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--- |
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license: apache-2.0 |
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base_model: pedromatias97/genre-recognizer-finetuned-gtzan_dset |
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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: genre-recognizer-finetuned-gtzan_dset_caro-finetuned-gtzan |
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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: all |
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split: train |
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args: all |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.95 |
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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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# genre-recognizer-finetuned-gtzan_dset_caro-finetuned-gtzan |
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This model is a fine-tuned version of [pedromatias97/genre-recognizer-finetuned-gtzan_dset](https://huggingface.co/pedromatias97/genre-recognizer-finetuned-gtzan_dset) on the GTZAN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1865 |
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- Accuracy: 0.95 |
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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: 9e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 39 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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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: 2 |
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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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| 0.3175 | 0.9956 | 14 | 0.2027 | 0.93 | |
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| 0.1676 | 1.9911 | 28 | 0.1865 | 0.95 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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