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translation_slo_eng_mt5_base

This model is a fine-tuned version of Helsinki-NLP/opus-mt-sla-en on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4506
  • Bleu: 40.4634
  • Gen Len: 13.3812

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
1.5663 1.0 5000 1.4506 40.4634 13.3812

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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