metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Metformin/BART_medFineTune
results: []
Metformin/BART_medFineTune
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.2579
- Validation Loss: 1.1387
- 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 1e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 7820, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 100, '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: float32
Training results
Train Loss | Validation Loss | Epoch |
---|---|---|
2.1563 | 1.3468 | 0 |
1.4157 | 1.2090 | 1 |
1.2579 | 1.1387 | 2 |
Framework versions
- Transformers 4.18.0
- TensorFlow 2.6.3
- Datasets 2.0.0
- Tokenizers 0.12.1