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metadata
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Model_P_Wav2Vec2_Versi2
    results: []

Model_P_Wav2Vec2_Versi2

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7372
  • Wer: 0.5827
  • Cer: 0.2585

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
3.6262 3.49 400 2.1100 0.9084 0.3800
0.6747 6.99 800 2.2525 0.7047 0.2942
0.4115 10.48 1200 2.2371 0.6452 0.2875
0.2946 13.97 1600 2.4240 0.6279 0.2705
0.2252 17.47 2000 2.5509 0.6429 0.2759
0.1822 20.96 2400 2.4377 0.6095 0.2692
0.1318 24.45 2800 2.6908 0.5807 0.2549
0.1001 27.95 3200 2.7372 0.5827 0.2585

Framework versions

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