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Clinical-Longformer-MLM-opnote
Santarabantoosoo/Clinical-Longformer-MLM-opnote
Clinical-Longformer-MLM-opnote is a fill-mask model from Santarabantoosoo. 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
- longformer
- Access
- Public
- Created
- May 29, 2022
- Updated
- May 30, 2022
- SHA
- 65cf2903
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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. -->
Clinical-Longformer-MLM-opnote
This model is a fine-tuned version of yikuan8/Clinical-Longformer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8286
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 |
|---|---|---|---|
| No log | 1.0 | 266 | 0.9606 |
| 1.1655 | 2.0 | 532 | 0.8677 |
| 1.1655 | 3.0 | 798 | 0.8195 |
Framework versions
- Transformers 4.19.1
- Pytorch 1.10.1
- Datasets 2.2.1
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- longformer
- Created
- May 29, 2022
- Updated
- May 30, 2022