End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4542
-- Accuracy: 0.8754
+- Loss: 0.3775
+- Accuracy: 0.8743
 
 ## Model description
 
@@ -39,21 +39,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4857        | 1.0   | 1503 | 0.3998          | 0.8574   |
-| 0.3333        | 2.0   | 3006 | 0.3843          | 0.8720   |
-| 0.2541        | 3.0   | 4509 | 0.3999          | 0.8776   |
-| 0.2024        | 4.0   | 6012 | 0.4542          | 0.8754   |
+| 0.4924        | 1.0   | 752  | 0.3879          | 0.8641   |
+| 0.3308        | 2.0   | 1504 | 0.3827          | 0.8746   |
+| 0.2688        | 3.0   | 2256 | 0.3775          | 0.8743   |
 
 
 ### Framework versions

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