End of training

README.md

@@ -19,9 +19,9 @@ 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: 0.3838
-- Accuracy: 0.907
-- F1: 0.9093
+- Loss: 0.2778
+- Accuracy: 0.9009
+- F1: 0.9039
 
 ## Model description
 
@@ -41,8 +41,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 128
+- eval_batch_size: 128
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear

runs/Dec14_05-39-12_3ade7be2c446/events.out.tfevents.1734154755.3ade7be2c446.23.0

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runs/Dec14_05-39-12_3ade7be2c446/events.out.tfevents.1734159692.3ade7be2c446.23.1

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