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 the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3248
-- F1: 0.5982
-- Roc Auc: 0.7276
+- F1: 0.5983
+- Roc Auc: 0.7277
 - Accuracy: 0.4931
 
 ## Model description
@@ -51,7 +51,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
-| 0.34          | 1.0   | 73895 | 0.3248          | 0.5982 | 0.7276  | 0.4931   |
+| 0.3401        | 1.0   | 73895 | 0.3248          | 0.5983 | 0.7277  | 0.4931   |
 
 
 ### Framework versions

runs/Jul13_06-39-48_87ae0b563f04/events.out.tfevents.1720856804.87ae0b563f04.63.1

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