shtif
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distilhubert-finetuned-gtzan

Audio Classification

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shtif commited on Aug 8, 2023

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update model card README.md

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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5377
-- Accuracy: 0.86
 ## Model description
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 8e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -52,7 +52,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2579        | 1.0   | 113  | 0.5377          | 0.86     |
 ### Framework versions

 This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.5678
+- Accuracy: 0.87
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 4e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1952        | 1.0   | 113  | 0.5678          | 0.87     |
 ### Framework versions