t5-base-spanish-yoremnokki

This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7231
  • Bleu: 13.837
  • Gen Len: 14.1189

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: 1e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 7
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
3.5123 0.9994 846 2.3345 0.2307 14.7029
2.4145 2.0 1693 2.0424 1.9545 14.144
2.1669 2.9994 2539 1.8778 9.3899 14.1364
2.0852 4.0 3386 1.7938 13.1303 14.0983
1.9892 4.9994 4232 1.7520 13.5863 14.1249
1.9364 6.0 5079 1.7295 13.7623 14.1375
1.9286 6.9959 5922 1.7231 13.837 14.1189

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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