---
license: apache-2.0
base_model: openai/whisper-medium.en
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: whisper-medium.en-finetuned-gtzan
  results:
  - task:
      name: Audio Classification
      type: audio-classification
    dataset:
      name: GTZAN
      type: marsyas/gtzan
      config: all
      split: train
      args: all
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.95
---

<!-- 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-medium.en-finetuned-gtzan

This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the GTZAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2885
- Accuracy: 0.95

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 16
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7711        | 1.0   | 112  | 1.6556          | 0.52     |
| 0.5477        | 2.0   | 225  | 0.4738          | 0.85     |
| 0.535         | 3.0   | 337  | 0.3137          | 0.92     |
| 0.231         | 4.0   | 450  | 0.3613          | 0.9      |
| 0.1923        | 5.0   | 562  | 0.2885          | 0.95     |
| 0.0584        | 6.0   | 675  | 0.6531          | 0.86     |
| 0.1783        | 7.0   | 787  | 0.5717          | 0.9      |
| 0.0022        | 8.0   | 900  | 0.4205          | 0.91     |
| 0.1032        | 9.0   | 1012 | 0.4984          | 0.91     |
| 0.0011        | 10.0  | 1125 | 0.3778          | 0.94     |
| 0.0104        | 11.0  | 1237 | 0.3709          | 0.94     |
| 0.0011        | 12.0  | 1350 | 0.4564          | 0.92     |
| 0.0009        | 13.0  | 1462 | 0.3796          | 0.94     |
| 0.0008        | 14.0  | 1575 | 0.3880          | 0.94     |
| 0.0008        | 15.0  | 1687 | 0.3930          | 0.94     |
| 0.0008        | 15.93 | 1792 | 0.3955          | 0.94     |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0