---
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: 0.6950
- Accuracy: 0.8866

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6859        | 1.0   | 525  | 0.6151          | 0.7998   |
| 0.4314        | 2.0   | 1050 | 0.6598          | 0.7957   |
| 0.2708        | 3.0   | 1575 | 0.5466          | 0.8499   |
| 0.3121        | 4.0   | 2100 | 0.6376          | 0.8532   |
| 0.0027        | 5.0   | 2625 | 0.7428          | 0.8590   |
| 0.0036        | 6.0   | 3150 | 0.7249          | 0.8716   |
| 0.0007        | 7.0   | 3675 | 0.7227          | 0.8791   |
| 0.0001        | 8.0   | 4200 | 0.6902          | 0.8857   |
| 0.0001        | 9.0   | 4725 | 0.6917          | 0.8891   |
| 0.0001        | 10.0  | 5250 | 0.6950          | 0.8866   |


### Framework versions

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