Downloads · 30 days
4
7% of all-time downloads
unlearn_speech_commands_hubert-base_neggrad_6_42
jialicheng/unlearn_speech_commands_hubert-base_neggrad_6_42
unlearn_speech_commands_hubert-base_neggrad_6_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. --
All-time downloads
56
Public
Parameters
94.6M
381 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors378 MB · 99%
At a glance
- Task
- Audio Classification
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025
- SHA
- 39640497
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: -8.2893
- Accuracy: 0.6209
- Test Accuracy: 0.6209
- Df Accuracy: 0.1331
- Unlearn Overall Accuracy: 0.7439
- Unlearn Time: 413.0351
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 | -8.2893 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 2.0 | 192 | -16.9202 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 3.0 | 288 | -26.3347 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 4.0 | 384 | -36.2141 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 5.0 | 480 | -45.9191 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 6.0 | 576 | -54.7217 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 7.0 | 672 | -62.1326 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 8.0 | 768 | -67.7186 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 9.0 | 864 | -71.2119 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 10.0 | 960 | -72.3902 | 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
- Task
- Audio Classification
- Type
- hubert
- License
- apache-2.0
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025