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tristayqc/my_jp_asr_cv13_model

🤗 Hugging Face 来源automatic-speech-recognitionapache-2.0318M 参数1.3 GBsafetensors✓ 4 个校验和今天更新
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my_jp_asr_cv13_model

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-japanese on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 3.1772
  • Cer: 0.3512
  • Wer: 0.875

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: 1e-05
  • 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
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer Wer
0.16 250.0 1000 3.1440 0.3223 0.875
0.1061 500.0 2000 3.1772 0.3512 0.875

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1