Downloads · 30 days
58
49% of all-time downloads
rubert-finetuned-ner
YaArtemNosenko/rubert-finetuned-ner
rubert-finetuned-ner is a token classification model from YaArtemNosenko. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
119
Public
Parameters
177M
4.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors709 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Oct 31, 2025
- Updated
- Oct 12, 2026
- SHA
- 88e3726f
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. -->
rubert-finetuned-ner
This model is a fine-tuned version of DeepPavlov/rubert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1573
- Precision: 0.8864
- Recall: 0.9065
- F1: 0.8963
- Accuracy: 0.9586
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 64
- 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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0386 | 0.5 | 625 | 0.2349 | 0.8272 | 0.8572 | 0.8420 | 0.9380 |
| 0.3166 | 1.0 | 1250 | 0.1756 | 0.8394 | 0.8824 | 0.8604 | 0.9484 |
| 0.1237 | 1.5 | 1875 | 0.1802 | 0.8761 | 0.9006 | 0.8882 | 0.9547 |
| 0.0744 | 2.0 | 2500 | 0.1573 | 0.8864 | 0.9065 | 0.8963 | 0.9586 |
Framework versions
- Transformers 5.18.0
- Pytorch 2.11.0+cu130
- Datasets 3.6.0
- Tokenizers 0.23.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- Oct 31, 2025
- Updated
- Oct 12, 2026