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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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tags: |
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- audio-classification |
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- generated_from_trainer |
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datasets: |
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- superb |
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metrics: |
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- accuracy |
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model-index: |
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- name: superb_ks_42 |
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results: |
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- task: |
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name: Audio Classification |
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type: audio-classification |
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dataset: |
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name: superb |
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type: superb |
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config: ks |
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split: validation |
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args: ks |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.6209179170344219 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# superb_ks_42 |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1051591.375 |
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- Accuracy: 0.6209 |
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- Test Accuracy: 0.6209 |
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- Df Accuracy: 0.1352 |
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- Unlearn Overall Accuracy: 0.7429 |
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- Unlearn Time: 11585.2870 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:----------------:|:------------------------:|:----:| |
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| 0.0 | 0.5 | 1564 | 2.0251 | 0.5642 | 0.6213 | 0.6213 | -1 | |
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| 0.0 | 1.0 | 3128 | 24.9043 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 1.5 | 4692 | 118.8172 | 0.1342 | 0.7431 | 0.7431 | -1 | |
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| 0.0 | 2.0 | 6256 | 360.7070 | 0.1342 | 0.7404 | 0.7404 | -1 | |
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| 0.0 | 2.5 | 7820 | 1797.0188 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 3.0 | 9384 | 1833.0411 | 0.1342 | 0.7407 | 0.7407 | -1 | |
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| 0.0 | 3.5 | 10948 | 5951.4312 | 0.1352 | 0.7391 | 0.7391 | -1 | |
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| 0.0 | 4.0 | 12512 | 23488.5137 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 4.5 | 14076 | 43524.4297 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 5.0 | 15640 | 61965.0234 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 5.5 | 17204 | 83421.5312 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 6.0 | 18768 | 108193.9766 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 6.5 | 20332 | 136248.25 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 7.0 | 21896 | 167441.5938 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 7.5 | 23460 | 201594.4688 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 7.99 | 25024 | 238488.5 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 8.49 | 26588 | 277883.0625 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 8.99 | 28152 | 319393.5625 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 9.49 | 29716 | 362743.3438 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 9.99 | 31280 | 407556.3438 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 10.49 | 32844 | 453439.1875 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 10.99 | 34408 | 500049.6562 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 11.49 | 35972 | 546989.6875 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 11.99 | 37536 | 593870.5625 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 12.49 | 39100 | 640257.0 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 12.99 | 40664 | 685795.3125 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 13.49 | 42228 | 730008.5 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 13.99 | 43792 | 772677.1875 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 14.49 | 45356 | 813358.625 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 14.99 | 46920 | 851736.9375 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 15.49 | 48484 | 887515.625 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 15.99 | 50048 | 920330.625 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 16.49 | 51612 | 949979.0 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 16.99 | 53176 | 976159.25 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 17.49 | 54740 | 998714.6875 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 17.99 | 56304 | 1017460.9375 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 18.49 | 57868 | 1032206.9375 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 18.99 | 59432 | 1042871.625 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 19.49 | 60996 | 1049350.375 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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| 0.0 | 19.99 | 62560 | 1051591.375 | 0.1352 | 0.7429 | 0.7429 | -1 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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