End of training

README.md

@@ -14,11 +14,11 @@ 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:
-- Train Loss: 0.5409
-- Train Sparse Categorical Accuracy: 0.8158
-- Validation Loss: 0.2115
-- Validation Sparse Categorical Accuracy: 0.9265
-- Epoch: 0
+- Train Loss: 0.1025
+- Train Sparse Categorical Accuracy: 0.9511
+- Validation Loss: 0.1455
+- Validation Sparse Categorical Accuracy: 0.9365
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,8 @@ The following hyperparameters were used during training:
 | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
 |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
 | 0.5409     | 0.8158                            | 0.2115          | 0.9265                                 | 0     |
+| 0.1442     | 0.9373                            | 0.1411          | 0.9380                                 | 1     |
+| 0.1025     | 0.9511                            | 0.1455          | 0.9365                                 | 2     |
 
 
 ### Framework versions

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