update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9428571428571428
+      value: 0.9396825396825397
     - name: F1
       type: f1
-      value: 0.9428847892722086
+      value: 0.9393057427148881
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the indonlu dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2296
-- Accuracy: 0.9429
-- F1: 0.9429
+- Loss: 0.3707
+- Accuracy: 0.9397
+- F1: 0.9393
 
 ## Model description
 
@@ -60,19 +60,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.2409        | 1.0   | 688  | 0.2098          | 0.9413   | 0.9414 |
-| 0.1091        | 2.0   | 1376 | 0.2296          | 0.9429   | 0.9429 |
+| 0.2458        | 1.0   | 688  | 0.2229          | 0.9325   | 0.9323 |
+| 0.1258        | 2.0   | 1376 | 0.2332          | 0.9373   | 0.9369 |
+| 0.059         | 3.0   | 2064 | 0.3389          | 0.9365   | 0.9365 |
+| 0.0268        | 4.0   | 2752 | 0.3412          | 0.9421   | 0.9417 |
+| 0.0097        | 5.0   | 3440 | 0.3707          | 0.9397   | 0.9393 |
 
 
 ### Framework versions
 
-- Transformers 4.17.0
-- Pytorch 1.10.0+cu111
-- Datasets 2.0.0
-- Tokenizers 0.11.6
+- Transformers 4.18.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.1.0
+- Tokenizers 0.12.1