README.md

metadata

license: apache-2.0
base_model: google-t5/t5-small
tags:
  - generated_from_trainer
datasets:
  - cnn_dailymail
metrics:
  - rouge
model-index:
  - name: finetuned-t5-cnn_dailymail
    results:
      - task:
          name: Summarization
          type: summarization
        dataset:
          name: cnn_dailymail 3.0.0
          type: cnn_dailymail
          args: 3.0.0
        metrics:
          - name: Rouge1
            type: rouge
            value: 33.5809

finetuned-t5-cnn_dailymail

This model is a fine-tuned version of google-t5/t5-small on the cnn_dailymail 3.0.0 dataset. It achieves the following results on the evaluation set:

• Loss: 2.0404
• Rouge1: 33.5809
• Rouge2: 16.338
• Rougel: 27.0894
• Rougelsum: 31.8225
• Gen Len: 57.48

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.40.0.dev0
• Pytorch 2.2.1
• Datasets 2.18.0
• Tokenizers 0.15.2