Model save

README.md

@@ -18,14 +18,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3476
-- F1 Macro: 0.8986
-- F1: 0.9326
-- F1 Neg: 0.8647
-- Acc: 0.91
-- Prec: 0.9396
-- Recall: 0.9257
-- Mcc: 0.7975
+- Loss: 0.4152
+- F1 Macro: 0.8830
+- F1: 0.9242
+- F1 Neg: 0.8417
+- Acc: 0.8975
+- Prec: 0.9191
+- Recall: 0.9294
+- Mcc: 0.7660
 
 ## Model description
 
@@ -58,9 +58,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1     | F1 Neg | Acc    | Prec   | Recall | Mcc    |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
-| No log        | 1.0   | 400  | 0.6003          | 0.7473   | 0.8654 | 0.6291 | 0.8025 | 0.7674 | 0.9922 | 0.5812 |
-| 0.4396        | 2.0   | 800  | 0.3386          | 0.8839   | 0.9155 | 0.8522 | 0.8925 | 0.9209 | 0.9102 | 0.7679 |
-| 0.2546        | 3.0   | 1200 | 0.3809          | 0.8982   | 0.9290 | 0.8674 | 0.9075 | 0.9132 | 0.9453 | 0.7975 |
+| No log        | 1.0   | 400  | 0.4989          | 0.7731   | 0.8735 | 0.6726 | 0.8175 | 0.7850 | 0.9844 | 0.6091 |
+| 0.4265        | 2.0   | 800  | 0.3927          | 0.8817   | 0.9175 | 0.8459 | 0.8925 | 0.9019 | 0.9336 | 0.7644 |
+| 0.2452        | 3.0   | 1200 | 0.4323          | 0.8901   | 0.9231 | 0.8571 | 0.9    | 0.9091 | 0.9375 | 0.7811 |
 
 
 ### Framework versions