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

wav2vec2-base-dataset_asr-demo-colab

This model is a fine-tuned version of ntu-spml/distilhubert on the superb dataset. It achieves the following results on the evaluation set:

  • Loss: 295.0834
  • Wer: 0.8282

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: 0.001
  • 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: 250
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
5638.536 1.6 500 409.4785 0.8556
2258.6455 3.19 1000 326.0520 0.8369
1389.4919 4.79 1500 295.0834 0.8282

Framework versions

  • Transformers 4.20.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1