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--- |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: t5-base-medium-title-generation |
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results: [] |
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--- |
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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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probably proofread and complete it, then remove this comment. --> |
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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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- Transformers 4.18.0 |
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- TensorFlow 2.8.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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