---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
base_model: openai/whisper-tiny
model-index:
- name: whisper-tiny-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-tiny-finetuned-gtzan

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the GTZAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4916
- Accuracy: 0.91

## 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: 16
- eval_batch_size: 16
- 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1202        | 1.0   | 57   | 2.0148          | 0.49     |
| 1.4611        | 2.0   | 114  | 1.3965          | 0.62     |
| 0.9725        | 3.0   | 171  | 0.8726          | 0.82     |
| 0.4971        | 4.0   | 228  | 0.7578          | 0.76     |
| 0.2255        | 5.0   | 285  | 0.7502          | 0.74     |
| 0.2803        | 6.0   | 342  | 0.5457          | 0.84     |
| 0.2234        | 7.0   | 399  | 0.7014          | 0.8      |
| 0.0845        | 8.0   | 456  | 0.4250          | 0.89     |
| 0.0395        | 9.0   | 513  | 0.5069          | 0.9      |
| 0.0438        | 10.0  | 570  | 0.4916          | 0.91     |
| 0.0442        | 11.0  | 627  | 0.7312          | 0.86     |
| 0.002         | 12.0  | 684  | 0.4753          | 0.9      |
| 0.0769        | 13.0  | 741  | 0.8024          | 0.86     |
| 0.0015        | 14.0  | 798  | 0.6354          | 0.9      |
| 0.001         | 15.0  | 855  | 0.5665          | 0.91     |
| 0.0008        | 16.0  | 912  | 0.5537          | 0.9      |
| 0.0009        | 17.0  | 969  | 0.6251          | 0.88     |
| 0.0007        | 18.0  | 1026 | 0.6641          | 0.9      |
| 0.0006        | 19.0  | 1083 | 0.5746          | 0.9      |
| 0.0006        | 20.0  | 1140 | 0.5893          | 0.9      |
| 0.0006        | 21.0  | 1197 | 0.5636          | 0.91     |
| 0.0005        | 22.0  | 1254 | 0.5785          | 0.91     |
| 0.0118        | 23.0  | 1311 | 0.5674          | 0.91     |
| 0.0005        | 24.0  | 1368 | 0.5915          | 0.91     |
| 0.0585        | 25.0  | 1425 | 0.5690          | 0.91     |
| 0.0004        | 26.0  | 1482 | 0.6043          | 0.9      |
| 0.008         | 27.0  | 1539 | 0.5911          | 0.91     |
| 0.0208        | 28.0  | 1596 | 0.5973          | 0.91     |
| 0.0004        | 29.0  | 1653 | 0.6009          | 0.91     |
| 0.0004        | 30.0  | 1710 | 0.6035          | 0.91     |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.13.1
- Tokenizers 0.13.3