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abdiharyadi/opus-mt-ft-5

🤗 Hugging Face sourceapache-2.072M params289 MBsafetensors✓ 3 checksumsupdated today
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opus-mt-ft-5

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

  • eval_loss: 0.1826
  • eval_exact_match: 1.0
  • eval_runtime: 32.477
  • eval_samples_per_second: 6.528
  • eval_steps_per_second: 0.831
  • epoch: 7.0
  • step: 189

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: 5e-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: 10

Framework versions

  • Transformers 4.41.0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1