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README.md
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This model is a fine-tuned version of [kazandaev/opus-mt-ru-en-finetuned](https://huggingface.co/kazandaev/opus-mt-ru-en-finetuned) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Bleu: 43.
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- Gen Len: 26.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 49
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- eval_batch_size: 24
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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| 0.7935 | 6.0 | 210882 | 1.0453 | 43.2605 | 26.1132 |
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| 0.8058 | 7.0 | 246029 | 1.0443 | 43.1831 | 26.1057 |
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| 0.8118 | 8.0 | 281176 | 1.0419 | 43.432 | 26.127 |
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| 0.8223 | 9.0 | 316323 | 1.0405 | 43.4938 | 26.181 |
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| 0.8462 | 10.0 | 351470 | 1.0396 | 43.4662 | 26.1749 |
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### Framework versions
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This model is a fine-tuned version of [kazandaev/opus-mt-ru-en-finetuned](https://huggingface.co/kazandaev/opus-mt-ru-en-finetuned) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0379
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- Bleu: 43.3073
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- Gen Len: 26.1682
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-06
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- train_batch_size: 49
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- eval_batch_size: 24
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
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| 0.8428 | 1.0 | 35147 | 1.0405 | 43.2785 | 26.1278 |
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| 0.8485 | 2.0 | 70294 | 1.0383 | 43.3787 | 26.1725 |
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| 0.8474 | 3.0 | 105441 | 1.0380 | 43.4092 | 26.1561 |
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| 0.8373 | 4.0 | 140588 | 1.0379 | 43.3883 | 26.1952 |
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| 0.8299 | 5.0 | 175735 | 1.0379 | 43.3073 | 26.1682 |
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### Framework versions
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