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: 0.0740
-- Train Accuracy: 0.9801
-- Validation Loss: 0.4695
+- Train Loss: 0.4753
+- Train Accuracy: 0.7890
+- Validation Loss: 0.3616
 - Validation Accuracy: 0.8547
-- Epoch: 2
+- Epoch: 0
 
 ## Model description
 
@@ -37,21 +37,19 @@ 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': 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}
+- 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': True, 'is_legacy_optimizer': False, '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}}, '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 |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.0750     | 0.9807         | 0.4695          | 0.8547              | 0     |
-| 0.0687     | 0.9838         | 0.4695          | 0.8547              | 1     |
-| 0.0740     | 0.9801         | 0.4695          | 0.8547              | 2     |
+| 0.4753     | 0.7890         | 0.3616          | 0.8547              | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.26.1
-- TensorFlow 2.9.2
+- TensorFlow 2.11.0
 - Datasets 2.9.0
 - Tokenizers 0.13.2

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