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cti-bert-ner – AI Model by mrmoor | AlphaNeural AI
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mrmoor
/
cti-bert-ner
like
0
transformers
tf
tensorboard
bert
token-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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mrmoor/cti-bert-ner
This model is a fine-tuned version of
mrmoor/cti-bert-mlm
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1491
Validation Loss: 0.3715
Epoch: 6
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 82800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.6883
0.5161
0
0.4567
0.4283
1
0.3420
0.3810
2
0.2688
0.3845
3
0.2144
0.3669
4
0.1788
0.3881
5
0.1491
0.3715
6
Framework versions
Transformers 4.23.1
TensorFlow 2.9.2
Datasets 2.6.1
Tokenizers 0.13.1
