Training in progress epoch 1

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 3.0564
-- Validation Loss: 1.7752
-- Train Accuracy: 0.8333
-- Epoch: 0
+- Train Loss: 1.1787
+- Validation Loss: 0.4896
+- Train Accuracy: 0.9482
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 3.0564     | 1.7752          | 0.8333         | 0     |
+| 1.1787     | 0.4896          | 0.9482         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d355fa0de0df9a110ebd537e312dd3266a29e8ee8bf61b8ac6faf1c0439afeea
 size 438347984