CoolFace
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asr-africa/mms-bambara-5-hours-mali-asr-dataset

sourceHugging Facecc-by-nc-4.0updated 2y agoView on Hugging Face
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mms-bambara-5-hours-mali-asr-dataset

This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.4671
  • —Wer: 0.5549
  • —Cer: 0.2722

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: 0.0003
  • —trainbatchsize: 8
  • —evalbatchsize: 16
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 50

Training results

Training LossEpochStepValidation LossWerCer
1.74421.72415001.50160.80740.3917
1.23773.448310001.43590.70900.3303
1.06485.172415001.61440.69350.3324
0.96776.896620001.50160.66960.3195
0.86078.620725001.54320.64920.3165
0.766310.344830001.71230.65220.3164
0.690612.069035001.75160.62080.3015
0.602513.793140001.72370.61870.3121
0.537915.517245001.83630.63100.3129
0.477217.241450001.87130.58940.2843
0.426718.965555002.01410.59620.2915
0.375920.689760002.09880.58820.2848
0.340422.413865002.26430.58260.2869
0.304224.137970002.43840.57330.2812
0.282525.862175002.31030.57180.2844
0.254327.586280002.17980.57240.2880
0.2329.310385002.58920.57140.2843
0.214731.034590002.66670.57220.2822
0.191432.758695002.73950.57480.2812
0.179434.4828100002.88720.58020.2847
0.167536.2069105002.70690.56900.2827
0.149337.9310110002.81340.57050.2840
0.138639.6552115003.06830.56150.2771
0.123741.3793120003.22120.55670.2753
0.11743.1034125003.21280.55930.2703
0.108244.8276130003.20660.55620.2732
0.097846.5517135003.40420.55510.2720
0.092748.2759140003.44100.55410.2723
0.091550.0145003.46710.55490.2722

Framework versions

  • —Transformers 4.45.1
  • —Pytorch 2.1.0+cu118
  • —Datasets 2.17.0
  • —Tokenizers 0.20.3