---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: hubert-large-ll60k-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. -->

# hubert-large-ll60k-finetuned-gtzan

This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) 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: 8e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- 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: 18

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2369        | 1.0   | 112  | 2.1698          | 0.32     |
| 1.9093        | 2.0   | 225  | 1.7851          | 0.34     |
| 1.5339        | 3.0   | 337  | 1.4068          | 0.46     |
| 1.4127        | 4.0   | 450  | 1.2916          | 0.53     |
| 0.991         | 5.0   | 562  | 1.0534          | 0.58     |
| 0.8365        | 6.0   | 675  | 0.9250          | 0.67     |
| 0.6994        | 7.0   | 787  | 1.0032          | 0.72     |
| 1.3372        | 8.0   | 900  | nan             | 0.41     |
| 4.3377        | 9.0   | 1012 | nan             | 0.29     |
| 0.0           | 10.0  | 1125 | nan             | 0.1      |
| 0.0           | 11.0  | 1237 | nan             | 0.1      |
| 0.0           | 12.0  | 1350 | nan             | 0.1      |
| 0.0           | 13.0  | 1462 | nan             | 0.1      |
| 0.0           | 14.0  | 1575 | nan             | 0.1      |
| 0.0           | 15.0  | 1687 | nan             | 0.1      |
| 0.0           | 16.0  | 1800 | nan             | 0.1      |
| 0.0           | 17.0  | 1912 | nan             | 0.1      |
| 0.0           | 17.92 | 2016 | nan             | 0.1      |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3