Training in progress epoch 1

README.md

@@ -15,12 +15,12 @@ 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: 0.7292
-- Train Binary Accuracy: 0.6233
-- Validation Loss: 0.7062
+- Train Loss: 0.6881
+- Train Binary Accuracy: 0.5551
+- Validation Loss: 0.7137
 - Validation Binary Accuracy: 0.5092
 - Train F1: 0.6748
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Binary Accuracy | Validation Loss | Validation Binary Accuracy | Train F1 | Epoch |
 |:----------:|:---------------------:|:---------------:|:--------------------------:|:--------:|:-----:|
 | 0.7292     | 0.6233                | 0.7062          | 0.5092                     | 0.6748   | 0     |
+| 0.6881     | 0.5551                | 0.7137          | 0.5092                     | 0.6748   | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:24873c2694296f4d7619f113a09ef24123dc4d08e8236043184de4b8ee74b5d3
 size 438225104