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byt5-base-es_pbb

This model is a fine-tuned version of google/byt5-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8368
  • Bleu: 2.9665
  • Gen Len: 100.0518

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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 65
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10.0

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 397 1.1680 0.0083 19.0
1.7159 2.0 794 1.0287 0.0165 19.0
1.1916 3.0 1191 0.9632 0.0177 19.0
1.077 4.0 1588 0.9212 0.0307 19.0
1.077 5.0 1985 0.8921 0.0278 19.0
1.0159 6.0 2382 0.8694 0.0465 19.0
0.9723 7.0 2779 0.8543 0.0489 19.0
0.9457 8.0 3176 0.8452 0.0451 19.0
0.9276 9.0 3573 0.8381 0.0496 19.0
0.9276 10.0 3970 0.8368 0.048 19.0

Framework versions

  • Transformers 4.27.4
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3
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