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 [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: 0.0644
-- Validation Loss: 0.4228
-- Train Matthews Correlation: 0.6855
-- Epoch: 4
+- Train Loss: 0.4618
+- Validation Loss: 0.3742
+- Train F1: 0.7700
+- Epoch: 0
 
 ## Model description
 
@@ -36,23 +36,19 @@ 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': 2e-05, 'decay_steps': 1045, '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': 2e-05, 'decay_steps': 627, '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 | Epoch |
-|:----------:|:---------------:|:--------------------------:|:-----:|
-| 0.4343     | 0.3521          | 0.6862                     | 0     |
-| 0.2531     | 0.3534          | 0.6921                     | 1     |
-| 0.1756     | 0.3472          | 0.7141                     | 2     |
-| 0.1030     | 0.4079          | 0.6920                     | 3     |
-| 0.0644     | 0.4228          | 0.6855                     | 4     |
+| Train Loss | Validation Loss | Train F1 | Epoch |
+|:----------:|:---------------:|:--------:|:-----:|
+| 0.4618     | 0.3742          | 0.7700   | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.35.2
 - TensorFlow 2.15.0
-- Datasets 2.15.0
+- Datasets 2.16.1
 - Tokenizers 0.15.0

logs/train/events.out.tfevents.1704312409.9e5a43f02215.207.0.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:39b4b61c9673f5df2779047547325abadaf579340ff4e392fe10b4a3c0a3a2ef
+size 3530117

logs/validation/events.out.tfevents.1704312513.9e5a43f02215.207.1.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e9d38cba2eafea2376c65c3ba005cf26c0feec01cb937d299ccb1c3d47d2f9e
+size 232

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9016b9bd086a8360acf40940d42af1d7057d669c3fb0c687fd23a51e6a3c2a78
+oid sha256:626ed792349c4769121eaaee7433bb27aa4d7ad4b096bed7d13c554cdd3bae93
 size 451979544