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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- para_pat |
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metrics: |
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- bleu |
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model-index: |
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- name: opus-mt-ru-uk-finetuned-ru-to-uk |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: para_pat |
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type: para_pat |
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config: ru-uk |
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split: train |
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args: ru-uk |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 70.1044 |
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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-uk-finetuned-ru-to-uk |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ru-uk](https://huggingface.co/Helsinki-NLP/opus-mt-ru-uk) on the para_pat dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5266 |
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- Bleu: 70.1044 |
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- Gen Len: 122.6206 |
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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: 32 |
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- eval_batch_size: 32 |
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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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| 0.9218 | 1.0 | 2150 | 0.6965 | 64.5544 | 123.2615 | |
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| 0.7195 | 2.0 | 4300 | 0.5750 | 68.3283 | 122.4044 | |
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| 0.6363 | 3.0 | 6450 | 0.5380 | 69.7152 | 122.6875 | |
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| 0.6086 | 4.0 | 8600 | 0.5266 | 70.1044 | 122.6206 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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