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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_v50
    results: []

BARTBana_Translation_v50

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: 0.4529
  • Sacrebleu: 11.3538

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
0.7129 1.0 742 0.6236 4.9074
0.6174 2.0 1484 0.5494 7.5076
0.5369 3.0 2226 0.5121 8.8742
0.5094 4.0 2968 0.4908 9.6042
0.4722 5.0 3710 0.4776 10.1784
0.4548 6.0 4452 0.4667 10.4266
0.4253 7.0 5194 0.4624 10.7054
0.408 8.0 5936 0.4566 10.8654
0.3979 9.0 6678 0.4518 11.0410
0.381 10.0 7420 0.4508 11.1446
0.3689 11.0 8162 0.4508 11.1509
0.3595 12.0 8904 0.4524 11.2866
0.3511 13.0 9646 0.4513 11.3042
0.3451 14.0 10388 0.4519 11.3478
0.3367 15.0 11130 0.4529 11.3538

Framework versions

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