mt5-base-finetuned-modernisa

This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3179
  • Bleu: 81.9164
  • Gen Len: 11.1876

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
0.4588 0.35 10000 0.4023 78.1616 11.1577
0.3982 0.71 20000 0.3584 79.3456 11.144
0.3465 1.06 30000 0.3424 80.4057 11.1625
0.3236 1.42 40000 0.3349 80.9978 11.1869
0.2983 1.77 50000 0.3243 81.5426 11.1925
0.278 2.13 60000 0.3210 81.794 11.2047
0.2584 2.48 70000 0.3205 81.8086 11.1986
0.2609 2.84 80000 0.3179 81.9164 11.1876

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