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bert-base-german-cased-MLM-eu_chemistry_regulation
jonas-luehrs/bert-base-german-cased-MLM-eu_chemistry_regulation
bert-base-german-cased-MLM-eu_chemistry_regulation is a fill-mask model from jonas-luehrs. 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
- bert
- Access
- Public
- Created
- Aug 31, 2023
- Updated
- Aug 31, 2023
- SHA
- 2aefb8b5
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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-german-cased-MLM-eu_chemistry_regulation
This model is a fine-tuned version of bert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.3004
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.2914 | 1.0 | 50 | 6.9648 |
| 6.6413 | 2.0 | 100 | 6.1102 |
| 5.9499 | 3.0 | 150 | 5.6320 |
| 5.5994 | 4.0 | 200 | 5.2805 |
| 5.4397 | 5.0 | 250 | 5.3993 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Aug 31, 2023
- Updated
- Aug 31, 2023