Downloads · 30 days
37
4% of all-time downloads
nbme-deberta-large
smeoni/nbme-deberta-large
nbme-deberta-large is a fill-mask model from smeoni. 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. --
All-time downloads
894
Public
Repo size
6.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.6 GB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- deberta
- Access
- Public
- Created
- Apr 23, 2022
- Updated
- Apr 23, 2022
- SHA
- 418cca0a
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. -->
nbme-deberta-large
This model is a fine-tuned version of microsoft/deberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8806
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.358 | 1.0 | 1850 | 1.1622 |
| 1.0073 | 2.0 | 3700 | 0.9461 |
| 0.8837 | 3.0 | 5550 | 0.8806 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- deberta
- License
- mit
- Created
- Apr 23, 2022
- Updated
- Apr 23, 2022