marian-finetuned-opus100-en-to-ru
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on the opus100 dataset. It achieves the following results on the evaluation set:
- Loss: 1.4597
- Bleu: 34.0505
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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Model tree for rinkorn/marian-finetuned-opus100-en-to-ru
Base model
Helsinki-NLP/opus-mt-en-ru