update model card README.md

README.md

@@ -16,7 +16,7 @@ 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 xsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5273
+- Loss: 2.4688
 
 ## Model description
 
@@ -41,8 +41,8 @@ The following hyperparameters were used during training:
 - seed: 42
 - distributed_type: IPU
 - gradient_accumulation_steps: 16
-- total_train_batch_size: 64
-- total_eval_batch_size: 20
+- total_train_batch_size: 16
+- total_eval_batch_size: 5
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 1
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 2.6962        | 1.0   | 3188 | 2.5273          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.7197        | 1.0   | 12752 | 2.4688          |
 
 
 ### Framework versions