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unlearn_speech_commands_hubert-base_random_label_2_42
jialicheng/unlearn_speech_commands_hubert-base_random_label_2_42
unlearn_speech_commands_hubert-base_random_label_2_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
- 8fdca319
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: 0.1141
- Accuracy: 0.9818
- Test Accuracy: 0.9818
- Df Accuracy: 0.9736
- Unlearn Overall Accuracy: 0.5041
- Unlearn Time: 3242.6132
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 |
|---|---|---|---|---|---|---|---|
| 0.1998 | 1.0 | 1597 | 0.1072 | 0.9775 | 0.5018 | 0.5018 | -1 |
| 0.1835 | 2.0 | 3194 | 0.1141 | 0.9736 | 0.5041 | 0.5041 | -1 |
| 0.1964 | 3.0 | 4791 | 0.0950 | 0.9775 | 0.5025 | 0.5025 | -1 |
| 0.189 | 4.0 | 6388 | 0.1102 | 0.9726 | 0.5039 | 0.5039 | -1 |
| 0.1827 | 5.0 | 7985 | 0.1138 | 0.9765 | 0.5017 | 0.5017 | -1 |
| 0.1775 | 6.0 | 9582 | 0.1098 | 0.9775 | 0.5027 | 0.5027 | -1 |
| 0.1696 | 7.0 | 11179 | 0.1009 | 0.9794 | 0.5022 | 0.5022 | -1 |
| 0.1749 | 8.0 | 12776 | 0.1219 | 0.9804 | 0.5007 | 0.5007 | -1 |
| 0.1651 | 9.0 | 14373 | 0.1012 | 0.9814 | 0.5014 | 0.5014 | -1 |
| 0.1654 | 10.0 | 15970 | 0.1182 | 0.9794 | 0.5015 | 0.5015 | -1 |
| 0.1568 | 11.0 | 17567 | 0.1028 | 0.9824 | 0.5007 | 0.5007 | -1 |
| 0.1544 | 12.0 | 19164 | 0.0921 | 0.9814 | 0.5017 | 0.5017 | -1 |
| 0.145 | 13.0 | 20761 | 0.1060 | 0.9814 | 0.5014 | 0.5014 | -1 |
| 0.1473 | 14.0 | 22358 | 0.1043 | 0.9824 | 0.5013 | 0.5013 | -1 |
| 0.1418 | 15.0 | 23955 | 0.1248 | 0.9794 | 0.5007 | 0.5007 | -1 |
| 0.1401 | 16.0 | 25552 | 0.1007 | 0.9824 | 0.5009 | 0.5009 | -1 |
| 0.1351 | 17.0 | 27149 | 0.1111 | 0.9833 | 0.5001 | 0.5001 | -1 |
| 0.1305 | 18.0 | 28746 | 0.1101 | 0.9833 | 0.5001 | 0.5001 | -1 |
| 0.1257 | 19.0 | 30343 | 0.1100 | 0.9833 | 0.4999 | 0.4999 | -1 |
| 0.1297 | 20.0 | 31940 | 0.1106 | 0.9833 | 0.4999 | 0.4999 | -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