| --- |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - minds14 |
| metrics: |
| - accuracy |
| model-index: |
| - name: audio_classification_example |
| 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: 0.07079646017699115 |
| --- |
| |
| <!-- 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_classification_example |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.6501 |
| - Accuracy: 0.0708 |
|
|
| ## 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: 3e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 2.6446 | 0.99 | 28 | 2.6533 | 0.0708 | |
| | 2.6501 | 1.98 | 56 | 2.6360 | 0.0442 | |
| | 2.6415 | 2.97 | 84 | 2.6452 | 0.0708 | |
| | 2.6469 | 4.0 | 113 | 2.6508 | 0.0708 | |
| | 2.6372 | 4.99 | 141 | 2.6463 | 0.0708 | |
| | 2.6364 | 5.98 | 169 | 2.6467 | 0.0708 | |
| | 2.6279 | 6.97 | 197 | 2.6497 | 0.0708 | |
| | 2.6331 | 8.0 | 226 | 2.6510 | 0.0708 | |
| | 2.6312 | 8.99 | 254 | 2.6504 | 0.0708 | |
| | 2.6214 | 9.91 | 280 | 2.6501 | 0.0708 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.36.2 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
|
|
