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audioclass-alpha

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
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End of training

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  1. README.md +52 -52
  2. model.safetensors +1 -1
  3. runs/Nov05_06-03-56_0650b5915018/events.out.tfevents.1699164252.0650b5915018.401.0 +2 -2
  4. runs/Nov05_06-03-56_0650b5915018/events.out.tfevents.1699172320.0650b5915018.401.1 +3 -0
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0998
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- - Accuracy: 0.9660
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  ## Model description
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@@ -53,56 +53,56 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 3.4273 | 1.0 | 62 | 3.4237 | 0.0431 |
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- | 3.4084 | 2.0 | 124 | 3.3905 | 0.1179 |
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- | 3.3119 | 3.0 | 186 | 3.2305 | 0.2789 |
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- | 3.0335 | 4.0 | 248 | 2.8316 | 0.3537 |
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- | 2.5734 | 5.0 | 310 | 2.3766 | 0.4308 |
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- | 2.1768 | 6.0 | 372 | 1.9373 | 0.5760 |
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- | 1.8634 | 7.0 | 434 | 1.6130 | 0.6712 |
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- | 1.6591 | 8.0 | 496 | 1.3387 | 0.7347 |
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- | 1.3715 | 9.0 | 558 | 1.1461 | 0.7868 |
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- | 1.1765 | 10.0 | 620 | 0.9773 | 0.8027 |
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- | 1.0398 | 11.0 | 682 | 0.7819 | 0.8481 |
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- | 0.845 | 12.0 | 744 | 0.7010 | 0.8549 |
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- | 0.7978 | 13.0 | 806 | 0.6215 | 0.8662 |
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- | 0.6727 | 14.0 | 868 | 0.5388 | 0.8707 |
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- | 0.6023 | 15.0 | 930 | 0.4660 | 0.8844 |
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- | 0.6219 | 16.0 | 992 | 0.4607 | 0.8844 |
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- | 0.4981 | 17.0 | 1054 | 0.3918 | 0.8889 |
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- | 0.4693 | 18.0 | 1116 | 0.3890 | 0.8753 |
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- | 0.421 | 19.0 | 1178 | 0.3288 | 0.8866 |
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- | 0.4219 | 20.0 | 1240 | 0.3367 | 0.8934 |
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- | 0.3775 | 21.0 | 1302 | 0.3176 | 0.8866 |
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- | 0.3618 | 22.0 | 1364 | 0.3077 | 0.9002 |
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- | 0.3046 | 23.0 | 1426 | 0.3206 | 0.9093 |
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- | 0.3092 | 24.0 | 1488 | 0.2413 | 0.9320 |
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- | 0.2793 | 25.0 | 1550 | 0.2777 | 0.9252 |
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- | 0.3082 | 26.0 | 1612 | 0.2795 | 0.9274 |
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- | 0.2147 | 27.0 | 1674 | 0.2467 | 0.9388 |
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- | 0.1996 | 28.0 | 1736 | 0.2538 | 0.9388 |
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- | 0.3012 | 29.0 | 1798 | 0.1885 | 0.9501 |
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- | 0.2203 | 30.0 | 1860 | 0.1916 | 0.9524 |
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- | 0.2663 | 31.0 | 1922 | 0.2053 | 0.9501 |
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- | 0.1942 | 32.0 | 1984 | 0.1698 | 0.9524 |
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- | 0.1852 | 33.0 | 2046 | 0.1689 | 0.9569 |
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- | 0.2856 | 34.0 | 2108 | 0.1276 | 0.9615 |
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- | 0.2095 | 35.0 | 2170 | 0.1376 | 0.9592 |
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- | 0.1791 | 36.0 | 2232 | 0.1346 | 0.9615 |
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- | 0.1528 | 37.0 | 2294 | 0.1452 | 0.9569 |
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- | 0.1584 | 38.0 | 2356 | 0.1326 | 0.9524 |
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- | 0.1868 | 39.0 | 2418 | 0.1309 | 0.9615 |
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- | 0.1764 | 40.0 | 2480 | 0.1314 | 0.9592 |
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- | 0.1877 | 41.0 | 2542 | 0.1546 | 0.9546 |
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- | 0.1319 | 42.0 | 2604 | 0.1505 | 0.9546 |
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- | 0.1196 | 43.0 | 2666 | 0.1386 | 0.9569 |
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- | 0.1606 | 44.0 | 2728 | 0.1305 | 0.9569 |
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- | 0.2146 | 45.0 | 2790 | 0.1088 | 0.9615 |
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- | 0.1377 | 46.0 | 2852 | 0.1167 | 0.9592 |
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- | 0.1544 | 47.0 | 2914 | 0.1027 | 0.9637 |
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- | 0.1396 | 48.0 | 2976 | 0.0998 | 0.9660 |
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- | 0.1702 | 49.0 | 3038 | 0.0991 | 0.9660 |
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- | 0.1555 | 50.0 | 3100 | 0.0980 | 0.9660 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0963
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+ - Accuracy: 0.9819
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 3.3678 | 1.0 | 62 | 3.3612 | 0.0408 |
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+ | 3.349 | 2.0 | 124 | 3.3402 | 0.0385 |
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+ | 3.2935 | 3.0 | 186 | 3.2047 | 0.2494 |
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+ | 2.9643 | 4.0 | 248 | 2.7250 | 0.5102 |
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+ | 2.4158 | 5.0 | 310 | 2.1914 | 0.6621 |
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+ | 1.9634 | 6.0 | 372 | 1.7440 | 0.7800 |
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+ | 1.6144 | 7.0 | 434 | 1.3680 | 0.8503 |
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+ | 1.2939 | 8.0 | 496 | 1.0948 | 0.8390 |
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+ | 1.0933 | 9.0 | 558 | 0.8783 | 0.8776 |
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+ | 0.8596 | 10.0 | 620 | 0.7053 | 0.9048 |
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+ | 0.6664 | 11.0 | 682 | 0.6020 | 0.9184 |
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+ | 0.5843 | 12.0 | 744 | 0.5392 | 0.9048 |
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+ | 0.5714 | 13.0 | 806 | 0.4380 | 0.9297 |
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+ | 0.4395 | 14.0 | 868 | 0.4434 | 0.9252 |
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+ | 0.323 | 15.0 | 930 | 0.3000 | 0.9524 |
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+ | 0.3218 | 16.0 | 992 | 0.2418 | 0.9546 |
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+ | 0.3026 | 17.0 | 1054 | 0.2462 | 0.9524 |
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+ | 0.2531 | 18.0 | 1116 | 0.2003 | 0.9660 |
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+ | 0.2702 | 19.0 | 1178 | 0.1883 | 0.9637 |
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+ | 0.2368 | 20.0 | 1240 | 0.1612 | 0.9728 |
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+ | 0.2121 | 21.0 | 1302 | 0.1981 | 0.9637 |
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+ | 0.2011 | 22.0 | 1364 | 0.1635 | 0.9683 |
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+ | 0.1875 | 23.0 | 1426 | 0.1454 | 0.9728 |
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+ | 0.1415 | 24.0 | 1488 | 0.1433 | 0.9683 |
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+ | 0.1162 | 25.0 | 1550 | 0.1504 | 0.9660 |
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+ | 0.0946 | 26.0 | 1612 | 0.1759 | 0.9615 |
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+ | 0.1032 | 27.0 | 1674 | 0.1206 | 0.9751 |
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+ | 0.095 | 28.0 | 1736 | 0.1123 | 0.9773 |
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+ | 0.1526 | 29.0 | 1798 | 0.1267 | 0.9728 |
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+ | 0.1003 | 30.0 | 1860 | 0.0953 | 0.9796 |
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+ | 0.1371 | 31.0 | 1922 | 0.1158 | 0.9751 |
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+ | 0.0765 | 32.0 | 1984 | 0.0963 | 0.9819 |
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+ | 0.1152 | 33.0 | 2046 | 0.0929 | 0.9819 |
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+ | 0.1344 | 34.0 | 2108 | 0.1103 | 0.9796 |
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+ | 0.1067 | 35.0 | 2170 | 0.1065 | 0.9773 |
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+ | 0.0847 | 36.0 | 2232 | 0.0898 | 0.9819 |
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+ | 0.0835 | 37.0 | 2294 | 0.0934 | 0.9819 |
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+ | 0.1009 | 38.0 | 2356 | 0.1136 | 0.9796 |
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+ | 0.1272 | 39.0 | 2418 | 0.1315 | 0.9751 |
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+ | 0.0463 | 40.0 | 2480 | 0.1127 | 0.9796 |
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+ | 0.085 | 41.0 | 2542 | 0.0985 | 0.9796 |
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+ | 0.0431 | 42.0 | 2604 | 0.0964 | 0.9773 |
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+ | 0.0698 | 43.0 | 2666 | 0.1128 | 0.9773 |
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+ | 0.0493 | 44.0 | 2728 | 0.0934 | 0.9796 |
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+ | 0.1208 | 45.0 | 2790 | 0.0882 | 0.9819 |
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+ | 0.0536 | 46.0 | 2852 | 0.0932 | 0.9796 |
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+ | 0.064 | 47.0 | 2914 | 0.1008 | 0.9796 |
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+ | 0.0538 | 48.0 | 2976 | 0.1094 | 0.9796 |
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+ | 0.0774 | 49.0 | 3038 | 0.1081 | 0.9796 |
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+ | 0.0379 | 50.0 | 3100 | 0.1085 | 0.9796 |
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  ### Framework versions
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