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mt5-small-finetuned-amazon-en-es

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

  • Loss: 3.0303
  • Rouge1: 16.5661
  • Rouge2: 7.6422
  • Rougel: 15.9325
  • Rougelsum: 16.1062

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: 5.6e-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: 8

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
6.9675 1.0 1209 3.2986 15.3957 6.8712 14.6828 14.7531
3.8997 2.0 2418 3.1665 16.4337 7.643 15.6402 15.7636
3.5826 3.0 3627 3.1106 17.1701 8.4324 16.2932 16.4799
3.421 4.0 4836 3.0963 17.3456 8.7698 16.6576 16.7746
3.3089 5.0 6045 3.0490 16.7603 7.6345 16.1315 16.163
3.2437 6.0 7254 3.0401 16.6348 7.9563 15.8642 16.0271
3.2133 7.0 8463 3.0292 16.3252 7.6422 15.8291 15.9831
3.1851 8.0 9672 3.0303 16.5661 7.6422 15.9325 16.1062

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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