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update model card README.md
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README.md
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- generated_from_trainer
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datasets:
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- marsyas/gtzan
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model-index:
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- name: ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
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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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# ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
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This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the GTZAN dataset.
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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### Framework versions
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- Transformers 4.31.0.dev0
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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: ast-finetuned-audioset-10-10-0.4593-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: 0.9
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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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# ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
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This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4717
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- Accuracy: 0.9
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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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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| 0.7581 | 1.0 | 56 | 0.7029 | 0.78 |
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| 0.3942 | 1.99 | 112 | 0.4646 | 0.86 |
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| 0.3298 | 2.99 | 168 | 0.3861 | 0.88 |
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| 0.1227 | 4.0 | 225 | 0.4702 | 0.86 |
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| 0.0774 | 5.0 | 281 | 0.4492 | 0.9 |
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| 0.0039 | 5.99 | 337 | 0.4607 | 0.9 |
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| 0.0014 | 6.99 | 393 | 0.5022 | 0.9 |
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| 0.0022 | 8.0 | 450 | 0.4711 | 0.9 |
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| 0.0193 | 9.0 | 506 | 0.5226 | 0.86 |
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| 0.0004 | 9.99 | 562 | 0.6055 | 0.82 |
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| 0.0003 | 10.99 | 618 | 0.4793 | 0.89 |
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| 0.0002 | 12.0 | 675 | 0.5052 | 0.9 |
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| 0.0002 | 13.0 | 731 | 0.4652 | 0.89 |
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| 0.0001 | 13.99 | 787 | 0.4617 | 0.9 |
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| 0.0001 | 14.99 | 843 | 0.4653 | 0.9 |
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| 0.0001 | 16.0 | 900 | 0.4635 | 0.91 |
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| 0.0001 | 17.0 | 956 | 0.4693 | 0.9 |
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| 0.0001 | 17.99 | 1012 | 0.4697 | 0.9 |
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| 0.0001 | 18.99 | 1068 | 0.4715 | 0.9 |
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| 0.0025 | 19.91 | 1120 | 0.4717 | 0.9 |
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### Framework versions
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- Transformers 4.31.0.dev0
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