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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3765
-- F1 Macro: 0.8988
-- F1: 0.9360
-- F1 Neg: 0.8617
-- Acc: 0.9125
-- Prec: 0.9209
-- Recall: 0.9517
-- Mcc: 0.7989
+- Loss: 0.4815
+- F1 Macro: 0.8848
+- F1: 0.9231
+- F1 Neg: 0.8464
+- Acc: 0.8975
+- Prec: 0.9318
+- Recall: 0.9145
+- Mcc: 0.7699
 
 ## 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    |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
-| 0.5022        | 1.0   | 824  | 0.4717          | 0.8752   | 0.9102 | 0.8403 | 0.885  | 0.9102 | 0.9102 | 0.7504 |
-| 0.3452        | 2.0   | 1648 | 0.4330          | 0.8882   | 0.9245 | 0.8519 | 0.9    | 0.8942 | 0.9570 | 0.7808 |
-| 0.2232        | 3.0   | 2472 | 0.5604          | 0.8652   | 0.9060 | 0.8244 | 0.8775 | 0.8906 | 0.9219 | 0.7314 |
+| 0.5303        | 1.0   | 841  | 0.4184          | 0.8592   | 0.9064 | 0.8120 | 0.875  | 0.8705 | 0.9453 | 0.7249 |
+| 0.4           | 2.0   | 1682 | 0.5169          | 0.8800   | 0.9187 | 0.8413 | 0.8925 | 0.8901 | 0.9492 | 0.7640 |
+| 0.2366        | 3.0   | 2523 | 0.5097          | 0.8947   | 0.9234 | 0.8660 | 0.9025 | 0.9289 | 0.9180 | 0.7895 |
 
 
 ### Framework versions

runs/Mar26_08-57-18_tardis/events.out.tfevents.1711440682.tardis.1123859.1

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