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byt5-base-es_guc

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: 0.7552
  • Bleu: 2.594
  • Gen Len: 100.8294

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 1.0 381 1.0652 0.0167 19.0
1.5288 2.0 762 0.9339 0.0402 19.0
1.063 3.0 1143 0.8651 0.0311 19.0
0.9558 4.0 1524 0.8271 0.1018 19.0
0.9558 5.0 1905 0.8043 0.0744 19.0
0.8979 6.0 2286 0.7831 0.0786 19.0
0.8598 7.0 2667 0.7699 0.086 19.0
0.8346 8.0 3048 0.7630 0.0803 19.0
0.8346 9.0 3429 0.7572 0.1179 19.0
0.8194 10.0 3810 0.7552 0.1133 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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