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opus-mt-en-ru-finetuned
This model is a fine-tuned version of kazandaev/opus-mt-en-ru-finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7763
- Bleu: 41.0065
- Gen Len: 29.7548
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: 1e-06
- train_batch_size: 49
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.6903 | 1.0 | 35147 | 0.7779 | 40.9223 | 29.7846 |
| 0.6999 | 2.0 | 70294 | 0.7776 | 40.8267 | 29.8421 |
| 0.7257 | 3.0 | 105441 | 0.7769 | 40.8549 | 29.8765 |
| 0.7238 | 4.0 | 140588 | 0.7763 | 41.0225 | 29.7129 |
| 0.7313 | 5.0 | 175735 | 0.7763 | 41.0065 | 29.7548 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0
