End of training

README.md

@@ -18,9 +18,9 @@ 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: 0.4449
-- Accuracy: 0.7862
-- F1: 0.3979
+- Loss: 0.1720
+- Accuracy: 0.9396
+- F1: 0.9239
 
 ## Model description
 
@@ -55,5 +55,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.16.0
+- Datasets 2.16.1
 - Tokenizers 0.15.0

runs/Jan01_08-20-57_3cd90f559155/events.out.tfevents.1704098753.3cd90f559155.3321.1

@@ -0,0 +1,3 @@
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+oid sha256:f9729b27f8ed700873e5fd60cb5c14a558aa4fc352ea1e55021fd7996d8da2e1
+size 450