Added new dataset called cervical cancer and trained the model on this dataset as well
Browse files- cervical/config.yaml +72 -0
- cervical/model-final.pt +3 -0
- cervical/transformation.joblib +3 -0
cervical/config.yaml
ADDED
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data:
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path_table: ./data/cervical_train.csv
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numerical_columns:
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- Age
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- Number of sexual partners
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- First sexual intercourse
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- Num of pregnancies
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- Smokes
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- Smokes (years)
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- Smokes (packs/year)
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- Hormonal Contraceptives
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- Hormonal Contraceptives (years)
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- IUD
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- IUD (years)
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- STDs
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- STDs (number)
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- STDs:condylomatosis
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- STDs:cervical condylomatosis
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- STDs:vaginal condylomatosis
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- STDs:vulvo-perineal condylomatosis
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- STDs:syphilis
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- STDs:pelvic inflammatory disease
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- STDs:genital herpes
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- STDs:molluscum contagiosum
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- STDs:AIDS
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- STDs:HIV
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- STDs:Hepatitis B
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- STDs:HPV
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- STDs: Number of diagnosis
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- STDs: Time since first diagnosis
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- STDs: Time since last diagnosis
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- Dx:Cancer
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- Dx:CIN
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- Dx:HPV
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- Dx
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- Hinselmann
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- Schiller
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- Citology
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categorical_columns: []
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columns_to_drop:
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- STDs:cervical condylomatosis
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- STDs:AIDS
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dropna: true
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fillna: false
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target_column: Biopsy
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split_feature_target: true
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task: classification
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model:
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dim: 256
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n_res_blocks: 3
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diffusion:
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schedule: quad
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n_timesteps: 1000
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target: two_way
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trainer:
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train_num_steps: 500000
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log_every: 100
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save_every: 10000
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save_num_samples: 64
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max_grad_norm: null
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gradient_accumulate_every: 1
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ema_decay: 0.995
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ema_update_every: 10
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lr: 0.0001
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opt_type: adam
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opt_params: null
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batch_size: 256
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dataloader_workers: 16
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classifier_free_guidance: true
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zero_token_probability: 0.1
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fine_tune_from: null
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comment: cervical_CFG
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cervical/model-final.pt
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:377c8f5b691cf4d13317f2cb03c731b22a4573a1c81b65b42ec0dd91e5facc13
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size 50626114
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cervical/transformation.joblib
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:388787ead38af295199ee7ad3cb344497f4a60b1a5ae7e5db75dec3437f379a2
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size 4338
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