update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+metrics:
+- rouge
 model-index:
 - name: bart-base-finetuned-xsum
   results: []
@@ -14,17 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 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:
-- eval_loss: 1.4907
-- eval_rouge1: 10.7656
-- eval_rouge2: 5.3792
-- eval_rougeL: 9.0111
-- eval_rougeLsum: 10.1528
-- eval_gen_len: 20.0
-- eval_runtime: 1086.6403
-- eval_samples_per_second: 11.388
-- eval_steps_per_second: 0.712
-- epoch: 7.0
-- step: 21658
+- Loss: 1.8406
+- Rouge1: 10.5116
+- Rouge2: 4.8263
+- Rougel: 8.5616
+- Rougelsum: 9.8397
+- Gen Len: 20.0
 
 ## Model description
 
@@ -49,7 +46,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
+| 1.747         | 1.0   | 3094 | 1.8406          | 10.5116 | 4.8263 | 8.5616 | 9.8397    | 20.0    |
+
 
 ### Framework versions