End of training

README.md

@@ -1,6 +1,8 @@
 ---
 tags:
 - generated_from_trainer
+metrics:
+- rouge
 model-index:
 - name: bart-base-re-attention-full-length
   results: []
@@ -12,6 +14,13 @@ should probably proofread and complete it, then remove this comment. -->
 # bart-base-re-attention-full-length
 
 This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3660
+- Rouge1: 20.9024
+- Rouge2: 15.8349
+- Rougel: 19.8646
+- Rougelsum: 20.6285
+- Gen Len: 25.6842
 
 ## Model description
 
@@ -39,6 +48,13 @@ The following hyperparameters were used during training:
 - num_epochs: 1
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.0596        | 1.0   | 14207 | 1.3660          | 20.9024 | 15.8349 | 19.8646 | 20.6285   | 25.6842 |
+
+
 ### Framework versions
 
 - Transformers 4.35.0

model.safetensors

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