wav2vec2 / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
base_model: facebook/wav2vec2-base
metrics:
  - wer
model-index:
  - name: wav2vec2
    results: []

wav2vec2

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: 1.4145
  • Wer: 0.4598

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: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss Wer
4.245 9.26 500 2.9303 0.9871
2.5133 18.52 1000 1.3210 0.6705
0.6779 27.78 1500 1.2663 0.4949
0.3209 37.04 2000 1.3584 0.4872
0.19 46.3 2500 1.4145 0.4598

Framework versions

  • Transformers 4.39.2
  • Pytorch 1.12.1+cu116
  • Datasets 2.18.0
  • Tokenizers 0.15.2