update model card README.md

README.md

@@ -2,8 +2,6 @@
 license: mit
 tags:
 - generated_from_trainer
-metrics:
-- rouge
 model-index:
 - name: inetuned-summarize-test
   results: []
@@ -14,13 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # inetuned-summarize-test
 
-This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.9112
-- Rouge1: 34.3646
-- Rouge2: 13.4548
-- Rougel: 24.4603
-- Rougelsum: 25.0669
+This model is a fine-tuned version of [minnehwg/inetuned-summarize-test](https://huggingface.co/minnehwg/inetuned-summarize-test) on the None dataset.
 
 ## Model description
 
@@ -49,15 +41,6 @@ The following hyperparameters were used during training:
 - num_epochs: 3
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| No log        | 1.0   | 250  | 0.9973          | 0.0     | 0.0     | 0.0     | 0.0       |
-| 1.8763        | 2.0   | 500  | 0.9223          | 34.6026 | 13.2254 | 24.6916 | 25.3149   |
-| 1.8763        | 3.0   | 750  | 0.9112          | 34.3646 | 13.4548 | 24.4603 | 25.0669   |
-
-
 ### Framework versions
 
 - Transformers 4.17.0