metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: whisper_havest_0015
    results: []

whisper_havest_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:

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
5.0949	0.0116	4.4444	0.0124	0
4.3242	0.0130	4.0648	0.0140	1
3.9308	0.0145	3.6837	0.0157	2
3.5552	0.0159	3.3410	0.0171	3
3.1591	0.0175	2.8089	0.0198	4
2.2408	0.0221	1.7104	0.0255	5
1.4220	0.0261	1.2181	0.0279	6
1.0460	0.0280	0.9912	0.0290	7
0.8363	0.0291	0.8645	0.0296	8
0.6967	0.0299	0.7748	0.0301	9
0.5942	0.0305	0.7201	0.0304	10
0.5151	0.0309	0.6675	0.0307	11
0.4496	0.0314	0.6382	0.0308	12
0.3951	0.0318	0.6060	0.0310	13
0.3473	0.0321	0.5945	0.0311	14