bart-base_opus

This model is a fine-tuned version of Heit39/bart-base_opus on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4335
  • Bleu: 5.418
  • Gen Len: 18.8368

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
1.7055 1.0 6355 1.4818 5.1722 18.8348
1.5835 2.0 12710 1.4335 5.418 18.8368

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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