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My_Bert_Model – AI Model by surajsahu | AlphaNeural AI
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surajsahu
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My_Bert_Model
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transformers
tf
bert
text-classification
generated_from_keras_callback
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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my_bert_model
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: 0.0174
Train Accuracy: 0.9939
Validation Loss: 0.0994
Validation Accuracy: 0.9770
Epoch: 2
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': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
0.1260
0.9517
0.1283
0.9567
0
0.0284
0.9906
0.0968
0.9643
1
0.0174
0.9939
0.0994
0.9770
2
Framework versions
Transformers 4.41.2
TensorFlow 2.15.0
Tokenizers 0.19.1
