README.md

metadata

license: apache-2.0
base_model: pedromatias97/genre-recognizer-finetuned-gtzan_dset
tags:
  - generated_from_trainer
datasets:
  - marsyas/gtzan
metrics:
  - accuracy
model-index:
  - name: genre-recognizer-finetuned-gtzan_dset_caro-finetuned-gtzan
    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: 0.95

genre-recognizer-finetuned-gtzan_dset_caro-finetuned-gtzan

This model is a fine-tuned version of pedromatias97/genre-recognizer-finetuned-gtzan_dset on the GTZAN dataset. It achieves the following results on the evaluation set:

• Loss: 0.1865
• Accuracy: 0.95

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: 9e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 39
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3175	0.9956	14	0.2027	0.93
0.1676	1.9911	28	0.1865	0.95

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1