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unlearn_speech_commands_wav2vec2-base_neggrad_10_42
jialicheng/unlearn_speech_commands_wav2vec2-base_neggrad_10_42
unlearn_speech_commands_wav2vec2-base_neggrad_10_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
- efb012f7
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: -10.0405
- Accuracy: 0.6209
- Test Accuracy: 0.6209
- Df Accuracy: 0.1405
- Unlearn Overall Accuracy: 0.7402
- Unlearn Time: 556.1764
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 | 160 | -10.0405 | 0.1405 | 0.7402 | 0.7402 | -1 |
| No log | 2.0 | 320 | -26.6717 | 0.1405 | 0.7402 | 0.7402 | -1 |
| No log | 3.0 | 480 | -48.1647 | 0.1405 | 0.7402 | 0.7402 | -1 |
| No log | 4.0 | 640 | -72.2596 | 0.1405 | 0.7402 | 0.7402 | -1 |
| No log | 5.0 | 800 | -96.7467 | 0.1405 | 0.7402 | 0.7402 | -1 |
| No log | 6.0 | 960 | -119.6291 | 0.1405 | 0.7402 | 0.7402 | -1 |
| -122.3648 | 7.0 | 1120 | -139.2895 | 0.1405 | 0.7402 | 0.7402 | -1 |
| -122.3648 | 8.0 | 1280 | -154.3732 | 0.1405 | 0.7402 | 0.7402 | -1 |
| -122.3648 | 9.0 | 1440 | -163.8446 | 0.1405 | 0.7402 | 0.7402 | -1 |
| -122.3648 | 10.0 | 1600 | -167.0999 | 0.1405 | 0.7402 | 0.7402 | -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