update model card README.md

README.md

@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.8617
+- Loss: 2.5916
 
 ## Model description
 
@@ -33,8 +33,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -45,9 +45,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.3073        | 1.0   | 16   | 3.0974          |
-| 3.0255        | 2.0   | 32   | 2.8317          |
-| 2.9326        | 3.0   | 48   | 2.8294          |
+| 2.7968        | 1.0   | 63   | 2.6277          |
+| 2.7083        | 2.0   | 126  | 2.5672          |
+| 2.6599        | 3.0   | 189  | 2.5433          |
 
 
 ### Framework versions