End of training

README.md

@@ -20,11 +20,11 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3406
-- Accuracy: 0.9138
-- F1: 0.9150
-- Precision: 0.9057
-- Recall: 0.9245
+- Loss: 0.2687
+- Accuracy: 0.9145
+- F1: 0.9148
+- Precision: 0.9153
+- Recall: 0.9142
 
 ## Model description
 
@@ -49,7 +49,7 @@ 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: 3
+- num_epochs: 2
 
 ### Training results
 

runs/Nov28_06-59-17_ed7e1ab1098e/events.out.tfevents.1701157645.ed7e1ab1098e.279.17

@@ -0,0 +1,3 @@
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+size 560