README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - cnn_dailymail
metrics:
  - rouge
model-index:
  - name: tst-summarization
    results:
      - task:
          name: Summarization
          type: summarization
        dataset:
          name: cnn_dailymail 3.0.0
          type: cnn_dailymail
          config: 3.0.0
          split: validation
          args: 3.0.0
        metrics:
          - name: Rouge1
            type: rouge
            value: 41.607
language:
  - en
library_name: transformers
pipeline_tag: summarization

tst-summarization

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

• Loss: 1.6418
• Rouge1: 41.607
• Rouge2: 19.2272
• Rougel: 29.4514
• Rougelsum: 38.8228
• Gen Len: 73.8731

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: 8
• eval_batch_size: 8
• 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 4.29.2
• Pytorch 1.13.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3