Mykes/rubert_ner_SDDCS_ft

This model is a fine-tuned version of Mykes/rubert_ner_SDDCS on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0010
• Validation Loss: 0.0092
• Epoch: 3

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': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 1e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 8118.0, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 902.0, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.1}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.0007	0.0092	0
0.0007	0.0089	1
0.0009	0.0091	2
0.0010	0.0092	3

Framework versions

• Transformers 4.44.2
• TensorFlow 2.17.0
• Datasets 3.1.0
• Tokenizers 0.19.1