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mt5-small-finetuned-amazon-en-es

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: nan
  • Rouge1: 0.0
  • Rouge2: 0.0
  • Rougel: 0.0
  • Rougelsum: 0.0

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
0.0 1.0 1209 nan 0.0 0.0 0.0 0.0
0.0 2.0 2418 nan 0.0 0.0 0.0 0.0
0.0 3.0 3627 nan 0.0 0.0 0.0 0.0
0.0 4.0 4836 nan 0.0 0.0 0.0 0.0
0.0 5.0 6045 nan 0.0 0.0 0.0 0.0
0.0 6.0 7254 nan 0.0 0.0 0.0 0.0
0.0 7.0 8463 nan 0.0 0.0 0.0 0.0
0.0 8.0 9672 nan 0.0 0.0 0.0 0.0

Framework versions

  • Transformers 4.33.3
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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