update model card README.md

README.md

@@ -16,9 +16,9 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5296
-- Exact Match: 48.5657
-- F1: 64.5763
+- Loss: 1.5061
+- Exact Match: 48.9695
+- F1: 65.3139
 
 ## Model description
 
@@ -38,10 +38,10 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 2
+- eval_batch_size: 2
 - seed: 42
-- gradient_accumulation_steps: 32
+- gradient_accumulation_steps: 64
 - total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -51,27 +51,29 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Exact Match | F1      |
 |:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
-| 2.0185        | 0.5   | 463  | 1.8556          | 39.4128     | 54.9486 |
-| 1.8481        | 1.0   | 926  | 1.6794          | 43.1985     | 58.7955 |
-| 1.6413        | 1.5   | 1389 | 1.6081          | 45.2091     | 61.6638 |
-| 1.611         | 2.0   | 1852 | 1.5670          | 45.9241     | 62.7351 |
-| 1.4929        | 2.5   | 2315 | 1.5571          | 46.5298     | 63.3878 |
-| 1.5119        | 3.0   | 2778 | 1.5222          | 47.2785     | 64.2211 |
-| 1.3955        | 3.5   | 3241 | 1.5285          | 47.6235     | 64.2546 |
-| 1.3643        | 4.0   | 3704 | 1.5133          | 47.9179     | 64.1430 |
-| 1.3277        | 4.5   | 4167 | 1.5223          | 47.8927     | 64.3061 |
-| 1.3058        | 5.0   | 4630 | 1.5126          | 48.6498     | 64.5757 |
-| 1.2847        | 5.5   | 5093 | 1.5154          | 48.4479     | 64.5972 |
-| 1.1984        | 6.0   | 5556 | 1.5289          | 48.4815     | 64.4181 |
-| 1.1817        | 6.5   | 6019 | 1.5277          | 48.4395     | 64.7923 |
-| 1.2203        | 7.0   | 6482 | 1.5134          | 48.5404     | 64.5935 |
-| 1.1492        | 7.5   | 6945 | 1.5412          | 48.6330     | 64.6696 |
-| 1.1567        | 8.0   | 7408 | 1.5296          | 48.5657     | 64.5763 |
+| 2.0131        | 0.5   | 463  | 1.8398          | 39.7325     | 55.0682 |
+| 1.8343        | 1.0   | 926  | 1.6799          | 42.9545     | 58.8261 |
+| 1.6407        | 1.5   | 1389 | 1.6097          | 45.1502     | 61.1235 |
+| 1.6021        | 2.0   | 1852 | 1.5634          | 46.0167     | 62.5172 |
+| 1.4841        | 2.5   | 2315 | 1.5438          | 46.5971     | 63.4037 |
+| 1.5117        | 3.0   | 2778 | 1.5080          | 47.2028     | 64.1405 |
+| 1.3752        | 3.5   | 3241 | 1.5149          | 47.6487     | 64.3195 |
+| 1.3491        | 4.0   | 3704 | 1.4956          | 47.8927     | 64.4993 |
+| 1.3068        | 4.5   | 4167 | 1.4951          | 48.0861     | 64.7876 |
+| 1.2916        | 5.0   | 4630 | 1.4895          | 48.3722     | 64.9676 |
+| 1.2593        | 5.5   | 5093 | 1.4954          | 48.5909     | 65.1206 |
+| 1.2032        | 6.0   | 5556 | 1.4891          | 48.5236     | 65.0831 |
+| 1.1826        | 6.5   | 6019 | 1.4944          | 48.6077     | 65.0162 |
+| 1.2159        | 7.0   | 6482 | 1.4870          | 48.9526     | 65.1941 |
+| 1.1503        | 7.5   | 6945 | 1.5074          | 48.8180     | 65.3672 |
+| 1.1683        | 8.0   | 7408 | 1.4928          | 48.7760     | 65.2063 |
+| 1.0898        | 8.5   | 7871 | 1.5141          | 48.7844     | 65.0996 |
+| 1.1217        | 9.0   | 8334 | 1.5061          | 48.9695     | 65.3139 |
 
 
 ### Framework versions
 
-- Transformers 4.27.4
+- Transformers 4.26.1
 - Pytorch 1.13.1+cu117
 - Datasets 2.2.0
 - Tokenizers 0.13.2