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This model is a fine-tuned version of google/mt5-base on the wmt16 ro-en dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3594
  • Bleu: 27.1659
  • Gen Len: 43.9575

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: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10.0

Training results

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.12.0+cu102
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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Dataset used to train Lvxue/finetuned-mt5-base

Evaluation results