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arielcerdap
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ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan

Audio Classification
Transformers
TensorBoard
Safetensors
audio-spectrogram-transformer
Generated from Trainer
Eval Results
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End of training

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Files changed (3) hide show
  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Aug28_19-47-08_eef470b56748/events.out.tfevents.1724876020.eef470b56748.680.5 +2 -2
README.md CHANGED
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.87
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.4699
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- - Accuracy: 0.87
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.0259 | 1.0 | 113 | 0.6219 | 0.75 |
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- | 0.4035 | 2.0 | 226 | 0.6720 | 0.76 |
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- | 0.1718 | 3.0 | 339 | 0.5664 | 0.83 |
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- | 0.0034 | 4.0 | 452 | 0.3891 | 0.88 |
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- | 0.0018 | 5.0 | 565 | 0.6492 | 0.85 |
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- | 0.0004 | 6.0 | 678 | 0.5016 | 0.87 |
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- | 0.0002 | 7.0 | 791 | 0.4740 | 0.86 |
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- | 0.0002 | 8.0 | 904 | 0.4760 | 0.87 |
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- | 0.0002 | 9.0 | 1017 | 0.4741 | 0.88 |
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- | 0.0002 | 10.0 | 1130 | 0.4699 | 0.87 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.92
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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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  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: 0.3783
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+ - Accuracy: 0.92
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.0216 | 1.0 | 113 | 0.8214 | 0.84 |
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+ | 0.0846 | 2.0 | 226 | 0.9806 | 0.79 |
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+ | 0.0008 | 3.0 | 339 | 1.1615 | 0.8 |
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+ | 0.0022 | 4.0 | 452 | 0.9233 | 0.82 |
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+ | 0.0002 | 5.0 | 565 | 0.5763 | 0.87 |
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+ | 0.0001 | 6.0 | 678 | 0.3211 | 0.92 |
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+ | 0.0001 | 7.0 | 791 | 0.3334 | 0.93 |
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+ | 0.0 | 8.0 | 904 | 0.3801 | 0.92 |
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+ | 0.0 | 9.0 | 1017 | 0.3774 | 0.92 |
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+ | 0.0001 | 10.0 | 1130 | 0.3783 | 0.92 |
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  ### Framework versions
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