End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2784
-- Accuracy: 0.9667
-- F1: 0.9697
-- Precision: 0.9412
-- Recall: 1.0
+- Loss: 0.6372
+- Accuracy: 0.8333
+- F1: 0.8148
+- Precision: 1.0
+- Recall: 0.6875
 
 ## Model description
 
@@ -58,7 +58,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.46.2
+- Transformers 4.46.3
 - Pytorch 2.5.1+cu121
 - Datasets 3.1.0
 - Tokenizers 0.20.3

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