Training in progress epoch 2

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: 0.6881
-- Train Binary Accuracy: 0.5551
-- Validation Loss: 0.7137
+- Train Loss: 0.6869
+- Train Binary Accuracy: 0.5541
+- Validation Loss: 0.7140
 - Validation Binary Accuracy: 0.5092
 - Train F1: 0.6748
-- Epoch: 1
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------------:|:---------------:|:--------------------------:|:--------:|:-----:|
 | 0.7292     | 0.6233                | 0.7062          | 0.5092                     | 0.6748   | 0     |
 | 0.6881     | 0.5551                | 0.7137          | 0.5092                     | 0.6748   | 1     |
+| 0.6869     | 0.5541                | 0.7140          | 0.5092                     | 0.6748   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4fe3f9af5b0f1629bba67a7472f9078ca6fd4326e2d29dd5ee2cd9a37f6d2d08
 size 438225104