Training in progress epoch 0

README.md

@@ -16,9 +16,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1159
-- Validation Loss: 0.6155
-- Epoch: 9
+- Train Loss: 0.5998
+- Validation Loss: 0.4392
+- Epoch: 0
 
 ## Model description
 
@@ -37,23 +37,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 15000, '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, 'weight_decay_rate': 0.01}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 6000, '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, 'weight_decay_rate': 0.01}
 - training_precision: mixed_float16
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.6398     | 0.4857          | 0     |
-| 0.4182     | 0.4455          | 1     |
-| 0.3260     | 0.4578          | 2     |
-| 0.2653     | 0.4926          | 3     |
-| 0.2201     | 0.5015          | 4     |
-| 0.1847     | 0.5465          | 5     |
-| 0.1591     | 0.5720          | 6     |
-| 0.1385     | 0.5892          | 7     |
-| 0.1250     | 0.6078          | 8     |
-| 0.1159     | 0.6155          | 9     |
+| 0.5998     | 0.4392          | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:618098ea30f969ae680eee9b25926808a6f5ddab133847e560feec708536e578
 size 431192060