Training in progress epoch 0

README.md

@@ -14,11 +14,9 @@ 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: 0.2119
-- Train Accuracy: 0.9163
-- Validation Loss: 0.3329
-- Validation Accuracy: 0.8720
-- Epoch: 2
+- Train Loss: 0.5400
+- Validation Loss: 0.3599
+- Epoch: 0
 
 ## Model description
 
@@ -37,21 +35,19 @@ 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': 10035, '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': 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}
 - training_precision: float32
 
 ### Training results
 
-| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
-|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.4348     | 0.8062         | 0.3133          | 0.8772              | 0     |
-| 0.2975     | 0.8837         | 0.3372          | 0.8668              | 1     |
-| 0.2119     | 0.9163         | 0.3329          | 0.8720              | 2     |
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 0.5400     | 0.3599          | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
+- Transformers 4.38.2
 - TensorFlow 2.15.0
-- Datasets 2.16.1
-- Tokenizers 0.15.0
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -26,7 +26,7 @@
   "output_past": true,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "transformers_version": "4.35.2",
+  "transformers_version": "4.38.2",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 35000

logs/train/events.out.tfevents.1713376673.635f15221149.1216.0.v2

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logs/validation/events.out.tfevents.1713376802.635f15221149.1216.1.v2

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tf_model.h5

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tokenizer.json

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 {
   "version": "1.0",
   "truncation": null,
-  "padding": {
-    "strategy": "BatchLongest",
-    "direction": "Right",
-    "pad_to_multiple_of": null,
-    "pad_id": 0,
-    "pad_type_id": 0,
-    "pad_token": "[PAD]"
-  },
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