---
license: apache-2.0
base_model: SeyedAli/Musical-genres-Classification-Hubert-V1
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Musical-genres-Classification-Hubert-V1-finetuned-gtzan_5sec
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Musical-genres-Classification-Hubert-V1-finetuned-gtzan_5sec

This model is a fine-tuned version of [SeyedAli/Musical-genres-Classification-Hubert-V1](https://huggingface.co/SeyedAli/Musical-genres-Classification-Hubert-V1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4037
- Accuracy: 0.9433

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4009        | 1.0   | 300  | 0.5050          | 0.8533   |
| 0.6049        | 2.0   | 600  | 0.3617          | 0.8867   |
| 0.1173        | 3.0   | 900  | 0.3947          | 0.9167   |
| 0.0613        | 4.0   | 1200 | 0.4008          | 0.92     |
| 0.0016        | 5.0   | 1500 | 0.4197          | 0.9133   |
| 0.055         | 6.0   | 1800 | 0.4103          | 0.92     |
| 0.0009        | 7.0   | 2100 | 0.4468          | 0.93     |
| 0.0003        | 8.0   | 2400 | 0.3962          | 0.95     |
| 0.0003        | 9.0   | 2700 | 0.4085          | 0.9467   |
| 0.0002        | 10.0  | 3000 | 0.4037          | 0.9433   |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1