---
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: 0.5033
- Accuracy: 0.89

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7719        | 1.0   | 112  | 1.0881          | 0.65     |
| 0.3801        | 2.0   | 225  | 0.8942          | 0.7      |
| 0.3706        | 3.0   | 337  | 0.9499          | 0.75     |
| 0.3541        | 4.0   | 450  | 0.5243          | 0.87     |
| 0.0132        | 5.0   | 562  | 0.5716          | 0.81     |
| 0.0221        | 6.0   | 675  | 0.5164          | 0.87     |
| 0.0001        | 7.0   | 787  | 0.4789          | 0.91     |
| 0.0002        | 8.0   | 900  | 0.5062          | 0.87     |
| 0.0528        | 9.0   | 1012 | 0.5029          | 0.89     |
| 0.0002        | 9.96  | 1120 | 0.5033          | 0.89     |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2