Update README.md

README.md

@@ -50,7 +50,7 @@ from transformers import pipeline
 from transformers import AutoTokenizer
 from transformers import AutoModelForSeq2SeqLM
 
-model_name = "KipperDev/t5_summarizer_model"
+model_name = "admin-sauce/t5-summerizer"
 
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
@@ -92,21 +92,10 @@ Model performance was evaluated using the ROUGE metric, highlighting its capabil
 | Rouge-L                                 | 0.3813    |
 | Rouge-Lsum                              | 0.3813    |
 | Average Generation Length (Gen Len)     | 151.918   |
-| Runtime (seconds)                       | 714.4344  |
+| Runtime (seconds)                       | 726.3344  |
 | Samples per Second                      | 2.679     |
 | Steps per Second                        | 0.336     |
 
-
-# Citation
-
-**BibTeX:**
-
-```bibtex
-@article{kipper_t5_summarizer,
- // SOON
-}
-```
-
 # Authors
 
-This model card was written by [Fernanda Kipper](https://www.fernandakipper.com/)
+  This model card was written by [Thomas Albert Iwin](https://www.admin-sauce.github.io/)