Training in progress epoch 0

README.md

@@ -15,12 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1975
-- Train Binary Accuracy: 0.9395
-- Validation Loss: 0.4647
-- Validation Binary Accuracy: 0.8899
-- Train Recall: 0.9707
-- Epoch: 2
+- Train Loss: 0.2134
+- Validation Loss: 0.2835
+- Train Recall: 0.9144
+- Epoch: 0
 
 ## Model description
 
@@ -39,16 +37,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3156, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0002, 'decay_steps': 3156, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
-| Train Loss | Train Binary Accuracy | Validation Loss | Validation Binary Accuracy | Train Recall | Epoch |
-|:----------:|:---------------------:|:---------------:|:--------------------------:|:------------:|:-----:|
-| 0.3426     | 0.8739                | 0.4163          | 0.8865                     | 0.9797       | 0     |
-| 0.2496     | 0.9212                | 0.4870          | 0.8830                     | 0.2297       | 1     |
-| 0.1975     | 0.9395                | 0.4647          | 0.8899                     | 0.9707       | 2     |
+| Train Loss | Validation Loss | Train Recall | Epoch |
+|:----------:|:---------------:|:------------:|:-----:|
+| 0.2134     | 0.2835          | 0.9144       | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 263263936