Downloads · 30 days
11
5% of all-time downloads
ossbert-morph-v2
ossetic-encoders/ossbert-morph-v2
ossbert-morph-v2 is a token classification model from ossetic-encoders. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
222
Public
Parameters
178M
711 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors711 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 17, 2026
- Updated
- Jun 27, 2026
- SHA
- 738df64c
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. -->
trainer_output
This model is a fine-tuned version of AlexeySorokin/ossbert-onc-unlab-from_multilingual-bs64-5epochs on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3225
- Accuracy: 96.0101
- Sentence accuracy: 60.3670
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: 5e-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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Sentence accuracy |
|---|---|---|---|---|---|
| 1.0324 | 1.0 | 546 | 0.3769 | 91.7684 | 42.9358 |
| 0.3326 | 2.0 | 1092 | 0.2562 | 94.0969 | 51.9266 |
| 0.2101 | 3.0 | 1638 | 0.2329 | 94.6004 | 54.1284 |
| 0.1504 | 4.0 | 2184 | 0.2218 | 95.0661 | 56.3303 |
| 0.1165 | 5.0 | 2730 | 0.2194 | 95.1794 | 57.0642 |
| 0.0851 | 6.0 | 3276 | 0.2356 | 95.0535 | 56.8807 |
| 0.0652 | 7.0 | 3822 | 0.2388 | 95.4311 | 58.7156 |
| 0.0489 | 8.0 | 4368 | 0.2352 | 95.5192 | 59.0826 |
| 0.0377 | 9.0 | 4914 | 0.2456 | 95.5947 | 59.0826 |
| 0.0281 | 10.0 | 5460 | 0.2531 | 95.7961 | 60.9174 |
| 0.0181 | 11.0 | 6006 | 0.2716 | 95.5192 | 59.2661 |
| 0.0151 | 12.0 | 6552 | 0.2742 | 95.5570 | 60.0 |
| 0.0109 | 13.0 | 7098 | 0.2793 | 95.8213 | 60.5505 |
| 0.008 | 14.0 | 7644 | 0.2858 | 95.8464 | 59.4495 |
| 0.0072 | 15.0 | 8190 | 0.3016 | 95.8087 | 58.7156 |
| 0.0055 | 16.0 | 8736 | 0.2972 | 95.8213 | 58.5321 |
| 0.0055 | 17.0 | 9282 | 0.3029 | 96.0227 | 60.9174 |
| 0.0037 | 18.0 | 9828 | 0.3117 | 95.8842 | 60.0 |
| 0.0043 | 19.0 | 10374 | 0.3085 | 95.8842 | 60.0 |
| 0.0027 | 20.0 | 10920 | 0.3232 | 95.9597 | 61.4679 |
| 0.0024 | 21.0 | 11466 | 0.3169 | 95.9723 | 60.7339 |
| 0.0017 | 22.0 | 12012 | 0.3251 | 95.9471 | 60.7339 |
| 0.0012 | 23.0 | 12558 | 0.3221 | 96.0352 | 60.9174 |
| 0.0015 | 24.0 | 13104 | 0.3222 | 95.9597 | 60.3670 |
| 0.0013 | 25.0 | 13650 | 0.3225 | 96.0101 | 60.3670 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- os
- Created
- May 17, 2026
- Updated
- Jun 27, 2026