arinze's picture
update model card README.md
5cab9d0
metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - xsum
metrics:
  - rouge
model-index:
  - name: t5_finetuned_xsum_hr
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: xsum
          type: xsum
          config: default
          split: train
          args: default
        metrics:
          - name: Rouge1
            type: rouge
            value: 29.1239

t5_finetuned_xsum_hr

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

  • Loss: 2.4224
  • Rouge1: 29.1239
  • Rouge2: 8.3165
  • Rougel: 22.9946
  • Rougelsum: 22.9996
  • Gen Len: 18.819

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.6839 1.0 12753 2.4474 28.721 8.0397 22.6568 22.6527 18.8324
2.6425 2.0 25506 2.4224 29.1239 8.3165 22.9946 22.9996 18.819

Framework versions

  • Transformers 4.21.0
  • Pytorch 1.12.0
  • Datasets 2.4.0
  • Tokenizers 0.12.1