---
library_name: transformers
base_model: ai-forever/ruT5-base
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ilo-toki-rut5-base
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ilo-toki-rut5-base

This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7742
- Bleu: 31.1318

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 0.8262        | 1.0   | 31041  | 1.1476          | 20.3554 |
| 1.2097        | 2.0   | 62082  | 1.0090          | 24.1511 |
| 0.3034        | 3.0   | 93123  | 0.9302          | 26.2398 |
| 0.7045        | 4.0   | 124164 | 0.8848          | 27.3941 |
| 0.2932        | 5.0   | 155205 | 0.8512          | 28.3013 |
| 0.2401        | 6.0   | 186246 | 0.8291          | 28.9026 |
| 0.7421        | 7.0   | 217287 | 0.8129          | 29.5286 |
| 0.3411        | 8.0   | 248328 | 0.7978          | 29.9663 |
| 0.516         | 9.0   | 279369 | 0.7910          | 30.2774 |
| 0.6968        | 10.0  | 310410 | 0.7847          | 30.6053 |
| 0.2133        | 11.0  | 341451 | 0.7792          | 30.8103 |
| 0.4           | 12.0  | 372492 | 0.7770          | 30.9236 |
| 0.5006        | 13.0  | 403533 | 0.7755          | 31.0467 |
| 0.3673        | 14.0  | 434574 | 0.7742          | 31.1312 |
| 0.4823        | 15.0  | 465615 | 0.7752          | 31.1158 |


### Framework versions

- Transformers 4.56.2
- Pytorch 2.8.0+cu129
- Datasets 3.6.0
- Tokenizers 0.22.0