Model save

README.md

@@ -18,7 +18,7 @@ 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: 0.4641
+- Loss: 0.4481
 - F1 Macro: 0.8845
 - F1: 0.9232
 - F1 Neg: 0.8459
@@ -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_17-29-54_tardis/events.out.tfevents.1710174769.tardis.80726.3

@@ -0,0 +1,3 @@
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+size 699