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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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