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mt5-base-finetuned-fa

This model is a fine-tuned version of google/mt5-base on the pn_summary dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6477
  • Rouge-1: 33.7
  • Rouge-2: 21.28
  • Rouge-l: 31.69
  • Gen Len: 19.0
  • Bertscore: 74.52

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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • 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

Training Loss Epoch Step Validation Loss Rouge-1 Rouge-2 Rouge-l Gen Len Bertscore
3.3828 1.0 1875 2.8114 32.17 19.47 30.12 18.99 74.25
2.8204 2.0 3750 2.7080 32.67 19.92 30.56 19.0 74.31
2.6907 3.0 5625 2.6724 33.22 20.44 31.11 19.0 74.47
2.6029 4.0 7500 2.6513 33.46 20.75 31.38 19.0 74.54
2.5414 5.0 9375 2.6477 33.68 20.91 31.62 19.0 74.58

Framework versions

  • Transformers 4.19.4
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1
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Dataset used to train ahmeddbahaa/mt5-base-finetuned-fa