| --- |
| license: apache-2.0 |
| base_model: juniorjukeko/audio-class-minds14 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - minds14 |
| metrics: |
| - accuracy |
| model-index: |
| - name: audio-class-minds14 |
| results: |
| - task: |
| name: Audio Classification |
| type: audio-classification |
| dataset: |
| name: minds14 |
| type: minds14 |
| config: en-US |
| split: train |
| args: en-US |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.08849557522123894 |
| --- |
| |
| <!-- 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. --> |
|
|
| # audio-class-minds14 |
|
|
| This model is a fine-tuned version of [juniorjukeko/audio-class-minds14](https://huggingface.co/juniorjukeko/audio-class-minds14) on the minds14 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.6380 |
| - Accuracy: 0.0885 |
|
|
| ## 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: 0.0005 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 143 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 0.8 | 3 | 2.6452 | 0.0796 | |
| | No log | 1.87 | 7 | 2.6469 | 0.0796 | |
| | 2.643 | 2.93 | 11 | 2.6449 | 0.0708 | |
| | 2.643 | 4.0 | 15 | 2.6426 | 0.0708 | |
| | 2.643 | 4.8 | 18 | 2.6429 | 0.0708 | |
| | 2.649 | 5.87 | 22 | 2.6413 | 0.0885 | |
| | 2.649 | 6.93 | 26 | 2.6388 | 0.0885 | |
| | 2.6382 | 8.0 | 30 | 2.6380 | 0.0885 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.33.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
|
|
