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mmbert-multilingual-20250916-130537
MikeDoes/mmbert-multilingual-20250916-130537
mmbert-multilingual-20250916-130537 is a fill-mask model from MikeDoes. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- modernbert
- Access
- Public
- Created
- Sep 16, 2025
- Updated
- Sep 16, 2025
- SHA
- a1fe641f
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. -->
mmbert-multilingual-20250916-130537
This model is a fine-tuned version of jhu-clsp/mmBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.591 | 1.0 | 45 | 1.3054 |
| 0.0 | 2.0 | 90 | 0.0005 |
| 0.0 | 3.0 | 135 | 2.2279 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.1.0
- Tokenizers 0.22.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- modernbert
- License
- mit
- Created
- Sep 16, 2025
- Updated
- Sep 16, 2025