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

Audio Classification
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audio-spectrogram-transformer
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End of training

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Aug28_19-47-08_eef470b56748/events.out.tfevents.1724874429.eef470b56748.680.4 +2 -2
README.md CHANGED
@@ -32,7 +32,7 @@ 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: 0.5353
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  - Accuracy: 0.87
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  ## Model description
@@ -66,16 +66,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.7308 | 1.0 | 113 | 0.7053 | 0.75 |
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- | 0.4194 | 2.0 | 226 | 0.9210 | 0.75 |
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- | 0.0957 | 3.0 | 339 | 0.8840 | 0.81 |
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- | 0.0274 | 4.0 | 452 | 0.6910 | 0.87 |
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- | 0.0868 | 5.0 | 565 | 0.5857 | 0.86 |
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- | 0.0003 | 6.0 | 678 | 0.5424 | 0.88 |
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- | 0.0002 | 7.0 | 791 | 0.5522 | 0.87 |
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- | 0.0002 | 8.0 | 904 | 0.5394 | 0.87 |
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- | 0.0002 | 9.0 | 1017 | 0.5369 | 0.87 |
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- | 0.0001 | 10.0 | 1130 | 0.5353 | 0.87 |
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  ### Framework versions
 
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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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