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: 3.0285
  • Rouge1: 16.9728
  • Rouge2: 8.2969
  • Rougel: 16.8366
  • Rougelsum: 16.8510
  • Gen Len: 10.1597

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: 8e-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 Gen Len
6.4205 1.0 1209 3.3904 7.3124 2.1083 7.0649 7.0966 4.7269
3.7818 2.0 2418 3.1762 10.5437 3.0706 10.4618 10.4713 5.3697
3.4672 3.0 3627 3.1304 10.4674 3.0531 10.2156 10.2549 5.9748
3.3179 4.0 4836 3.1170 11.2847 3.3152 11.1387 11.146 6.1723
3.2048 5.0 6045 3.1069 11.5212 3.1957 11.2117 11.2044 6.042
3.1211 6.0 7254 3.1028 11.8104 3.6482 11.5535 11.5259 6.0462
3.0724 7.0 8463 3.1001 11.7336 3.6575 11.4403 11.4738 5.9454
3.0476 8.0 9672 3.0983 11.8061 3.6575 11.4999 11.5414 5.9286

Framework versions

  • Transformers 4.12.0.dev0
  • Pytorch 1.9.1+cu111
  • Datasets 1.12.2.dev0
  • Tokenizers 0.10.3
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