Update README.md

README.md

@@ -5,10 +5,15 @@ base_model: VietAI/vit5-base
 tags:
 - generated_from_trainer
 metrics:
-- bleu
+- Rouge1, Rouge2, RougeL
 model-index:
 - name: lora-vit5-finetuned
   results: []
+datasets:
+- vukhai248/vietnamese_new_normal_25k_e_summary
+language:
+- vi
+pipeline_tag: summarization
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -22,7 +27,6 @@ It achieves the following results on the evaluation set:
 - Rouge1 F1: 0.1812
 - Rouge2 F1: 0.1462
 - Rougel F1: 0.1688
-- Bleu: 0.0
 
 ## Model description
 
@@ -54,13 +58,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1 F1 | Rouge2 F1 | Rougel F1 | Bleu |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:---------:|:---------:|:----:|
-| 0.4567        | 1.0   | 1250 | 0.0438          | 0.1776    | 0.1374    | 0.1634    | 0.0  |
-| 0.0523        | 2.0   | 2500 | 0.0347          | 0.1798    | 0.1415    | 0.1659    | 0.0  |
-| 0.0438        | 3.0   | 3750 | 0.0313          | 0.1806    | 0.1448    | 0.1679    | 0.0  |
-| 0.0393        | 4.0   | 5000 | 0.0295          | 0.1812    | 0.1452    | 0.1682    | 0.0  |
-| 0.0371        | 5.0   | 6250 | 0.0290          | 0.1812    | 0.1462    | 0.1688    | 0.0  |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 F1 | Rouge2 F1 | Rougel F1 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:---------:|:---------:|
+| 0.4567        | 1.0   | 1250 | 0.0438          | 0.1776    | 0.1374    | 0.1634    |
+| 0.0523        | 2.0   | 2500 | 0.0347          | 0.1798    | 0.1415    | 0.1659    |
+| 0.0438        | 3.0   | 3750 | 0.0313          | 0.1806    | 0.1448    | 0.1679    |
+| 0.0393        | 4.0   | 5000 | 0.0295          | 0.1812    | 0.1452    | 0.1682    |
+| 0.0371        | 5.0   | 6250 | 0.0290          | 0.1812    | 0.1462    | 0.1688    |
 
 
 ### Framework versions