README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - crd3
metrics:
  - rouge
model-index:
  - name: primer-crd3
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: crd3
          type: crd3
          config: default
          split: train[:500]
          args: default
        metrics:
          - name: Rouge1
            type: rouge
            value: 0.1510358452879352

primer-crd3

This model is a fine-tuned version of allenai/PRIMERA on the crd3 dataset. It achieves the following results on the evaluation set:

• Loss: 3.8193
• Rouge1: 0.1510
• Rouge2: 0.0279
• Rougel: 0.1251
• Rougelsum: 0.1355

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: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	250	2.9569	0.1762	0.0485	0.1525	0.1605
1.7993	2.0	500	3.4079	0.1612	0.0286	0.1367	0.1444
1.7993	3.0	750	3.8193	0.1510	0.0279	0.1251	0.1355

Framework versions

• Transformers 4.24.0
• Pytorch 1.8.0
• Datasets 2.7.0
• Tokenizers 0.13.2