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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2528
-- Accuracy: 0.9177
-- F1: 0.9190
+- Loss: 0.4235
+- Accuracy: 0.9103
+- F1: 0.9092
 
 ## Model description
 
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 4
 
 ### Training results
 

runs/Jan14_04-58-49_9c2eb67ede92/events.out.tfevents.1705212869.9c2eb67ede92.1464.1

@@ -0,0 +1,3 @@
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+oid sha256:306f0c56ee97ede026156b3fb389e37967b6fded046856d740642570dfb8326f
+size 457