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-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6860
-- Train Accuracy: 0.6314
-- Validation Loss: 0.7727
+- Train Loss: 0.6942
+- Train Accuracy: 0.6200
+- Validation Loss: 0.6486
 - Validation Accuracy: 0.6838
-- Epoch: 0
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,8 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.6860     | 0.6314         | 0.7727          | 0.6838              | 0     |
+| 0.6862     | 0.6347         | 0.6326          | 0.6838              | 1     |
+| 0.6942     | 0.6200         | 0.6486          | 0.6838              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:be071f7fdd861704955d3af610f394bb308e11981af174ceaa603515eb016109
 size 438223192