wav2vecvanilla / README.md
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metadata
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: wav2vecvanilla
    results: []

wav2vecvanilla

This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8028
  • Wer: 0.3041

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: 16
  • 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: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.1729 1.69 100 1.0048 0.3681
1.0722 3.39 200 0.9117 0.3511
0.9994 5.08 300 0.9302 0.3436
0.9576 6.78 400 0.8246 0.3320
0.9826 8.47 500 0.7846 0.3343
0.801 10.17 600 0.8600 0.3269
0.8174 11.86 700 0.7871 0.3186
0.7162 13.56 800 0.8164 0.3186
0.7447 15.25 900 0.8965 0.3084
0.6889 16.95 1000 0.8239 0.3057
0.6739 18.64 1100 0.8028 0.3041

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2