README.md

metadata

license: cc-by-4.0
tags:
  - generated_from_trainer
datasets:
  - aihub_paper_summarization
metrics:
  - rouge
model-index:
  - name: pko-t5-small-finetuned-paper-4564652
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: aihub_paper_summarization
          type: aihub_paper_summarization
          config: default
          split: train
          args: default
        metrics:
          - name: Rouge1
            type: rouge
            value: 4.874

pko-t5-small-finetuned-paper-4564652

This model is a fine-tuned version of paust/pko-t5-small on the aihub_paper_summarization dataset. It achieves the following results on the evaluation set:

• Loss: 0.4922
• Rouge1: 4.874
• Rouge2: 1.0497
• Rougel: 4.8599
• Rougelsum: 4.854
• Gen Len: 18.9953

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.1
• Datasets 2.8.0
• Tokenizers 0.13.2