README.md

metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: MUmairAB/bert-ner
    results: []

MUmairAB/bert-ner

This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0005
• Validation Loss: 0.0869
• Epoch: 17

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': 17560, '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
0.1775	0.0635	0
0.0470	0.0559	1
0.0278	0.0603	2
0.0174	0.0603	3
0.0124	0.0615	4
0.0077	0.0722	5
0.0060	0.0731	6
0.0038	0.0757	7
0.0043	0.0731	8
0.0041	0.0735	9
0.0019	0.0724	10
0.0019	0.0786	11
0.0010	0.0843	12
0.0008	0.0814	13
0.0011	0.0867	14
0.0008	0.0883	15
0.0005	0.0861	16
0.0005	0.0869	17

Framework versions

• Transformers 4.30.2
• TensorFlow 2.12.0
• Datasets 2.13.1
• Tokenizers 0.13.3