README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - samsum
metrics:
  - rouge
model-index:
  - name: flan-t5-xl-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: 49.0281

flan-t5-xl-samsum

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

• Loss: nan
• Rouge1: 49.0281
• Rouge2: 25.8273
• Rougel: 41.7919
• Rougelsum: 45.2608
• Gen Len: 16.6874

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: 3e-05
• train_batch_size: 4
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	3683	nan	49.0281	25.8273	41.7919	45.2608	16.6874
0.0	2.0	7366	nan	49.0281	25.8273	41.7919	45.2608	16.6874

Framework versions

• Transformers 4.26.0
• Pytorch 1.12.0+cu116
• Datasets 2.9.0
• Tokenizers 0.12.1