arieg/fma_genre_classifier

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.2507
• Validation Loss: 1.5488
• Train Accuracy: 0.4275
• Epoch: 4

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 32000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
1.7655	1.6490	0.4525	0
1.5913	1.5925	0.4325	1
1.4669	1.5805	0.4125	2
1.3545	1.5728	0.405	3
1.2507	1.5488	0.4275	4

Framework versions

• Transformers 4.34.1
• TensorFlow 2.14.0
• Datasets 2.14.6
• Tokenizers 0.14.1