End of training

README.md

@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8314
-- Rouge1: 0.4852
-- Rouge2: 0.2152
-- Rougel: 0.3758
-- Rougelsum: 0.3758
-- Gen Len: 44.2945
+- Loss: 1.7715
+- Rouge1: 0.4781
+- Rouge2: 0.2085
+- Rougel: 0.3718
+- Rougelsum: 0.372
+- Gen Len: 41.3245
 
 ## Model description
 
@@ -54,10 +54,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 1.7164        | 1.0   | 625  | 1.7203          | 0.4723 | 0.209  | 0.3674 | 0.3668    | 44.1491 |
-| 1.3424        | 2.0   | 1250 | 1.6998          | 0.484  | 0.2166 | 0.37   | 0.3695    | 45.3727 |
-| 1.1171        | 3.0   | 1875 | 1.7546          | 0.4824 | 0.2144 | 0.3728 | 0.3728    | 43.7636 |
-| 0.8193        | 4.0   | 2500 | 1.8314          | 0.4852 | 0.2152 | 0.3758 | 0.3758    | 44.2945 |
+| 1.6623        | 1.0   | 1250 | 1.6705          | 0.4681 | 0.2057 | 0.3632 | 0.3631    | 43.4718 |
+| 1.2986        | 2.0   | 2500 | 1.6330          | 0.476  | 0.2105 | 0.3732 | 0.3737    | 39.9745 |
+| 1.0401        | 3.0   | 3750 | 1.7081          | 0.4792 | 0.2134 | 0.3762 | 0.3763    | 40.6155 |
+| 0.8853        | 4.0   | 5000 | 1.7715          | 0.4781 | 0.2085 | 0.3718 | 0.372     | 41.3245 |
 
 
 ### Framework versions

runs/Dec15_00-50-24_mgrqu6ctr1702517804785-49zpx/events.out.tfevents.1702572632.mgrqu6ctr1702517804785-49zpx.161214.0

@@ -1,3 +1,3 @@
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-size 8541
+oid sha256:31a95534dc7365106d26063326cd2fd8c8dcd89cb39764c3aa505c3c6715278e
+size 9420