update model card README.md

README.md

@@ -4,9 +4,24 @@ tags:
 - generated_from_trainer
 datasets:
 - billsum
+metrics:
+- rouge
 model-index:
 - name: my_awesome_billsum_model
-  results: []
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: billsum
+      type: billsum
+      config: default
+      split: ca_test
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.1451
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +30,13 @@ should probably proofread and complete it, then remove this comment. -->
 # my_awesome_billsum_model
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5383
+- Rouge1: 0.1451
+- Rouge2: 0.0521
+- Rougel: 0.1168
+- Rougelsum: 0.1168
+- Gen Len: 19.0
 
 ## Model description
 
@@ -43,6 +65,16 @@ The following hyperparameters were used during training:
 - num_epochs: 4
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 62   | 2.8314          | 0.1277 | 0.0385 | 0.1067 | 0.1068    | 19.0    |
+| No log        | 2.0   | 124  | 2.6230          | 0.136  | 0.0457 | 0.1112 | 0.111     | 19.0    |
+| No log        | 3.0   | 186  | 2.5558          | 0.1439 | 0.0522 | 0.1163 | 0.1161    | 19.0    |
+| No log        | 4.0   | 248  | 2.5383          | 0.1451 | 0.0521 | 0.1168 | 0.1168    | 19.0    |
+
+
 ### Framework versions
 
 - Transformers 4.29.2