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ossbert-onc-unlab-from_multilingual-bs64-5epochs
AlexeySorokin/ossbert-onc-unlab-from_multilingual-bs64-5epochs
ossbert-onc-unlab-from_multilingual-bs64-5epochs is a fill-mask model from AlexeySorokin. Use it when you need the model to fill a missing word. 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. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Feb 5, 2026
- Updated
- Feb 5, 2026
- SHA
- 91f40f02
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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. -->
ossbert-onc-unlab-from_multilingual-bs64-5epochs
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6086
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: 64
- 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: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.707 | 0.1853 | 1000 | 1.2670 |
| 1.2452 | 0.3706 | 2000 | 1.0808 |
| 1.1053 | 0.5560 | 3000 | 0.9948 |
| 1.0305 | 0.7413 | 4000 | 0.9204 |
| 0.9726 | 0.9266 | 5000 | 0.8761 |
| 0.9261 | 1.1119 | 6000 | 0.8416 |
| 0.8968 | 1.2973 | 7000 | 0.8149 |
| 0.8626 | 1.4826 | 8000 | 0.7909 |
| 0.8422 | 1.6679 | 9000 | 0.7687 |
| 0.8218 | 1.8532 | 10000 | 0.7500 |
| 0.7986 | 2.0385 | 11000 | 0.7301 |
| 0.7784 | 2.2239 | 12000 | 0.7170 |
| 0.7678 | 2.4092 | 13000 | 0.7045 |
| 0.754 | 2.5945 | 14000 | 0.6946 |
| 0.7389 | 2.7798 | 15000 | 0.6797 |
| 0.7253 | 2.9652 | 16000 | 0.6723 |
| 0.718 | 3.1505 | 17000 | 0.6608 |
| 0.7082 | 3.3358 | 18000 | 0.6535 |
| 0.6995 | 3.5211 | 19000 | 0.6433 |
| 0.6901 | 3.7064 | 20000 | 0.6350 |
| 0.6847 | 3.8918 | 21000 | 0.6307 |
| 0.6765 | 4.0771 | 22000 | 0.6211 |
| 0.6676 | 4.2624 | 23000 | 0.6193 |
| 0.6621 | 4.4477 | 24000 | 0.6149 |
| 0.6595 | 4.6331 | 25000 | 0.6086 |
| 0.6564 | 4.8184 | 26000 | 0.6086 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.1+cu128
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 5, 2026
- Updated
- Feb 5, 2026