generated_from_keras_callback

<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->

whisper_4_with_init_sun_syl_wd_0_lr_5en5_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

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

Training results

Train Loss Train Accuracy Train Wermet Train Wermet Syl Validation Loss Validation Accuracy Validation Wermet Validation Wermet Syl Epoch
4.9238 0.0114 1.0862 0.9770 3.9338 0.0113 0.9552 0.9254 0
4.6719 0.0117 0.8528 0.8103 3.9007 0.0115 0.9402 0.9039 1
4.6187 0.0118 0.8301 0.7838 3.8610 0.0114 0.9577 0.9437 2
4.5640 0.0120 0.7789 0.7297 3.7621 0.0118 0.8545 0.8033 3
4.3462 0.0127 0.7425 0.6956 3.2344 0.0129 0.8044 0.7606 4
3.5558 0.0150 0.6706 0.6374 2.2517 0.0156 0.6263 0.5861 5
2.5760 0.0186 0.5257 0.5080 1.7556 0.0170 0.5259 0.4894 6
1.9159 0.0216 0.4173 0.4213 1.4021 0.0187 0.4121 0.3814 7
1.5063 0.0237 0.3332 0.3368 1.1858 0.0197 0.3655 0.3334 8
1.2375 0.0252 0.2771 0.2829 1.1023 0.0202 0.3410 0.3063 9
1.0304 0.0267 0.2303 0.2384 1.0000 0.0208 0.3180 0.2856 10
0.8460 0.0280 0.1902 0.1974 0.9914 0.0208 0.3101 0.2772 11
0.7003 0.0293 0.1567 0.1675 0.9475 0.0212 0.2962 0.2631 12
0.6407 0.0297 0.1344 0.1466 0.9436 0.0212 0.2937 0.2602 13
0.5536 0.0305 0.1120 0.1231 0.9319 0.0212 0.2869 0.2521 14
0.4725 0.0313 0.0913 0.1035 0.9299 0.0214 0.2799 0.2490 15
0.3594 0.0325 0.0711 0.0841 1.0487 0.0208 0.2922 0.2602 16
0.3652 0.0324 0.0622 0.0778 0.9481 0.0215 0.2758 0.2426 17
0.3433 0.0326 0.0531 0.0674 0.9748 0.0214 0.2778 0.2463 18
0.2761 0.0332 0.0427 0.0594 0.9534 0.0215 0.2724 0.2429 19

Framework versions