metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
base_model: openai/whisper-tiny
model-index:
  - name: whisper_end22
    results: []

whisper_end22

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
5.0856	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
0.2891	0.0325	0.5700	0.0313	15
0.2550	0.0328	0.5614	0.0313	16
0.2237	0.0331	0.5572	0.0313	17
0.1959	0.0333	0.5563	0.0314	18
0.1698	0.0335	0.5530	0.0314	19
0.1455	0.0337	0.5590	0.0314	20
0.1242	0.0339	0.5743	0.0313	21
0.1061	0.0341	0.5635	0.0314	22