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Mohammad-basheer/bart-large-cnn-finetuned-random-sample-80
bart-large-cnn-finetuned-random-sample-80 is a summarization model from Mohammad-basheer. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.3302 | 1.0 | 40 | 3.1922 | 0.2965 | 0.0789 | 0.1837 | 0.2565 |
| 1.9373 | 2.0 | 80 | 3.2424 | 0.3273 | 0.0961 | 0.2088 | 0.2886 |