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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - filipino_voice
model-index:
  - name: english-filipino-wav2vec2-l-xls-r-test-06
    results: []

english-filipino-wav2vec2-l-xls-r-test-06

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the filipino_voice dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5806
  • Wer: 0.6568

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: 0.002
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • 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
3.0031 2.09 400 1.2366 0.8780
0.9084 4.19 800 1.0653 0.8081
0.6484 6.28 1200 1.1648 0.8258
0.5335 8.38 1600 1.0903 0.7542
0.4359 10.47 2000 0.9466 0.7058
0.3629 12.57 2400 0.9266 0.7048
0.3057 14.66 2800 1.0879 0.7018
0.2477 16.75 3200 1.1113 0.7022
0.208 18.85 3600 1.1345 0.6742
0.1781 20.94 4000 1.3117 0.6974
0.1465 23.04 4400 1.3248 0.6916
0.1288 25.13 4800 1.4306 0.6523
0.1108 27.23 5200 1.5155 0.6685
0.099 29.32 5600 1.5806 0.6568

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu113
  • Datasets 1.18.3
  • Tokenizers 0.10.3