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flan-t5-xl

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

  • Loss: 1.2648
  • Rouge1: 45.1318
  • Rouge2: 22.2773
  • Rougel: 31.9084
  • Rougelsum: 42.0558
  • Gen Len: 94.2332

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: 0.0001
  • train_batch_size: 24
  • eval_batch_size: 24
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • total_train_batch_size: 96
  • total_eval_batch_size: 96
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.4352 1.0 2991 1.2645 43.8582 21.2227 30.7038 40.761 101.9968
1.3198 2.0 5982 1.2525 44.4594 21.8174 31.4304 41.4563 94.0733
1.2151 3.0 8973 1.2648 45.1318 22.2773 31.9084 42.0558 94.2332

Framework versions

  • Transformers 4.27.1
  • Pytorch 2.0.0
  • Datasets 2.10.1
  • Tokenizers 0.13.2
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Dataset used to train bbhattar/flan_t5_xl_cnn_dailymail

Evaluation results