Update README.md

README.md

@@ -34,17 +34,6 @@ pipeline_tag: summarization
 
 # t5_xsum_samsum_billsum_cnn_dailymail
 
-This model was trained from scratch on the cnn_dailymail dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.6478
-- Rouge1: 0.2373
-- Rouge2: 0.1086
-- Rougel: 0.1972
-- Rougelsum: 0.1971
-- Gen Len: 18.9674
-
-# t5_xsum_samsum_billsum_cnn_dailymail
-
 The `t5_xsum_samsum_billsum_cnn_dailymail` model is a text summarization model fine-tuned on the `t5-base` architecture, which is a versatile text-to-text transfer transformer. This powerful model excels at generating abstractive summaries from input text. It has been fine-tuned on multiple datasets, including CNN/Daily Mail (cnn_dailymail), XSum (xsum), SamSum (samsum), BillSum (billsum), and the MeetingBank-transcript dataset by lytang.
 
 ## Intended Uses & Limitations
@@ -76,6 +65,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+#### samsum
+
+| Rouge1  | Rouge2  | RougeL  | RougeLsum |
+|:-------:|:-------:|:-------:|:---------:|
+| 0.0138  | 0.0002  | 0.0138  | 0.0138    |
+
+
+#### CNN_Dailymail
+
 | Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
 | 1.8486        | 1.0   | 32300 | 1.6478          | 0.2373 | 0.1086 | 0.1972 | 0.1971    | 18.9674 |