README.md

metadata

license: apache-2.0
base_model: sanchit-gandhi/distilhubert-finetuned-gtzan-5-epochs
tags:
  - generated_from_trainer
datasets:
  - marsyas/gtzan
metrics:
  - accuracy
model-index:
  - name: distilhubert-finetuned-gtzan-5-epochs-finetuned-gtzan-QUIZ
    results:
      - task:
          name: Audio Classification
          type: audio-classification
        dataset:
          name: GTZAN
          type: marsyas/gtzan
          config: all
          split: train
          args: all
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8

distilhubert-finetuned-gtzan-5-epochs-finetuned-gtzan-QUIZ

This model is a fine-tuned version of sanchit-gandhi/distilhubert-finetuned-gtzan-5-epochs on the GTZAN dataset. It achieves the following results on the evaluation set:

• Loss: 0.6688
• Accuracy: 0.8

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7322	1.0	57	0.7652	0.79
0.5307	2.0	114	0.6521	0.83
0.4953	3.0	171	0.6688	0.8

Framework versions

• Transformers 4.42.3
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1