|
--- |
|
license: cc0-1.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- squad_v2 |
|
model-index: |
|
- name: bluebert_pubmed_mimic_uncased_squadv2 |
|
results: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# bluebert_pubmed_mimic_uncased_squadv2 |
|
|
|
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. |
|
|
|
## Intended uses & limitations |
|
|
|
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. |
|
|
|
## Training and evaluation data |
|
|
|
- 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. |
|
|
|
## Training procedure |
|
|
|
Tuning script used (.bat file): |
|
|
|
```python |
|
@echo off |
|
|
|
set BASE_MODEL=bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12 |
|
set OUTPUT_DIR=U:\Documents\Breast_Non_Synoptic\results\pretrained\bluebert_pubmed_mimic_uncased_squadv2\ |
|
|
|
python run_qa.py ^ |
|
--model_name_or_path %BASE_MODEL% ^ |
|
--dataset_name squad_v2 ^ |
|
--do_train ^ |
|
--do_eval ^ |
|
--version_2_with_negative ^ |
|
--per_device_train_batch_size 16 ^ |
|
--learning_rate 2e-5 ^ |
|
--num_train_epochs 3 ^ |
|
--max_seq_length 480 ^ |
|
--doc_stride 64 ^ |
|
--weight_decay 0.01 ^ |
|
--output_dir %OUTPUT_DIR% |
|
``` |
|
|
|
You may need to adapt this script for non-Windows operating systems. |
|
|
|
The run_qa.py example script can be found [here](https://github.com/huggingface/transformers/blob/main/examples/pytorch/question-answering/run_qa.py). |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 2e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3.0 |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.29.2 |
|
- Pytorch 2.0.1 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.2 |
|
|
