metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: whisper_nosp_0020
    results: []

whisper_nosp_0020

This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:

Model description

More information needed

More information needed

More information needed

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

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
0.3327	0.0219	0.8148	0.0202	15
0.2904	0.0221	0.8139	0.0202	16
0.2492	0.0224	0.8188	0.0202	17
0.2140	0.0226	0.8146	0.0203	18
0.1825	0.0228	0.8115	0.0203	19