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Z-H-Che/keyword-summarizer-10000-v1
keyword-summarizer-10000-v1 is a machine learning model from Z-H-Che. 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. The card lists the license as apache-2.0.
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/flan-t5-base 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 |
|---|---|---|---|---|---|---|---|
| 0.1198 | 1.0 | 873 | 0.0264 | 0.7472 | 0.6686 | 0.7455 | 0.7453 |
| 0.0297 | 2.0 | 1746 | 0.0133 | 0.7495 | 0.6764 | 0.7489 | 0.7487 |
| 0.0113 | 3.0 | 2619 | 0.0143 | 0.7497 | 0.6744 | 0.7476 | 0.7474 |
| 0.0076 | 4.0 | 3492 | 0.0126 | 0.7499 | 0.6775 | 0.7490 | 0.7488 |