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: 0.2232
-- Train Accuracy: 0.9121
-- Validation Loss: 0.4083
-- Validation Accuracy: 0.8340
-- Epoch: 1
+- Train Loss: 0.4876
+- Train Accuracy: 0.7620
+- Validation Loss: 0.5001
+- Validation Accuracy: 0.7842
+- Epoch: 0
 
 ## Model description
 
@@ -44,8 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.4619     | 0.7877         | 0.7007          | 0.7280              | 0     |
-| 0.2232     | 0.9121         | 0.4083          | 0.8340              | 1     |
+| 0.4876     | 0.7620         | 0.5001          | 0.7842              | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:227c3838fb5cd7d0ff05954bdbec266440bfa658293e36dba0a967cd984463f2
 size 438223192