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Administration_RuRoberta_base
Goshective/Administration_RuRoberta_base
Administration_RuRoberta_base is a text classification model from Goshective. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Aug 18, 2025
- Updated
- Aug 18, 2025
- SHA
- eb06689d
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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. -->
Administration_RuRoberta_base
This model is a fine-tuned version of sberbank-ai/ruRoberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6447
- Accuracy: 0.4069
- Top 2 Accuracy: 0.5663
- Top 3 Accuracy: 0.6390
- Roc Auc: 0.9061
- F1: 0.3295
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: 1e-05
- train_batch_size: 12
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Top 2 Accuracy | Top 3 Accuracy | Roc Auc | F1 |
|---|---|---|---|---|---|---|---|---|
| 4.5494 | 1.0 | 262 | 3.5980 | 0.2653 | 0.3457 | 0.3992 | 0.7987 | 0.1532 |
| 3.5188 | 2.0 | 524 | 2.9169 | 0.3610 | 0.5102 | 0.5842 | 0.8921 | 0.2659 |
| 2.9534 | 3.0 | 786 | 2.7003 | 0.3954 | 0.5446 | 0.6314 | 0.9036 | 0.3091 |
| 2.3485 | 4.0 | 1048 | 2.6447 | 0.4069 | 0.5663 | 0.6390 | 0.9061 | 0.3295 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Aug 18, 2025
- Updated
- Aug 18, 2025