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: 0.4211
-- F1 Macro: 0.8888
-- F1: 0.9241
-- F1 Neg: 0.8535
-- Acc: 0.9
-- Prec: 0.9189
-- Recall: 0.9294
-- Mcc: 0.7777
+- Loss: 0.4305
+- F1 Macro: 0.8945
+- F1: 0.9278
+- F1 Neg: 0.8613
+- Acc: 0.905
+- Prec: 0.9242
+- Recall: 0.9313
+- Mcc: 0.7891
 
 ## 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/Mar11_17-26-46_tardis/events.out.tfevents.1710174588.tardis.80726.1

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