---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/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. -->

# openai/whisper-small-finetuned-gtzan

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the minds14 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7962
- Wer Ortho: 0.2622
- Wer: 0.2674

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss | Wer Ortho | Wer    |
|:-------------:|:--------:|:----:|:---------------:|:---------:|:------:|
| 0.0001        | 17.2414  | 500  | 0.6029          | 0.2548    | 0.2580 |
| 0.0           | 34.4828  | 1000 | 0.6568          | 0.2480    | 0.2532 |
| 0.0           | 51.7241  | 1500 | 0.6910          | 0.2498    | 0.2556 |
| 0.0           | 68.9655  | 2000 | 0.7173          | 0.2480    | 0.2538 |
| 0.0           | 86.2069  | 2500 | 0.7402          | 0.2486    | 0.2544 |
| 0.0           | 103.4483 | 3000 | 0.7624          | 0.2566    | 0.2621 |
| 0.0           | 120.6897 | 3500 | 0.7800          | 0.2640    | 0.2692 |
| 0.0           | 137.9310 | 4000 | 0.7962          | 0.2622    | 0.2674 |


### Framework versions

- Transformers 4.43.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1