End of training

README.md

@@ -18,10 +18,10 @@ 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:
 - Loss: 1.2348
-- Rouge1: 15.9042
-- Rouge2: 11.455
-- Rougel: 15.0594
-- Rougelsum: 15.711
+- Rouge1: 15.914
+- Rouge2: 11.4643
+- Rougel: 15.0641
+- Rougelsum: 15.7116
 - Bleu-1: 0.0039
 - Bleu-2: 0.0035
 - Bleu-3: 0.0034
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:------:|:------:|:------:|:------:|:-------:|
-| 2.5051        | 1.0   | 28600 | 1.2348          | 15.9042 | 11.455 | 15.0594 | 15.711    | 0.0039 | 0.0035 | 0.0034 | 0.0033 | 20.0    |
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2  | Rougel  | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:------:|:-------:|
+| 2.5051        | 1.0   | 28600 | 1.2348          | 15.914 | 11.4643 | 15.0641 | 15.7116   | 0.0039 | 0.0035 | 0.0034 | 0.0033 | 20.0    |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 557971229