clupubhealth-mini-test-3

This model is a fine-tuned version of facebook/bart-base on the clupubhealth dataset. It achieves the following results on the evaluation set:

• Loss: 2.4191
• Rouge1: 30.0438
• Rouge2: 10.2364
• Rougel: 20.066
• Rougelsum: 20.1703
• Gen Len: 19.6

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:

• learning_rate: 2e-05
• train_batch_size: 2
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 10
• total_train_batch_size: 20
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	0.5	5	2.5258	25.7171	6.7541	16.6375	17.2026	20.0
3.0394	1.0	10	2.4191	30.0438	10.2364	20.066	20.1703	19.6

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.7.1
• Tokenizers 0.13.2