en

README.md

@@ -1,4 +1,6 @@
 ---
+language:
+- en
 license: apache-2.0
 tags:
 - generated_from_trainer
@@ -21,7 +23,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 47.4145
+      value: 46.5595
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,12 +33,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3772
-- Rouge1: 47.4145
-- Rouge2: 23.9579
-- Rougel: 40.0508
-- Rougelsum: 43.7144
-- Gen Len: 17.3162
+- Loss: 1.3822
+- Rouge1: 46.5595
+- Rouge2: 22.9243
+- Rougel: 39.0902
+- Rougelsum: 42.934
+- Gen Len: 17.2308
 
 ## Model description
 
@@ -61,17 +63,13 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 1.4264        | 1.0   | 1842 | 1.3829          | 46.4916 | 23.1227 | 39.444  | 42.9025   | 17.0977 |
-| 1.3527        | 2.0   | 3684 | 1.3732          | 47.0694 | 23.4769 | 39.5942 | 43.2226   | 17.4554 |
-| 1.2554        | 3.0   | 5526 | 1.3709          | 46.8801 | 23.3161 | 39.5423 | 43.1581   | 17.2027 |
-| 1.2503        | 4.0   | 7368 | 1.3736          | 47.4138 | 23.7437 | 40.0016 | 43.6108   | 17.2198 |
-| 1.1675        | 5.0   | 9210 | 1.3772          | 47.4145 | 23.9579 | 40.0508 | 43.7144   | 17.3162 |
+| 1.5156        | 1.0   | 1842 | 1.3822          | 46.5595 | 22.9243 | 39.0902 | 42.934    | 17.2308 |
 
 
 ### Framework versions