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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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#
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This model is
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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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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: None
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- training_precision: float32
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### Training results
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### Framework versions
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# Model description
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This model is [t5-base](https://huggingface.co/t5-base) fine-tuned on the [190k Medium Articles](https://www.kaggle.com/datasets/fabiochiusano/medium-articles) dataset for predicting article titles using the article textual content as input.
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## Training and evaluation data
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The model has been trained on a single epoch spanning about 16000 articles, evaluating on 1000 random articles not used during training.
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### Training results
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The model has been evaluated on a random dataset split of 1000 articles not used during training and validation.
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- Rouge-1: 33.8%
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- Rouge-2: 17.7%
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- Rouge-L: 31.4%
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- Rouge-Lsum: 31.4%
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- Average length of the generated titles: 12 tokens
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### Framework versions
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