metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
base_model: openai/whisper-tiny
model-index:
  - name: whisper3_0020
    results: []

whisper3_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
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
0.6105	0.0304	0.7276	0.0303	10
0.5287	0.0309	0.6850	0.0306	11
0.4614	0.0313	0.6472	0.0308	12
0.4049	0.0317	0.6199	0.0310	13
0.3562	0.0320	0.6019	0.0311	14
0.3139	0.0324	0.5868	0.0311	15
0.2766	0.0326	0.5751	0.0312	16
0.2438	0.0329	0.5701	0.0312	17
0.2116	0.0332	0.5686	0.0313	18
0.1844	0.0334	0.5619	0.0313	19