Training in progress epoch 1

README.md

@@ -15,11 +15,11 @@ 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: 0.2559
-- Train Accuracy: 0.9057
-- Validation Loss: 0.5082
-- Validation Accuracy: 0.8211
-- Epoch: 0
+- Train Loss: 0.1004
+- Train Accuracy: 0.9673
+- Validation Loss: 0.5064
+- Validation Accuracy: 0.8431
+- Epoch: 1
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.2559     | 0.9057         | 0.5082          | 0.8211              | 0     |
+| 0.1004     | 0.9673         | 0.5064          | 0.8431              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:808c303d1b911135200fcccefe68adc8baa68501f7f6ddf792953a352b2887e7
 size 438223128