---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
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: 0.4342
- Accuracy: 0.87

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7087        | 0.99  | 56   | 1.6682          | 0.53     |
| 1.0139        | 2.0   | 113  | 1.1272          | 0.64     |
| 0.8057        | 2.99  | 169  | 0.7579          | 0.79     |
| 0.393         | 4.0   | 226  | 0.5791          | 0.86     |
| 0.3414        | 4.99  | 282  | 0.5055          | 0.86     |
| 0.1083        | 6.0   | 339  | 0.4109          | 0.9      |
| 0.0783        | 6.99  | 395  | 0.4297          | 0.87     |
| 0.0998        | 8.0   | 452  | 0.4627          | 0.87     |
| 0.0119        | 8.99  | 508  | 0.4410          | 0.87     |
| 0.0095        | 9.91  | 560  | 0.4342          | 0.87     |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3