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 [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the sqac dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8586
+- Loss: 0.8967
 
 ## Model description
 
@@ -36,8 +36,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 12
+- eval_batch_size: 12
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -47,8 +47,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.9769        | 1.0   | 1196 | 0.8422          |
-| 0.4593        | 2.0   | 2392 | 0.8586          |
+| 0.93          | 1.0   | 1594 | 0.8531          |
+| 0.4279        | 2.0   | 3188 | 0.8967          |
 
 
 ### Framework versions