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240615-wav2vec2-ASR-English

Automatic Speech Recognition
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wav2vec2
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metadata
base_model: facebook/wav2vec2-base
license: apache-2.0
metrics:
  - wer
tags:
  - generated_from_trainer
model-index:
  - name: 240615-wav2vec2-ASR-English
    results: []

240615-wav2vec2-ASR-English

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

  • Loss: 0.9291
  • Wer: 0.1578

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: 5
  • 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: 500
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
No log 6.25 100 0.8718 0.1610
No log 12.5 200 0.9291 0.1578
No log 18.75 300 0.8387 0.1755
No log 25.0 400 0.8754 0.1675

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1