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bert-base-german-cased-MLM-chemistry
jonas-luehrs/bert-base-german-cased-MLM-chemistry
bert-base-german-cased-MLM-chemistry 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
- Sep 19, 2023
- Updated
- Sep 19, 2023
- SHA
- fb0a6512
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. -->
bert-base-german-cased-MLM-chemistry
This model is a fine-tuned version of bert-base-german-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1771
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|
| 2.1296 | 1.0 | 211 | 1.4955 |
| 1.5071 | 2.0 | 422 | 1.3285 |
| 1.373 | 3.0 | 633 | 1.2512 |
| 1.3002 | 4.0 | 844 | 1.1762 |
| 1.271 | 5.0 | 1055 | 1.2068 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Sep 19, 2023
- Updated
- Sep 19, 2023