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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-en-ru |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: transformer-en-ru |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# transformer-en-ru |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/Helsinki-NLP/opus-mt-en-ru) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6527 |
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- Bleu: 67.1147 |
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- Gen Len: 127.0651 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 4 |
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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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| 0.7937 | 1.0 | 568 | 0.6373 | 68.0996 | 127.3319 | |
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| 0.6728 | 2.0 | 1136 | 0.6028 | 69.6232 | 127.2664 | |
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| 0.6136 | 3.0 | 1704 | 0.5853 | 70.2068 | 126.963 | |
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| 0.5733 | 4.0 | 2272 | 0.5806 | 70.2274 | 127.2151 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.0.0.dev20230205+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.14.1 |
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