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bert-base-uncased-scratch-powo_mgh_pt
ViktorDo/bert-base-uncased-scratch-powo_mgh_pt
bert-base-uncased-scratch-powo_mgh_pt is a fill-mask model from ViktorDo. 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
- May 19, 2022
- Updated
- May 19, 2022
- SHA
- 9f487687
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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-uncased-scratch-powo_mgh_pt
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.5901
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: 5e-05
- train_batch_size: 5
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 40
- 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 |
|---|---|---|---|
| 6.3881 | 3.57 | 200 | 5.2653 |
| 4.7294 | 7.14 | 400 | 4.6365 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- May 19, 2022
- Updated
- May 19, 2022