End of training

README.md

@@ -16,7 +16,7 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4006
+- Loss: 1.4085
 
 ## Model description
 
@@ -36,8 +36,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 16
+- eval_batch_size: 16
 - 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
@@ -47,9 +47,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.3563        | 1.0   | 18   | 1.3977          |
-| 1.3455        | 2.0   | 36   | 1.3976          |
-| 1.3142        | 3.0   | 54   | 1.4006          |
+| No log        | 1.0   | 9    | 1.3932          |
+| 1.1498        | 2.0   | 18   | 1.4029          |
+| 1.1305        | 3.0   | 27   | 1.4085          |
 
 
 ### Framework versions