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dlub-2022-mlm-full
Muug/dlub-2022-mlm-full
dlub-2022-mlm-full is a fill-mask model from Muug. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Sep 22, 2022
- Updated
- Sep 22, 2022
- SHA
- da7025bb
Try a prompt
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. -->
dlub-2022-mlm-full
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.4308
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.7809 | 1.0 | 21 | 9.4572 |
| 9.4021 | 2.0 | 42 | 9.2312 |
| 9.1448 | 3.0 | 63 | 9.0206 |
| 8.9608 | 4.0 | 84 | 8.8606 |
| 8.8125 | 5.0 | 105 | 8.6954 |
| 8.6717 | 6.0 | 126 | 8.5819 |
| 8.5944 | 7.0 | 147 | 8.5012 |
| 8.5245 | 8.0 | 168 | 8.4900 |
| 8.4856 | 9.0 | 189 | 8.4448 |
| 8.4563 | 10.0 | 210 | 8.4308 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Sep 22, 2022
- Updated
- Sep 22, 2022