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mlm_soft_finetune_bert – AI Model by ubaskota | AlphaNeural AI
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ubaskota
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mlm_soft_finetune_bert
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transformers
tf
roberta
fill-mask
generated_from_keras_callback
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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mlm_soft_finetune_bert
This model is a fine-tuned version of
distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0020
Epoch: 9
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
0.0058
0
0.0032
1
0.0029
2
0.0025
3
0.0024
4
0.0023
5
0.0022
6
0.0021
7
0.0021
8
0.0020
9
Framework versions
Transformers 4.37.2
TensorFlow 2.15.0
Tokenizers 0.15.1
