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__0030

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
5.3409 0.0111 1.3547 1.2898 3.9789 0.0114 0.9710 0.9563 0
4.7143 0.0116 0.8622 0.8228 3.9404 0.0113 0.9823 0.9735 1
4.6752 0.0117 0.8472 0.8057 3.9081 0.0114 0.9579 0.9359 2
4.6500 0.0117 0.8382 0.7945 3.8820 0.0115 0.9213 0.8856 3
4.6282 0.0118 0.8286 0.7805 3.8738 0.0114 0.9433 0.9119 4
4.6095 0.0118 0.8190 0.7696 3.8630 0.0115 0.9117 0.8698 5
4.5875 0.0119 0.7976 0.7465 3.8341 0.0116 0.8976 0.8552 6
4.5682 0.0120 0.7753 0.7227 3.8277 0.0116 0.9014 0.8653 7
4.5376 0.0121 0.7528 0.7005 3.7844 0.0118 0.8332 0.7815 8
4.5060 0.0122 0.7392 0.6844 3.7537 0.0118 0.8578 0.8152 9
4.4580 0.0124 0.7221 0.6694 3.7038 0.0120 0.8190 0.7679 10
4.3989 0.0125 0.7156 0.6636 3.6169 0.0122 0.7979 0.7429 11
4.3056 0.0128 0.7069 0.6557 3.5098 0.0125 0.7924 0.7396 12
4.1673 0.0132 0.7054 0.6584 3.3542 0.0128 0.7759 0.7240 13
3.9762 0.0138 0.6987 0.6559 3.1318 0.0133 0.7644 0.7231 14
3.7385 0.0145 0.6835 0.6448 2.9144 0.0138 0.7392 0.6955 15
3.5040 0.0152 0.6644 0.6298 2.7413 0.0142 0.7019 0.6548 16
3.2728 0.0160 0.6408 0.6101 2.5183 0.0149 0.6798 0.6363 17
3.0657 0.0167 0.6188 0.5912 2.3594 0.0153 0.6528 0.6103 18
2.8703 0.0174 0.5936 0.5685 2.2644 0.0156 0.6310 0.5925 19
2.6850 0.0181 0.5680 0.5453 2.1296 0.0160 0.6040 0.5652 20
2.5227 0.0188 0.5423 0.5215 2.0019 0.0165 0.5793 0.5403 21
2.3878 0.0194 0.5199 0.5015 1.8996 0.0169 0.5592 0.5229 22
2.2437 0.0201 0.4959 0.4788 1.8141 0.0172 0.5414 0.5045 23
2.1205 0.0207 0.4752 0.4607 1.7245 0.0175 0.5208 0.4838 24
1.9919 0.0213 0.4533 0.4390 1.6673 0.0178 0.5026 0.4659 25
1.9140 0.0217 0.4355 0.4216 1.6041 0.0181 0.4873 0.4512 26
1.8225 0.0222 0.4184 0.4052 1.6271 0.0179 0.4852 0.4511 27
1.7265 0.0227 0.4016 0.3895 1.5219 0.0184 0.4635 0.4275 28
1.6240 0.0233 0.3833 0.3729 1.4718 0.0186 0.4515 0.4170 29

Framework versions