Training in progress epoch 0

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6875
-- Validation Loss: 0.6989
+- Train Loss: 0.6865
+- Validation Loss: 0.6975
 - Train Accuracy: 0.4908
-- Epoch: 1
+- Epoch: 0
 
 ## Model description
 
@@ -36,15 +36,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.6882     | 0.6969          | 0.4908         | 0     |
-| 0.6875     | 0.6989          | 0.4908         | 1     |
+| 0.6865     | 0.6975          | 0.4908         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a8f744ee8a384055d72665a601850321f4f7de94c1612c83b1b359625abd1616
+oid sha256:b1426e25aa013b51a5cc4ec9defbef28b7e03e4466c3bc2bf8b3ca9382db4b99
 size 267951896