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My_AI_model – AI Model by surajsahu | AlphaNeural AI
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surajsahu
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My_AI_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_AI_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: 0.0183
Train Accuracy: 0.9947
Validation Loss: 0.0180
Validation Accuracy: 0.9951
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
0.0416
0.9875
0.0159
0.9944
0
0.0149
0.9961
0.0134
0.9970
1
0.0183
0.9947
0.0180
0.9951
2
Framework versions
Transformers 4.41.2
TensorFlow 2.15.0
Datasets 2.19.2
Tokenizers 0.19.1
