End of training

README.md

@@ -17,9 +17,9 @@ 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: 0.7471
-- Accuracy: 0.8154
-- F1: 0.8500
+- Loss: 0.4233
+- Accuracy: 0.8538
+- F1: 0.8758
 
 ## Model description
 
@@ -44,7 +44,7 @@ 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: 9
+- num_epochs: 5
 
 ### Training results
 

pytorch_model.bin

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