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unlearn_speech_commands_wav2vec2-base_random_label_8_42
jialicheng/unlearn_speech_commands_wav2vec2-base_random_label_8_42
unlearn_speech_commands_wav2vec2-base_random_label_8_42 is a audio classification model from jialicheng. Use it for the audio classification task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025
- SHA
- 941f529a
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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/wav2vec2-base on the superb dataset. It achieves the following results on the evaluation set:
- Loss: 0.1831
- Accuracy: 0.9826
- Test Accuracy: 0.9826
- Df Accuracy: 0.9812
- Unlearn Overall Accuracy: 0.5007
- Unlearn Time: 4465.4075
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
|---|---|---|---|---|---|---|---|
| 0.4658 | 1.0 | 1597 | 0.1831 | 0.9812 | 0.5007 | 0.5007 | -1 |
| 0.3682 | 2.0 | 3194 | 0.1797 | 0.9804 | 0.4991 | 0.4991 | -1 |
| 0.375 | 3.0 | 4791 | 0.2095 | 0.9763 | 0.5003 | 0.5003 | -1 |
| 0.375 | 4.0 | 6388 | 0.1657 | 0.9802 | 0.5005 | 0.5005 | -1 |
| 0.371 | 5.0 | 7985 | 0.1792 | 0.9809 | 0.4990 | 0.4990 | -1 |
| 0.3501 | 6.0 | 9582 | 0.1797 | 0.9821 | 0.4982 | 0.4982 | -1 |
| 0.3452 | 7.0 | 11179 | 0.1898 | 0.9819 | 0.4991 | 0.4991 | -1 |
| 0.3397 | 8.0 | 12776 | 0.1645 | 0.9831 | 0.4998 | 0.4998 | -1 |
| 0.3362 | 9.0 | 14373 | 0.1814 | 0.9809 | 0.5000 | 0.5000 | -1 |
| 0.3286 | 10.0 | 15970 | 0.1937 | 0.9821 | 0.5000 | 0.5000 | -1 |
| 0.326 | 11.0 | 17567 | 0.1813 | 0.9834 | 0.4993 | 0.4993 | -1 |
| 0.3209 | 12.0 | 19164 | 0.1643 | 0.9821 | 0.4994 | 0.4994 | -1 |
| 0.3152 | 13.0 | 20761 | 0.1795 | 0.9826 | 0.4984 | 0.4984 | -1 |
| 0.3117 | 14.0 | 22358 | 0.1847 | 0.9826 | 0.4989 | 0.4989 | -1 |
| 0.3057 | 15.0 | 23955 | 0.1881 | 0.9819 | 0.4999 | 0.4999 | -1 |
| 0.2994 | 16.0 | 25552 | 0.1934 | 0.9829 | 0.4983 | 0.4983 | -1 |
| 0.2969 | 17.0 | 27149 | 0.1774 | 0.9839 | 0.4985 | 0.4985 | -1 |
| 0.2915 | 18.0 | 28746 | 0.1772 | 0.9836 | 0.4990 | 0.4990 | -1 |
| 0.2877 | 19.0 | 30343 | 0.1781 | 0.9839 | 0.4992 | 0.4992 | -1 |
| 0.2956 | 20.0 | 31940 | 0.1749 | 0.9839 | 0.4995 | 0.4995 | -1 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Audio Classification
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025