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unlearn_speech_commands_wav2vec2-base_scrub_4_42
jialicheng/unlearn_speech_commands_wav2vec2-base_scrub_4_42
unlearn_speech_commands_wav2vec2-base_scrub_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
- wav2vec2
- Access
- Public
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025
- SHA
- 3a298587
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: 145.7494
- Accuracy: 0.6203
- Test Accuracy: 0.6203
- Df Accuracy: 0.1334
- Unlearn Overall Accuracy: 0.7434
- Unlearn Time: 730.7929
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: 2.5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 1534 | 68.3058 | 0.1339 | 0.7432 | 0.7432 | -1 |
| 0.0 | 2.0 | 3068 | 145.7494 | 0.1334 | 0.7434 | 0.7434 | -1 |
| 0.0 | 2.5 | 3835 | 153.6997 | 0.1339 | 0.7433 | 0.7433 | -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