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@@ -23,20 +23,6 @@ It achieves the following results on the evaluation set:
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  - Accuracy: 0.8353
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  - F1: 0.7325
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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:
@@ -52,11 +38,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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- | No log | 0 | 0 | 0.6059 | 0.7106 | 0.0 |
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  | No log | 0.6006 | 188 | 0.4820 | 0.7826 | 0.6 |
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  | No log | 1.2013 | 376 | 0.4764 | 0.7858 | 0.4553 |
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  | 0.5275 | 1.8019 | 564 | 0.5046 | 0.7738 | 0.6519 |
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  | 0.5275 | 2.4026 | 752 | 0.4234 | 0.8233 | 0.7041 |
 
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  ### Framework versions
 
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  - Accuracy: 0.8353
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  - F1: 0.7325
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 0 | 0 | 0.6059 | 0.7106 | 0.1957 |
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  | No log | 0.6006 | 188 | 0.4820 | 0.7826 | 0.6 |
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  | No log | 1.2013 | 376 | 0.4764 | 0.7858 | 0.4553 |
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  | 0.5275 | 1.8019 | 564 | 0.5046 | 0.7738 | 0.6519 |
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  | 0.5275 | 2.4026 | 752 | 0.4234 | 0.8233 | 0.7041 |
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+ | 0.5275 | 3 | 939 | 0.3918 | 0.8353 | 0.7325 |
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  ### Framework versions