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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: flan_t5_summarization
    results: []

flan_t5_summarization

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

  • Loss: 0.6162
  • Rouge1: 15.9418
  • Rouge2: 7.4447
  • Rougel: 15.5655
  • Rougelsum: 15.5835
  • Gen Len: 18.7313

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: 12
  • eval_batch_size: 12
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 272 0.6162 15.9418 7.4447 15.5655 15.5835 18.7313
0.7405 2.0 544 0.6162 15.9418 7.4447 15.5655 15.5835 18.7313
0.7405 3.0 816 0.6162 15.9418 7.4447 15.5655 15.5835 18.7313
0.7453 4.0 1088 0.6162 15.9418 7.4447 15.5655 15.5835 18.7313
0.7453 5.0 1360 0.6162 15.9418 7.4447 15.5655 15.5835 18.7313
0.7372 6.0 1632 0.6162 15.9418 7.4447 15.5655 15.5835 18.7313
0.7372 7.0 1904 0.6162 15.9418 7.4447 15.5655 15.5835 18.7313
0.7436 8.0 2176 0.6162 15.9418 7.4447 15.5655 15.5835 18.7313
0.7436 9.0 2448 0.6162 15.9418 7.4447 15.5655 15.5835 18.7313
0.7425 10.0 2720 0.6162 15.9418 7.4447 15.5655 15.5835 18.7313

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2