update model card README.md

README.md

@@ -4,9 +4,22 @@ tags:
 - generated_from_trainer
 datasets:
 - xsum
+metrics:
+- rouge
 model-index:
 - name: t5-small-text_summarization
-  results: []
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: xsum
+      type: xsum
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 28.6917
 ---
 
 <!-- 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-text_summarization
 
 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: 2.4591
+- Rouge1: 28.6917
+- Rouge2: 7.976
+- Rougel: 22.6383
+- Rougelsum: 22.6353
+- Gen Len: 18.8185
 
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 2.7006        | 1.0   | 8162 | 2.4591          | 28.6917 | 7.976  | 22.6383 | 22.6353   | 18.8185 |
+
+
 ### Framework versions
 
 - Transformers 4.12.3