generated_from_keras_callback

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wh_4_sun_syl_w_0_lr_8en5_b32_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
5.2081 0.0105 1.5151 1.1936 4.0143 0.0113 0.9817 0.9765 0
4.7532 0.0116 0.8756 0.8371 3.9494 0.0114 0.9457 0.9171 1
4.7031 0.0117 0.8615 0.8175 3.9244 0.0114 0.9383 0.8993 2
4.6799 0.0117 0.8569 0.8117 3.9091 0.0114 0.9659 0.9487 3
4.6415 0.0117 0.8450 0.7985 3.8828 0.0115 0.9227 0.8867 4
4.6194 0.0118 0.8366 0.7901 3.8588 0.0115 0.9314 0.8973 5
4.5993 0.0118 0.8253 0.7803 3.9068 0.0116 0.9000 0.8526 6
4.5584 0.0120 0.7864 0.7455 3.7567 0.0118 0.8407 0.7907 7
4.4423 0.0123 0.7655 0.7209 3.5099 0.0123 0.8256 0.7786 8
4.0719 0.0133 0.7479 0.7112 2.9385 0.0135 0.7636 0.7193 9
3.5177 0.0148 0.7049 0.6917 2.4295 0.0148 0.6907 0.6559 10
2.8931 0.0170 0.6532 0.6928 2.0341 0.0161 0.6031 0.5778 11
2.4018 0.0190 0.6050 0.7024 1.7053 0.0174 0.5373 0.5223 12
1.9940 0.0210 0.5579 0.7168 1.5422 0.0180 0.4803 0.4793 13
1.7258 0.0223 0.5356 0.7426 1.4314 0.0186 0.4270 0.4029 14
1.4823 0.0237 0.4865 0.7094 1.3495 0.0190 0.4146 0.4082 15
1.2444 0.0252 0.4278 0.6455 1.2070 0.0198 0.3945 0.3965 16
1.1179 0.0261 0.3774 0.5791 1.1574 0.0200 0.3679 0.3479 17
1.0182 0.0267 0.3377 0.5283 1.3384 0.0189 0.3799 0.3800 18
0.9117 0.0276 0.2949 0.4680 1.2758 0.0192 0.4053 0.4485 19
0.7453 0.0290 0.2613 0.4292 1.1716 0.0203 0.3453 0.3306 20
0.6662 0.0296 0.2193 0.3666 1.1194 0.0205 0.3391 0.3188 21
0.5670 0.0305 0.1841 0.3121 1.2457 0.0200 0.3477 0.3347 22
0.5777 0.0304 0.1711 0.2936 1.2328 0.0201 0.3512 0.3321 23
0.4963 0.0312 0.1340 0.2298 1.4423 0.0189 0.3788 0.3437 24
0.4911 0.0311 0.1337 0.2363 1.1022 0.0208 0.3216 0.3001 25
0.3529 0.0326 0.1065 0.2027 1.1164 0.0209 0.3236 0.2979 26
0.3296 0.0328 0.0915 0.1748 1.1417 0.0208 0.3238 0.3087 27
0.2417 0.0337 0.0661 0.1297 1.1344 0.0210 0.3181 0.2957 28
0.3105 0.0330 0.0789 0.1339 1.1690 0.0207 0.3261 0.3084 29

Framework versions