metadata
base_model: dmis-lab/biobert-v1.1
tags:
- generated_from_keras_callback
model-index:
- name: Meli101/biobert-v1.1-sentence-classifier-tf
results: []
Meli101/biobert-v1.1-sentence-classifier-tf
This model is a fine-tuned version of dmis-lab/biobert-v1.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1155
- Validation Loss: 0.2999
- Train Precision: 0.9130
- Train Recall: 0.9134
- Train Accuracy: 0.9129
- Train F1: 0.9128
- Epoch: 2
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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1535, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Precision | Train Recall | Train Accuracy | Train F1 | Epoch |
|---|---|---|---|---|---|---|
| 0.5898 | 0.3387 | 0.8804 | 0.8786 | 0.8788 | 0.8788 | 0 |
| 0.2266 | 0.3110 | 0.8974 | 0.8913 | 0.8910 | 0.8903 | 1 |
| 0.1155 | 0.2999 | 0.9130 | 0.9134 | 0.9129 | 0.9128 | 2 |
Framework versions
- Transformers 4.37.2
- TensorFlow 2.15.0
- Datasets 2.17.1
- Tokenizers 0.15.2