tgoktug/medical_sumamry_bart_model

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: 0.3434
• Validation Loss: 0.7118
• Epoch: 9

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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.8460	0.6691	0
0.6843	0.6561	1
0.6166	0.6384	2
0.5645	0.6365	3
0.5187	0.6444	4
0.4770	0.6536	5
0.4394	0.6600	6
0.4046	0.6675	7
0.3729	0.6862	8
0.3434	0.7118	9

Framework versions

• Transformers 4.32.1
• TensorFlow 2.12.0
• Datasets 2.14.4
• Tokenizers 0.13.3