lmarchyok/results-100

This model is a fine-tuned version of pretrained_models/ClinicalBERT_1a/pytorch_model.bin on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 4.4247
• Validation Loss: 4.1995
• Epoch: 9

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': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -876, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, '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
10.5630	8.9058	0
8.3931	7.8305	1
7.5274	7.0268	2
6.6788	5.9684	3
5.8770	5.2416	4
5.3391	4.9728	5
4.9493	4.6567	6
4.6030	4.2377	7
4.4378	4.2560	8
4.4247	4.1995	9

Framework versions

• Transformers 4.26.1
• TensorFlow 2.11.0
• Datasets 2.13.1
• Tokenizers 0.13.2