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metadata
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Model_G_S_Berita_Wav2Vec2
    results: []

Model_G_S_Berita_Wav2Vec2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0232
  • Wer: 0.0308
  • Cer: 0.0050

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: 0.0003
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.3802 12.5 400 0.0473 0.0692 0.0105
0.0245 25.0 800 0.0232 0.0308 0.0050

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3