| | --- |
| | 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 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.2 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.13.3 |
| |
|
