| --- |
| license: apache-2.0 |
| base_model: facebook/hubert-large-ll60k |
| tags: |
| - audio-classification |
| - generated_from_trainer |
| datasets: |
| - superb |
| metrics: |
| - accuracy |
| model-index: |
| - name: superb_ks_42 |
| results: |
| - task: |
| name: Audio Classification |
| type: audio-classification |
| dataset: |
| name: superb |
| type: superb |
| config: ks |
| split: validation |
| args: ks |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.6209179170344219 |
| --- |
| |
| <!-- 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. --> |
|
|
| # superb_ks_42 |
|
|
| This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) on the superb dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: -7.5697 |
| - Accuracy: 0.6209 |
| - Test Accuracy: 0.6209 |
| - Df Accuracy: 0.1331 |
| - Unlearn Overall Accuracy: 0.7439 |
| - Unlearn Time: 811.1616 |
|
|
| ## 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: 32 |
| - 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: 10.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:----------------:|:------------------------:|:----:| |
| | No log | 1.0 | 96 | -7.5697 | 0.1331 | 0.7439 | 0.7439 | -1 | |
| | No log | 2.0 | 192 | -16.0056 | 0.1331 | 0.7439 | 0.7439 | -1 | |
| | No log | 3.0 | 288 | -25.2304 | 0.1331 | 0.7439 | 0.7439 | -1 | |
| | No log | 4.0 | 384 | -35.0470 | 0.1331 | 0.7439 | 0.7439 | -1 | |
| | No log | 5.0 | 480 | -44.8008 | 0.1331 | 0.7439 | 0.7439 | -1 | |
| | No log | 6.0 | 576 | -53.8368 | 0.1331 | 0.7439 | 0.7439 | -1 | |
| | No log | 7.0 | 672 | -61.5362 | 0.1331 | 0.7439 | 0.7439 | -1 | |
| | No log | 8.0 | 768 | -67.4056 | 0.1331 | 0.7439 | 0.7439 | -1 | |
| | No log | 9.0 | 864 | -71.0815 | 0.1331 | 0.7439 | 0.7439 | -1 | |
| | No log | 10.0 | 960 | -72.3418 | 0.1331 | 0.7439 | 0.7439 | -1 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.39.3 |
| - Pytorch 2.2.2+cu118 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
| |
