README.md

metadata

license: apache-2.0
base_model: facebook/bart-base
tags:
  - generated_from_trainer
datasets:
  - clupubhealth
metrics:
  - rouge
model-index:
  - name: clu-pubhealth-base-3
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: clupubhealth
          type: clupubhealth
          config: base
          split: test
          args: base
        metrics:
          - name: Rouge1
            type: rouge
            value: 28.0559

clu-pubhealth-base-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: 2.2514
• Rouge1: 28.0559
• Rouge2: 9.0287
• Rougel: 22.2344
• Rougelsum: 22.4603
• Gen Len: 19.695

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: 8
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 20
• total_train_batch_size: 160
• 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
3.2512	0.63	20	2.2514	28.0559	9.0287	22.2344	22.4603	19.695

Framework versions

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