update model card README.md

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5117
-- Matthews Correlation: 0.6122
+- Loss: 0.5972
+- Matthews Correlation: 0.5943
 
 ## Model description
 
@@ -44,8 +44,8 @@ The following hyperparameters were used during training:
 - seed: 42
 - distributed_type: IPU
 - gradient_accumulation_steps: 16
-- total_train_batch_size: 16
-- total_eval_batch_size: 5
+- total_train_batch_size: 64
+- total_eval_batch_size: 20
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 5
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.463         | 1.0   | 534  | 0.4146          | 0.5594               |
-| 0.4012        | 2.0   | 1068 | 0.4534          | 0.5976               |
-| 0.0672        | 3.0   | 1602 | 0.5117          | 0.6122               |
-| 0.0288        | 4.0   | 2136 | 0.5122          | 0.5993               |
-| 0.1674        | 5.0   | 2670 | 0.5874          | 0.6095               |
+| 0.3211        | 1.0   | 133  | 0.4109          | 0.5275               |
+| 0.2197        | 2.0   | 266  | 0.4934          | 0.5350               |
+| 0.1177        | 3.0   | 399  | 0.5571          | 0.5713               |
+| 0.0698        | 4.0   | 532  | 0.5366          | 0.5918               |
+| 0.1074        | 5.0   | 665  | 0.5972          | 0.5943               |
 
 
 ### Framework versions