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metadata
tags:
  - generated_from_trainer
datasets:
  - multi_news
metrics:
  - rouge
model-index:
  - name: long-t5-tglobal-base-google-multimedia
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: multi_news
          type: multi_news
          config: default
          split: train[15000:20000]
          args: default
        metrics:
          - name: Rouge1
            type: rouge
            value: 0.1004

long-t5-tglobal-base-google-multimedia

This model is a fine-tuned version of QuangHuy54/long-t5-tglobal-base-google-multimedia on the multi_news dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9936
  • Rouge1: 0.1004
  • Rouge2: 0.0347
  • Rougel: 0.078
  • Rougelsum: 0.078
  • Gen Len: 18.995

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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.383 1.0 3000 1.9936 0.1004 0.0347 0.078 0.078 18.995

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3