Training in progress epoch 0

README.md

@@ -4,21 +4,21 @@ base_model: dbmdz/bert-base-turkish-cased
 tags:
 - generated_from_keras_callback
 model-index:
-- name: basakdemirok/bert-base-turkish-cased-subjectivity_checkthat_v012
+- name: basakdemirok/bert-base-turkish-cased-subjectivity_checkthat_v0123
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->
 
-# basakdemirok/bert-base-turkish-cased-subjectivity_checkthat_v012
+# basakdemirok/bert-base-turkish-cased-subjectivity_checkthat_v0123
 
 This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0208
-- Validation Loss: 0.4965
-- Train F1: 0.8743
-- Epoch: 3
+- Train Loss: 0.4939
+- Validation Loss: 0.3252
+- Train F1: 0.8449
+- Epoch: 0
 
 ## Model description
 
@@ -37,17 +37,14 @@ 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': 572, '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': 768, '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 F1 | Epoch |
 |:----------:|:---------------:|:--------:|:-----:|
-| 0.5332     | 0.3696          | 0.8068   | 0     |
-| 0.1941     | 0.3826          | 0.8462   | 1     |
-| 0.0485     | 0.4208          | 0.8426   | 2     |
-| 0.0208     | 0.4965          | 0.8743   | 3     |
+| 0.4939     | 0.3252          | 0.8449   | 0     |
 
 
 ### Framework versions

tf_model.h5

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 size 442763544

train/events.out.tfevents.1729672331.tm211pc.18063.0.v2

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validation/events.out.tfevents.1729672437.tm211pc.18063.1.v2

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