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ruT5_hd_tickets_cleaner
uzorovK/ruT5_hd_tickets_cleaner
ruT5_hd_tickets_cleaner 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
- Nov 10, 2025
- Updated
- Nov 10, 2025
- SHA
- c4bc0d74
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_hd_tickets_cleaner
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: 27.6308
- Rouge2: 7.0773
- Rougel: 27.4000
- Rougelsum: 27.4282
- Gen Len: 124.5
- Loss: 0.1210
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 |
|---|---|---|---|---|---|---|---|---|
| 4.1053 | 1.0 | 57 | 0.0 | 0.0 | 0.0 | 0.0 | 0.06 | 0.3402 |
| 0.5072 | 2.0 | 114 | 24.9319 | 4.5161 | 24.9296 | 24.6395 | 121.94 | 0.2054 |
| 0.3207 | 3.0 | 171 | 27.9657 | 6.3338 | 27.7444 | 27.4873 | 124.36 | 0.1624 |
| 0.2669 | 4.0 | 228 | 28.3503 | 6.1986 | 28.1966 | 28.2528 | 124.48 | 0.1468 |
| 0.2171 | 5.0 | 285 | 29.5230 | 7.1443 | 29.5008 | 29.3333 | 124.5 | 0.1369 |
| 0.1792 | 6.0 | 342 | 32.1619 | 7.5140 | 31.9657 | 31.4165 | 124.48 | 0.1314 |
| 0.177 | 7.0 | 399 | 31.6686 | 6.8931 | 31.4190 | 31.3302 | 126.96 | 0.1256 |
| 0.1399 | 8.0 | 456 | 29.5794 | 5.7714 | 29.6270 | 29.2778 | 124.48 | 0.1282 |
| 0.1229 | 9.0 | 513 | 27.3419 | 5.5325 | 27.5182 | 27.3056 | 124.5 | 0.1211 |
| 0.1308 | 10.0 | 570 | 26.7754 | 5.9141 | 26.6904 | 26.5173 | 124.46 | 0.1259 |
| 0.1164 | 11.0 | 627 | 29.6974 | 6.5350 | 29.9128 | 29.5000 | 124.48 | 0.1207 |
| 0.0994 | 12.0 | 684 | 29.6974 | 6.5350 | 29.8615 | 29.4308 | 123.98 | 0.1187 |
| 0.1116 | 13.0 | 741 | 27.7020 | 6.8939 | 27.5474 | 27.4379 | 126.98 | 0.1227 |
| 0.1096 | 14.0 | 798 | 29.3949 | 5.6064 | 29.4974 | 29.0667 | 124.5 | 0.1217 |
| 0.0968 | 15.0 | 855 | 29.1429 | 6.3077 | 29.3641 | 28.8260 | 124.5 | 0.1209 |
| 0.0908 | 16.0 | 912 | 27.2810 | 5.7125 | 27.2952 | 27.2857 | 124.5 | 0.1227 |
| 0.0839 | 17.0 | 969 | 28.1333 | 7.6077 | 27.8667 | 27.8667 | 124.5 | 0.1216 |
| 0.0839 | 18.0 | 1026 | 28.1333 | 7.6077 | 27.8667 | 27.8667 | 124.5 | 0.1219 |
| 0.0979 | 19.0 | 1083 | 27.7333 | 7.1192 | 27.5333 | 27.5667 | 124.5 | 0.1214 |
| 0.0868 | 20.0 | 1140 | 27.6308 | 7.0773 | 27.4000 | 27.4282 | 124.5 | 0.1210 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- t5
- Created
- Nov 10, 2025
- Updated
- Nov 10, 2025