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 [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the tydiqa dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4999
+- Loss: 2.3210
 
 ## Model description
 
@@ -36,8 +36,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 24
+- eval_batch_size: 24
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.919         | 1.0   | 362  | 2.9060          |
-| 1.691         | 2.0   | 724  | 2.3301          |
-| 1.2875        | 3.0   | 1086 | 2.2975          |
-| 1.0796        | 4.0   | 1448 | 2.2565          |
-| 0.9246        | 5.0   | 1810 | 2.1829          |
-| 0.7948        | 6.0   | 2172 | 2.2602          |
-| 0.7139        | 7.0   | 2534 | 2.3786          |
-| 0.6345        | 8.0   | 2896 | 2.3917          |
-| 0.5932        | 9.0   | 3258 | 2.4541          |
-| 0.5576        | 10.0  | 3620 | 2.4999          |
+| 3.162         | 1.0   | 241  | 3.2961          |
+| 1.9671        | 2.0   | 482  | 2.4509          |
+| 1.457         | 3.0   | 723  | 2.3005          |
+| 1.2349        | 4.0   | 964  | 2.2628          |
+| 1.0681        | 5.0   | 1205 | 2.1436          |
+| 0.9338        | 6.0   | 1446 | 2.1978          |
+| 0.8523        | 7.0   | 1687 | 2.2780          |
+| 0.7909        | 8.0   | 1928 | 2.2481          |
+| 0.725         | 9.0   | 2169 | 2.2912          |
+| 0.6977        | 10.0  | 2410 | 2.3210          |
 
 
 ### Framework versions