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metadata
license: apache-2.0
language:
  - en
tags:
  - generated_from_trainer
model-index:
  - name: t5-small-finetuned-turk-text-simplification
    results: []
widget:
  - text: >-
      simplify: the incident has been the subject of numerous reports as to
      ethics in scholarship .

T5 (small) finetuned-turk-text-simplification

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

  • Loss: 0.1001
  • Rouge2 Precision: 0.6825
  • Rouge2 Recall: 0.4542
  • Rouge2 Fmeasure: 0.5221

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge2 Precision Rouge2 Recall Rouge2 Fmeasure
0.4318 1.0 500 0.1053 0.682 0.4533 0.5214
0.0977 2.0 1000 0.1019 0.683 0.4545 0.5225
0.0938 3.0 1500 0.1010 0.6828 0.4547 0.5226
0.0916 4.0 2000 0.1003 0.6829 0.4545 0.5225
0.0906 5.0 2500 0.1001 0.6825 0.4542 0.5221

Framework versions

  • Transformers 4.21.3
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1