Training in progress epoch 0

README.md

@@ -15,10 +15,10 @@ 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: 0.5401
-- Validation Loss: 0.8619
-- Train Accuracy: 0.4375
-- Epoch: 3
+- Train Loss: 1.0973
+- Validation Loss: 1.0921
+- Train Accuracy: 0.5
+- Epoch: 0
 
 ## Model description
 
@@ -37,22 +37,19 @@ 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 20, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 25, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 1.0877     | 1.0761          | 0.625          | 0     |
-| 1.0150     | 0.9806          | 0.5625         | 1     |
-| 0.7887     | 0.9191          | 0.5            | 2     |
-| 0.5401     | 0.8619          | 0.4375         | 3     |
+| 1.0973     | 1.0921          | 0.5            | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.35.2
-- TensorFlow 2.14.0
-- Datasets 2.16.1
-- Tokenizers 0.15.1
+- TensorFlow 2.15.0
+- Datasets 2.17.0
+- Tokenizers 0.15.2

tf_model.h5

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