End of training

README.md

@@ -13,16 +13,16 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/be-project-11/Accelerate-Runs/runs/2o2m672x)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/be-project-11/Accelerate-Runs/runs/couc8tv9)
 # long-t5-scisumm-accelerate-v2
 
 This model is a fine-tuned version of [pszemraj/long-t5-tglobal-base-sci-simplify](https://huggingface.co/pszemraj/long-t5-tglobal-base-sci-simplify) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.0496
-- Rouge1: 39.9422
-- Rouge2: 14.8034
-- Rougel: 25.7979
-- Rougelsum: 36.2974
+- Rouge1: 39.8436
+- Rouge2: 14.763
+- Rougel: 25.6676
+- Rougelsum: 36.482
 - Gen Len: 103.02
 
 ## Model description
@@ -57,9 +57,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 1.0771        | 0.9868 | 28   | 1.0594          | 39.2877 | 13.6143 | 25.1625 | 35.3087   | 111.22  |
-| 1.0193        | 1.9736 | 56   | 1.0530          | 39.1123 | 14.7285 | 25.592  | 35.2389   | 110.14  |
-| 0.9545        | 2.9604 | 84   | 1.0496          | 39.9422 | 14.8034 | 25.7979 | 36.2974   | 103.02  |
+| 1.0771        | 0.9868 | 28   | 1.0594          | 39.2592 | 13.6097 | 25.1508 | 35.285    | 111.22  |
+| 1.0193        | 1.9736 | 56   | 1.0530          | 39.1521 | 14.855  | 25.4706 | 35.3713   | 110.14  |
+| 0.9545        | 2.9604 | 84   | 1.0496          | 39.8436 | 14.763  | 25.6676 | 36.482    | 103.02  |
 
 
 ### Framework versions