transformer-en-ru
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6527
- Bleu: 67.1147
- Gen Len: 127.0651
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.7937 | 1.0 | 568 | 0.6373 | 68.0996 | 127.3319 |
| 0.6728 | 2.0 | 1136 | 0.6028 | 69.6232 | 127.2664 |
| 0.6136 | 3.0 | 1704 | 0.5853 | 70.2068 | 126.963 |
| 0.5733 | 4.0 | 2272 | 0.5806 | 70.2274 | 127.2151 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0.dev20230205+cu117
- Datasets 2.13.1
- Tokenizers 0.14.1
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Base model
Helsinki-NLP/opus-mt-en-ru