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: 0.0567
-- Validation Loss: 0.5936
-- Train Precision: 0.7024
-- Train Recall: 0.6946
-- Train F1: 0.6975
-- Train Accuracy: 0.8673
-- Epoch: 9
+- Train Loss: 1.1440
+- Validation Loss: 0.6108
+- Train Precision: 0.5739
+- Train Recall: 0.5788
+- Train F1: 0.5727
+- Train Accuracy: 0.8367
+- 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': 5e-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': 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}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 1.0313     | 0.5894          | 0.5654          | 0.5733       | 0.5675   | 0.8333         | 0     |
-| 0.4717     | 0.4938          | 0.6356          | 0.6546       | 0.6414   | 0.8596         | 1     |
-| 0.3259     | 0.5062          | 0.6411          | 0.6678       | 0.6524   | 0.8503         | 2     |
-| 0.2290     | 0.4988          | 0.6580          | 0.6591       | 0.6577   | 0.8635         | 3     |
-| 0.1700     | 0.5317          | 0.6580          | 0.6583       | 0.6561   | 0.8605         | 4     |
-| 0.1218     | 0.5377          | 0.7129          | 0.6841       | 0.6911   | 0.8639         | 5     |
-| 0.0973     | 0.5540          | 0.7132          | 0.6916       | 0.6988   | 0.8654         | 6     |
-| 0.0831     | 0.5651          | 0.7017          | 0.6989       | 0.6992   | 0.8673         | 7     |
-| 0.0677     | 0.5871          | 0.7623          | 0.7151       | 0.7329   | 0.8683         | 8     |
-| 0.0567     | 0.5936          | 0.7024          | 0.6946       | 0.6975   | 0.8673         | 9     |
+| 1.1440     | 0.6108          | 0.5739          | 0.5788       | 0.5727   | 0.8367         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 268007104
+oid sha256:692e77be28c5882a991ed448d6aa6967be5fa141287f08ccfb5277663bed59e1
+size 268010440