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medberta_v2
austin/medberta_v2
medberta_v2 is a fill-mask model from austin. 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
- deberta
- Access
- Public
- Created
- May 20, 2022
- Updated
- Dec 4, 2022
- SHA
- 8708d2e2
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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. -->
medberta_v2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7111
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: 7e-05
- train_batch_size: 72
- eval_batch_size: 72
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9168 | 0.96 | 40000 | 0.8666 |
| 0.8392 | 1.91 | 80000 | 0.7871 |
| 0.7867 | 2.87 | 120000 | 0.7432 |
| 0.7418 | 3.83 | 160000 | 0.7111 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.10.0+cu113
- Datasets 1.16.1
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- deberta
- Created
- May 20, 2022
- Updated
- Dec 4, 2022