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

This model is a fine-tuned version of [ditwoo/whisper-tiny-finetuned-gtzan](https://huggingface.co/ditwoo/whisper-tiny-finetuned-gtzan) on the GTZAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7520
- Accuracy: 0.9

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2831        | 1.0   | 113  | 1.6496          | 0.74     |
| 0.6095        | 2.0   | 226  | 1.0397          | 0.77     |
| 0.0629        | 3.0   | 339  | 0.8188          | 0.86     |
| 0.0006        | 4.0   | 452  | 0.7378          | 0.88     |
| 0.0123        | 5.0   | 565  | 0.7285          | 0.9      |
| 0.0002        | 6.0   | 678  | 0.9172          | 0.86     |
| 0.0002        | 7.0   | 791  | 0.8244          | 0.89     |
| 0.0002        | 8.0   | 904  | 0.7630          | 0.9      |
| 0.169         | 9.0   | 1017 | 0.7572          | 0.89     |
| 0.0002        | 10.0  | 1130 | 0.7520          | 0.9      |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3