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---
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library_name: transformers
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base_model: ai-forever/ruT5-base
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tags:
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- translation
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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: ilo-toki-rut5-base
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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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# ilo-toki-rut5-base
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This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7742
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- Bleu: 31.1318
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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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu |
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|:-------------:|:-----:|:------:|:---------------:|:-------:|
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| 0.8262 | 1.0 | 31041 | 1.1476 | 20.3554 |
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| 1.2097 | 2.0 | 62082 | 1.0090 | 24.1511 |
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| 0.3034 | 3.0 | 93123 | 0.9302 | 26.2398 |
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| 0.7045 | 4.0 | 124164 | 0.8848 | 27.3941 |
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| 0.2932 | 5.0 | 155205 | 0.8512 | 28.3013 |
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| 0.2401 | 6.0 | 186246 | 0.8291 | 28.9026 |
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| 0.7421 | 7.0 | 217287 | 0.8129 | 29.5286 |
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| 0.3411 | 8.0 | 248328 | 0.7978 | 29.9663 |
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| 0.516 | 9.0 | 279369 | 0.7910 | 30.2774 |
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| 0.6968 | 10.0 | 310410 | 0.7847 | 30.6053 |
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| 0.2133 | 11.0 | 341451 | 0.7792 | 30.8103 |
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| 0.4 | 12.0 | 372492 | 0.7770 | 30.9236 |
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| 0.5006 | 13.0 | 403533 | 0.7755 | 31.0467 |
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| 0.3673 | 14.0 | 434574 | 0.7742 | 31.1312 |
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| 0.4823 | 15.0 | 465615 | 0.7752 | 31.1158 |
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### Framework versions
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- Transformers 4.56.2
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- Pytorch 2.8.0+cu129
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- Datasets 3.6.0
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- Tokenizers 0.22.0
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