Training in progress epoch 0

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1724
-- Train Accuracy: 0.9446
-- Validation Loss: 0.4132
+- Train Loss: 0.5060
+- Train Accuracy: 0.7617
+- Validation Loss: 0.3795
 - Validation Accuracy: 0.8436
-- Epoch: 2
+- Epoch: 0
 
 ## Model description
 
@@ -37,16 +37,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 603, '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-07, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1005, '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-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.4575     | 0.7934         | 0.4093          | 0.8492              | 0     |
-| 0.2709     | 0.9073         | 0.4132          | 0.8603              | 1     |
-| 0.1724     | 0.9446         | 0.4132          | 0.8436              | 2     |
+| 0.5060     | 0.7617         | 0.3795          | 0.8436              | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1676023984.9a26f421da70.364.2.v2

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logs/validation/events.out.tfevents.1676024163.9a26f421da70.364.3.v2

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tf_model.h5

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