---
library_name: transformers
license: apache-2.0
base_model: ntu-spml/distilhubert
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: distilhubert-finetuned-gtzan
  results:
  - task:
      name: Audio Classification
      type: audio-classification
    dataset:
      name: GTZAN
      type: marsyas/gtzan
      config: all
      split: train
      args: all
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.1
---

<!-- 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:
- Loss: nan
- Accuracy: 0.1

## 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: 0.0001
- 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: 0.2
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0           | 1.0   | 113  | nan             | 0.1      |
| 0.0           | 2.0   | 226  | nan             | 0.1      |
| 0.0           | 3.0   | 339  | nan             | 0.1      |
| 0.0           | 4.0   | 452  | nan             | 0.1      |
| 0.0           | 5.0   | 565  | nan             | 0.1      |
| 0.0           | 6.0   | 678  | nan             | 0.1      |
| 0.0           | 7.0   | 791  | nan             | 0.1      |
| 0.0           | 8.0   | 904  | nan             | 0.1      |
| 0.0           | 9.0   | 1017 | nan             | 0.1      |
| 0.0           | 10.0  | 1130 | nan             | 0.1      |
| 0.0           | 11.0  | 1243 | nan             | 0.1      |
| 0.0           | 12.0  | 1356 | nan             | 0.1      |
| 0.0           | 13.0  | 1469 | nan             | 0.1      |
| 0.0           | 14.0  | 1582 | nan             | 0.1      |
| 0.0           | 15.0  | 1695 | nan             | 0.1      |
| 0.0           | 16.0  | 1808 | nan             | 0.1      |
| 0.0           | 17.0  | 1921 | nan             | 0.1      |
| 0.0           | 18.0  | 2034 | nan             | 0.1      |
| 0.0           | 19.0  | 2147 | nan             | 0.1      |
| 0.0           | 20.0  | 2260 | nan             | 0.1      |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1