| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - marsyas/gtzan |
| metrics: |
| - accuracy |
| model-index: |
| - name: distilhubert-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: 0.905 |
| --- |
| |
| <!-- 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. --> |
|
|
| # distilhubert-finetuned-gtzan |
|
|
| This model is a fine-tuned version of [NemesisAlm/distilhubert-finetuned-gtzan](https://huggingface.co/NemesisAlm/distilhubert-finetuned-gtzan) on the GTZAN dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7322 |
| - Accuracy: 0.905 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.0002 | 1.0 | 100 | 0.5783 | 0.915 | |
| | 0.1984 | 2.0 | 200 | 0.7051 | 0.91 | |
| | 0.0518 | 3.0 | 300 | 1.0287 | 0.865 | |
| | 0.0039 | 4.0 | 400 | 0.7660 | 0.895 | |
| | 0.0001 | 5.0 | 500 | 0.7513 | 0.91 | |
| | 0.0001 | 6.0 | 600 | 0.7757 | 0.9 | |
| | 0.0002 | 7.0 | 700 | 0.9340 | 0.87 | |
| | 0.0001 | 8.0 | 800 | 0.7237 | 0.9 | |
| | 0.0001 | 9.0 | 900 | 0.7298 | 0.905 | |
| | 0.0001 | 10.0 | 1000 | 0.7322 | 0.905 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.31.0.dev0 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.13.1 |
| - Tokenizers 0.13.3 |
| |
