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luganda_wav2vec2_ctc_train_clean
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metadata
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
  - generated_from_trainer
datasets:
  - common_voice_7_0
metrics:
  - wer
model-index:
  - name: luganda_wav2vec2_ctc_train_clean
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: common_voice_7_0
          type: common_voice_7_0
          config: lg
          split: None
          args: lg
        metrics:
          - name: Wer
            type: wer
            value: 0.4156354350815164

luganda_wav2vec2_ctc_train_clean

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_7_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2835
  • Wer: 0.4156

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: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
5.8861 2.4 500 3.1284 1.0
2.0448 4.81 1000 0.5439 0.7131
0.6342 7.21 1500 0.3713 0.5556
0.4907 9.62 2000 0.3464 0.5015
0.4242 12.02 2500 0.3122 0.4746
0.3898 14.42 3000 0.3164 0.4634
0.357 16.83 3500 0.2896 0.4416
0.3338 19.23 4000 0.2880 0.4409
0.3223 21.63 4500 0.2841 0.4287
0.3072 24.04 5000 0.2849 0.4250
0.2974 26.44 5500 0.2829 0.4194
0.2878 28.85 6000 0.2835 0.4156

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.2