Model save

README.md

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 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: 0.4686
-- F1 Macro: 0.8896
-- F1: 0.9235
-- F1 Neg: 0.8556
+- Loss: 0.4190
+- F1 Macro: 0.8899
+- F1: 0.9232
+- F1 Neg: 0.8566
 - Acc: 0.9
-- Prec: 0.9253
-- Recall: 0.9218
-- Mcc: 0.7791
+- Prec: 0.9286
+- Recall: 0.9179
+- Mcc: 0.7800
 
 ## Model description
 
@@ -60,7 +60,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.38.2
-- Pytorch 2.2.1+cu121
-- Datasets 2.18.0
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.16.1
 - Tokenizers 0.15.2

runs/Mar08_21-35-07_tardis/events.out.tfevents.1709930280.tardis.3055.1

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+size 699