whisper_nosp_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: 0.3829
• Train Accuracy: 0.0216
• Validation Loss: 0.8190
• Validation Accuracy: 0.0202
• 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
7.5559	0.0010	6.3853	0.0013	0
6.3227	0.0021	5.7023	0.0038	1
4.9825	0.0063	3.6302	0.0109	2
2.9413	0.0126	2.1959	0.0154	3
1.9349	0.0157	1.6630	0.0172	4
1.4741	0.0171	1.3813	0.0181	5
1.1975	0.0181	1.2161	0.0186	6
1.0048	0.0188	1.0990	0.0191	7
0.8598	0.0194	1.0165	0.0194	8
0.7431	0.0199	0.9603	0.0196	9
0.6489	0.0203	0.9106	0.0198	10
0.5682	0.0207	0.8787	0.0199	11
0.4985	0.0210	0.8548	0.0200	12
0.4372	0.0213	0.8352	0.0201	13
0.3829	0.0216	0.8190	0.0202	14

Framework versions

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