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results_t5base

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

  • Loss: 0.3660
  • Rouge1: 0.904
  • Rouge2: 0.8349
  • Rougel: 0.8863
  • Gen Len: 237.7528

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Gen Len
0.6675 0.8969 200 0.5012 0.8797 0.7929 0.8578 236.6854
0.5426 1.7937 400 0.4133 0.8937 0.8192 0.8751 237.7101
0.2768 2.6906 600 0.3971 0.8984 0.8262 0.8797 237.7551
0.4136 3.5874 800 0.3864 0.9001 0.8295 0.8824 237.7483
0.3067 4.4843 1000 0.3815 0.9011 0.8307 0.8833 237.7506
0.4425 5.3812 1200 0.3735 0.9015 0.8319 0.884 237.7528
0.4285 6.2780 1400 0.3720 0.9026 0.8334 0.885 237.7528
0.3025 7.1749 1600 0.3687 0.9039 0.8345 0.8859 237.7528
0.2699 8.0717 1800 0.3681 0.9034 0.8341 0.8857 237.7528
0.4072 8.9686 2000 0.3657 0.9039 0.8349 0.8862 237.7528
0.4555 9.8655 2200 0.3660 0.904 0.8349 0.8863 237.7528

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.1.2
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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