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# distilhubert-finetuned-gtzan

This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7207
- Accuracy: 0.85

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0917        | 1.0   | 113  | 1.9773          | 0.48     |
| 1.3655        | 2.0   | 226  | 1.3419          | 0.62     |
| 0.9901        | 3.0   | 339  | 0.9640          | 0.75     |
| 0.8565        | 4.0   | 452  | 0.7732          | 0.81     |
| 0.6259        | 5.0   | 565  | 0.7502          | 0.8      |
| 0.4507        | 6.0   | 678  | 0.6888          | 0.81     |
| 0.4018        | 7.0   | 791  | 0.7404          | 0.8      |
| 0.1275        | 8.0   | 904  | 0.6718          | 0.83     |
| 0.1077        | 9.0   | 1017 | 0.6175          | 0.86     |
| 0.028         | 10.0  | 1130 | 0.6317          | 0.86     |
| 0.0867        | 11.0  | 1243 | 0.6053          | 0.88     |
| 0.0149        | 12.0  | 1356 | 0.7164          | 0.85     |
| 0.0108        | 13.0  | 1469 | 0.7224          | 0.85     |
| 0.0101        | 14.0  | 1582 | 0.7101          | 0.84     |
| 0.0096        | 15.0  | 1695 | 0.7207          | 0.85     |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "GTZAN", "type": "marsyas/gtzan", "config": "all", "split": "train", "args": "all"}, "metrics": [{"type": "accuracy", "value": 0.85, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors hubert audio-classification generated_from_trainer dataset:marsyas/gtzan base_model:ntu-spml/distilhubert license:apache-2.0 model-index endpoints_compatible region:us