update model card README.md

README.md

@@ -1,8 +1,8 @@
 ---
 tags:
 - generated_from_trainer
-datasets:
-- amazon_reviews_multi
+metrics:
+- rouge
 model-index:
 - name: bert2bert_shared-spanish-finetuned-summarization-finetuned-xsum
   results: []
@@ -13,7 +13,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert2bert_shared-spanish-finetuned-summarization-finetuned-xsum
 
-This model is a fine-tuned version of [mrm8488/bert2bert_shared-spanish-finetuned-summarization](https://huggingface.co/mrm8488/bert2bert_shared-spanish-finetuned-summarization) on the amazon_reviews_multi dataset.
+This model is a fine-tuned version of [mrm8488/bert2bert_shared-spanish-finetuned-summarization](https://huggingface.co/mrm8488/bert2bert_shared-spanish-finetuned-summarization) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3690
+- Rouge1: 50.02
+- Rouge2: 35.706
+- Rougel: 46.6253
+- Rougelsum: 46.6412
+- Gen Len: 22.1176
 
 ## Model description
 
@@ -38,9 +45,17 @@ 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: 1
+- num_epochs: 2
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.5969        | 1.0   | 3090 | 2.4559          | 49.4282 | 35.2705 | 46.095  | 46.0994   | 22.5422 |
+| 2.3318        | 2.0   | 6180 | 2.3690          | 50.02   | 35.706  | 46.6253 | 46.6412   | 22.1176 |
+
+
 ### Framework versions
 
 - Transformers 4.24.0