metadata
library_name: keras
tags:
- keras
- audio-classification
- accent-classification
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
| Optimizer | learning_rate | decay | beta_1 | beta_2 | epsilon | amsgrad | training_precision |
|---|---|---|---|---|---|---|---|
| Adam | 1.9644e-05 | 0.0 | 0.9 | 0.999 | 1e-07 | False | float32 |
Training Metrics
| Epochs | Training Loss | Training Accuracy | Training AUC |
|---|---|---|---|
| 1 | 10.614 | 0.343 | 0.759 |
| 2 | 9.378 | 0.396 | 0.806 |
| 3 | 8.993 | 0.422 | 0.821 |
| 4 | 8.768 | 0.433 | 0.829 |
| 5 | 8.636 | 0.438 | 0.833 |
| 6 | 8.514 | 0.442 | 0.837 |
| 7 | 8.432 | 0.444 | 0.839 |
| 8 | 8.339 | 0.446 | 0.841 |
| 9 | 8.270 | 0.448 | 0.843 |
| 10 | 8.202 | 0.449 | 0.845 |
| 11 | 8.141 | 0.451 | 0.847 |
| 12 | 8.095 | 0.452 | 0.849 |
| 13 | 8.029 | 0.454 | 0.851 |
| 14 | 7.982 | 0.454 | 0.852 |
| 15 | 7.935 | 0.456 | 0.853 |
| 16 | 7.896 | 0.456 | 0.854 |
| 17 | 7.846 | 0.459 | 0.856 |
| 18 | 7.809 | 0.460 | 0.857 |
| 19 | 7.763 | 0.460 | 0.858 |
| 20 | 7.720 | 0.462 | 0.860 |
| 21 | 7.688 | 0.463 | 0.860 |
| 22 | 7.640 | 0.464 | 0.861 |
| 23 | 7.593 | 0.467 | 0.863 |
| 24 | 7.579 | 0.467 | 0.863 |
| 25 | 7.552 | 0.468 | 0.864 |
| 26 | 7.512 | 0.468 | 0.865 |
| 27 | 7.477 | 0.469 | 0.866 |
| 28 | 7.434 | 0.470 | 0.867 |
| 29 | 7.420 | 0.471 | 0.868 |
| 30 | 7.374 | 0.471 | 0.868 |
| 31 | 7.352 | 0.473 | 0.869 |
| 32 | 7.323 | 0.474 | 0.870 |
| 33 | 7.274 | 0.475 | 0.871 |
| 34 | 7.253 | 0.476 | 0.871 |
| 35 | 7.221 | 0.477 | 0.872 |
| 36 | 7.179 | 0.480 | 0.873 |
| 37 | 7.155 | 0.481 | 0.874 |
| 38 | 7.141 | 0.481 | 0.874 |
| 39 | 7.108 | 0.482 | 0.875 |
| 40 | 7.067 | 0.483 | 0.876 |
| 41 | 7.060 | 0.483 | 0.876 |
| 42 | 7.019 | 0.485 | 0.877 |
| 43 | 6.998 | 0.484 | 0.877 |
| 44 | 6.974 | 0.486 | 0.878 |
| 45 | 6.947 | 0.487 | 0.878 |
| 46 | 6.921 | 0.488 | 0.879 |
| 47 | 6.875 | 0.490 | 0.880 |
| 48 | 6.860 | 0.490 | 0.880 |
| 49 | 6.843 | 0.491 | 0.881 |
| 50 | 6.811 | 0.492 | 0.881 |
| 51 | 6.783 | 0.494 | 0.882 |
| 52 | 6.764 | 0.494 | 0.882 |
| 53 | 6.719 | 0.497 | 0.883 |
| 54 | 6.693 | 0.497 | 0.884 |
| 55 | 6.682 | 0.498 | 0.884 |
| 56 | 6.653 | 0.497 | 0.884 |
| 57 | 6.630 | 0.499 | 0.885 |
| 58 | 6.596 | 0.500 | 0.885 |
| 59 | 6.577 | 0.500 | 0.886 |
| 60 | 6.546 | 0.501 | 0.886 |
| 61 | 6.517 | 0.502 | 0.887 |
| 62 | 6.514 | 0.504 | 0.887 |
| 63 | 6.483 | 0.504 | 0.888 |
| 64 | 6.428 | 0.506 | 0.888 |
| 65 | 6.424 | 0.507 | 0.889 |
| 66 | 6.412 | 0.508 | 0.889 |
| 67 | 6.388 | 0.507 | 0.889 |
| 68 | 6.342 | 0.509 | 0.890 |
| 69 | 6.309 | 0.510 | 0.891 |
| 70 | 6.300 | 0.510 | 0.891 |
| 71 | 6.279 | 0.512 | 0.892 |
| 72 | 6.258 | 0.510 | 0.892 |
| 73 | 6.242 | 0.513 | 0.892 |
| 74 | 6.206 | 0.514 | 0.893 |
| 75 | 6.189 | 0.516 | 0.893 |
| 76 | 6.164 | 0.517 | 0.894 |
| 77 | 6.134 | 0.517 | 0.894 |
| 78 | 6.120 | 0.517 | 0.894 |
| 79 | 6.081 | 0.520 | 0.895 |
| 80 | 6.090 | 0.518 | 0.895 |
| 81 | 6.052 | 0.521 | 0.896 |
| 82 | 6.028 | 0.521 | 0.896 |
| 83 | 5.991 | 0.521 | 0.897 |
| 84 | 5.974 | 0.524 | 0.897 |
| 85 | 5.964 | 0.524 | 0.897 |
| 86 | 5.951 | 0.524 | 0.897 |
| 87 | 5.940 | 0.524 | 0.898 |
| 88 | 5.891 | 0.525 | 0.899 |
| 89 | 5.870 | 0.526 | 0.899 |
| 90 | 5.856 | 0.528 | 0.899 |
| 91 | 5.831 | 0.528 | 0.900 |
| 92 | 5.808 | 0.529 | 0.900 |
| 93 | 5.796 | 0.529 | 0.900 |
| 94 | 5.770 | 0.530 | 0.901 |
| 95 | 5.763 | 0.529 | 0.901 |
| 96 | 5.749 | 0.530 | 0.901 |
| 97 | 5.742 | 0.530 | 0.901 |
| 98 | 5.705 | 0.531 | 0.902 |
| 99 | 5.694 | 0.533 | 0.902 |
| 100 | 5.671 | 0.534 | 0.903 |
Model Plot
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