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Bolakubus
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distilhubert-finetuned-gtzan

Audio Classification
Transformers
PyTorch
hubert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
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End of training

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  1. README.md +14 -14
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8
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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 [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7448
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- - Accuracy: 0.8
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  ## Model description
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@@ -65,21 +65,21 @@ 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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- | 2.0362 | 1.0 | 113 | 1.8845 | 0.4 |
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- | 1.3066 | 2.0 | 226 | 1.2775 | 0.62 |
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- | 1.0786 | 3.0 | 339 | 1.0007 | 0.71 |
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- | 0.9376 | 4.0 | 452 | 0.9623 | 0.71 |
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- | 0.5584 | 5.0 | 565 | 0.7444 | 0.79 |
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- | 0.3935 | 6.0 | 678 | 0.7707 | 0.79 |
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- | 0.4589 | 7.0 | 791 | 0.7264 | 0.79 |
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- | 0.1297 | 8.0 | 904 | 0.7264 | 0.78 |
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- | 0.2832 | 9.0 | 1017 | 0.7469 | 0.81 |
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- | 0.1355 | 10.0 | 1130 | 0.7448 | 0.8 |
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  ### Framework versions
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  - Transformers 4.34.0.dev0
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  - Pytorch 2.0.1+cu118
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- - Datasets 2.14.4
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  - Tokenizers 0.13.3
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.84
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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 [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6073
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+ - Accuracy: 0.84
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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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+ | 1.9996 | 1.0 | 113 | 1.7954 | 0.57 |
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+ | 1.3157 | 2.0 | 226 | 1.2129 | 0.67 |
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+ | 0.9375 | 3.0 | 339 | 0.9223 | 0.76 |
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+ | 0.817 | 4.0 | 452 | 0.8372 | 0.73 |
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+ | 0.5425 | 5.0 | 565 | 0.7206 | 0.74 |
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+ | 0.4381 | 6.0 | 678 | 0.6317 | 0.78 |
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+ | 0.5359 | 7.0 | 791 | 0.5468 | 0.84 |
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+ | 0.2037 | 8.0 | 904 | 0.5492 | 0.84 |
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+ | 0.3028 | 9.0 | 1017 | 0.5550 | 0.8 |
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+ | 0.1674 | 10.0 | 1130 | 0.6073 | 0.84 |
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  ### Framework versions
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  - Transformers 4.34.0.dev0
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  - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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  - Tokenizers 0.13.3
pytorch_model.bin CHANGED
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