AdwayK/biobert_ncbi_disease_ner_tuned_on_TAC2017

This model is a fine-tuned version of ugaray96/biobert_ncbi_disease_ner on the TAC 2017 dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0343
• Validation Loss: 0.0679
• Epoch: 4

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': 975, '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
0.5377	0.1269	0
0.0997	0.0776	1
0.0621	0.0700	2
0.0434	0.0757	3
0.0343	0.0679	4

Framework versions

• Transformers 4.18.0
• TensorFlow 2.8.0
• Datasets 2.1.0
• Tokenizers 0.12.1