TensorFlow 2.9.2
• Tokenizers 0.13.2