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punctuation-test-4

This model is a fine-tuned version of facebook/bart-base on the wmt16 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3411
  • Bleu: 39.1294
  • Gen Len: 18.4812

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.3331 1.0 625 0.3411 39.1294 18.4812

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.10.0+cu111
  • Datasets 2.0.0
  • Tokenizers 0.11.6
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Dataset used to train mikeadimech/punctuation-test-4

Evaluation results