Training in progress epoch 0

README.md

@@ -14,12 +14,12 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nlpaueb/bert-base-greek-uncased-v1](https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.3070
-- Validation Loss: 0.3335
-- Train Matthews Correlation: 0.6995
-- Train F1: 0.8446
-- Train Accuracy: 0.8493
-- Epoch: 1
+- Train Loss: 0.6131
+- Validation Loss: 0.4901
+- Train Matthews Correlation: 0.5370
+- Train F1: 0.7500
+- Train Accuracy: 0.7660
+- Epoch: 0
 
 ## Model description
 
@@ -38,20 +38,19 @@ 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': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 3922, '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': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 3922, '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 Matthews Correlation | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------------------:|:--------:|:--------------:|:-----:|
-| 0.5353     | 0.3213          | 0.7376                     | 0.8679   | 0.8688         | 0     |
-| 0.3070     | 0.3335          | 0.6995                     | 0.8446   | 0.8493         | 1     |
+| 0.6131     | 0.4901          | 0.5370                     | 0.7500   | 0.7660         | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.38.2
 - TensorFlow 2.15.0
-- Datasets 2.18.0
+- Datasets 2.19.0
 - Tokenizers 0.15.2

logs/train/events.out.tfevents.1713614993.848805f9c3bb.158.0.v2

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tokenizer.json

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