generated_from_keras_callback

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whisper_syl_cv12_pad_lob100__0035

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 Validation Loss Validation Accuracy Validation Wermet Epoch
5.0233 0.0115 1.6383 3.8616 0.0117 0.9516 0
4.4412 0.0127 0.8560 3.5410 0.0125 0.8971 1
4.0719 0.0138 0.8366 3.2944 0.0132 0.8706 2
3.8091 0.0146 0.8133 3.1691 0.0134 0.8487 3
3.6239 0.0152 0.7866 3.0647 0.0136 0.8282 4
3.4749 0.0156 0.7589 2.9835 0.0139 0.8049 5
3.3444 0.0161 0.7359 2.9351 0.0140 0.7979 6
3.2215 0.0165 0.7138 2.8468 0.0145 0.7589 7
3.0754 0.0172 0.6873 2.7530 0.0148 0.7413 8
2.8713 0.0181 0.6484 2.5226 0.0157 0.7017 9
2.5469 0.0197 0.5934 2.1931 0.0168 0.6285 10
2.0233 0.0225 0.4997 1.6411 0.0189 0.5215 11
1.3808 0.0264 0.3852 1.2401 0.0205 0.4238 12
0.9722 0.0290 0.3123 1.0195 0.0215 0.3682 13
0.7388 0.0305 0.2828 0.8773 0.0221 0.3322 14
0.5787 0.0317 0.2751 0.7970 0.0225 0.3083 15
0.4642 0.0325 0.2878 0.7315 0.0227 0.2964 16
0.3752 0.0332 0.4217 0.6897 0.0229 0.3297 17
0.3042 0.0338 0.7294 0.6572 0.0231 0.4453 18
0.2444 0.0343 1.1298 0.6369 0.0232 0.6637 19
0.1949 0.0348 1.6370 0.6180 0.0233 1.6119 20
0.1544 0.0352 1.6151 0.6149 0.0233 1.6843 21
0.1212 0.0355 1.3832 0.6066 0.0233 0.8721 22
0.0931 0.0357 1.2799 0.6034 0.0234 0.5109 23
0.0725 0.0359 1.0940 0.6102 0.0234 1.0111 24
0.0551 0.0361 1.2865 0.6000 0.0234 1.1393 25
0.0411 0.0361 1.8511 0.6037 0.0235 2.0574 26
0.0311 0.0362 1.7179 0.6018 0.0235 1.4847 27
0.0253 0.0362 0.9801 0.6010 0.0235 0.4457 28
0.0231 0.0362 0.9376 0.6046 0.0235 0.9247 29
0.0196 0.0362 0.6466 0.6078 0.0235 0.5271 30
0.0177 0.0362 0.4041 0.6155 0.0235 0.4352 31
0.0139 0.0362 0.4202 0.6037 0.0236 0.5585 32
0.0137 0.0362 0.8151 0.6015 0.0236 1.8476 33
0.0122 0.0362 3.4515 0.6043 0.0236 3.8210 34

Framework versions