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: 1.0875
-- F1: 0.3778
+- Loss: 0.8874
+- F1: 0.4567
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 46
-- eval_batch_size: 46
+- 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
@@ -50,11 +50,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 2.0532        | 1.69  | 100  | 1.7911          | 0.1191 |
-| 1.6923        | 3.39  | 200  | 1.4958          | 0.2426 |
-| 1.48          | 5.08  | 300  | 1.2994          | 0.2989 |
-| 1.3375        | 6.78  | 400  | 1.1620          | 0.3514 |
-| 1.2391        | 8.47  | 500  | 1.0875          | 0.3778 |
+| 2.0846        | 1.18  | 100  | 1.7960          | 0.1332 |
+| 1.7183        | 2.35  | 200  | 1.5586          | 0.2069 |
+| 1.528         | 3.53  | 300  | 1.3556          | 0.2878 |
+| 1.3757        | 4.71  | 400  | 1.2125          | 0.3072 |
+| 1.2765        | 5.88  | 500  | 1.0967          | 0.3505 |
+| 1.1601        | 7.06  | 600  | 0.9844          | 0.4100 |
+| 1.0878        | 8.24  | 700  | 0.9205          | 0.4360 |
+| 1.0269        | 9.41  | 800  | 0.8874          | 0.4567 |
 
 
 ### Framework versions