End of training

README.md

@@ -1,8 +1,6 @@
 ---
 tags:
 - generated_from_trainer
-metrics:
-- rouge
 model-index:
 - name: bart-base-re-attention-seq-512
   results: []
@@ -14,13 +12,6 @@ should probably proofread and complete it, then remove this comment. -->
 # bart-base-re-attention-seq-512
 
 This model was trained from scratch on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.0182
-- Rouge1: 31.4073
-- Rouge2: 21.1126
-- Rougel: 27.9695
-- Rougelsum: 30.6983
-- Gen Len: 89.5188
 
 ## Model description
 
@@ -47,13 +38,6 @@ 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 | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 2.1392        | 1.0   | 18247 | 1.0182          | 31.4073 | 21.1126 | 27.9695 | 30.6983   | 89.5188 |
-
-
 ### Framework versions
 
 - Transformers 4.33.0

pytorch_model.bin

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