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
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Model tree for carolinaallende/genre-recognizer-finetuned-gtzan_dset-finetuned-gtzan
Base model
ntu-spml/distilhubert