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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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- hubert |
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- esc50 |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: hubert-esc50-finetuned-v2 |
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results: [] |
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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-esc50-finetuned-v2 |
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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 ESC-50 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8681 |
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- Accuracy: 0.5175 |
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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: 8 |
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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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- 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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| 3.5459 | 1.0 | 200 | 3.5354 | 0.09 | |
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| 3.1002 | 2.0 | 400 | 3.2000 | 0.1375 | |
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| 2.8786 | 3.0 | 600 | 2.8955 | 0.175 | |
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| 2.5762 | 4.0 | 800 | 2.6800 | 0.2325 | |
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| 2.3834 | 5.0 | 1000 | 2.5289 | 0.2725 | |
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| 2.3231 | 6.0 | 1200 | 2.2412 | 0.375 | |
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| 1.9827 | 7.0 | 1400 | 2.0902 | 0.435 | |
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| 1.9386 | 8.0 | 1600 | 1.9596 | 0.4725 | |
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| 1.7323 | 9.0 | 1800 | 1.9183 | 0.4675 | |
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| 1.7958 | 10.0 | 2000 | 1.8681 | 0.5175 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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