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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: 0.9845542806707855 |
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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: 0.0853 |
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- Accuracy: 0.9846 |
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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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| 1.25 | 1.0 | 1597 | 0.1755 | 0.9582 | |
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| 0.2502 | 2.0 | 3194 | 0.1402 | 0.9713 | |
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| 0.2218 | 3.0 | 4791 | 0.0956 | 0.9803 | |
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| 0.1746 | 4.0 | 6388 | 0.0917 | 0.9797 | |
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| 0.17 | 5.0 | 7985 | 0.0893 | 0.9807 | |
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| 0.1431 | 6.0 | 9582 | 0.0933 | 0.9810 | |
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| 0.1238 | 7.0 | 11179 | 0.0958 | 0.9831 | |
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| 0.116 | 8.0 | 12776 | 0.0970 | 0.9834 | |
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| 0.0995 | 9.0 | 14373 | 0.0853 | 0.9846 | |
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| 0.0985 | 10.0 | 15970 | 0.0829 | 0.9838 | |
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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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