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metadata
license: apache-2.0
base_model: ntu-spml/distilhubert
tags:
  - generated_from_trainer
datasets:
  - gtzan
model-index:
  - name: ft-hubert-on-gtzan
    results: []

ft-hubert-on-gtzan

This model is a fine-tuned version of ntu-spml/distilhubert on the gtzan dataset.

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: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 100
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 100 1.9297 0.415

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.2