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update model card README.md

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@@ -4,6 +4,8 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - marsyas/gtzan
 
 
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  model-index:
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  - name: distilhubert-finetuned-gtzan
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  results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilhubert-finetuned-gtzan
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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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  ## Model description
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@@ -40,7 +45,16 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 30
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - generated_from_trainer
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  datasets:
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  - marsyas/gtzan
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: distilhubert-finetuned-gtzan
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  results: []
 
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  # distilhubert-finetuned-gtzan
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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: 0.8681
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+ - Accuracy: 0.77
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.6889 | 1.0 | 225 | 1.4743 | 0.59 |
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+ | 1.0306 | 2.0 | 450 | 1.0034 | 0.77 |
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+ | 0.7468 | 3.0 | 675 | 0.8681 | 0.77 |
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+
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  ### Framework versions
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