update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 5.7605
+      value: 5.7806
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the xlsum dataset.
 It achieves the following results on the evaluation set:
 - Loss: 2.9218
-- Rouge1: 5.7605
-- Rouge2: 1.2779
-- Rougel: 5.7527
-- Rougelsum: 5.7517
+- Rouge1: 5.7806
+- Rouge2: 1.266
+- Rougel: 5.761
+- Rougelsum: 5.7833
 
 ## Model description
 
@@ -64,17 +64,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
-| 4.542         | 1.0   | 2336  | 3.1979          | 4.8399 | 1.0214 | 4.8134 | 4.8158    |
-| 3.7542        | 2.0   | 4672  | 3.0662          | 5.2183 | 1.1035 | 5.2097 | 5.1999    |
-| 3.5706        | 3.0   | 7008  | 3.0070          | 5.5365 | 1.3477 | 5.5316 | 5.5173    |
-| 3.4668        | 4.0   | 9344  | 2.9537          | 5.5813 | 1.1682 | 5.5661 | 5.5649    |
-| 3.4082        | 5.0   | 11680 | 2.9391          | 5.8047 | 1.3486 | 5.783  | 5.7917    |
-| 3.375         | 6.0   | 14016 | 2.9218          | 5.7605 | 1.2779 | 5.7527 | 5.7517    |
+| 4.542         | 1.0   | 2336  | 3.1979          | 4.8334 | 1.025  | 4.8142 | 4.8326    |
+| 3.7542        | 2.0   | 4672  | 3.0662          | 5.2155 | 1.0978 | 5.2025 | 5.2158    |
+| 3.5706        | 3.0   | 7008  | 3.0070          | 5.5471 | 1.3397 | 5.5386 | 5.5391    |
+| 3.4668        | 4.0   | 9344  | 2.9537          | 5.5865 | 1.1558 | 5.5816 | 5.5964    |
+| 3.4082        | 5.0   | 11680 | 2.9391          | 5.8061 | 1.3462 | 5.7944 | 5.812     |
+| 3.375         | 6.0   | 14016 | 2.9218          | 5.7806 | 1.266  | 5.761  | 5.7833    |
 
 
 ### Framework versions
 
 - Transformers 4.20.1
-- Pytorch 1.11.0+cu113
+- Pytorch 1.12.0+cu113
 - Datasets 2.3.2
 - Tokenizers 0.12.1