byt5-base-finetuned-modernisa

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: 0.1176
  • Bleu: 44.888
  • Gen Len: 18.4465

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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.1474 0.35 10000 0.1360 42.8789 18.4441
0.1328 0.71 20000 0.1303 43.5394 18.4368
0.1216 1.06 30000 0.1245 44.1557 18.4384
0.1167 1.42 40000 0.1219 44.1961 18.4449
0.1065 1.77 50000 0.1192 44.7353 18.443
0.099 2.13 60000 0.1195 44.522 18.4524
0.088 2.48 70000 0.1192 44.8243 18.4441
0.0907 2.84 80000 0.1176 44.888 18.4465

Framework versions

  • Transformers 4.13.0.dev0
  • Pytorch 1.10.0+cu111
  • Datasets 1.15.2.dev0
  • Tokenizers 0.10.3
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Evaluation results