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distilbert-finetuned-mrr
limhayi/distilbert-finetuned-mrr
distilbert-finetuned-mrr is a fill-mask model from limhayi. 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
- distilbert
- Access
- Public
- Created
- Apr 13, 2026
- Updated
- May 12, 2026
- SHA
- 300e9204
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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. -->
distilbert-finetuned-mrr
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5354
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: 16
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7969 | 1.0 | 151 | 2.7004 |
| 2.7110 | 2.0 | 302 | 2.5984 |
| 2.6611 | 3.0 | 453 | 2.5624 |
| 2.6357 | 4.0 | 604 | 2.5794 |
| 2.6175 | 5.0 | 755 | 2.5713 |
| 2.5854 | 6.0 | 906 | 2.5350 |
| 2.5872 | 7.0 | 1057 | 2.5060 |
| 2.5351 | 8.0 | 1208 | 2.5180 |
| 2.5459 | 9.0 | 1359 | 2.5456 |
| 2.5591 | 10.0 | 1510 | 2.5354 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 13, 2026
- Updated
- May 12, 2026