metadata
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
datasets:
- clupubhealth
metrics:
- rouge
model-index:
- name: pubhealth-expanded-2
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: clupubhealth
type: clupubhealth
config: expanded
split: test
args: expanded
metrics:
- name: Rouge1
type: rouge
value: 30.8894
pubhealth-expanded-2
This model is a fine-tuned version of facebook/bart-large on the clupubhealth dataset. It achieves the following results on the evaluation set:
- Loss: 2.0350
- Rouge1: 30.8894
- Rouge2: 11.1867
- Rougel: 23.9147
- Rougelsum: 24.1629
- Gen Len: 19.92
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|---|
| 2.8605 | 0.15 | 300 | 2.1208 | 28.8603 | 10.8357 | 23.0659 | 23.2449 | 19.91 |
| 2.7424 | 0.31 | 600 | 2.0667 | 31.4167 | 11.8643 | 24.7631 | 25.1062 | 19.83 |
| 2.6133 | 0.46 | 900 | 2.0508 | 30.8362 | 11.7188 | 23.8637 | 24.0363 | 19.92 |
| 2.5378 | 0.62 | 1200 | 2.0295 | 32.2237 | 12.4404 | 25.5336 | 25.847 | 19.875 |
| 2.5218 | 0.77 | 1500 | 2.0379 | 32.0398 | 11.9383 | 25.0801 | 25.2798 | 19.9 |
| 2.4902 | 0.93 | 1800 | 2.0350 | 30.8894 | 11.1867 | 23.9147 | 24.1629 | 19.92 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2