translation-opus-mt-en-ro-finetuned-en-to-ro
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.3443
- eval_bleu: 27.5528
- eval_gen_len: 34.1251
- eval_runtime: 165.0632
- eval_samples_per_second: 12.111
- eval_steps_per_second: 0.757
- epoch: 2.0
- step: 76290
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for MalikIbrar/opus-mt-en-ro-finetuned-en-to-ro
Base model
Helsinki-NLP/opus-mt-en-ro