End of training

README.md

@@ -17,10 +17,10 @@ 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: 0.2565
-- F1: 0.7134
-- Roc Auc: 0.8066
-- Accuracy: 0.6611
+- Loss: 0.2548
+- F1: 0.7143
+- Roc Auc: 0.8068
+- Accuracy: 0.6607
 
 ## Model description
 
@@ -51,7 +51,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
-| 0.2506        | 1.0   | 73895 | 0.2565          | 0.7134 | 0.8066  | 0.6611   |
+| 0.2499        | 1.0   | 73895 | 0.2548          | 0.7143 | 0.8068  | 0.6607   |
 
 
 ### Framework versions

runs/Jul09_09-38-56_c14a9cc1b344/events.out.tfevents.1720528517.c14a9cc1b344.34.1

@@ -0,0 +1,3 @@
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+size 516