music_genres_classification-finetuned-gtzan
This model is a fine-tuned version of dima806/music_genres_classification on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.6057
- Accuracy: 0.86
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: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.6174 | 1.0 | 45 | 0.6562 | 0.82 |
0.8024 | 2.0 | 90 | 0.5868 | 0.87 |
0.2218 | 3.0 | 135 | 0.6144 | 0.85 |
0.2787 | 4.0 | 180 | 1.0477 | 0.81 |
0.1557 | 5.0 | 225 | 0.6132 | 0.84 |
0.4533 | 6.0 | 270 | 0.5716 | 0.87 |
0.4026 | 7.0 | 315 | 0.6503 | 0.86 |
0.2361 | 8.0 | 360 | 0.6456 | 0.87 |
0.2284 | 9.0 | 405 | 0.7267 | 0.85 |
0.1117 | 10.0 | 450 | 0.6057 | 0.86 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Downloads last month
- 29
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for atuaans/music_genres_classification-finetuned-gtzan
Base model
facebook/wav2vec2-base-960h
Finetuned
dima806/music_genres_classification