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nmt_vo_head10k

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

  • eval_loss: 1.4075
  • eval_bleu: 29.7605
  • eval_runtime: 652.5635
  • eval_samples_per_second: 4.608
  • eval_steps_per_second: 2.305
  • step: 0

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: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu118
  • Datasets 2.4.0
  • Tokenizers 0.19.1
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