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t5-small-finetuned-text-simplification

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

  • eval_loss: 4.9058
  • eval_sari: 57.2104
  • eval_runtime: 907.1945
  • eval_samples_per_second: 80.742
  • eval_steps_per_second: 5.047
  • epoch: 3.0
  • step: 70089

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: 3.0
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.27.3
  • Pytorch 1.13.0
  • Datasets 2.1.0
  • Tokenizers 0.13.2
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Dataset used to train husseinMoh/t5-small-finetuned-text-simplification