complete_Wav2Vec2 / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: complete_Wav2Vec2
    results: []

complete_Wav2Vec2

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

  • Loss: 2.9607
  • Wer: 1.0

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: 10
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 20
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
5.0286 5.56 100 2.9607 1.0

Framework versions

  • Transformers 4.23.1
  • Pytorch 1.12.1
  • Datasets 2.4.0
  • Tokenizers 0.13.2