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mT5_multilingual_XLSum-finetuned-fa

This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on the pn_summary dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5703
  • Rouge-1: 45.12
  • Rouge-2: 26.25
  • Rouge-l: 39.96
  • Gen Len: 48.72
  • Bertscore: 79.54

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: 0.0005
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 250
  • num_epochs: 5
  • label_smoothing_factor: 0.1

Training results

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1
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Dataset used to train ahmeddbahaa/mT5_multilingual_XLSum-finetuned-fa