metadata

license: apache-2.0
base_model: facebook/bart-base
tags:
  - generated_from_trainer
datasets:
  - clupubhealth
metrics:
  - rouge
model-index:
  - name: clupubhealth-mini-test-3
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: clupubhealth
          type: clupubhealth
          config: mini
          split: test
          args: mini
        metrics:
          - name: Rouge1
            type: rouge
            value: 30.0438

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