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README.md
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# bluebert_pubmed_mimic_uncased_squadv2
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This model is a fine-tuned version of [bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12](https://huggingface.co/bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12) on the squad_v2 dataset.
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This is the first model on huggingface that combines mimic with squadv2 for question answering.
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## Model description
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More information needed
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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```python
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@echo off
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--output_dir %OUTPUT_DIR%
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```
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### Training hyperparameters
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The following hyperparameters were used during training:
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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### Framework versions
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- Transformers 4.29.2
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# bluebert_pubmed_mimic_uncased_squadv2
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This model is a fine-tuned version of [bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12](https://huggingface.co/bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12) on the squad_v2 dataset.
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## Intended uses & limitations
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This is the first model on huggingface that combines MIMIC data (https://mimic.mit.edu/) with squadv2 (https://huggingface.co/datasets/squad_v2) for question answering purposes.
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## Training and evaluation data
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- Takes a pretrained model (https://huggingface.co/bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12) and fine-tunes and evaluates on squad_v2 data.
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## Training procedure
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Tuning script used (.bat file):
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```python
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@echo off
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--output_dir %OUTPUT_DIR%
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```
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You may need to adapt this script for non-Windows operating systems.
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### Training hyperparameters
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The following hyperparameters were used during training:
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Framework versions
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- Transformers 4.29.2
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