Model save

README.md

@@ -17,14 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4738
-- F1 Macro: 0.7848
-- F1: 0.8370
-- F1 Neg: 0.7327
-- Acc: 0.7975
-- Prec: 0.8631
-- Recall: 0.8125
-- Mcc: 0.5722
+- Loss: 0.5120
+- F1 Macro: 0.7346
+- F1: 0.8315
+- F1 Neg: 0.6378
+- Acc: 0.77
+- Prec: 0.7828
+- Recall: 0.8867
+- Mcc: 0.4829
 
 ## Model description
 
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1     | F1 Neg | Acc    | Prec   | Recall | Mcc    |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
-| 0.6845        | 1.0   | 1161 | 0.6190          | 0.6706   | 0.7085 | 0.6328 | 0.675  | 0.8316 | 0.6172 | 0.3796 |
-| 0.5137        | 2.0   | 2322 | 0.5512          | 0.7170   | 0.8366 | 0.5974 | 0.7675 | 0.7604 | 0.9297 | 0.4757 |
-| 0.3724        | 3.0   | 3483 | 0.4738          | 0.7848   | 0.8370 | 0.7327 | 0.7975 | 0.8631 | 0.8125 | 0.5722 |
+| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1     | F1 Neg | Acc   | Prec   | Recall | Mcc    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:-----:|:------:|:------:|:------:|
+| 0.6427        | 1.0   | 600  | 0.6329          | 0.6619   | 0.6941 | 0.6298 | 0.665 | 0.8352 | 0.5938 | 0.3715 |
+| 0.5445        | 2.0   | 1200 | 0.5193          | 0.7363   | 0.8233 | 0.6493 | 0.765 | 0.7935 | 0.8555 | 0.4770 |
+| 0.4446        | 3.0   | 1800 | 0.5120          | 0.7346   | 0.8315 | 0.6378 | 0.77  | 0.7828 | 0.8867 | 0.4829 |
 
 
 ### Framework versions