End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 39.6659
+      value: 41.4993
 ---
 
 <!-- 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 [t5-small](https://huggingface.co/t5-small) on the samsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8586
-- Rouge1: 39.6659
-- Rouge2: 17.1753
-- Rougel: 33.2244
-- Rougelsum: 36.8446
-- Gen Len: 16.1577
+- Loss: 1.7347
+- Rouge1: 41.4993
+- Rouge2: 18.6768
+- Rougel: 34.8901
+- Rougelsum: 38.434
+- Gen Len: 16.533
 
 ## Model description
 
@@ -63,14 +63,17 @@ 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: 1
+- num_epochs: 4
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 2.0613        | 1.0   | 3683 | 1.8586          | 39.6659 | 17.1753 | 33.2244 | 36.8446   | 16.1577 |
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 1.9691        | 1.0   | 3683  | 1.7864          | 40.9391 | 18.2339 | 34.4773 | 38.0777   | 16.7017 |
+| 1.9213        | 2.0   | 7366  | 1.7533          | 41.4658 | 18.8086 | 34.8947 | 38.3528   | 16.5208 |
+| 1.8757        | 3.0   | 11049 | 1.7367          | 41.641  | 18.7355 | 35.0432 | 38.5403   | 16.544  |
+| 1.8484        | 4.0   | 14732 | 1.7347          | 41.4993 | 18.6768 | 34.8901 | 38.434    | 16.533  |
 
 
 ### Framework versions

runs/Oct21_20-28-05_1182f181c872/events.out.tfevents.1729542493.1182f181c872.1238.1

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+size 14537