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@@ -21,20 +21,6 @@ It achieves the following results on the evaluation set:
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  - Loss: 0.6281
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  - Accuracy: 0.8280
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- ## Model description
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- More information needed
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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- ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
@@ -46,15 +32,6 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 4
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- ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 70 | 0.4009 | 0.8136 |
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- | 0.4614 | 2.0 | 140 | 0.3777 | 0.8172 |
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- | 0.1829 | 3.0 | 210 | 0.5505 | 0.8208 |
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- | 0.1829 | 4.0 | 280 | 0.6281 | 0.8280 |
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  ### Framework versions
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  - Loss: 0.6281
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  - Accuracy: 0.8280
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  - lr_scheduler_type: linear
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  - num_epochs: 4
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  ### Framework versions
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