dmusingu / muk-luganda-digits-classification

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Total runs: 25
24-hour runs: 0
7-day runs: 21
30-day runs: 21
Model's Last Updated: October 22 2025
audio-classification

Introduction of muk-luganda-digits-classification

Model Details of muk-luganda-digits-classification

muk-luganda-digits-classification

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 5.1901
  • Accuracy: 0.2414
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:

  • learning_rate: 3e-05
  • train_batch_size: 4
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 75
Training results
Training Loss Epoch Step Validation Loss Accuracy
2.304 1.0 58 2.3169 0.1034
2.2989 2.0 116 2.3166 0.0690
2.2921 3.0 174 2.3167 0.1379
2.2843 4.0 232 2.3237 0.1034
2.2657 5.0 290 2.3195 0.0690
2.2519 6.0 348 2.2997 0.1034
2.2187 7.0 406 2.3050 0.1034
2.15 8.0 464 2.2577 0.1034
2.0555 9.0 522 2.2375 0.1379
1.9332 10.0 580 2.2008 0.2414
1.8073 11.0 638 2.1950 0.1724
1.6742 12.0 696 2.2654 0.1724
1.5511 13.0 754 2.1905 0.1724
1.4453 14.0 812 2.2018 0.2069
1.3227 15.0 870 2.1572 0.2759
1.2019 16.0 928 2.4037 0.2414
1.1151 17.0 986 2.4147 0.3103
0.9743 18.0 1044 2.3563 0.2759
0.9336 19.0 1102 2.2765 0.3103
0.852 20.0 1160 2.3266 0.3448
0.7096 21.0 1218 2.2129 0.4138
0.6183 22.0 1276 2.4103 0.3103
0.6018 23.0 1334 2.8189 0.2759
0.5155 24.0 1392 2.9791 0.2759
0.4233 25.0 1450 2.9289 0.3103
0.4213 26.0 1508 3.2987 0.2759
0.4613 27.0 1566 3.1643 0.3103
0.4414 28.0 1624 2.9910 0.3448
0.4033 29.0 1682 3.2960 0.3103
0.3761 30.0 1740 3.5232 0.2759
0.2886 31.0 1798 3.9775 0.2414
0.3646 32.0 1856 3.4826 0.3103
0.3371 33.0 1914 3.5032 0.3793
0.2169 34.0 1972 3.4125 0.3448
0.2906 35.0 2030 3.3535 0.3793
0.414 36.0 2088 3.7734 0.2069
0.2058 37.0 2146 3.7419 0.2759
0.188 38.0 2204 3.7832 0.3103
0.2209 39.0 2262 3.6297 0.2414
0.2403 40.0 2320 3.7870 0.3103
0.2483 41.0 2378 3.9331 0.3448
0.2409 42.0 2436 4.1382 0.3103
0.2415 43.0 2494 4.1796 0.2759
0.1496 44.0 2552 4.1671 0.3448
0.1874 45.0 2610 4.5372 0.2069
0.2092 46.0 2668 4.8994 0.2414
0.2016 47.0 2726 4.4871 0.2414
0.259 48.0 2784 4.1237 0.2759
0.2078 49.0 2842 4.9369 0.2414
0.1413 50.0 2900 4.9249 0.2414
0.1453 51.0 2958 5.1858 0.2414
0.1963 52.0 3016 3.9934 0.3103
0.2249 53.0 3074 4.2996 0.3103
0.2058 54.0 3132 3.7626 0.3448
0.2483 55.0 3190 4.6947 0.2759
0.209 56.0 3248 4.0701 0.3793
0.144 57.0 3306 4.5588 0.2414
0.2093 58.0 3364 4.9072 0.3103
0.143 59.0 3422 5.1035 0.2414
0.2102 60.0 3480 5.3840 0.2069
0.1507 61.0 3538 5.3511 0.2414
0.1826 62.0 3596 5.0179 0.2069
0.1407 63.0 3654 5.2103 0.1724
0.1395 64.0 3712 5.4675 0.2069
0.1683 65.0 3770 5.3124 0.2414
0.1761 66.0 3828 4.8748 0.2414
0.1868 67.0 3886 4.9547 0.2414
0.2524 68.0 3944 4.9069 0.2759
0.1367 69.0 4002 4.8562 0.2414
0.1368 70.0 4060 4.9808 0.2414
0.1841 71.0 4118 5.1471 0.2414
0.1658 72.0 4176 5.1741 0.2414
0.1553 73.0 4234 5.2040 0.2414
0.1625 74.0 4292 5.1895 0.2414
0.1823 75.0 4350 5.1901 0.2414
Framework versions
  • Transformers 4.56.2
  • Pytorch 2.8.0+cu128
  • Datasets 3.6.0
  • Tokenizers 0.22.1

Runs of dmusingu muk-luganda-digits-classification on huggingface.co

25
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22
3-day runs
21
7-day runs
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