DunnBC22
/

led-base-16384-text_summarization_data

text2text-generation

Generated from Trainer

Inference Endpoints

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DunnBC22 commited on Jul 24, 2023

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@@ -19,8 +19,8 @@ It achieves the following results on the evaluation set:
 - Loss: 0.9531
 - Rouge1: 43.3689
 - Rouge2: 19.9885
-- Rougel: 39.9887
-- Rougelsum: 40.0679
 - Gen Len: 14.0392
 ## Model description
@@ -52,7 +52,7 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
 | 1.329         | 1.0   | 1197 | 0.9704          | 42.4111 | 19.8995 | 39.4717 | 39.5449   | 14.254  |
 | 0.8367        | 2.0   | 2394 | 0.9425          | 43.1141 | 19.6089 | 39.7533 | 39.8298   | 14.1058 |

 - Loss: 0.9531
 - Rouge1: 43.3689
 - Rouge2: 19.9885
+- RougeL: 39.9887
+- RougeLsum: 40.0679
 - Gen Len: 14.0392
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | RougeL  | RougeLsum | General Length |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
 | 1.329         | 1.0   | 1197 | 0.9704          | 42.4111 | 19.8995 | 39.4717 | 39.5449   | 14.254  |
 | 0.8367        | 2.0   | 2394 | 0.9425          | 43.1141 | 19.6089 | 39.7533 | 39.8298   | 14.1058 |