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--- |
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language: |
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- ru |
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- kbd |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- anzorq/kbd_lat-ru |
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metrics: |
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- bleu |
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model-index: |
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- name: tst-translation |
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results: |
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- task: |
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name: translation |
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type: translation |
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dataset: |
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name: anzorq/kbd_lat-ru anzorq--kbd-ru |
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type: anzorq/kbd_lat-ru |
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args: anzorq--kbd-ru |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 12.649 |
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widget: |
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- text: "ru->kbd: Я иду домой." |
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example_title: "Я иду домой." |
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- text: "ru->kbd: Дети играют во дворе." |
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example_title: "Дети играют во дворе." |
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- text: "ru->kbd: Сколько тебе лет?" |
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example_title: "Сколько тебе лет?" |
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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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# tst-translation |
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This model is a fine-tuned version of [anzorq/kbd_lat-835k_ru-3M_t5-small](https://huggingface.co/anzorq/kbd_lat-835k_ru-3M_t5-small) on the anzorq/kbd_lat-ru anzorq--kbd-ru dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6000 |
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- Bleu: 12.649 |
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- Gen Len: 11.8018 |
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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: 5e-05 |
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- train_batch_size: 30 |
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- eval_batch_size: 30 |
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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: 35.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.21.0.dev0 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 1.16.0 |
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- Tokenizers 0.12.1 |
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