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 [cmarkea/distilcamembert-base](https://huggingface.co/cmarkea/distilcamembert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4192
-- Validation Loss: 0.4697
-- Train F1: 0.4246
-- Epoch: 2
+- Train Loss: 0.5225
+- Validation Loss: 0.4756
+- Train F1: 0.3575
+- 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': 300, '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': 3000, '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 F1 | Epoch |
 |:----------:|:---------------:|:--------:|:-----:|
-| 0.5280     | 0.5067          | 0.4972   | 0     |
-| 0.4410     | 0.4697          | 0.4246   | 1     |
-| 0.4192     | 0.4697          | 0.4246   | 2     |
+| 0.5225     | 0.4756          | 0.3575   | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1675445889.0e3a7e0eb872.2936.6.v2

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