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Update README.md

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@@ -17,7 +17,7 @@ It achieves the following results on the evaluation set:
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  - Train Loss: 1.0783
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  - Validation Loss: 0.4735
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  - Train Rougel: tf.Tensor(0.18200324, shape=(), dtype=float32)
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- - Epoch: 0
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  ## Model description
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@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Rougel | Epoch |
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  |:----------:|:---------------:|:----------------------------------------------:|:-----:|
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- | 1.0783 | 0.4735 | tf.Tensor(0.18200324, shape=(), dtype=float32) | 0 |
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  ### Framework versions
 
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  - Train Loss: 1.0783
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  - Validation Loss: 0.4735
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  - Train Rougel: tf.Tensor(0.18200324, shape=(), dtype=float32)
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+ - Epoch: 1
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  ## Model description
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  | Train Loss | Validation Loss | Train Rougel | Epoch |
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  |:----------:|:---------------:|:----------------------------------------------:|:-----:|
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+ | 1.0783 | 0.4735 | tf.Tensor(0.18200324, shape=(), dtype=float32) | 1 |
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  ### Framework versions