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error-test

This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0649
  • Rouge1: 98.8411
  • Rouge2: 95.5257
  • Rougel: 98.8389
  • Rougelsum: 98.8411
  • Gen Len: 5.0

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.0675 1.0 2500 0.0649 98.8411 95.5257 98.8389 98.8411 5.0

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.0
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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