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End of training

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  1. README.md +16 -6
  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: 0.84
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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
@@ -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: 0.9085
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- - Accuracy: 0.84
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  ## Model description
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@@ -59,7 +59,7 @@ 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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- - training_steps: 3000
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  ### Training results
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@@ -90,8 +90,18 @@ The following hyperparameters were used during training:
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  | 0.0161 | 20.35 | 2300 | 0.85 | 0.8464 |
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  | 0.0157 | 21.24 | 2400 | 0.86 | 0.8459 |
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  | 0.0039 | 22.12 | 2500 | 0.8 | 1.0282 |
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- | 0.0145 | 23.01 | 2600 | 0.9218 | 0.84 |
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- | 0.0149 | 23.89 | 2700 | 0.9085 | 0.84 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.83
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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: 0.9791
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+ - Accuracy: 0.83
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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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+ - training_steps: 4000
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  ### Training results
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  | 0.0161 | 20.35 | 2300 | 0.85 | 0.8464 |
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  | 0.0157 | 21.24 | 2400 | 0.86 | 0.8459 |
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  | 0.0039 | 22.12 | 2500 | 0.8 | 1.0282 |
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+ | 0.0157 | 23.01 | 2600 | 0.86 | 0.8649 |
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+ | 0.0119 | 23.89 | 2700 | 0.85 | 0.8894 |
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+ | 0.0129 | 24.78 | 2800 | 0.87 | 0.8624 |
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+ | 0.0124 | 25.66 | 2900 | 0.85 | 0.8862 |
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+ | 0.0025 | 26.55 | 3000 | 0.84 | 0.9097 |
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+ | 0.0197 | 27.43 | 3100 | 0.9150 | 0.85 |
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+ | 0.0193 | 28.32 | 3200 | 0.9986 | 0.83 |
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+ | 0.0119 | 29.2 | 3300 | 0.9001 | 0.87 |
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+ | 0.0017 | 30.09 | 3400 | 0.9599 | 0.83 |
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+ | 0.015 | 30.97 | 3500 | 0.9442 | 0.84 |
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+ | 0.0015 | 31.86 | 3600 | 0.9813 | 0.83 |
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+ | 0.0056 | 32.74 | 3700 | 0.9791 | 0.83 |
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  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 94782534
 
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