flan-t5-base-samsum / README.md
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metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
  - generated_from_trainer
datasets:
  - samsum
metrics:
  - rouge
model-index:
  - name: flan-t5-base-samsum
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: samsum
          type: samsum
          config: samsum
          split: test
          args: samsum
        metrics:
          - name: Rouge1
            type: rouge
            value: 46.2923

flan-t5-base-samsum

This model is a fine-tuned version of google/flan-t5-base on the samsum dataset. It achieves the following results on the evaluation set:

  • Loss: nan
  • Rouge1: 46.2923
  • Rouge2: 22.272
  • Rougel: 38.6727
  • Rougelsum: 42.1955
  • Gen Len: 16.7778

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: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.0 1.0 1842 nan 46.2923 22.272 38.6727 42.1955 16.7778
0.0 2.0 3684 nan 46.2923 22.272 38.6727 42.1955 16.7778
0.0 3.0 5526 nan 46.2923 22.272 38.6727 42.1955 16.7778
0.0 4.0 7368 nan 46.2923 22.272 38.6727 42.1955 16.7778
0.0 5.0 9210 nan 46.2923 22.272 38.6727 42.1955 16.7778

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0