---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: distil-ast-audioset-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. -->

# distil-ast-audioset-finetuned-gtzan

This model is a fine-tuned version of [bookbot/distil-ast-audioset](https://huggingface.co/bookbot/distil-ast-audioset) on the GTZAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3866
- Accuracy: 0.9

## 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: 1e-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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 0.7945        | 1.0   | 113  | 0.76     | 0.8481          |
| 0.4836        | 2.0   | 226  | 0.79     | 0.5647          |
| 0.2434        | 3.0   | 339  | 0.8      | 0.6345          |
| 0.2721        | 4.0   | 452  | 0.91     | 0.3684          |
| 0.0459        | 5.0   | 565  | 0.9      | 0.3387          |
| 0.0485        | 6.0   | 678  | 0.87     | 0.3720          |
| 0.0337        | 7.0   | 791  | 0.9      | 0.3439          |
| 0.0206        | 8.0   | 904  | 0.89     | 0.3630          |
| 0.1043        | 9.0   | 1017 | 0.89     | 0.3682          |
| 0.0146        | 10.0  | 1130 | 0.89     | 0.3552          |
| 0.0109        | 11.0  | 1243 | 0.4141   | 0.87            |
| 0.001         | 12.0  | 1356 | 0.4266   | 0.88            |
| 0.0006        | 13.0  | 1469 | 0.4001   | 0.91            |
| 0.0006        | 14.0  | 1582 | 0.3884   | 0.9             |
| 0.0008        | 15.0  | 1695 | 0.3881   | 0.91            |
| 0.0005        | 16.0  | 1808 | 0.3796   | 0.9             |
| 0.0005        | 17.0  | 1921 | 0.3865   | 0.9             |
| 0.0005        | 18.0  | 2034 | 0.3861   | 0.9             |
| 0.0003        | 19.0  | 2147 | 0.3879   | 0.9             |
| 0.0005        | 20.0  | 2260 | 0.3866   | 0.9             |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3