update model card README.md

README.md

@@ -1,9 +1,7 @@
 ---
-license: mit
 tags:
+- summarization
 - generated_from_trainer
-metrics:
-- rouge
 model-index:
 - name: mbart-large-50-finetuned-v1
   results: []
@@ -14,13 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mbart-large-50-finetuned-v1
 
-This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.1514
-- Rouge1: 2.979
-- Rouge2: 1.5946
-- Rougel: 2.9652
-- Rougelsum: 2.9673
+This model was trained from scratch on the None dataset.
 
 ## Model description
 
@@ -47,16 +39,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 1
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
-| 1.3744        | 1.0   | 6812 | 1.1514          | 2.979  | 1.5946 | 2.9652 | 2.9673    |
-
-
 ### Framework versions
 
 - Transformers 4.21.1
-- Pytorch 1.12.0+cu113
+- Pytorch 1.12.1+cu113
 - Datasets 2.4.0
 - Tokenizers 0.12.1