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rut5-base-absum-finetuned-summ
Laterr/rut5-base-absum-finetuned-summ
rut5-base-absum-finetuned-summ is a summarization model from Laterr. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Aug 22, 2025
- Updated
- Apr 1, 2026
- SHA
- 4dda0d59
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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-base-absum-finetuned-summ
This model is a fine-tuned version of cointegrated/rut5-base-absum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6039
- Rouge1: 97.0122
- Rouge2: 94.5148
- Rougel: 97.0189
- Rougelsum: 96.9668
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: 5.6e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 15 | 0.9642 | 88.9988 | 70.6048 | 88.8684 | 88.9803 |
| No log | 2.0 | 30 | 0.7765 | 94.6938 | 86.9198 | 94.7219 | 94.6778 |
| No log | 3.0 | 45 | 0.6995 | 96.1002 | 90.9986 | 96.058 | 96.058 |
| No log | 4.0 | 60 | 0.6596 | 96.0421 | 92.2644 | 96.067 | 96.0107 |
| No log | 5.0 | 75 | 0.6294 | 96.5868 | 93.2489 | 96.5836 | 96.5625 |
| No log | 6.0 | 90 | 0.6172 | 96.4605 | 92.827 | 96.4538 | 96.4071 |
| No log | 7.0 | 105 | 0.6091 | 97.0122 | 94.5148 | 97.0189 | 96.9668 |
| 1.0079 | 8.0 | 120 | 0.6039 | 97.0122 | 94.5148 | 97.0189 | 96.9668 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.2.1+cu118
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Summarization
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- Aug 22, 2025
- Updated
- Apr 1, 2026