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wav2vec2-age-gender

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mlmarian/wav2vec2-large-robust-6-ft-age-gender

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  1. README.md +54 -54
  2. model.safetensors +1 -1
  3. runs/Sep18_09-29-34_aa7ca2f2306f/events.out.tfevents.1726651781.aa7ca2f2306f.852.1 +2 -2
  4. runs/Sep18_09-29-34_aa7ca2f2306f/events.out.tfevents.1726662542.aa7ca2f2306f.852.2 +3 -0
README.md CHANGED
@@ -20,12 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [audeering/wav2vec2-large-robust-6-ft-age-gender](https://huggingface.co/audeering/wav2vec2-large-robust-6-ft-age-gender) on the arrow dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.7117
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- - Accuracy: 0.4558
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- - F1 Score: 0.2830
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- - Mse: 1.3020
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- - Mae: 0.7497
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- - Mae^m: 1.4812
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  ## Model description
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@@ -60,54 +60,54 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score | Mse | Mae | Mae^m |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|:------:|:------:|:------:|
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- | 1.6836 | 0.6116 | 100 | 1.5828 | 0.3483 | 0.1037 | 1.8639 | 0.9796 | 2.2114 |
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- | 1.4057 | 1.2232 | 200 | 1.4621 | 0.4082 | 0.1533 | 1.7619 | 0.9048 | 1.6819 |
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- | 1.3727 | 1.8349 | 300 | 1.3879 | 0.4014 | 0.2015 | 1.5211 | 0.8571 | 1.6878 |
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- | 1.4223 | 2.4465 | 400 | 1.6485 | 0.3619 | 0.2043 | 1.8 | 0.9456 | 1.4209 |
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- | 1.2629 | 3.0581 | 500 | 1.4048 | 0.4286 | 0.2189 | 1.2585 | 0.7660 | 1.4796 |
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- | 1.2137 | 3.6697 | 600 | 1.5711 | 0.4122 | 0.2348 | 1.4844 | 0.8340 | 1.4524 |
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- | 0.9533 | 4.2813 | 700 | 1.6416 | 0.4122 | 0.2122 | 1.2884 | 0.7878 | 1.3021 |
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- | 1.2835 | 4.8930 | 800 | 1.7068 | 0.4218 | 0.2151 | 1.3306 | 0.7918 | 1.7329 |
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- | 0.9377 | 5.5046 | 900 | 1.9479 | 0.4354 | 0.2592 | 1.3469 | 0.7837 | 1.5437 |
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- | 0.6288 | 6.1162 | 1000 | 1.9215 | 0.4190 | 0.2719 | 1.3265 | 0.7796 | 1.2481 |
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- | 0.764 | 6.7278 | 1100 | 2.0344 | 0.4340 | 0.2950 | 1.3102 | 0.7714 | 1.1826 |
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- | 0.7453 | 7.3394 | 1200 | 2.5138 | 0.3687 | 0.2252 | 1.4639 | 0.8571 | 1.3314 |
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- | 0.6967 | 7.9511 | 1300 | 2.3586 | 0.3619 | 0.2706 | 1.4626 | 0.8612 | 1.4593 |
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- | 0.4906 | 8.5627 | 1400 | 2.6593 | 0.3864 | 0.2524 | 1.3007 | 0.8027 | 1.3683 |
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- | 0.3849 | 9.1743 | 1500 | 2.9461 | 0.3918 | 0.2526 | 1.4068 | 0.8272 | 1.6859 |
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- | 0.5537 | 9.7859 | 1600 | 2.9686 | 0.4027 | 0.2343 | 1.2082 | 0.7728 | 1.5125 |
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- | 0.3572 | 10.3976 | 1700 | 3.3527 | 0.4177 | 0.2357 | 1.2912 | 0.7796 | 1.5122 |
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- | 0.3251 | 11.0092 | 1800 | 3.3499 | 0.3837 | 0.2611 | 1.3129 | 0.8068 | 1.2776 |
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- | 0.3012 | 11.6208 | 1900 | 3.4071 | 0.4231 | 0.2897 | 1.4803 | 0.8109 | 1.5345 |
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- | 0.2909 | 12.2324 | 2000 | 3.6400 | 0.3782 | 0.2699 | 1.3252 | 0.8136 | 1.4372 |
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- | 0.2604 | 12.8440 | 2100 | 3.5126 | 0.4272 | 0.2804 | 1.3864 | 0.7878 | 1.4594 |
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- | 0.1622 | 13.4557 | 2200 | 3.8799 | 0.4109 | 0.2516 | 1.2789 | 0.7782 | 1.4598 |
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- | 0.2767 | 14.0673 | 2300 | 3.9353 | 0.4177 | 0.2631 | 1.4259 | 0.8082 | 1.4637 |
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- | 0.1663 | 14.6789 | 2400 | 4.1503 | 0.4340 | 0.2938 | 1.3374 | 0.7741 | 1.4069 |
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- | 0.1942 | 15.2905 | 2500 | 4.2714 | 0.4299 | 0.2898 | 1.4531 | 0.8 | 1.3225 |
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- | 0.1795 | 15.9021 | 2600 | 4.3284 | 0.4027 | 0.2836 | 1.2803 | 0.7905 | 1.3833 |
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- | 0.1631 | 16.5138 | 2700 | 5.0180 | 0.4122 | 0.2451 | 1.2068 | 0.7633 | 1.4058 |
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- | 0.1188 | 17.1254 | 2800 | 4.7117 | 0.4558 | 0.2830 | 1.3020 | 0.7497 | 1.4812 |
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- | 0.0843 | 17.7370 | 2900 | 5.1125 | 0.4463 | 0.2807 | 1.4585 | 0.7891 | 1.7007 |
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- | 0.1432 | 18.3486 | 3000 | 5.1209 | 0.4109 | 0.2681 | 1.2993 | 0.7823 | 1.4347 |
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- | 0.1048 | 18.9602 | 3100 | 5.1236 | 0.4163 | 0.2746 | 1.2381 | 0.7673 | 1.3693 |
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- | 0.1648 | 19.5719 | 3200 | 5.3267 | 0.4136 | 0.2779 | 1.2667 | 0.7823 | 1.3792 |
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- | 0.1047 | 20.1835 | 3300 | 5.1863 | 0.4367 | 0.2740 | 1.2803 | 0.7687 | 1.3911 |
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- | 0.0172 | 20.7951 | 3400 | 5.4078 | 0.4177 | 0.2824 | 1.3197 | 0.7891 | 1.3904 |
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- | 0.1418 | 21.4067 | 3500 | 5.5471 | 0.4272 | 0.2710 | 1.2667 | 0.7633 | 1.2933 |
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- | 0.0601 | 22.0183 | 3600 | 5.6969 | 0.4395 | 0.2844 | 1.2449 | 0.7551 | 1.4253 |
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- | 0.0877 | 22.6300 | 3700 | 5.7804 | 0.4395 | 0.2925 | 1.3020 | 0.7660 | 1.2497 |
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- | 0.0704 | 23.2416 | 3800 | 5.9517 | 0.4327 | 0.2864 | 1.2571 | 0.7592 | 1.4179 |
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- | 0.0786 | 23.8532 | 3900 | 6.0544 | 0.4503 | 0.3013 | 1.2925 | 0.7537 | 1.4386 |
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- | 0.0054 | 24.4648 | 4000 | 6.0187 | 0.4354 | 0.2958 | 1.1823 | 0.7415 | 1.3947 |
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- | 0.0987 | 25.0765 | 4100 | 5.9386 | 0.4313 | 0.2955 | 1.2027 | 0.7537 | 1.3835 |
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- | 0.0429 | 25.6881 | 4200 | 6.0748 | 0.4476 | 0.2935 | 1.2245 | 0.7429 | 1.2786 |
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- | 0.0152 | 26.2997 | 4300 | 6.1945 | 0.4408 | 0.2967 | 1.2340 | 0.7469 | 1.4053 |
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- | 0.0057 | 26.9113 | 4400 | 6.2029 | 0.4422 | 0.2986 | 1.2776 | 0.7578 | 1.3845 |
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- | 0.0221 | 27.5229 | 4500 | 6.1379 | 0.4272 | 0.2909 | 1.2503 | 0.7633 | 1.3650 |
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- | 0.029 | 28.1346 | 4600 | 6.0635 | 0.4327 | 0.2946 | 1.2912 | 0.7714 | 1.3961 |
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- | 0.018 | 28.7462 | 4700 | 6.2250 | 0.4354 | 0.2959 | 1.2653 | 0.7619 | 1.3929 |
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- | 0.0229 | 29.3578 | 4800 | 6.2542 | 0.4286 | 0.2970 | 1.2354 | 0.7592 | 1.3829 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [audeering/wav2vec2-large-robust-6-ft-age-gender](https://huggingface.co/audeering/wav2vec2-large-robust-6-ft-age-gender) on the arrow dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.5537
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+ - Accuracy: 0.4728
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+ - F1 Score: 0.2652
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+ - Mse: 1.3505
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+ - Mae: 0.7527
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+ - Mae^m: 1.2759
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score | Mse | Mae | Mae^m |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|:------:|:------:|:------:|
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+ | 1.6537 | 0.6116 | 100 | 1.5436 | 0.3951 | 0.1176 | 1.8719 | 0.9510 | 1.8697 |
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+ | 1.444 | 1.2232 | 200 | 1.3586 | 0.4142 | 0.2591 | 1.1662 | 0.7629 | 1.0623 |
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+ | 1.4129 | 1.8349 | 300 | 1.4103 | 0.3351 | 0.1886 | 1.1853 | 0.8256 | 1.2259 |
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+ | 1.4089 | 2.4465 | 400 | 1.5204 | 0.3188 | 0.1708 | 1.2425 | 0.8556 | 1.1245 |
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+ | 1.3624 | 3.0581 | 500 | 1.4430 | 0.3924 | 0.1947 | 1.2507 | 0.7984 | 1.1701 |
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+ | 1.2793 | 3.6697 | 600 | 1.4646 | 0.4060 | 0.3666 | 1.3678 | 0.8174 | 0.8894 |
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+ | 1.0964 | 4.2813 | 700 | 1.5239 | 0.4441 | 0.2978 | 1.1090 | 0.7275 | 0.9776 |
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+ | 1.1362 | 4.8930 | 800 | 1.6786 | 0.4496 | 0.3366 | 1.2561 | 0.7548 | 0.8756 |
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+ | 0.9191 | 5.5046 | 900 | 1.5732 | 0.4441 | 0.3106 | 1.0845 | 0.7139 | 0.8963 |
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+ | 0.6949 | 6.1162 | 1000 | 1.8249 | 0.4469 | 0.2538 | 1.1008 | 0.7139 | 1.0736 |
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+ | 0.8272 | 6.7278 | 1100 | 1.8225 | 0.4550 | 0.3115 | 1.0599 | 0.6948 | 1.0455 |
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+ | 0.7242 | 7.3394 | 1200 | 2.1688 | 0.3951 | 0.2593 | 1.0599 | 0.7493 | 1.0673 |
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+ | 0.7385 | 7.9511 | 1300 | 2.3316 | 0.4114 | 0.2894 | 1.2234 | 0.7711 | 1.0547 |
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+ | 0.6214 | 8.5627 | 1400 | 2.2313 | 0.4768 | 0.2632 | 0.9455 | 0.6567 | 1.0143 |
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+ | 0.3996 | 9.1743 | 1500 | 2.3696 | 0.4714 | 0.2979 | 1.0763 | 0.6948 | 1.0522 |
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+ | 0.467 | 9.7859 | 1600 | 2.4082 | 0.4005 | 0.2902 | 1.1144 | 0.7493 | 0.8743 |
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+ | 0.3559 | 10.3976 | 1700 | 2.9747 | 0.4632 | 0.3154 | 1.1281 | 0.7084 | 1.1496 |
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+ | 0.5321 | 11.0092 | 1800 | 2.8344 | 0.4578 | 0.3201 | 0.9973 | 0.6812 | 0.9616 |
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+ | 0.3078 | 11.6208 | 1900 | 3.0384 | 0.4251 | 0.3050 | 1.0981 | 0.7330 | 1.0609 |
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+ | 0.216 | 12.2324 | 2000 | 3.1374 | 0.4578 | 0.3000 | 0.9564 | 0.6676 | 0.9610 |
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+ | 0.3241 | 12.8440 | 2100 | 3.6605 | 0.4142 | 0.2530 | 1.0245 | 0.7193 | 1.1348 |
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+ | 0.2642 | 13.4557 | 2200 | 3.4759 | 0.4278 | 0.3076 | 1.0354 | 0.7139 | 0.9519 |
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+ | 0.1692 | 14.0673 | 2300 | 3.9204 | 0.4223 | 0.2506 | 1.0763 | 0.7275 | 1.1008 |
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+ | 0.1729 | 14.6789 | 2400 | 3.8804 | 0.4578 | 0.3171 | 1.0545 | 0.6948 | 1.0291 |
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+ | 0.2636 | 15.2905 | 2500 | 4.1746 | 0.4523 | 0.3043 | 1.0845 | 0.7084 | 0.9463 |
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+ | 0.1523 | 15.9021 | 2600 | 4.1583 | 0.4169 | 0.2919 | 1.1144 | 0.7384 | 0.9452 |
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+ | 0.101 | 16.5138 | 2700 | 4.2574 | 0.4496 | 0.2650 | 0.9837 | 0.6839 | 1.0895 |
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+ | 0.1593 | 17.1254 | 2800 | 4.3649 | 0.4387 | 0.2716 | 1.1253 | 0.7275 | 1.1297 |
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+ | 0.0707 | 17.7370 | 2900 | 4.6972 | 0.4060 | 0.2930 | 1.1907 | 0.7657 | 1.0690 |
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+ | 0.1647 | 18.3486 | 3000 | 4.9096 | 0.4360 | 0.2576 | 1.0518 | 0.7139 | 1.0402 |
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+ | 0.2 | 18.9602 | 3100 | 4.9426 | 0.4142 | 0.2755 | 1.0409 | 0.7248 | 1.0775 |
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+ | 0.0381 | 19.5719 | 3200 | 4.7156 | 0.4441 | 0.2706 | 1.0136 | 0.6975 | 0.9823 |
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+ | 0.1236 | 20.1835 | 3300 | 5.1736 | 0.4305 | 0.2666 | 1.0136 | 0.7084 | 0.9442 |
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+ | 0.0415 | 20.7951 | 3400 | 5.2558 | 0.4305 | 0.2625 | 1.0681 | 0.7248 | 0.9997 |
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+ | 0.0307 | 21.4067 | 3500 | 5.4287 | 0.3924 | 0.2482 | 1.1635 | 0.7711 | 1.0877 |
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+ | 0.0079 | 22.0183 | 3600 | 5.3503 | 0.4169 | 0.2505 | 1.1035 | 0.7439 | 1.0535 |
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+ | 0.0588 | 22.6300 | 3700 | 5.4146 | 0.4060 | 0.2740 | 1.1172 | 0.7520 | 0.9442 |
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+ | 0.1119 | 23.2416 | 3800 | 5.5098 | 0.4278 | 0.2842 | 1.0899 | 0.7248 | 1.0109 |
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+ | 0.0135 | 23.8532 | 3900 | 6.0306 | 0.4196 | 0.2634 | 1.0381 | 0.7221 | 1.0756 |
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+ | 0.0457 | 24.4648 | 4000 | 5.8127 | 0.4469 | 0.2854 | 1.0327 | 0.7003 | 1.1027 |
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+ | 0.1018 | 25.0765 | 4100 | 5.6878 | 0.4469 | 0.2939 | 1.1117 | 0.7193 | 1.0586 |
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+ | 0.0082 | 25.6881 | 4200 | 5.6874 | 0.4332 | 0.2795 | 1.1090 | 0.7330 | 1.0770 |
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+ | 0.0308 | 26.2997 | 4300 | 5.8580 | 0.4305 | 0.2743 | 1.0899 | 0.7302 | 1.0835 |
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+ | 0.0081 | 26.9113 | 4400 | 6.2890 | 0.4332 | 0.2487 | 1.0599 | 0.7221 | 1.1730 |
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+ | 0.0185 | 27.5229 | 4500 | 6.1682 | 0.4441 | 0.2758 | 1.0463 | 0.7084 | 1.0905 |
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+ | 0.016 | 28.1346 | 4600 | 6.0424 | 0.4414 | 0.2930 | 1.0954 | 0.7248 | 1.1141 |
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+ | 0.0156 | 28.7462 | 4700 | 6.1145 | 0.4414 | 0.2847 | 1.0926 | 0.7221 | 1.1320 |
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+ | 0.0035 | 29.3578 | 4800 | 6.0960 | 0.4441 | 0.2912 | 1.1035 | 0.7221 | 1.1203 |
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  ### Framework versions
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