Upload TFBertForPreTraining

README.md

@@ -13,9 +13,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 9.3097
-- Validation Loss: 9.2383
-- Epoch: 0
+- Train Loss: 7.0907
+- Validation Loss: 7.0946
+- Epoch: 1
 
 ## Model description
 
@@ -34,19 +34,20 @@ 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': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': 1.0, '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': 1e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 9.3097     | 9.2383          | 0     |
+| 8.0981     | 7.4956          | 0     |
+| 7.0907     | 7.0946          | 1     |
 
 
 ### Framework versions
 
 - Transformers 4.42.0.dev0
 - TensorFlow 2.15.0
-- Datasets 2.19.1
+- Datasets 2.20.0
 - Tokenizers 0.19.1

tf_model.h5

@@ -1,3 +1,3 @@
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 size 606630176