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wav2vec2-base-checkpoint-13

This model is a fine-tuned version of jiobiala24/wav2vec2-base-checkpoint-12 on the common_voice dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1804
  • Wer: 0.3809

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
0.2688 1.92 1000 0.6518 0.3692
0.1944 3.85 2000 0.7188 0.3808
0.1503 5.77 3000 0.7552 0.3853
0.1218 7.69 4000 0.8155 0.3834
0.1024 9.62 5000 0.8867 0.3779
0.0874 11.54 6000 0.8917 0.3866
0.0775 13.46 7000 1.0320 0.4019
0.0712 15.38 8000 1.0110 0.3922
0.0656 17.31 9000 1.0494 0.3885
0.0578 19.23 10000 1.1054 0.3883
0.053 21.15 11000 1.1285 0.3938
0.0496 23.08 12000 1.1358 0.3884
0.0459 25.0 13000 1.2062 0.3904
0.0445 26.92 14000 1.1811 0.3830
0.0414 28.85 15000 1.1804 0.3809

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu111
  • Datasets 1.13.3
  • Tokenizers 0.10.3
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Dataset used to train jiobiala24/wav2vec2-base-checkpoint-13