README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - billsum
metrics:
  - rouge
model-index:
  - name: t5-small-finetuned-billsum
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: billsum
          type: billsum
          args: default
        metrics:
          - name: Rouge1
            type: rouge
            value: 16.6044

t5-small-finetuned-billsum

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

• Loss: 2.0972
• Rouge1: 16.6044
• Rouge2: 12.8656
• Rougel: 15.7876
• Rougelsum: 15.9784
• Gen Len: 18.9948

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: 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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.3854	1.0	2369	2.0972	16.6044	12.8656	15.7876	15.9784	18.9948

Framework versions

• Transformers 4.10.2
• Pytorch 1.9.0+cu102
• Datasets 1.12.1
• Tokenizers 0.10.3