Training in progress epoch 0

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2234
-- Validation Loss: 0.2562
+- Train Loss: 0.2043
+- Validation Loss: 0.2022
 - Train Precision: 0.0
 - Train Recall: 0.0
 - Train F1: 0.0
 - Train Accuracy: 0.9466
-- Epoch: 2
+- Epoch: 0
 
 ## Model description
 
@@ -40,16 +40,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 27, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 27, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 0.2780     | 0.2627          | 0.0             | 0.0          | 0.0      | 0.9466         | 0     |
-| 0.2260     | 0.2562          | 0.0             | 0.0          | 0.0      | 0.9466         | 1     |
-| 0.2234     | 0.2562          | 0.0             | 0.0          | 0.0      | 0.9466         | 2     |
+| 0.2043     | 0.2022          | 0.0             | 0.0          | 0.0      | 0.9466         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5fd0b616d8f6c1b2dd1999d48fa1df8aa5d20a1ba3ecaaef21cf47e20902a116
+oid sha256:a7e4cbf41539b091c71af26199b28566a07c5a8867e8962ceb22ffe029cb8b65
 size 265587984