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metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: w2v2-base-pretrained_lr5e-5_at0.8_da1
    results: []

w2v2-base-pretrained_lr5e-5_at0.8_da1

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: 2.3273
  • Wer: 0.1747

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: 5e-05
  • train_batch_size: 32
  • 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
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
18.3928 5.43 250 4.5566 1.0
3.4003 10.87 500 3.2320 1.0
2.9641 16.3 750 2.5134 1.0
0.9965 21.74 1000 1.2335 0.4165
0.2103 27.17 1250 1.5883 0.2012
0.1252 32.61 1500 1.5291 0.1837
0.0911 38.04 1750 1.8433 0.1901
0.0717 43.48 2000 1.9624 0.1858
0.0609 48.91 2250 1.9417 0.1781
0.0488 54.35 2500 2.0794 0.1751
0.041 59.78 2750 2.2785 0.1837
0.0357 65.22 3000 2.1884 0.1709
0.0325 70.65 3250 2.2440 0.1764
0.0286 76.09 3500 2.2743 0.1764
0.0263 81.52 3750 2.2614 0.1730
0.0256 86.96 4000 2.3273 0.1747

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.0
  • Datasets 2.14.6
  • Tokenizers 0.14.1