Training in progress epoch 0

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0757
-- Validation Loss: 0.5393
-- Train Precision: 0.7176
-- Train Recall: 0.6904
-- Train F1: 0.6968
-- Train Accuracy: 0.8688
-- Epoch: 9
+- Train Loss: 1.2437
+- Validation Loss: 0.6349
+- Train Precision: 0.5675
+- Train Recall: 0.5420
+- Train F1: 0.5499
+- Train Accuracy: 0.8343
+- Epoch: 0
 
 ## Model description
 
@@ -39,23 +39,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 5140, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5140, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 1.1440     | 0.6108          | 0.5739          | 0.5788       | 0.5727   | 0.8367         | 0     |
-| 0.5050     | 0.5447          | 0.6506          | 0.6243       | 0.6325   | 0.8489         | 1     |
-| 0.3584     | 0.4823          | 0.6518          | 0.6619       | 0.6558   | 0.8620         | 2     |
-| 0.2612     | 0.4890          | 0.7183          | 0.6777       | 0.6902   | 0.8654         | 3     |
-| 0.1901     | 0.4922          | 0.7137          | 0.6880       | 0.6937   | 0.8639         | 4     |
-| 0.1566     | 0.5050          | 0.7220          | 0.6838       | 0.6953   | 0.8703         | 5     |
-| 0.1189     | 0.5284          | 0.7088          | 0.6911       | 0.6920   | 0.8712         | 6     |
-| 0.1059     | 0.5285          | 0.7113          | 0.6835       | 0.6900   | 0.8635         | 7     |
-| 0.0863     | 0.5369          | 0.7209          | 0.6880       | 0.6970   | 0.8654         | 8     |
-| 0.0757     | 0.5393          | 0.7176          | 0.6904       | 0.6968   | 0.8688         | 9     |
+| 1.2437     | 0.6349          | 0.5675          | 0.5420       | 0.5499   | 0.8343         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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 size 268010440