wav2vec2-large-xlsr-53-english-pronunciation-evaluation-dt-oversampling-augmented

• Loss: 0.8966
• Accuracy: 0.7608
• F1: 0.7592
• Precision: 0.7591
• Recall: 0.7608

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 0.0001
• train_batch_size: 8
• 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_ratio: 0.1
• num_epochs: 5

Training results

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3