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distilhubert-bass5

This model is a fine-tuned version of ntu-spml/distilhubert on the TheDuyx/augmented_bass_sounds dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0088
  • Accuracy: 0.9991

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: 5e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 3
  • total_train_batch_size: 192
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.138 1.0 159 0.1198 0.9827
0.0307 2.0 319 0.0194 0.9976
0.0101 2.99 477 0.0088 0.9991

Framework versions

  • Transformers 4.39.2
  • Pytorch 2.2.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Evaluation results