update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3753
-- F1: 0.7713
+- Loss: 0.4966
+- F1: 0.7819
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -50,12 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.4679        | 1.14  | 400  | 0.4074          | 0.7437 |
-| 0.3421        | 2.29  | 800  | 0.3773          | 0.7755 |
-| 0.3142        | 3.43  | 1200 | 0.3664          | 0.7747 |
-| 0.2786        | 4.57  | 1600 | 0.3753          | 0.7713 |
-| 0.275         | 5.71  | 2000 | 0.3753          | 0.7713 |
-| 0.2785        | 6.86  | 2400 | 0.3753          | 0.7713 |
+| 0.4091        | 1.14  | 400  | 0.3794          | 0.7781 |
+| 0.2892        | 2.29  | 800  | 0.4185          | 0.7787 |
+| 0.2159        | 3.43  | 1200 | 0.4611          | 0.7906 |
+| 0.1635        | 4.57  | 1600 | 0.4966          | 0.7819 |
 
 
 ### Framework versions