Upload TFBertForSequenceClassification

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1358
-- Validation Loss: 0.4493
-- Train F1: 0.8396
-- Epoch: 5
+- Train Loss: 0.1260
+- Validation Loss: 0.6094
+- Train F1: 0.8160
+- Epoch: 3
 
 ## Model description
 
@@ -37,19 +37,17 @@ 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': 1380, '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': 1230, '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 F1 | Epoch |
 |:----------:|:---------------:|:--------:|:-----:|
-| 0.5762     | 0.4273          | 0.8516   | 0     |
-| 0.4188     | 0.3844          | 0.8395   | 1     |
-| 0.3173     | 0.3647          | 0.8649   | 2     |
-| 0.2289     | 0.4059          | 0.8413   | 3     |
-| 0.1810     | 0.3937          | 0.8520   | 4     |
-| 0.1358     | 0.4493          | 0.8396   | 5     |
+| 0.5871     | 0.4617          | 0.7957   | 0     |
+| 0.3699     | 0.4819          | 0.8098   | 1     |
+| 0.2151     | 0.5317          | 0.7721   | 2     |
+| 0.1260     | 0.6094          | 0.8160   | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 438223128