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BeardedJohn/
bert-finetuned-ner-per-v3

Name: bert-finetuned-ner-per-v3
Availability: InStock

transformers

bert

token-classification

generated_from_keras_callback

apache-2.0

autotrain_compatible

endpoints_compatible

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bert-finetuned-ner-per-v3

This model is a fine-tuned version of BeardedJohn/bert-finetuned-ner-per-v3 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.1787
Validation Loss: 0.3198
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1875, '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: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
0.3935	0.3222	0
0.2585	0.3025	1
0.1787	0.3198	2

Framework versions

Transformers 4.26.0
TensorFlow 2.9.2
Datasets 2.9.0
Tokenizers 0.13.2