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mt5-base-finetuned-english

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

  • Loss: 3.3271
  • Rouge-1: 31.7
  • Rouge-2: 11.83
  • Rouge-l: 26.43
  • Gen Len: 18.88
  • Bertscore: 74.3

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
  • 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
4.174 1.0 3125 3.5662 27.01 7.95 22.16 18.91 72.62
3.6577 2.0 6250 3.4304 28.84 9.09 23.64 18.87 73.32
3.4526 3.0 9375 3.3691 29.69 9.96 24.58 18.84 73.69
3.3091 4.0 12500 3.3368 30.38 10.32 25.1 18.9 73.9
3.2056 5.0 15625 3.3271 30.7 10.65 25.45 18.89 73.99

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.0
  • Tokenizers 0.12.1
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