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guo1006/pegasus-finetuned-xsum-apollo_adamw
pegasus-finetuned-xsum-apollo_adamw is a machine learning model from guo1006. 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-xsum on the xsum 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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.0768 | 1.0 | 1200 | 1.4457 | 0.4853 | 0.253 | 0.4035 | 0.4042 | 34.4167 |
| 1.0271 | 2.0 | 2400 | 1.4505 | 0.4893 | 0.2554 | 0.4072 | 0.4076 | 33.5333 |
| 1.0061 | 3.0 | 3600 | 1.4547 | 0.4861 | 0.2519 | 0.405 | 0.4055 | 33.8833 |