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bert_eli5_mlm_model
Kanstantsin/bert_eli5_mlm_model
bert_eli5_mlm_model is a fill-mask model from Kanstantsin. 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
- Mar 16, 2025
- Updated
- Mar 16, 2025
- SHA
- cd97e1cc
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Base models
Datasets
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. -->
bert_eli5_mlm_model
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 1.7183
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 OptimizerNames.ADAMW_TORCH 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 |
|---|---|---|---|
| 1.928 | 1.0 | 6250 | 1.8705 |
| 1.8327 | 2.0 | 12500 | 1.8090 |
| 1.7824 | 3.0 | 18750 | 1.7564 |
| 1.7428 | 4.0 | 25000 | 1.7247 |
| 1.6979 | 5.0 | 31250 | 1.7204 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.4.0
- Tokenizers 0.21.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 16, 2025
- Updated
- Mar 16, 2025