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--- |
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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: opus-mt-ru-en-finetuned |
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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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# opus-mt-ru-en-finetuned |
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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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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: 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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- Transformers 4.16.2 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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