README.md

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: 0.8175
• Validation Loss: 0.9985
• Epoch: 16

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

Framework versions

• Transformers 4.18.0
• TensorFlow 2.6.3
• Datasets 2.0.0
• Tokenizers 0.12.1