opus-mt-en-ru-finetuned-en-to-ru-amls
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on the wmt16 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2832
- Bleu: 28.7642
- Gen Len: 29.495
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.9806 | 1.0 | 94761 | 1.2832 | 28.7642 | 29.495 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for ktadzjibov/opus-mt-en-ru-finetuned-en-to-ru-amls
Base model
Helsinki-NLP/opus-mt-en-ru