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T5_finetuned

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

  • Loss: 0.1077
  • Rouge1: 79.3272
  • Rouge2: 0.0
  • Rougel: 79.2966
  • Rougelsum: 79.3272
  • Gen Len: 2.8269

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: 2e-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: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.5134 1.0 590 0.1102 79.8165 0.0 79.8165 79.8471 2.7713
0.105 2.0 1180 0.1049 80.3364 0.0 80.3364 80.367 2.6483
0.1023 3.0 1770 0.1077 79.3272 0.0 79.2966 79.3272 2.8269

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0+cu116
  • Datasets 2.8.0
  • Tokenizers 0.13.2
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Dataset used to train nc33/T5_finetuned

Evaluation results