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 [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1184
-- Train Sparse Categorical Accuracy: 0.9650
-- Validation Loss: 0.0017
+- Train Loss: 0.0008
+- Train Sparse Categorical Accuracy: 1.0
+- Validation Loss: 0.0005
 - Validation Sparse Categorical Accuracy: 1.0
-- Epoch: 0
+- 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 |
 |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
 | 0.1184     | 0.9650                            | 0.0017          | 1.0                                    | 0     |
+| 0.0015     | 1.0                               | 0.0008          | 1.0                                    | 1     |
+| 0.0008     | 1.0                               | 0.0005          | 1.0                                    | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 433544548