Training in progress epoch 0

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4399
-- Validation Loss: 0.9002
-- Train Accuracy: 0.6201
-- Train Precision: 0.6483
-- Train Recall: 0.6201
-- Train F1: 0.6274
-- Epoch: 1
+- Train Loss: 0.7207
+- Validation Loss: 0.5929
+- Train Accuracy: 0.7559
+- Train Precision: 0.7512
+- Train Recall: 0.7559
+- Train F1: 0.7520
+- Epoch: 0
 
 ## Model description
 
@@ -40,15 +40,14 @@ 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': 11870, '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': 18780, '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 Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
-| 0.7051     | 0.8052          | 0.6339         | 0.6423          | 0.6339       | 0.6373   | 0     |
-| 0.4399     | 0.9002          | 0.6201         | 0.6483          | 0.6201       | 0.6274   | 1     |
+| 0.7207     | 0.5929          | 0.7559         | 0.7512          | 0.7559       | 0.7520   | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1716107924.ad51a5f53876.217.0.v2

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