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README.md
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---
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license: apache-2.0
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base_model: bookbot/distil-ast-audioset
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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: distil-ast-audioset-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: 0.93
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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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# distil-ast-audioset-finetuned-gtzan
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This model is a fine-tuned version of [bookbot/distil-ast-audioset](https://huggingface.co/bookbot/distil-ast-audioset) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5022
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- Accuracy: 0.93
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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: 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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| 0.8727 | 1.0 | 113 | 0.6650 | 0.81 |
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| 0.6665 | 2.0 | 226 | 0.7639 | 0.74 |
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| 0.5306 | 3.0 | 339 | 0.6683 | 0.76 |
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| 0.2793 | 4.0 | 452 | 0.7423 | 0.82 |
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| 0.0867 | 5.0 | 565 | 0.6301 | 0.85 |
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| 0.0156 | 6.0 | 678 | 0.8905 | 0.83 |
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| 0.2298 | 7.0 | 791 | 0.4492 | 0.92 |
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| 0.0073 | 8.0 | 904 | 0.9028 | 0.83 |
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| 0.0664 | 9.0 | 1017 | 0.6387 | 0.85 |
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| 0.0001 | 10.0 | 1130 | 0.5022 | 0.87 |
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| 0.0001 | 11.0 | 1243 | 0.4047 | 0.91 |
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| 0.0 | 12.0 | 1356 | 0.3988 | 0.92 |
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| 0.0 | 13.0 | 1469 | 0.6225 | 0.91 |
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| 0.0 | 14.0 | 1582 | 0.6075 | 0.86 |
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| 0.0 | 15.0 | 1695 | 0.5259 | 0.89 |
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| 0.0 | 16.0 | 1808 | 0.5014 | 0.92 |
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| 0.0 | 17.0 | 1921 | 0.5004 | 0.93 |
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| 0.0 | 18.0 | 2034 | 0.5008 | 0.93 |
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| 0.0 | 19.0 | 2147 | 0.5022 | 0.93 |
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| 0.0 | 20.0 | 2260 | 0.5022 | 0.93 |
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### Framework versions
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- Transformers 4.31.0.dev0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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