---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: hubert-large-ls960-ft-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-ls960-ft-finetuned-gtzan

This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on the GTZAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8531
- Accuracy: 0.78

## 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: 2e-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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.279         | 1.0   | 112  | 2.2924          | 0.08     |
| 2.0905        | 2.0   | 225  | 2.0931          | 0.31     |
| 1.7503        | 3.0   | 337  | 1.6857          | 0.46     |
| 1.7021        | 4.0   | 450  | 1.5041          | 0.54     |
| 1.3693        | 5.0   | 562  | 1.4453          | 0.53     |
| 1.1515        | 6.0   | 675  | 1.2720          | 0.62     |
| 1.0195        | 7.0   | 787  | 1.2036          | 0.61     |
| 0.8957        | 8.0   | 900  | 1.1265          | 0.62     |
| 0.9654        | 9.0   | 1012 | 1.0117          | 0.68     |
| 1.0166        | 10.0  | 1125 | 0.9691          | 0.68     |
| 0.8868        | 11.0  | 1237 | 1.0249          | 0.69     |
| 0.8822        | 12.0  | 1350 | 0.9859          | 0.69     |
| 0.808         | 13.0  | 1462 | 0.8248          | 0.75     |
| 0.7107        | 14.0  | 1575 | 0.9660          | 0.71     |
| 0.7964        | 15.0  | 1687 | 0.8939          | 0.73     |
| 0.69          | 16.0  | 1800 | 0.8490          | 0.75     |
| 0.4321        | 17.0  | 1912 | 0.8282          | 0.77     |
| 0.4942        | 18.0  | 2025 | 0.8220          | 0.78     |
| 0.4275        | 19.0  | 2137 | 0.8435          | 0.79     |
| 0.4661        | 19.91 | 2240 | 0.8531          | 0.78     |


### Framework versions

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