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--- |
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license: apache-2.0 |
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base_model: facebook/hubert-large-ll60k |
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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/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) on the superb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: -11.1651 |
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- Accuracy: 0.6209 |
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- Test Accuracy: 0.6209 |
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- Df Accuracy: 0.1395 |
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- Unlearn Overall Accuracy: 0.7407 |
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- Unlearn Time: 720.5727 |
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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: 10.0 |
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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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| No log | 1.0 | 64 | -4.3569 | 0.2168 | 0.7192 | 0.7192 | -1 | |
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| No log | 2.0 | 128 | -11.1651 | 0.1395 | 0.7407 | 0.7407 | -1 | |
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| No log | 3.0 | 192 | -16.2146 | 0.1395 | 0.7407 | 0.7407 | -1 | |
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| No log | 4.0 | 256 | -21.2411 | 0.1395 | 0.7407 | 0.7407 | -1 | |
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| No log | 5.0 | 320 | -26.0470 | 0.1395 | 0.7407 | 0.7407 | -1 | |
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| No log | 6.0 | 384 | -30.3817 | 0.1395 | 0.7407 | 0.7407 | -1 | |
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| No log | 7.0 | 448 | -34.0174 | 0.1395 | 0.7407 | 0.7407 | -1 | |
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| No log | 8.0 | 512 | -36.7682 | 0.1395 | 0.7407 | 0.7407 | -1 | |
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| No log | 9.0 | 576 | -38.4767 | 0.1395 | 0.7407 | 0.7407 | -1 | |
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| No log | 10.0 | 640 | -39.0640 | 0.1395 | 0.7407 | 0.7407 | -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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