README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - big_patent
metrics:
  - rouge
model-index:
  - name: patent-summarization-allen-led-large-2022-09-20
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: big_patent
          type: big_patent
          config: all
          split: train
          args: all
        metrics:
          - name: Rouge1
            type: rouge
            value: 0

patent-summarization-allen-led-large-2022-09-20

This model is a fine-tuned version of allenai/led-large-16384-arxiv on the big_patent dataset. It achieves the following results on the evaluation set:

• Loss: 2.8240
• Rouge1: 0.0
• Rouge2: 0.0
• Rougel: 0.0
• Rougelsum: 0.0
• Gen Len: 512.0

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: 5e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.4766	0.08	5000	3.4240	0.0	0.0	0.0	0.0	512.0
3.2549	0.17	10000	3.2908	0.0	0.0	0.0	0.0	512.0
3.2295	0.25	15000	3.1862	0.0	0.0	0.0	0.0	512.0
3.1455	0.33	20000	3.1291	0.0	0.0	0.0	0.0	512.0
3.0526	0.41	25000	3.0684	0.0	0.0	0.0	0.0	512.0
3.0024	0.5	30000	3.0134	0.0	0.0	0.0	0.0	512.0
2.9671	0.58	35000	2.9696	0.0	0.0	0.0	0.0	512.0
2.9862	0.66	40000	2.9431	0.0	0.0	0.0	0.0	512.0
2.9168	0.75	45000	2.8989	0.0	0.0	0.0	0.0	512.0
2.9063	0.83	50000	2.8559	0.0	0.0	0.0	0.0	512.0
2.8417	0.91	55000	2.8398	0.0	0.0	0.0	0.0	512.0
2.7853	0.99	60000	2.8240	0.0	0.0	0.0	0.0	512.0

Framework versions

• Transformers 4.23.0.dev0
• Pytorch 1.12.0
• Datasets 2.4.0
• Tokenizers 0.12.1