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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
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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: 0
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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) |
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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
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