Update README.md

README.md

@@ -17,7 +17,7 @@ datasets:
 
 [MLSUM es](https://huggingface.co/datasets/viewer/?dataset=mlsum)
 
-## Results (WIP)
+## Results
 
 |Set|Metric| Value|
 |----|------|------|
@@ -27,6 +27,20 @@ datasets:
 | Test | Rouge1 - fmeasure | 28.83 |
 | Test | RougeL - fmeasure  | 23.15 |
 
+Raw metrics using HF/metrics `rouge`:
+
+```python
+rouge = datasets.load_metric("rouge")
+rouge.compute(predictions=results["pred_summary"], references=results["summary"])
+
+{'rouge1': AggregateScore(low=Score(precision=0.30393366820245, recall=0.27905239591639935, fmeasure=0.283148902808752), mid=Score(precision=0.3068521142101569, recall=0.2817252494122592, fmeasure=0.28560373425206464), high=Score(precision=0.30972608774202665, recall=0.28458152325781716, fmeasure=0.2883786700591887)),
+ 'rougeL': AggregateScore(low=Score(precision=0.24184668819794716, recall=0.22401171380621518, fmeasure=0.22624104698839514), mid=Score(precision=0.24470388406868163, recall=0.22665793214539162, fmeasure=0.2289118878817394), high=Score(precision=0.2476594458951327, recall=0.22932683203591905, fmeasure=0.23153001570662513))}
+ 
+rouge.compute(predictions=results["pred_summary"], references=results["summary"], rouge_types=["rouge2"])["rouge2"].mid
+
+Score(precision=0.11423200347113865, recall=0.10588038944902506, fmeasure=0.1069921217219595)
+```
+
 ## Usage
 
  ```python