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long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP14

Summarization Transformers PyTorch
longt5 text2text-generation summary booksum long-document long-form Eval Results
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metadata
license:
  - apache-2.0
  - bsd-3-clause
tags:
  - summarization
  - summary
  - booksum
  - long-document
  - long-form
datasets:
  - kmfoda/booksum
metrics:
  - rouge
inference: false
base_model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13
model-index:
  - name: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP14
    results:
      - task:
          type: summarization
          name: Summarization
        dataset:
          name: samsum
          type: samsum
          config: samsum
          split: test
        metrics:
          - type: rouge
            value: 23.5177
            name: ROUGE-1
            verified: true
            verifyToken: >-
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          - type: rouge
            value: 4.668
            name: ROUGE-2
            verified: true
            verifyToken: >-
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          - type: rouge
            value: 16.6091
            name: ROUGE-L
            verified: true
            verifyToken: >-
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          - type: rouge
            value: 20.3174
            name: ROUGE-LSUM
            verified: true
            verifyToken: >-
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          - type: loss
            value: 3.2174887657165527
            name: loss
            verified: true
            verifyToken: >-
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          - type: gen_len
            value: 57.1966
            name: gen_len
            verified: true
            verifyToken: >-
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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: 35.9884
            name: ROUGE-1
            verified: true
            verifyToken: >-
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          - type: rouge
            value: 6.0596
            name: ROUGE-2
            verified: true
            verifyToken: >-
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          - type: rouge
            value: 16.1419
            name: ROUGE-L
            verified: true
            verifyToken: >-
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          - type: rouge
            value: 32.9992
            name: ROUGE-LSUM
            verified: true
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          - type: loss
            value: 2.9468588829040527
            name: loss
            verified: true
            verifyToken: >-
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          - type: gen_len
            value: 298.2593
            name: gen_len
            verified: true
            verifyToken: >-
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long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP14

This model is a fine-tuned version of pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13 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: 0.0006
  • train_batch_size: 4
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 16
  • 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: 0.02
  • num_epochs: 2

Framework versions

  • Transformers 4.22.0
  • Pytorch 1.12.1
  • Datasets 2.4.0
  • Tokenizers 0.12.1