metadata
tags:
- generated_from_keras_callback
model-index:
- name: lmarchyok/results-50
results: []
lmarchyok/results-50
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: 5.3788
- Validation Loss: 4.9743
- Epoch: 5
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 |
---|---|---|
10.5607 | 8.8480 | 0 |
8.3720 | 7.8520 | 1 |
7.5093 | 6.9899 | 2 |
6.5973 | 5.9553 | 3 |
5.7612 | 5.2994 | 4 |
5.3788 | 4.9743 | 5 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.13.1
- Tokenizers 0.13.2