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: 0.2745
-- Accuracy: 0.9015
-- F1: 0.9016
-- Precision: 0.9044
-- Recall: 0.8988
+- Loss: 0.3406
+- Accuracy: 0.9138
+- F1: 0.9150
+- Precision: 0.9057
+- Recall: 0.9245
 
 ## Model description
 
@@ -43,13 +43,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 2e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - 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/Nov28_05-35-35_ed7e1ab1098e/events.out.tfevents.1701154011.ed7e1ab1098e.279.15

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