---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: distilhubert-finetuned-gtzan
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 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:
- Accuracy: 0.87
- Loss: 0.6300

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 1.8192        | 1.0   | 150  | 0.41     | 1.7706          |
| 1.1745        | 2.0   | 300  | 0.64     | 1.2586          |
| 0.7885        | 3.0   | 450  | 0.76     | 0.8419          |
| 0.661         | 4.0   | 600  | 0.81     | 0.7019          |
| 0.3334        | 5.0   | 750  | 0.84     | 0.5766          |
| 0.3265        | 6.0   | 900  | 0.83     | 0.5862          |
| 0.0928        | 7.0   | 1050 | 0.88     | 0.5613          |
| 0.0698        | 8.0   | 1200 | 0.86     | 0.6432          |
| 0.0562        | 9.0   | 1350 | 0.87     | 0.6141          |
| 0.0268        | 10.0  | 1500 | 0.87     | 0.6300          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3