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---
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: 0.4729
- 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3715 | 1.0 | 113 | 1.4223 | 0.54 |
| 0.7501 | 2.0 | 226 | 0.9413 | 0.68 |
| 0.4905 | 3.0 | 339 | 0.5492 | 0.83 |
| 0.2978 | 4.0 | 452 | 0.5916 | 0.84 |
| 0.0827 | 5.0 | 565 | 0.4177 | 0.89 |
| 0.0092 | 6.0 | 678 | 0.5321 | 0.89 |
| 0.1034 | 7.0 | 791 | 0.5262 | 0.9 |
| 0.0759 | 8.0 | 904 | 0.4905 | 0.91 |
| 0.1642 | 9.0 | 1017 | 0.4705 | 0.91 |
| 0.0022 | 10.0 | 1130 | 0.4729 | 0.91 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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