redadmiral
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Create README.md
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README.md
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This Model is a fine-tuned version of T-systems [summarization model v1](https://huggingface.co/deutsche-telekom/mt5-small-sum-de-en-v1).
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We used 1000 examples of headline-content pairs from BR24 articles for the fine-tuning process.
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Despite the small amount of training data, the tonality of the summarizations has changed significantly. Many of the resulting summaries do sound like a headline.
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## Training
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We used the following parameters for training this model:
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+ base model: deutsche-telekom/mt5-small-sum-de-en-v1
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+ source_prefix: "summarize: "
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+ batch size: 4
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+ max_source_length: 400
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+ max_target_length: 35
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+ weight_decay: 0.01
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+ number of train epochs: 1
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+ learning rate: 5e-5
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## License
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Since the base model is trained on the MLSUM dataset, this model may not be used for commercial use.
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## Stats
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| Model | Rouge1 | Rouge2 | RougeL | RougeLSum |
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|------------------------------|-----------|----------|-----------|-----------|
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| headlines_test_small_example | 13.573500 | 3.694700 | 12.560600 | 12.60000 |
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