BARTBana_Translation

This model is a fine-tuned version of IAmSkyDra/BARTBana_Before on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2217
  • Sacrebleu: 11.6180

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Use OptimizerNames.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: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Sacrebleu
0.3516 1.0 742 0.3021 5.8020
0.3025 2.0 1484 0.2653 8.0597
0.2608 3.0 2226 0.2486 9.2952
0.2482 4.0 2968 0.2385 10.0088
0.2298 5.0 3710 0.2329 10.4466
0.2216 6.0 4452 0.2278 10.6724
0.2057 7.0 5194 0.2247 10.8809
0.1977 8.0 5936 0.2221 11.0972
0.1927 9.0 6678 0.2215 11.3121
0.1841 10.0 7420 0.2208 11.3804
0.1781 11.0 8162 0.2208 11.3954
0.1733 12.0 8904 0.2209 11.5012
0.1694 13.0 9646 0.2207 11.5774
0.166 14.0 10388 0.2214 11.5994
0.1626 15.0 11130 0.2217 11.6180

Framework versions

  • Transformers 4.48.0
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0
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