Downloads · 30 days
6
7% of all-time downloads
Administration_RuRoberta_aug1
Goshective/Administration_RuRoberta_aug1
Administration_RuRoberta_aug1 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. --
All-time downloads
84
Public
Parameters
355M
2.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.4 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Aug 24, 2025
- Updated
- Aug 24, 2025
- SHA
- 2b3afbf3
Try a prompt
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_aug1
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: 2.9782
- Accuracy: 0.3559
- Top 2 Accuracy: 0.4949
- Top 3 Accuracy: 0.5995
- Roc Auc: 0.9207
- F1: 0.3141
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_FUSED 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Top 2 Accuracy | Top 3 Accuracy | Roc Auc | F1 |
|---|---|---|---|---|---|---|---|---|
| 4.1507 | 1.0 | 987 | 3.6147 | 0.2781 | 0.4082 | 0.4745 | 0.8956 | 0.2296 |
| 1.7773 | 2.0 | 1974 | 2.9782 | 0.3559 | 0.4949 | 0.5995 | 0.9207 | 0.3141 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Aug 24, 2025
- Updated
- Aug 24, 2025