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unlearn_speech_commands_hubert-base_random_label_4_42
jialicheng/unlearn_speech_commands_hubert-base_random_label_4_42
unlearn_speech_commands_hubert-base_random_label_4_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
- hubert
- Access
- Public
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025
- SHA
- 9ef84ef8
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/hubert-base-ls960 on the superb dataset. It achieves the following results on the evaluation set:
- Loss: 0.1481
- Accuracy: 0.9790
- Test Accuracy: 0.9790
- Df Accuracy: 0.9736
- Unlearn Overall Accuracy: 0.5027
- Unlearn Time: 3242.5693
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 |
|---|---|---|---|---|---|---|---|
| 0.3018 | 1.0 | 1597 | 0.1200 | 0.9765 | 0.5025 | 0.5025 | -1 |
| 0.2447 | 2.0 | 3194 | 0.1311 | 0.9790 | 0.4995 | 0.4995 | -1 |
| 0.25 | 3.0 | 4791 | 0.1481 | 0.9736 | 0.5027 | 0.5027 | -1 |
| 0.2432 | 4.0 | 6388 | 0.1275 | 0.9785 | 0.5014 | 0.5014 | -1 |
| 0.238 | 5.0 | 7985 | 0.1632 | 0.9780 | 0.5020 | 0.5020 | -1 |
| 0.229 | 6.0 | 9582 | 0.1489 | 0.9794 | 0.5013 | 0.5013 | -1 |
| 0.2273 | 7.0 | 11179 | 0.1227 | 0.9794 | 0.5012 | 0.5012 | -1 |
| 0.2229 | 8.0 | 12776 | 0.1194 | 0.9790 | 0.5016 | 0.5016 | -1 |
| 0.2164 | 9.0 | 14373 | 0.1346 | 0.9799 | 0.5014 | 0.5014 | -1 |
| 0.2112 | 10.0 | 15970 | 0.1497 | 0.9804 | 0.5007 | 0.5007 | -1 |
| 0.2098 | 11.0 | 17567 | 0.1452 | 0.9809 | 0.5006 | 0.5006 | -1 |
| 0.21 | 12.0 | 19164 | 0.1170 | 0.9804 | 0.5018 | 0.5018 | -1 |
| 0.1941 | 13.0 | 20761 | 0.1271 | 0.9824 | 0.5006 | 0.5006 | -1 |
| 0.1978 | 14.0 | 22358 | 0.1275 | 0.9804 | 0.5016 | 0.5016 | -1 |
| 0.1975 | 15.0 | 23955 | 0.1395 | 0.9804 | 0.5006 | 0.5006 | -1 |
| 0.1946 | 16.0 | 25552 | 0.1307 | 0.9809 | 0.5008 | 0.5008 | -1 |
| 0.1862 | 17.0 | 27149 | 0.1301 | 0.9809 | 0.5009 | 0.5009 | -1 |
| 0.1836 | 18.0 | 28746 | 0.1363 | 0.9809 | 0.5010 | 0.5010 | -1 |
| 0.1754 | 19.0 | 30343 | 0.1348 | 0.9814 | 0.5005 | 0.5005 | -1 |
| 0.1815 | 20.0 | 31940 | 0.1353 | 0.9809 | 0.5008 | 0.5008 | -1 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Audio Classification
- Type
- hubert
- License
- apache-2.0
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025