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@@ -20,20 +20,6 @@ It achieves the following results on the evaluation set:
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  - Validation Accuracy: 0.0899
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  - Finished epochs: 13
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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:
@@ -44,9 +30,19 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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- | 4.8507 | 0.0604 | 2.1716 | 0.0891 | 0 |
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- | 1.9836 | 0.0931 | 2.1777 | 0.0898 | 1 |
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- | 1.9853 | 0.0930 | 2.1782 | 0.0896 | 2 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  - Validation Accuracy: 0.0899
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  - Finished epochs: 13
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ |11.4516 | 0.0165 | 4.5115 | 0.0501 | 0 |
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+ | 3.6182 | 0.0628 | 2.8398 | 0.0752 | 1 |
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+ | 2.2317 | 0.0883 | 2.1699 | 0.0899 | 2 |
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+ | 1.9700 | 0.0942 | 2.5529 | 0.0831 | 3 |
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+ | 1.9714 | 0.0941 | 2.4961 | 0.0843 | 4 |
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+ | 1.9682 | 0.0940 | 2.5089 | 0.0839 | 5 |
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+ | 1.9546 | 0.0944 | 2.5029 | 0.0841 | 6 |
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+ | 1.9808 | 0.0939 | 2.5140 | 0.0838 | 7 |
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+ | 1.9728 | 0.0937 | 2.5212 | 0.0833 | 8 |
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+ | 1.9655 | 0.0941 | 2.5575 | 0.0838 | 9 |
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+ | 1.9708 | 0.0935 | 2.5419 | 0.0833 | 10 |
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+ | 1.9693 | 0.0940 | 2.5304 | 0.0836 | 11 |
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+ | 1.9614 | 0.0941 | 2.5176 | 0.0835 | 12 |
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  ### Framework versions