Open-weight model
Top-method-challenge2021-with-attention-for-versatile-result-Patient-level
by Jiang Huawei poult/Top-method-challenge2021-with-attention-for-versatile-result-Patient-level
Top-method-challenge2021-with-attention-for-versatile-result-Patient-level is an open-weight model from Jiang Huawei. Its published files total 85.3 MB.
Parameters—
Context—
Weights85.3 MB
License—
AccessOpen weights
Monthly Downloads—
Model Card
The publisher has not written a card for this model.
Identity and Version
- Repository
- poult/Top-method-challenge2021-with-attention-for-versatile-result-Patient-level
- Publisher
- Jiang Huawei
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- 5b15c1c6de9a79582b2760c2056b143273357bb9
- First published
- 2026-10-05
- Last updated
- 2026-10-05
Files and Weights
46 files, 85.3 MB in total.
Configuration10 files · 133.3 KB
Other35 files · 85.1 MB
Repository1 file · 1.5 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| checkpoint.py | Configuration | 6.3 KB | — |
| dataset.py | Configuration | 10.9 KB | — |
| evaluate_model.py | Configuration | 19.9 KB | — |
| evaluate_model_2021_chall.py | Configuration | 17.5 KB | — |
| helper_code.py | Configuration | 7.4 KB | — |
| main.py | Configuration | 34.4 KB | — |
| model.py | Configuration | 3.7 KB | — |
| obtain_challenge_score.py | Configuration | 4.5 KB | — |
| test.py | Configuration | 58 B | — |
| train_method2.py | Configuration | 28.7 KB | — |
| HELPER.ipynb | Other | 11.5 KB | — |
| __pycache__/dataset.cpython-310.pyc | Other | 7.1 KB | — |
| __pycache__/evaluate_model.cpython-310.pyc | Other | 11.6 KB | — |
| __pycache__/helper_code.cpython-310.pyc | Other | 6.4 KB | — |
| __pycache__/model.cpython-310.pyc | Other | 3.2 KB | — |
| csv-file/training_testing_patient-level/group1/testing_group1.csv | Other | 2.6 MB | — |
| csv-file/training_testing_patient-level/group1/training_group1.csv | Other | 10.4 MB | — |
| csv-file/training_testing_patient-level/group2/testing_group2.csv | Other | 2.6 MB | — |
| csv-file/training_testing_patient-level/group2/training_group2.csv | Other | 10.4 MB | — |
| csv-file/training_testing_patient-level/group3/testing_group3.csv | Other | 2.6 MB | — |
| csv-file/training_testing_patient-level/group3/training_group3.csv | Other | 10.5 MB | — |
| csv-file/training_testing_patient-level/group4/testing_group4.csv | Other | 2.6 MB | — |
| csv-file/training_testing_patient-level/group4/training_group4.csv | Other | 10.5 MB | — |
| csv-file/training_testing_patient-level/group5/testing_group5.csv | Other | 2.6 MB | — |
| csv-file/training_testing_patient-level/group5/training_group5.csv | Other | 10.5 MB | — |
| csv-generated-file-for-5-cross-validation.ipynb | Other | 42.8 KB | — |
| model_output_epoch100_randomSeed(0)/model_group1/train_log_group_1_max_AUPRC_0.5096_max_AUROC_0.9087_.txt | Other | 1.4 MB | — |
| model_output_epoch100_randomSeed(0)/model_group2/train_log_group_2_max_AUPRC_0.5210_max_AUROC_0.9079_.txt | Other | 1.4 MB | — |
| model_output_epoch100_randomSeed(0)/model_group3/train_log_group_3.txt | Other | 1.2 MB | — |
| model_output_epoch100_randomSeed(0)/model_group4/train_log_group_4_max_AUPRC_0.5207_max_AUROC_0.9126_.txt | Other | 1.4 MB | — |
| model_output_epoch100_randomSeed(0)/model_group5/train_log_group_5_max_AUPRC_0.5266_max_AUROC_0.9073_.txt | Other | 1.4 MB | — |
| model_output_epoch100_randomSeed(1)/model_group1/train_log_group_1_max_AUPRC_0.5095_max_AUROC_0.9048_.txt | Other | 1.4 MB | — |
| model_output_epoch100_randomSeed(1)/model_group2/train_log_group_2_max_AUPRC_0.5181_max_AUROC_0.8984_.txt | Other | 1.4 MB | — |
| model_output_epoch100_randomSeed(1)/model_group3/train_log_group_3.txt | Other | 1.2 MB | — |
| model_output_epoch100_randomSeed(1)/model_group4/train_log_group_4_max_AUPRC_0.5175_max_AUROC_0.9080_.txt | Other | 1.4 MB | — |
| model_output_epoch100_randomSeed(1)/model_group5/train_log_group_5_max_AUPRC_0.5149_max_AUROC_0.9005_.txt | Other | 1.4 MB | — |
| model_output_epoch100_randomSeed(2)/model_group1/train_log_group_1_max_AUPRC_0.5135_max_AUROC_0.9080_.txt | Other | 1.4 MB | — |
| model_output_epoch100_randomSeed(2)/model_group2/train_log_group_2_max_AUPRC_0.5198_max_AUROC_0.9013_.txt | Other | 1.4 MB | — |
| model_output_epoch100_randomSeed(2)/model_group3/train_log_group_3.txt | Other | 801.6 KB | — |
| model_output_epoch100_randomSeed(2)/model_group4/train_log_group_4_max_AUPRC_0.5175_max_AUROC_0.9130_.txt | Other | 1.4 MB | — |
| model_output_epoch100_randomSeed(2)/model_group5/train_log_group_5_max_AUPRC_0.5175_max_AUROC_0.9037_.txt | Other | 1.4 MB | — |
| name.csv | Other | 157 B | — |
| run_method2.sh | Other | 2.0 KB | — |
| strategy.ipynb | Other | 326.9 KB | — |
| weights.csv | Other | 4.1 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
Download from Jiang Huawei
Released by Jiang Huawei through its official repository on Hugging Face.