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sravan-gorugantu
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model2024-05-20

Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Eval Results
Inference Endpoints
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End of training

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  1. README.md +10 -10
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: SeyedAli/Musical-genres-Classification-Hubert-V1
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  tags:
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  - generated_from_trainer
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  datasets:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9887592199656462
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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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  # model2024-05-20
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- This model is a fine-tuned version of [SeyedAli/Musical-genres-Classification-Hubert-V1](https://huggingface.co/SeyedAli/Musical-genres-Classification-Hubert-V1) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0353
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- - Accuracy: 0.9888
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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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- | 0.1672 | 1.0 | 309 | 0.1493 | 0.9574 |
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- | 0.1182 | 2.0 | 619 | 0.0881 | 0.9720 |
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- | 0.083 | 3.0 | 928 | 0.0478 | 0.9839 |
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- | 0.0624 | 4.0 | 1238 | 0.0415 | 0.9864 |
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- | 0.0514 | 4.99 | 1545 | 0.0353 | 0.9888 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: ntu-spml/distilhubert
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.96875
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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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  # model2024-05-20
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+ This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0759
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+ - Accuracy: 0.9688
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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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+ | 0.1694 | 1.0 | 321 | 0.1613 | 0.9408 |
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+ | 0.1271 | 2.0 | 642 | 0.1178 | 0.9530 |
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+ | 0.0922 | 3.0 | 963 | 0.1076 | 0.9568 |
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+ | 0.0788 | 4.0 | 1284 | 0.0731 | 0.9691 |
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+ | 0.0766 | 5.0 | 1605 | 0.0759 | 0.9688 |
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  ### Framework versions
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