update model card README.md

README.md

@@ -4,9 +4,22 @@ tags:
 - generated_from_trainer
 datasets:
 - xlsum
+metrics:
+- rouge
 model-index:
 - name: t5-small-finetuned-xlsum
-  results: []
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: xlsum
+      type: xlsum
+      args: spanish
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 15.4289
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +28,13 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-small-finetuned-xlsum
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xlsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6974
+- Rouge1: 15.4289
+- Rouge2: 3.146
+- Rougel: 12.7682
+- Rougelsum: 12.912
+- Gen Len: 18.9889
 
 ## Model description
 
@@ -42,6 +62,13 @@ The following hyperparameters were used during training:
 - num_epochs: 1
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 2.9764        | 1.0   | 2382 | 2.6974          | 15.4289 | 3.146  | 12.7682 | 12.912    | 18.9889 |
+
+
 ### Framework versions
 
 - Transformers 4.20.1