Training in progress epoch 0

README.md

@@ -15,9 +15,9 @@ 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: 0.1363
-- Validation Loss: 0.1758
-- Epoch: 3
+- Train Loss: 0.2775
+- Validation Loss: 0.1572
+- Epoch: 0
 
 ## Model description
 
@@ -36,17 +36,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 5e-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.3313     | 0.2069          | 0     |
-| 0.2310     | 0.1827          | 1     |
-| 0.1737     | 0.1717          | 2     |
-| 0.1363     | 0.1758          | 3     |
+| 0.2775     | 0.1572          | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c39361dcdb4c5db20058c36c41ec1966c2dae02d66ac18d4774cdadc16c0585c
+oid sha256:cf3b8bed9541dd27699ecf505d1c77548e9b4ef2ea1010b26e43ffda3b35ae3c
 size 438225104