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lr_3e-05_batch_4_epoch_5_model

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3894
  • Rouge-1: 23.1328
  • Rouge-2: 8.2792
  • Rouge-l: 20.6918
  • Gen Len: 17.5857

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: 3e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • 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 Rouge-1 Rouge-2 Rouge-l Gen Len
4.3664 1.0 2714 3.6755 20.4397 7.1141 18.5425 15.2485
4.045 2.0 5428 3.5179 21.7301 7.5448 19.5604 17.0885
3.9873 3.0 8142 3.4348 22.7243 8.0561 20.314 17.2721
3.8907 4.0 10856 3.4019 22.9219 8.1905 20.5067 17.4083
3.7785 5.0 13570 3.3894 23.1328 8.2792 20.6918 17.5857

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.1.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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