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: 0.1933
-- Validation Loss: 0.5645
-- Train Matthews Correlation: 0.5109
-- Epoch: 2
+- Train Loss: 0.6018
+- Validation Loss: 0.5886
+- Train Matthews Correlation: 0.0
+- Epoch: 0
 
 ## Model description
 
@@ -36,16 +36,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2670, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 195, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Matthews Correlation | Epoch |
 |:----------:|:---------------:|:--------------------------:|:-----:|
-| 0.5231     | 0.4642          | 0.4361                     | 0     |
-| 0.3368     | 0.4569          | 0.5017                     | 1     |
-| 0.1933     | 0.5645          | 0.5109                     | 2     |
+| 0.6018     | 0.5886          | 0.0                        | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1657868784.d69e63b08958.63.0.v2

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tf_model.h5

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