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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: deberta-pretrained-large |
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results: [] |
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--- |
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# Austin MeDeBERTa |
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This model was developed using further MLM pre-training on [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base), using a dataset of 1.1M clinical notes from the Austin Health EMR. The notes span discharge summaries, inpatient notes, radiology reports and histopathology reports. |
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## Model description |
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This is the base version of the original DeBERTa model. The architecture and tokenizer are unchanged. |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 9 |
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- eval_batch_size: 9 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 0.9756 | 0.51 | 40000 | 0.9127 | |
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| 0.8876 | 1.01 | 80000 | 0.8221 | |
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| 0.818 | 1.52 | 120000 | 0.7786 | |
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| 0.7836 | 2.03 | 160000 | 0.7438 | |
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| 0.7672 | 2.54 | 200000 | 0.7165 | |
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| 0.734 | 3.04 | 240000 | 0.6948 | |
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| 0.7079 | 3.55 | 280000 | 0.6749 | |
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| 0.6987 | 4.06 | 320000 | 0.6598 | |
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| 0.6771 | 4.57 | 360000 | 0.6471 | |
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### Framework versions |
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- Transformers 4.12.5 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 1.15.1 |
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- Tokenizers 0.10.3 |
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