update model card README.md

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - xsum
+metrics:
+- rouge
 model-index:
 - name: t5-small-finetuned-xsum
-  results: []
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: xsum
+      type: xsum
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 28.2399
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,13 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-small-finetuned-xsum
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4782
+- Rouge1: 28.2399
+- Rouge2: 7.7274
+- Rougel: 22.2538
+- Rougelsum: 22.2486
+- Gen Len: 18.8191
 
 ## Model description
 
@@ -44,9 +66,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 7    | 3.7064          | 16.7146 | 1.9109 | 13.442 | 13.6581   | 18.97   |
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 2.7161        | 1.0   | 12753 | 2.4782          | 28.2399 | 7.7274 | 22.2538 | 22.2486   | 18.8191 |
 
 
 ### Framework versions