en_to_dzo_helsinki_nlp_m2

This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-bible-big-mul-mul on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3012
  • Bleu: 2.8367
  • Gen Len: 119.2242

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: 9
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.8419 1.0 562 0.5239 0.0 121.8458
0.5144 2.0 1124 0.4316 1.0161 118.9429
0.4296 3.0 1686 0.3774 0.8574 118.6066
0.3759 4.0 2248 0.3462 1.4119 118.6577
0.3351 5.0 2810 0.3250 2.0178 119.8008
0.3065 6.0 3372 0.3123 2.5655 118.7538
0.2839 7.0 3934 0.3037 3.0749 118.5455
0.2665 8.0 4496 0.3023 2.9584 119.3423
0.2441 9.0 5058 0.3012 2.8367 119.2242

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.20.3
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