models / README.md
holmes26's picture
holmes26/fluent-noisy-wav2vec
be57eef verified
metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: models
    results: []

models

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: 0.0169
  • Wer: 0.2673

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: 8
  • 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: 1000
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
4.6087 1.26 500 3.0092 1.0
2.1293 2.53 1000 0.4565 0.6872
0.443 3.79 1500 0.1887 0.3995
0.2368 5.05 2000 0.0564 0.3034
0.1775 6.31 2500 0.0398 0.2964
0.132 7.58 3000 0.0574 0.2895
0.1176 8.84 3500 0.0298 0.2749
0.1023 10.1 4000 0.0243 0.2708
0.0833 11.36 4500 0.0235 0.2796
0.0668 12.63 5000 0.0160 0.2714
0.0559 13.89 5500 0.0264 0.2749
0.0414 15.15 6000 0.0157 0.2673
0.0388 16.41 6500 0.0231 0.2772
0.0313 17.68 7000 0.0168 0.2667
0.0286 18.94 7500 0.0169 0.2673

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2