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 [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.7555
-- Train End Logits Accuracy: 0.5826
-- Train Start Logits Accuracy: 0.5568
-- Validation Loss: 2.0195
-- Validation End Logits Accuracy: 0.5265
-- Validation Start Logits Accuracy: 0.4914
-- Epoch: 1
+- Train Loss: 2.3543
+- Train End Logits Accuracy: 0.5058
+- Train Start Logits Accuracy: 0.4992
+- Validation Loss: 2.0820
+- Validation End Logits Accuracy: 0.5253
+- Validation Start Logits Accuracy: 0.4917
+- 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': 4524, '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': 6786, '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 End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
-| 2.3961     | 0.5016                    | 0.4963                      | 2.1577          | 0.4883                         | 0.4651                           | 0     |
-| 1.7555     | 0.5826                    | 0.5568                      | 2.0195          | 0.5265                         | 0.4914                           | 1     |
+| 2.3543     | 0.5058                    | 0.4992                      | 2.0820          | 0.5253                         | 0.4917                           | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1714758128.728cd015945c.513.0.v2

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