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QingyunWang/pegasus-samsum
pegasus-samsum is a machine learning model from QingyunWang. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of google/pegasus-cnn_dailymail on an unknown dataset. It achieves the following results on the evaluation set:
Check out this notebook for the details of model training
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6489 | 0.54 | 500 | 1.4894 |
| 1.578 | 1.09 | 1000 | 1.4044 |
| 1.3577 | 1.63 | 1500 | 1.3774 |
| 1.4376 | 2.17 | 2000 | 1.3639 |
| 1.3881 | 2.72 | 2500 | 1.3577 |
| rouge1 | rouge2 | rougeL | rougeLsum | |
|---|---|---|---|---|
| pegasus | 0.437429 | 0.20874 | 0.346974 | 0.34701 |