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: 0.7970
- Validation Loss: 0.9957
- Epoch: 21
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 |
1.1819 | 1.0888 | 3 |
1.1438 | 1.0848 | 4 |
1.0629 | 1.0512 | 5 |
1.0163 | 1.0454 | 6 |
0.9801 | 1.0248 | 7 |
0.9530 | 1.0171 | 8 |
0.9262 | 1.0108 | 9 |
0.9124 | 1.0116 | 10 |
0.8853 | 1.0043 | 11 |
0.8658 | 1.0023 | 12 |
0.8511 | 0.9987 | 13 |
0.8394 | 0.9988 | 14 |
0.8298 | 0.9994 | 15 |
0.8175 | 0.9985 | 16 |
0.8105 | 0.9936 | 17 |
0.8033 | 0.9974 | 18 |
0.8012 | 0.9948 | 19 |
0.7997 | 0.9948 | 20 |
0.7970 | 0.9957 | 21 |
Framework versions
- Transformers 4.18.0
- TensorFlow 2.6.3
- Datasets 2.0.0
- Tokenizers 0.12.1