GPT-2 News Title Generator
This model is a fine-tuned version of the GPT-2 model, specifically adapted for generating news article titles. It was trained on a diverse subset of the CC News dataset.
Training
This model was fine-tuned using LoRA (Low-Rank Adaptation) on a subset of the CC News dataset. The training focused on learning to generate concise and relevant titles based on article content. Limitations
The model's performance may vary depending on the length and complexity of the input article.
It may occasionally generate titles that are not fully coherent or relevant to the article content. The model's knowledge is limited to its training data and cut-off date.
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