Update README.md

README.md

@@ -207,20 +207,28 @@ summary often written by its very author.
 ## Evaluation results
 
 Each of the datasets' documents was summarized through every summarization method applied in the code and evaluated 
-in comparison with the gold-standard summaries.
+in comparison with the gold-standard summaries. The following tables provide the results for many evaluation methods applied 
+to the many datasets:
 
-Table 2: Results from Pre-trained Longformer + ML models.
+Table 1: Scientific Papers (arXiv + PubMed) results
+![arxiv1](hhttps://huggingface.co/unb-lamfo-nlp-mcti/NLP-ATS-MCTI/resolve/main/tabela-arxiv-1.png)
+![arxiv2](hhttps://huggingface.co/unb-lamfo-nlp-mcti/NLP-ATS-MCTI/resolve/main/tabela-arxiv-2.png)
 
-| ML Model |  Accuracy | F1 Score  | Precision |   Recall  |
-|| tentativa ||||
-|:--------:|:--------:|:--------:|||
-|:--------:|:---------:|:---------:|:---------:|:---------:|
-| NN       |  0.8269   |  0.8754   |0.7950     |  0.9773   |
-| DNN      |  0.8462   |  0.8776   |0.8474     |  0.9123   |
-| CNN      |  0.8462   |  0.8776   |0.8474     |  0.9123   |
-| LSTM     |  0.8269   |  0.8801   |0.8571     |  0.9091   | 
+Table 2: BIGPATENT results
+![bigpatent1](hhttps://huggingface.co/unb-lamfo-nlp-mcti/NLP-ATS-MCTI/resolve/main/tabela-bigpatent-1.png)
+![bigpatent2](hhttps://huggingface.co/unb-lamfo-nlp-mcti/NLP-ATS-MCTI/resolve/main/tabela-bigpatent-2.png)
 
-![TESTE](https://huggingface.co/unb-lamfo-nlp-mcti/NLP-ATS-MCTI/resolve/main/tabela-arxiv.png)
+Table 3: CNN Corpus results
+![cnncorpus1](hhttps://huggingface.co/unb-lamfo-nlp-mcti/NLP-ATS-MCTI/resolve/main/tabela-cnncorpus-2.png)
+![cnncorpus2](hhttps://huggingface.co/unb-lamfo-nlp-mcti/NLP-ATS-MCTI/resolve/main/tabela-cnncorpus-2.png)
+
+Table 4: CNN + Daily Mail results
+![cnndm1](hhttps://huggingface.co/unb-lamfo-nlp-mcti/NLP-ATS-MCTI/resolve/main/tabela-cnn-dailymail-1.png)
+![cnndm2](hhttps://huggingface.co/unb-lamfo-nlp-mcti/NLP-ATS-MCTI/resolve/main/tabela-cnn-dailymail-2.png)
+
+Table 5: XSum results
+![xsum1](hhttps://huggingface.co/unb-lamfo-nlp-mcti/NLP-ATS-MCTI/resolve/main/tabela-xsum-1.png)
+![xsum2](hhttps://huggingface.co/unb-lamfo-nlp-mcti/NLP-ATS-MCTI/resolve/main/tabela-xsum-2.png)
 
 ## Checkpoints
 - Examples