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long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP17

Summarization
Transformers
PyTorch
longt5
text2text-generation
summary
booksum
long-document
long-form
Eval Results
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long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP17 / README.md
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metadata
license:
  - apache-2.0
  - bsd-3-clause
tags:
  - summarization
  - summary
  - booksum
  - long-document
  - long-form
datasets:
  - kmfoda/booksum
inference: false
base_model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP16
model-index:
  - name: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP17
    results:
      - task:
          type: summarization
          name: Summarization
        dataset:
          name: launch/gov_report
          type: launch/gov_report
          config: plain_text
          split: test
        metrics:
          - type: rouge
            value: 36.8427
            name: ROUGE-1
            verified: true
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          - type: rouge
            value: 8.4234
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          - type: rouge
            value: 17.774
            name: ROUGE-L
            verified: true
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          - type: rouge
            value: 33.2901
            name: ROUGE-LSUM
            verified: true
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          - type: loss
            value: 3.765686511993408
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            verified: true
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            value: 213.8849
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            verified: true
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      - task:
          type: summarization
          name: Summarization
        dataset:
          name: kmfoda/booksum
          type: kmfoda/booksum
          config: kmfoda--booksum
          split: test
        metrics:
          - type: rouge
            value: 35.4324
            name: ROUGE-1
            verified: true
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          - type: rouge
            value: 5.9586
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            verified: true
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          - type: rouge
            value: 16.134
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            verified: true
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          - type: rouge
            value: 32.4141
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          - type: loss
            value: 3.050943374633789
            name: loss
            verified: true
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          - type: gen_len
            value: 279.8735
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            verified: true
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      - task:
          type: summarization
          name: Summarization
        dataset:
          name: billsum
          type: billsum
          config: default
          split: test
        metrics:
          - type: rouge
            value: 38.066
            name: ROUGE-1
            verified: true
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          - type: rouge
            value: 12.5289
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          - type: rouge
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          - type: loss
            value: 3.0360958576202393
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            verified: true
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          - type: gen_len
            value: 161.4671
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long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP17

This model is a fine-tuned version of pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP16 on the kmfoda/booksum dataset.

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: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 64
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.01
  • num_epochs: 3

Framework versions

  • Transformers 4.23.0.dev0
  • Pytorch 1.10.0+cu113
  • Datasets 2.5.1
  • Tokenizers 0.12.1