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: 0.3587
-- Accuracy: 0.8567
-- F1: 0.8599
+- Loss: 0.0002
+- Accuracy: 1.0
+- F1: 0.0
 
 ## Model description
 
@@ -54,6 +54,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.39.3
-- Pytorch 1.11.0+cu113
+- Pytorch 2.2.1+cu121
 - Datasets 2.18.0
 - Tokenizers 0.15.2

runs/Apr15_13-43-11_ea3b33897f0d/events.out.tfevents.1713188933.ea3b33897f0d.1484.1

@@ -0,0 +1,3 @@
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+size 457