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: 0.1548
-- Accuracy: 0.8958
-- F1: 0.9451
+- Loss: 0.1248
+- Accuracy: 0.9167
+- F1: 0.9556
 
 ## 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: 3
 
 ### Training results
 

runs/Feb25_11-25-09_d02f9bcc0aeb/events.out.tfevents.1708860360.d02f9bcc0aeb.1098.11

@@ -0,0 +1,3 @@
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+size 450