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update model card README.md
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metadata
				license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - farleyknight/big_patent_5_percent
metrics:
  - rouge
model-index:
  - name: patent-summarization-allen-led-large-2022-09-20
    results:
      - task:
          name: Summarization
          type: summarization
        dataset:
          name: farleyknight/big_patent_5_percent
          type: farleyknight/big_patent_5_percent
          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 farleyknight/big_patent_5_percent dataset. It achieves the following results on the evaluation set:

  • Loss: 2.8233
  • Rouge1: 0.0
  • Rouge2: 0.0
  • Rougel: 0.0
  • Rougelsum: 0.0
  • Gen Len: 128.0

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