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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-large |
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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: 0.9839658723153869 |
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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-large](https://huggingface.co./facebook/wav2vec2-large) on the superb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0856 |
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- Accuracy: 0.9840 |
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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: 4 |
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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 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 1.0646 | 1.0 | 1597 | 0.1839 | 0.9625 | |
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| 0.3751 | 2.0 | 3194 | 0.1954 | 0.9647 | |
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| 0.3156 | 3.0 | 4791 | 0.1335 | 0.9744 | |
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| 0.257 | 4.0 | 6388 | 0.1062 | 0.9796 | |
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| 0.2386 | 5.0 | 7985 | 0.1029 | 0.9801 | |
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| 0.2085 | 6.0 | 9582 | 0.1002 | 0.9815 | |
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| 0.1715 | 7.0 | 11179 | 0.1031 | 0.9818 | |
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| 0.1575 | 8.0 | 12776 | 0.0938 | 0.9819 | |
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| 0.1332 | 9.0 | 14373 | 0.0896 | 0.9831 | |
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| 0.1288 | 10.0 | 15970 | 0.0856 | 0.9840 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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