README.md

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