metadata
license: cc-by-4.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Helsinki-NLP-finetuned-ru-to-en
results: []
Helsinki-NLP-finetuned-ru-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ru-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1061
- Bleu: 36.9394
- Gen Len: 20.6363
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: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3