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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: wav2vec2-base-demo-colab
    results: []

wav2vec2-base-demo-colab

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3944
  • Wer: 0.3142

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
3.4086 3.45 500 1.1494 0.8509
0.5968 6.9 1000 0.4306 0.4169
0.2363 10.34 1500 0.3820 0.3669
0.1365 13.79 2000 0.3863 0.3487
0.0916 17.24 2500 0.3851 0.3391
0.0704 20.69 3000 0.3759 0.3271
0.0537 24.14 3500 0.3747 0.3222
0.0413 27.59 4000 0.3944 0.3142

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.11.0+cu113
  • Datasets 1.14.0
  • Tokenizers 0.10.3