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wav2vec-large-xls-r-300-ha-colab_4

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
generated_from_trainer
Inference Endpoints
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice_10_0
model-index:
  - name: wav2vec-large-xls-r-300-ha-colab_4
    results: []

wav2vec-large-xls-r-300-ha-colab_4

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_10_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8545
  • Wer: 0.5860

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
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
3.8309 5.19 400 0.9834 0.8145
0.3782 10.39 800 0.7377 0.6526
0.1718 15.58 1200 0.7885 0.6293
0.1017 20.77 1600 0.9308 0.6115
0.0664 25.97 2000 0.8545 0.5860

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.10.3