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bert-base-multilingual-uncased-finetuned-Wikipedia
rman-rahimi-29/bert-base-multilingual-uncased-finetuned-Wikipedia
bert-base-multilingual-uncased-finetuned-Wikipedia is a fill-mask model from rman-rahimi-29. 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
- Oct 23, 2023
- Updated
- Oct 24, 2023
- SHA
- b75c7235
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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. -->
bert-base-multilingual-uncased-finetuned-Wikipedia
This model is a fine-tuned version of bert-base-multilingual-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5849
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8871 | 1.0 | 4245 | 1.7547 |
| 1.7724 | 2.0 | 8490 | 1.6908 |
| 1.7043 | 3.0 | 12735 | 1.6484 |
| 1.6498 | 4.0 | 16980 | 1.6286 |
| 1.6111 | 5.0 | 21225 | 1.5932 |
| 1.5868 | 6.0 | 25470 | 1.5744 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 23, 2023
- Updated
- Oct 24, 2023