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--- |
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library_name: transformers |
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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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- generated_from_trainer |
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datasets: |
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- UrbanSounds/UrbanSoundsNew |
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metrics: |
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- accuracy |
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model-index: |
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- name: hubert-base-ls960-finetuned-urbansound |
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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: urbansound |
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type: UrbanSounds/UrbanSoundsNew |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.6086956521739131 |
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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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# hubert-base-ls960-finetuned-urbansound |
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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 urbansound dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1907 |
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- Accuracy: 0.6087 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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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- mixed_precision_training: Native AMP |
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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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| 2.133 | 1.0 | 50 | 2.1532 | 0.2609 | |
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| 2.0878 | 2.0 | 100 | 2.0094 | 0.3478 | |
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| 1.8873 | 3.0 | 150 | 1.8741 | 0.2609 | |
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| 1.6437 | 4.0 | 200 | 1.5861 | 0.4783 | |
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| 1.5457 | 5.0 | 250 | 1.4944 | 0.4783 | |
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| 1.181 | 6.0 | 300 | 1.4003 | 0.5217 | |
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| 1.2324 | 7.0 | 350 | 1.2538 | 0.5217 | |
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| 0.9965 | 8.0 | 400 | 1.1745 | 0.5217 | |
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| 1.26 | 9.0 | 450 | 1.1725 | 0.6087 | |
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| 1.0922 | 10.0 | 500 | 1.1907 | 0.6087 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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