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Update README.md

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@@ -19,12 +19,11 @@ probably proofread and complete it, then remove this comment. -->
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  # TF-Finetuned-xsum
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- This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Train Loss: 2.8326
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  - Validation Loss: 2.5943
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- - Train Rougel: tf.Tensor(0.1999889, shape=(), dtype=float32)
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- - Epoch: 0
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  ## Model description
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@@ -50,7 +49,7 @@ 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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- | 2.8326 | 2.5943 | tf.Tensor(0.1999889, shape=(), dtype=float32) | 0 |
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  ### Framework versions
 
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  # TF-Finetuned-xsum
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on [xsum](https://huggingface.co/datasets/xsum) dataset.
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  It achieves the following results on the evaluation set:
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  - Train Loss: 2.8326
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  - Validation Loss: 2.5943
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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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+ | 2.8326 | 2.5943 | tf.Tensor(0.1999889, shape=(), dtype=float32) | 1 |
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  ### Framework versions