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--- |
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license: apache-2.0 |
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base_model: facebook/hubert-base-ls960 |
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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_si_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: si |
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split: validation |
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args: si |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.15773464658169178 |
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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_si_42 |
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This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the superb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9981 |
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- Accuracy: 0.1577 |
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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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| 6.2927 | 1.0 | 4324 | 6.5321 | 0.0049 | |
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| 5.6909 | 2.0 | 8648 | 6.0103 | 0.0088 | |
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| 5.3829 | 3.0 | 12972 | 5.5309 | 0.0235 | |
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| 4.9995 | 4.0 | 17296 | 5.1894 | 0.0379 | |
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| 4.7591 | 5.0 | 21620 | 4.8644 | 0.0620 | |
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| 4.5243 | 6.0 | 25944 | 4.6042 | 0.0859 | |
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| 4.2486 | 7.0 | 30268 | 4.3497 | 0.1173 | |
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| 4.0813 | 8.0 | 34592 | 4.1215 | 0.1405 | |
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| 3.9317 | 9.0 | 38916 | 4.0431 | 0.1508 | |
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| 3.8568 | 10.0 | 43240 | 3.9981 | 0.1577 | |
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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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