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: 0.3816
-- Train Sparse Categorical Accuracy: 0.8594
-- Validation Loss: 0.1547
-- Validation Sparse Categorical Accuracy: 0.9475
-- Epoch: 0
+- Train Loss: 0.1142
+- Train Sparse Categorical Accuracy: 0.9613
+- Validation Loss: 0.1272
+- Validation Sparse Categorical Accuracy: 0.9625
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
 |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
 | 0.3816     | 0.8594                            | 0.1547          | 0.9475                                 | 0     |
+| 0.1142     | 0.9613                            | 0.1272          | 0.9625                                 | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 267956392