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metadata
base_model: IAmSkyDra/BARTBana_v5
library_name: transformers
license: mit
metrics:
  - sacrebleu
tags:
  - generated_from_trainer
model-index:
  - name: BARTBana_Translation_v5
    results: []

BARTBana_Translation_v5

This model is a fine-tuned version of IAmSkyDra/BARTBana_v5 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5602
  • Sacrebleu: 7.0962

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
0.8121 1.0 742 0.7206 1.9030
0.7484 2.0 1484 0.6697 2.9685
0.6761 3.0 2226 0.6374 4.0287
0.6557 4.0 2968 0.6162 4.8115
0.6185 5.0 3710 0.6006 5.2849
0.6033 6.0 4452 0.5889 5.7585
0.573 7.0 5194 0.5807 6.1391
0.5573 8.0 5936 0.5758 6.3215
0.5491 9.0 6678 0.5688 6.4682
0.534 10.0 7420 0.5653 6.7433
0.5204 11.0 8162 0.5630 6.8459
0.5144 12.0 8904 0.5620 6.9725
0.5069 13.0 9646 0.5602 7.0593
0.5021 14.0 10388 0.5596 7.0546
0.4929 15.0 11130 0.5602 7.0962

Framework versions

  • Transformers 4.48.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0