---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: whisper-small-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. -->

# whisper-small-finetuned-gtzan

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the GTZAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4130
- Accuracy: 0.92

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3174        | 1.0   | 45   | 1.1768          | 0.61     |
| 0.687         | 2.0   | 90   | 0.7042          | 0.8      |
| 0.4524        | 3.0   | 135  | 0.4748          | 0.85     |
| 0.197         | 4.0   | 180  | 0.4230          | 0.89     |
| 0.2199        | 5.0   | 225  | 0.4980          | 0.88     |
| 0.113         | 6.0   | 270  | 0.3381          | 0.91     |
| 0.0054        | 7.0   | 315  | 0.3697          | 0.92     |
| 0.004         | 8.0   | 360  | 0.2930          | 0.94     |
| 0.0632        | 9.0   | 405  | 0.4574          | 0.92     |
| 0.0029        | 10.0  | 450  | 0.4130          | 0.92     |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.13.1
- Tokenizers 0.13.3