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pedropauletti
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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: 0.81
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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: 0.5199
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- - Accuracy: 0.81
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  ## Model description
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@@ -66,21 +66,21 @@ 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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- | 2.026 | 1.0 | 113 | 1.8207 | 0.5 |
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- | 1.3301 | 2.0 | 226 | 1.2287 | 0.64 |
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- | 1.0454 | 3.0 | 339 | 0.9090 | 0.74 |
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- | 0.8686 | 4.0 | 452 | 0.8438 | 0.74 |
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- | 0.5966 | 5.0 | 565 | 0.6423 | 0.8 |
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- | 0.3924 | 6.0 | 678 | 0.6111 | 0.79 |
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- | 0.4546 | 7.0 | 791 | 0.5108 | 0.83 |
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- | 0.1588 | 8.0 | 904 | 0.4974 | 0.84 |
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- | 0.2416 | 9.0 | 1017 | 0.4641 | 0.85 |
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- | 0.1248 | 10.0 | 1130 | 0.5199 | 0.81 |
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  ### Framework versions
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  - Transformers 4.35.0.dev0
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- - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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  - Tokenizers 0.14.1
 
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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: 0.5842
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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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+ | 1.9813 | 1.0 | 113 | 1.7851 | 0.6 |
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+ | 1.2847 | 2.0 | 226 | 1.1387 | 0.68 |
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+ | 0.9723 | 3.0 | 339 | 0.8980 | 0.79 |
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+ | 0.8016 | 4.0 | 452 | 0.8234 | 0.75 |
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+ | 0.7288 | 5.0 | 565 | 0.6514 | 0.84 |
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+ | 0.323 | 6.0 | 678 | 0.6621 | 0.8 |
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+ | 0.4408 | 7.0 | 791 | 0.5913 | 0.82 |
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+ | 0.1275 | 8.0 | 904 | 0.5346 | 0.84 |
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+ | 0.3043 | 9.0 | 1017 | 0.5475 | 0.86 |
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+ | 0.1396 | 10.0 | 1130 | 0.5842 | 0.84 |
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  ### Framework versions
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  - Transformers 4.35.0.dev0
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+ - Pytorch 2.1.0+cu118
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  - Datasets 2.14.5
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  - Tokenizers 0.14.1
pytorch_model.bin CHANGED
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