Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 0.412
+      value: 0.4139
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,12 +33,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the samsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3108
-- Rouge1: 0.412
-- Rouge2: 0.2104
-- Rougel: 0.3182
-- Rougelsum: 0.3185
-- Gen Len: 60.1039
+- Loss: 0.3028
+- Rouge1: 0.4139
+- Rouge2: 0.2105
+- Rougel: 0.3191
+- Rougelsum: 0.3193
+- Gen Len: 60.0134
 
 ## Model description
 
@@ -73,9 +73,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 0.2975        | 0.8689 | 200  | 0.3024          | 0.4106 | 0.2109 | 0.3165 | 0.3168    | 60.5501 |
-| 0.2286        | 1.7377 | 400  | 0.3012          | 0.4098 | 0.2106 | 0.3175 | 0.3179    | 60.1993 |
-| 0.1752        | 2.6066 | 600  | 0.3108          | 0.412  | 0.2104 | 0.3182 | 0.3185    | 60.1039 |
+| 2.9128        | 0.4344 | 100  | 0.3621          | 0.3984 | 0.1999 | 0.3038 | 0.3038    | 60.8888 |
+| 0.3205        | 0.8689 | 200  | 0.3097          | 0.4102 | 0.2138 | 0.3186 | 0.3188    | 60.6345 |
+| 0.2702        | 1.3033 | 300  | 0.3041          | 0.4159 | 0.211  | 0.3179 | 0.3179    | 60.077  |
+| 0.251         | 1.7377 | 400  | 0.2964          | 0.4191 | 0.2154 | 0.3229 | 0.3233    | 59.9022 |
+| 0.2262        | 2.1721 | 500  | 0.3055          | 0.4135 | 0.208  | 0.3178 | 0.3179    | 60.4132 |
+| 0.1906        | 2.6066 | 600  | 0.3028          | 0.4139 | 0.2105 | 0.3191 | 0.3193    | 60.0134 |
 
 
 ### Framework versions