mt5-small-finetuned-mlsum

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

  • Loss: nan
  • Rouge1: 1.1475
  • Rouge2: 0.1284
  • Rougel: 1.0634
  • Rougelsum: 1.0778
  • Gen Len: 3.7939

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: 2e-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: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
nan 1.0 808 nan 1.1475 0.1284 1.0634 1.0778 3.7939

Framework versions

  • Transformers 4.10.3
  • Pytorch 1.9.0+cu102
  • Datasets 1.12.1
  • Tokenizers 0.10.3
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Evaluation results