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mt5-small-finetuned-1epoch-opus_books-en-to-it

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

  • Loss: 3.3717

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

Training results

Training Loss Epoch Step Validation Loss
4.5201 1.0 3638 3.3717

Framework versions

  • Transformers 4.23.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.6.0
  • Tokenizers 0.13.1
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Dataset used to train mriggs/mt5-small-finetuned-1epoch-opus_books-en-to-it