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my-bert-mlm – AI Model by Bachlee | AlphaNeural AI
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Bachlee
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my-bert-mlm
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transformers
tf
bert
fill-mask
generated_from_keras_callback
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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my-bert-mlm
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0167
Epoch: 14
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
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': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Epoch
0.2467
0
0.1741
1
0.1385
2
0.1082
3
0.0836
4
0.0640
5
0.0493
6
0.0391
7
0.0331
8
0.0261
9
0.0234
10
0.0211
11
0.0202
12
0.0179
13
0.0167
14
Framework versions
Transformers 4.39.3
TensorFlow 2.15.0
Datasets 2.18.0
Tokenizers 0.15.2
