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ruT5_cleaner_400
uzorovK/ruT5_cleaner_400
ruT5_cleaner_400 is a machine learning model from uzorovK. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Oct 13, 2025
- Updated
- Oct 13, 2025
- SHA
- f2f2461a
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
ruT5_cleaner_400
This model is a fine-tuned version of ai-forever/ruT5-base on the None dataset. It achieves the following results on the evaluation set:
- Rouge1: 34.5060
- Rouge2: 8.5
- Rougel: 34.3452
- Rougelsum: 34.1786
- Gen Len: 96.925
- Loss: 0.1071
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Validation Loss |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 45 | 30.5417 | 10.0 | 30.3472 | 30.4971 | 127.0 | 0.1532 |
| 0.2302 | 2.0 | 90 | 30.6793 | 12.0 | 30.8033 | 30.9048 | 127.0 | 0.1490 |
| 0.1755 | 3.0 | 135 | 30.1766 | 9.5 | 29.9206 | 30.1131 | 126.875 | 0.1265 |
| 0.2222 | 4.0 | 180 | 27.5952 | 8.5 | 27.6310 | 27.8512 | 77.95 | 0.1163 |
| 0.1828 | 5.0 | 225 | 24.0357 | 5.7692 | 24.0476 | 23.8571 | 126.9 | 0.1069 |
| 0.1515 | 6.0 | 270 | 26.5952 | 6.0 | 26.7976 | 26.6667 | 126.95 | 0.1094 |
| 0.1376 | 7.0 | 315 | 33.75 | 8.75 | 33.3333 | 33.3333 | 116.0 | 0.1059 |
| 0.1247 | 8.0 | 360 | 34.75 | 8.75 | 34.5833 | 34.4167 | 97.975 | 0.1044 |
| 0.1114 | 9.0 | 405 | 32.8274 | 8.9286 | 32.7976 | 32.9167 | 126.925 | 0.1023 |
| 0.1027 | 10.0 | 450 | 34.6429 | 8.5 | 34.1667 | 34.5238 | 118.0 | 0.1028 |
| 0.1027 | 11.0 | 495 | 31.6667 | 5.8333 | 31.4955 | 31.4583 | 118.0 | 0.1050 |
| 0.1006 | 12.0 | 540 | 32.0833 | 6.0 | 32.0833 | 31.9643 | 97.975 | 0.1043 |
| 0.0878 | 13.0 | 585 | 34.7619 | 8.5 | 34.5833 | 34.5833 | 91.925 | 0.1037 |
| 0.087 | 14.0 | 630 | 33.7013 | 8.0000 | 33.5227 | 33.2955 | 127.0 | 0.1075 |
| 0.0794 | 15.0 | 675 | 33.0043 | 8.3803 | 32.8333 | 32.6667 | 126.925 | 0.1081 |
| 0.0958 | 16.0 | 720 | 35.2787 | 10.5000 | 35.2906 | 35.4340 | 126.925 | 0.1058 |
| 0.0779 | 17.0 | 765 | 34.3452 | 8.5 | 34.3452 | 34.0179 | 96.925 | 0.1077 |
| 0.0758 | 18.0 | 810 | 34.3452 | 8.5 | 34.3452 | 34.0179 | 96.925 | 0.1076 |
| 0.0872 | 19.0 | 855 | 34.5060 | 8.5 | 34.3452 | 34.1786 | 96.925 | 0.1070 |
| 0.0694 | 20.0 | 900 | 34.5060 | 8.5 | 34.3452 | 34.1786 | 96.925 | 0.1071 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- t5
- Created
- Oct 13, 2025
- Updated
- Oct 13, 2025