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longt5_xl_gov_memsum_25

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.3918

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: 0.001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • num_epochs: 15.0

Training results

Training Loss Epoch Step Validation Loss
0.4372 1.0 68 1.6270
0.3678 1.99 136 1.8330
0.3026 2.99 204 1.8467
0.2785 3.99 272 1.9830
0.2489 5.0 341 2.1279
0.181 6.0 409 2.2981
0.1753 6.99 477 2.3683
0.1511 7.99 545 2.3130
0.1483 8.99 613 2.5342
0.2277 10.0 682 2.3054
0.1952 10.99 750 2.2331
0.1773 11.99 818 2.1944
0.1524 12.99 886 2.3607
0.1373 14.0 955 2.3946
0.1238 14.95 1020 2.3918

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2
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