add model

README.md

@@ -3,12 +3,18 @@ tags:
 - generated_from_trainer
 datasets:
 - null
+metrics:
+- rouge
 model_index:
 - name: bart-base-finetuned-xsum
   results:
   - task:
       name: Sequence-to-sequence Language Modeling
       type: text2text-generation
+    metric:
+      name: Rouge1
+      type: rouge
+      value: 27.8379
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,6 +23,13 @@ should probably proofread and complete it, then remove this comment. -->
 # bart-base-finetuned-xsum
 
 This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5671
+- Rouge1: 27.8379
+- Rouge2: 16.2683
+- Rougel: 24.1898
+- Rougelsum: 25.5234
+- Gen Len: 20.0
 
 ## Model description
 
@@ -45,9 +58,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| No log        | 1.0   | 8    | 1.6632          | 35.3863 | 25.955 | 31.4867 | 34.0508   | 20.0    |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 1.9931        | 1.0   | 879  | 1.5671          | 27.8379 | 16.2683 | 24.1898 | 25.5234   | 20.0    |
 
 
 ### Framework versions

pytorch_model.bin

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runs/Aug23_09-27-55_ip-172-16-147-34/1629710885.6860564/events.out.tfevents.1629710885.ip-172-16-147-34.32749.7

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runs/Aug23_09-27-55_ip-172-16-147-34/events.out.tfevents.1629710885.ip-172-16-147-34.32749.6

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training_args.bin

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