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nbme-deberta-v2-xlarge
smeoni/nbme-deberta-v2-xlarge
nbme-deberta-v2-xlarge 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. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Apr 24, 2022
- Updated
- Apr 24, 2022
- SHA
- f3e49437
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-v2-xlarge
This model is a fine-tuned version of microsoft/deberta-v2-xlarge on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.5986
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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 |
|---|---|---|---|
| 6.5771 | 1.0 | 1847 | 6.6380 |
| 6.4068 | 2.0 | 3694 | 6.6034 |
| 6.3597 | 3.0 | 5541 | 6.5986 |
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-v2
- License
- mit
- Created
- Apr 24, 2022
- Updated
- Apr 24, 2022