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: 0.5119
-- F1 Macro: 0.8755
-- F1: 0.9161
-- F1 Neg: 0.8349
-- Acc: 0.8888
-- Prec: 0.9050
-- Recall: 0.9275
-- Mcc: 0.7516
+- Loss: 0.8953
+- F1 Macro: 0.8797
+- F1: 0.9208
+- F1 Neg: 0.8387
+- Acc: 0.8938
+- Prec: 0.8998
+- Recall: 0.9427
+- Mcc: 0.7617
 
 ## Model description
 
@@ -51,7 +51,7 @@ The following hyperparameters were used during training:
 - distributed_type: multi-GPU
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results

runs/Mar12_12-55-21_tardis/events.out.tfevents.1710245014.tardis.118975.3

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