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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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- generated_from_trainer |
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datasets: |
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- marsyas/gtzan |
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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-gtzan-bs-8 |
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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: GTZAN |
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type: marsyas/gtzan |
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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: 1.0 |
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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-gtzan-bs-8 |
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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 GTZAN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0222 |
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- Accuracy: 1.0 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 15 |
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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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| 1.997 | 1.0 | 30 | 1.7902 | 0.8148 | |
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| 1.4902 | 2.0 | 60 | 1.3832 | 0.4074 | |
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| 1.2254 | 3.0 | 90 | 0.9829 | 1.0 | |
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| 0.8641 | 4.0 | 120 | 0.5986 | 1.0 | |
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| 0.4658 | 5.0 | 150 | 0.3381 | 0.9630 | |
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| 0.4094 | 6.0 | 180 | 0.5581 | 0.8519 | |
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| 0.2778 | 7.0 | 210 | 0.3275 | 0.9259 | |
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| 0.2474 | 8.0 | 240 | 0.0614 | 1.0 | |
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| 0.282 | 9.0 | 270 | 0.0402 | 1.0 | |
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| 0.0942 | 10.0 | 300 | 0.2155 | 0.9630 | |
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| 0.0704 | 11.0 | 330 | 0.1869 | 0.9630 | |
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| 0.0952 | 12.0 | 360 | 0.2176 | 0.9630 | |
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| 0.1569 | 13.0 | 390 | 0.1957 | 0.9630 | |
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| 0.1165 | 14.0 | 420 | 0.0165 | 1.0 | |
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| 0.0224 | 15.0 | 450 | 0.0222 | 1.0 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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