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 becasv2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.6448
+- Loss: 2.5760
 
 ## Model description
 
@@ -35,24 +35,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 5e-05
+- train_batch_size: 11
+- eval_batch_size: 11
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 6
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 5    | 3.5817          |
-| No log        | 2.0   | 10   | 2.9636          |
-| No log        | 3.0   | 15   | 2.6857          |
-| No log        | 4.0   | 20   | 2.6310          |
-| No log        | 5.0   | 25   | 2.6331          |
-| No log        | 6.0   | 30   | 2.6448          |
+| No log        | 1.0   | 6    | 4.3366          |
+| No log        | 2.0   | 12   | 3.1395          |
+| No log        | 3.0   | 18   | 2.6092          |
+| No log        | 4.0   | 24   | 2.5084          |
+| No log        | 5.0   | 30   | 2.5760          |
 
 
 ### Framework versions