---
tags:
- summarization
- summary
- booksum
- long-document
- long-form
license:
- apache-2.0
- bsd-3-clause
datasets:
- kmfoda/booksum
metrics:
- rouge
inference: false
model-index:
- name: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13
  results:
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: samsum
      type: samsum
      config: samsum
      split: test
    metrics:
    - name: ROUGE-1
      type: rouge
      value: 24.4101
      verified: true
    - name: ROUGE-2
      type: rouge
      value: 5.003
      verified: true
    - name: ROUGE-L
      type: rouge
      value: 17.2544
      verified: true
    - name: ROUGE-LSUM
      type: rouge
      value: 20.9183
      verified: true
    - name: loss
      type: loss
      value: 3.194674015045166
      verified: true
    - name: gen_len
      type: gen_len
      value: 58.9951
      verified: true
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: billsum
      type: billsum
      config: default
      split: test
    metrics:
    - name: ROUGE-1
      type: rouge
      value: 37.3648
      verified: true
    - name: ROUGE-2
      type: rouge
      value: 12.3316
      verified: true
    - name: ROUGE-L
      type: rouge
      value: 22.075
      verified: true
    - name: ROUGE-LSUM
      type: rouge
      value: 31.1679
      verified: true
    - name: loss
      type: loss
      value: 2.745267391204834
      verified: true
    - name: gen_len
      type: gen_len
      value: 157.3126
      verified: true
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: xsum
      type: xsum
      config: default
      split: test
    metrics:
    - name: ROUGE-1
      type: rouge
      value: 18.2975
      verified: true
    - name: ROUGE-2
      type: rouge
      value: 2.6806
      verified: true
    - name: ROUGE-L
      type: rouge
      value: 11.9453
      verified: true
    - name: ROUGE-LSUM
      type: rouge
      value: 14.2121
      verified: true
    - name: loss
      type: loss
      value: 4.836681365966797
      verified: true
    - name: gen_len
      type: gen_len
      value: 96.2584
      verified: true
---


# long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13 

> Evaluating some metric results before merging with the "main" wip version

This model is a fine-tuned version of [pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP12](https://huggingface.co/pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP12) on the `kmfoda/booksum`. 

The "base" checkpoint that I update when a training session is productive is [here](https://huggingface.co/pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP)


## 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: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 1.1

### Framework versions

- Transformers 4.21.2
- Pytorch 1.10.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1