diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/_arf_generate.py b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/_arf_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..6ede30bf008eb9e0f05aa6309cdc69dc89bd1e98 --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/_arf_generate.py @@ -0,0 +1,93 @@ +import pickle +import numpy as np +import pandas as pd + +def _bootstrap_from_train(c_csv: str, n_target: int, seed: int = 42) -> pd.DataFrame: + """当 arfpy.forge 完全不可用时，从训练 CSV 有放回抽样，保证行数与列对齐。""" + src = pd.read_csv(c_csv, encoding="utf-8-sig", low_memory=False) + src = src.replace([np.inf, -np.inf], np.nan).dropna(axis=1, how="all") + src = src.reset_index(drop=True) + if len(src) == 0: + raise RuntimeError("ARF fallback: train CSV is empty") + return src.sample(n=n_target, replace=True, random_state=seed).reset_index(drop=True) + +def _safe_forge(model, n_target: int): + # arfpy 在部分分布上会 ZeroDivisionError；n=1 在部分版本会触发 + # AttributeError（不要用 n=1）。失败返回 None，由外层走 bootstrap。 + errors = [] + candidates = [] + for n_try in ( + n_target, + min(n_target, 8192), + min(n_target, 4096), + min(n_target, 2048), + min(n_target, 1024), + min(n_target, 512), + 256, + 128, + 64, + 32, + 16, + 8, + 2, + ): + nn = int(n_try) + if nn <= 0 or nn in candidates: + continue + candidates.append(nn) + for n_try in candidates: + try: + out = model.forge(n=n_try).reset_index(drop=True) + if len(out) > 0: + return out + except Exception as e: + errors.append(f"n={n_try}: {type(e).__name__}: {e}") + print("[ARF] forge failed after retries; last errors:", " | ".join(errors[-4:])) + return None + +n_target = int(2217) +c_csv = "/work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/train.csv" +with open("/work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf_model.pkl", "rb") as f: + model = pickle.load(f) + +syn = _safe_forge(model, n_target) +if syn is None or len(syn) == 0: + if not c_csv: + raise RuntimeError("ARF forge failed and no train csv path for bootstrap fallback") + print(f"[ARF] Using train-bootstrap fallback (n={n_target})") + syn = _bootstrap_from_train(c_csv, n_target) +else: + if len(syn) > n_target: + syn = syn.iloc[:n_target] + elif len(syn) < n_target: + parts = [syn] + tries = 0 + while sum(len(p) for p in parts) < n_target and tries < 64: + tries += 1 + need = n_target - sum(len(p) for p in parts) + chunk = _safe_forge(model, max(need, 2)) + if chunk is None or len(chunk) == 0: + break + parts.append(chunk) + syn = pd.concat(parts, ignore_index=True).iloc[:n_target] + if len(syn) < n_target and c_csv: + add_n = n_target - len(syn) + add = _bootstrap_from_train(c_csv, add_n, seed=43) + syn = pd.concat([syn, add], ignore_index=True).iloc[:n_target] + +_ds_id = 'm4' +if _ds_id == "c19": + # 仅 c19：object 列内裸换行会使 pivot 用 csv.reader 统计到的「记录数」大于 DataFrame 行数 → Sw。 + for _col in syn.columns: + if syn[_col].dtype == object: + syn[_col] = ( + syn[_col] + .astype(str) + .str.replace("\r\n", " ", regex=False) + .str.replace("\n", " ", regex=False) + .str.replace("\r", " ", regex=False) + ) + syn = syn.iloc[:n_target].reset_index(drop=True) + +syn.to_csv("/work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf-m4-2217-20260501_224949.csv", index=False) +print(f"[ARF] Generated {len(syn)} rows (requested {n_target}) -> /work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf-m4-2217-20260501_224949.csv") diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/_arf_train.py b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/_arf_train.py new file mode 100644 index 0000000000000000000000000000000000000000..663e9e0a52e5edb72ecb5fec34e517b043418b01 --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/_arf_train.py @@ -0,0 +1,37 @@ +import pickle +import numpy as np +import pandas as pd +from arfpy import arf + +def _sanitize_for_arf(df: pd.DataFrame) -> pd.DataFrame: + """缓解 forge 阶段 scipy.stats.truncnorm / 除零：处理 inf、NaN 与极端尾部。""" + df = df.replace([np.inf, -np.inf], np.nan) + df = df.dropna(axis=1, how="all") + for col in df.select_dtypes(include=[np.number]).columns: + med = df[col].median() + if pd.isna(med): + med = 0.0 + df[col] = df[col].fillna(med) + nu = int(df[col].nunique(dropna=True)) + if nu <= 1: + continue + lo, hi = df[col].quantile(0.001), df[col].quantile(0.999) + if pd.notna(lo) and pd.notna(hi) and lo < hi: + df[col] = df[col].clip(lo, hi) + return df + +df = pd.read_csv("/work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/train.csv") +df = _sanitize_for_arf(df) +print(f"[ARF] Training on {len(df)} rows, {len(df.columns)} cols") + +model = arf.arf(x=df) +if hasattr(model, "fit"): + model.fit() +elif hasattr(model, "forde"): + model.forde() +else: + raise RuntimeError("arfpy API: no fit() / forde()") + +with open("/work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf_model.pkl", "wb") as f: + pickle.dump(model, f) +print(f"[ARF] Model saved -> /work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf_model.pkl") diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/arf-m4-2217-20260501_224949.csv b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/arf-m4-2217-20260501_224949.csv new file mode 100644 index 0000000000000000000000000000000000000000..2d8ae2c97966c31f15fa067f708a6d303e098b5e --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/arf-m4-2217-20260501_224949.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d7020d7227c97a8e05595b969c7357dfa24a4313baf6ddd2bf49c12c0d11d1fe +size 191309 diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/arf_model.pkl b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/arf_model.pkl new file mode 100644 index 0000000000000000000000000000000000000000..1f1cca8fec1e8037f26845f1db4242ff7b1b2970 --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/arf_model.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c9353291c6ae2f9063d32dab25c4a37822a2cb4584e8fde22d25106dfefb4c58 +size 6642917 diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/gen_20260501_224949.log b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/gen_20260501_224949.log new file mode 100644 index 0000000000000000000000000000000000000000..a81b489c03b85ff8f6e4f2fd948aa32c3ec6ccd5 --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/gen_20260501_224949.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:44c41e6a3ba8d67077e0913d7b44519caeccb4acb4a458de987ed5b72a87369c +size 1667 diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/input_snapshot.json b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..a3fec1973e249527909ae104dcdbe1f735528632 --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "m4", + "model": "arf", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "exists": true, + "size": 92191, + "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "exists": true, + "size": 11482, + "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv", + "exists": true, + "size": 11559, + "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json", + "exists": true, + "size": 3336, + "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json", + "exists": true, + "size": 3810, + "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..31ed9818686b11907df75e872e4ffbe010330880 --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,147 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "columns": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/public_gate/public_gate_report.json b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..e7a25408e2574124629ea9437356551e4d6f4790 --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "m4", + "status": "pass", + "checks": [ + { + "check_id": "PG001_csv_parse_ok", + "status": "pass" + }, + { + "check_id": "PG002_split_header_consistent", + "status": "pass" + }, + { + "check_id": "PG003_profile_header_match", + "status": "pass" + }, + { + "check_id": "PG004_missing_token_normalized", + "status": "pass" + }, + { + "check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "charges", + "task_type": "regression", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/public_gate/staged_input_manifest.json b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f44ed20a9019fb76a450a75cb92f72703c9d0771 --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/public_gate/staged_input_manifest.json @@ -0,0 +1,152 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/runtime_result.json b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..4683a1e0809db5d9ebcbeb68115952978533bf57 --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/runtime_result.json @@ -0,0 +1,27 @@ +{ + "dataset_id": "m4", + "model": "arf", + "run_id": "arf-m4-20260501_224942", + "public_gate_status": "pass", + "adapter_ready_status": "pass", + "train_status": "success", + "generate_status": "success", + "reason_code": null, + "reason_detail": null, + "artifacts": { + "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf-m4-2217-20260501_224949.csv", + "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf_model.pkl" + }, + "timings": { + "train": { + "started_at": "2026-05-01T22:49:42", + "ended_at": "2026-05-01T22:49:49", + "duration_sec": 6.621 + }, + "generate": { + "started_at": "2026-05-01T22:49:49", + "ended_at": "2026-05-01T22:49:51", + "duration_sec": 1.859 + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/arf/adapter_report.json b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/arf/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..d56e0d041884390855d92b6198c211bcd3361ce9 --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/arf/adapter_report.json @@ -0,0 +1,7 @@ +{ + "adapter_ready_status": "pass", + "adapter_fail_reason_code": null, + "adapter_fail_detail": null, + "adapter_transforms_applied": [], + "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/arf/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/arf/adapter_transforms_applied.json b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/arf/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/arf/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/arf/model_input_manifest.json b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/arf/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..141a0f8819f6f559448a0376b63cb323caac290c --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/arf/model_input_manifest.json @@ -0,0 +1,154 @@ +{ + "dataset_id": "m4", + "model": "arf", + "target_column": "charges", + "task_type": "regression", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/public/staged_features.json b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/public/staged_features.json @@ -0,0 +1,37 @@ +[ + { + "feature_name": "age", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "sex", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "bmi", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "children", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "smoker", + "data_type": "binary", + "is_target": false + }, + { + "feature_name": "region", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "charges", + "data_type": "continuous", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/public/test.csv b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8 --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4c541b677fb2d45c5bc79338eeee9fd8c91484b195a0c2c546c2fbabf113b7ea +size 11298 diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/public/train.csv b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5 --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:614ebfac5f41d6f661aff675fa18c0f933a8d9bcc77ea71b7b2360c2f0155837 +size 90069 diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/public/val.csv b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708 --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7 +size 11218 diff --git a/syntheticSuccess/m4/arf/arf-m4-20260501_224942/train_20260501_224942.log b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/train_20260501_224942.log new file mode 100644 index 0000000000000000000000000000000000000000..dff1204ec9e4cacef03b27edc89a49297aa102cf --- /dev/null +++ b/syntheticSuccess/m4/arf/arf-m4-20260501_224942/train_20260501_224942.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5f8307dfa571ae3a8b84004182dccf39d1539db0bac436880907dcc5af5d746f +size 495 diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/_bayesnet_generate.py b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/_bayesnet_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..bd55afcca3270a8189bb3d88017c201330279e32 --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/_bayesnet_generate.py @@ -0,0 +1,105 @@ + +import pickle +import subprocess +import sys +import warnings + +import numpy as np +import pandas as pd +from pgmpy.sampling import BayesianModelSampling + +warnings.filterwarnings("ignore", category=FutureWarning) + +def _ensure_cloudpickle(): + try: + import cloudpickle # noqa: F401 + except ModuleNotFoundError: + subprocess.check_call( + [sys.executable, "-m", "pip", "install", "--quiet", "cloudpickle"], + ) + +_ensure_cloudpickle() + +with open("/work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl", "rb") as f: + bundle = pickle.load(f) + +network = bundle["network"] +inverse = bundle["inverse"] +cols = bundle["column_order"] +integer_columns = set(bundle.get("integer_columns") or []) +full_order = bundle.get("full_column_order") or cols +const_cols = bundle.get("const_cols") or {} + +num_rows = int(2217) +sampler = BayesianModelSampling(network) +raw = sampler.forward_sample(size=num_rows, show_progress=False) +raw = raw.reset_index(drop=True) +if len(raw) > num_rows: + raw = raw.iloc[:num_rows] +_tries = 0 +while len(raw) < num_rows and _tries < 64: + _tries += 1 + nextra = min(10000, num_rows - len(raw)) + more = sampler.forward_sample(size=max(nextra, 1), show_progress=False) + more = more.reset_index(drop=True) + if len(more) == 0: + break + raw = pd.concat([raw, more], ignore_index=True) + if len(raw) > num_rows: + raw = raw.iloc[:num_rows] + +out = pd.DataFrame(index=raw.index) +rng = np.random.default_rng() + +for c in cols: + if c in inverse["categorical"]: + levels = inverse["categorical"][c] + idx = raw[c].astype(int).to_numpy() + idx = np.clip(idx, 0, max(0, len(levels) - 1)) + out[c] = [levels[i] for i in idx] + else: + edges = np.asarray(inverse["continuous"][c], dtype=float) + if edges.size < 2: + out[c] = 0.0 + else: + nbin = edges.size - 1 + res = [] + for k in raw[c].astype(int).to_numpy(): + k = int(k) + if k < 0: + k = 0 + if k >= nbin: + k = nbin - 1 + lo, hi = float(edges[k]), float(edges[k + 1]) + if hi < lo: + lo, hi = hi, lo + v = rng.uniform(lo, hi) + if c in integer_columns: + v = int(round(v)) + res.append(v) + out[c] = res + +final = pd.DataFrame(index=out.index) +for c in full_order: + if c in const_cols: + final[c] = const_cols[c] + elif c in out.columns: + final[c] = out[c] + +dtypes = bundle.get("original_dtypes") or {} +for c, dts in dtypes.items(): + if c not in final.columns: + continue + try: + if "int" in dts: + final[c] = pd.to_numeric(final[c], errors="coerce").astype("Int64") + elif "float" in dts: + final[c] = pd.to_numeric(final[c], errors="coerce") + except Exception: + pass + +if len(final) != num_rows: + final = final.iloc[:num_rows].copy() +final = final.reset_index(drop=True) +final.to_csv("/work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet-m4-2217-20260501_225008.csv", index=False) +print(f"[BayesNet] Generated {len(final)} rows (requested {num_rows}) -> /work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet-m4-2217-20260501_225008.csv") diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/_bayesnet_train.py b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/_bayesnet_train.py new file mode 100644 index 0000000000000000000000000000000000000000..da81eca4a76d1f309d1238362e22e77a75036965 --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/_bayesnet_train.py @@ -0,0 +1,133 @@ + +import json +import pickle +import subprocess +import sys +import warnings + +import numpy as np +import pandas as pd +from pgmpy.estimators import TreeSearch +from pgmpy.models import DiscreteBayesianNetwork +warnings.filterwarnings("ignore", category=FutureWarning) + +def _ensure_cloudpickle(): + try: + import cloudpickle # noqa: F401 + except ModuleNotFoundError: + subprocess.check_call( + [sys.executable, "-m", "pip", "install", "--quiet", "cloudpickle"], + ) + +_ensure_cloudpickle() + +with open("/work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_coltypes.json", "r", encoding="utf-8") as _f: + colmeta = json.load(_f) +integer_columns = set(colmeta.get("integer_columns") or []) + +df = pd.read_csv("/work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/train.csv") +df = df.dropna(axis=1, how="all") +full_column_order = list(df.columns) + +const_cols = {} +for col in list(df.columns): + if df[col].nunique(dropna=True) <= 1: + const_cols[col] = df[col].iloc[0] if len(df) > 0 else None + df = df.drop(columns=[col]) + print(f"[BayesNet] Dropped zero-variance column '{col}'") + +const_path = "/work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl".replace("bayesnet_model.pkl", "const_cols.json") +with open(const_path, "w", encoding="utf-8") as _f: + json.dump({k: str(v) for k, v in const_cols.items()}, _f) + +inverse = {"categorical": {}, "continuous": {}} +enc = pd.DataFrame(index=df.index) +_n_samples = len(df) +_n_plan = sum( + 1 for e in colmeta["columns"] if str(e.get("name", "")) in df.columns +) +max_bins = 10 +max_cat_levels = 256 +if _n_plan > 35 or _n_samples > 200000: + max_bins = 5 + max_cat_levels = 64 +if _n_plan > 55: + max_bins = 4 + max_cat_levels = 32 +print( + f"[BayesNet] max_bins={max_bins}, max_cat_levels={max_cat_levels} " + f"(cols_in_df={_n_plan}, rows={_n_samples})" +) + +for entry in colmeta["columns"]: + name = entry["name"] + if name not in df.columns: + continue + kind = entry["type"] + s = df[name] + if kind == "categorical": + s2 = s.astype(str).fillna("__NA__") + counts = s2.value_counts(dropna=False) + if len(counts) > max_cat_levels: + keep = set(counts.index[: max_cat_levels - 1].tolist()) + s2 = s2.map(lambda x: x if x in keep else "__OTHER__") + uniques = sorted(s2.dropna().unique(), key=lambda x: str(x)) + mapping = {str(v): i for i, v in enumerate(uniques)} + inverse["categorical"][name] = [uniques[i] for i in range(len(uniques))] + enc[name] = s2.map(lambda x, m=mapping: m.get(str(x), 0)).astype(int) + else: + s_num = pd.to_numeric(s, errors="coerce") + nu = int(s_num.nunique(dropna=True)) + q = min(max_bins, max(2, nu)) + if nu < 2: + enc[name] = np.zeros(len(s_num), dtype=int) + lo, hi = float(s_num.min()), float(s_num.max()) + inverse["continuous"][name] = [lo, hi] + else: + try: + _, bins = pd.qcut( + s_num, q=q, retbins=True, duplicates="drop" + ) + except Exception: + med = float(s_num.median()) + s2 = s_num.fillna(med) + _, bins = pd.qcut( + s2, q=min(q, 3), retbins=True, duplicates="drop" + ) + bins = np.asarray(bins, dtype=float) + lab = pd.cut( + s_num, bins=bins, labels=False, include_lowest=True + ) + enc[name] = lab.fillna(0).astype(int) + inverse["continuous"][name] = bins.tolist() + +print(f"[BayesNet] Training on {len(enc)} rows, {len(enc.columns)} cols (encoded)") + +enc_struct = enc +if len(enc) > 25000: + enc_struct = enc.sample(n=25000, random_state=0, replace=False) + print(f"[BayesNet] TreeSearch on {len(enc_struct)} rows (subsample; full n={len(enc)})") +dag = TreeSearch(enc_struct).estimate(show_progress=False) +for col in enc.columns: + if col not in dag.nodes(): + dag.add_node(col) + print(f"[BayesNet] Added isolated node to DAG: {col}") +network = DiscreteBayesianNetwork(dag) +enc_fit = enc +if len(enc) > 120000: + enc_fit = enc.sample(n=120000, random_state=1, replace=False) + print(f"[BayesNet] fit() on {len(enc_fit)} rows (full n={len(enc)})") +network.fit(enc_fit) + +bundle = { + "network": network, + "inverse": inverse, + "column_order": list(enc.columns), + "full_column_order": full_column_order, + "integer_columns": list(integer_columns), + "original_dtypes": {c: str(df[c].dtype) for c in enc.columns}, + "const_cols": const_cols, +} +with open("/work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl", "wb") as _f: + pickle.dump(bundle, _f) +print(f"[BayesNet] Model saved -> /work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl") diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet-m4-2217-20260501_225008.csv b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet-m4-2217-20260501_225008.csv new file mode 100644 index 0000000000000000000000000000000000000000..a205f33b33e9634efeb5bbe41ff9ba95999cdfe0 --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet-m4-2217-20260501_225008.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4dc959faeb4ed98c85dfa08b08771d30677013b1d259393fd37593c71b2a2330 +size 207284 diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_coltypes.json b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_coltypes.json new file mode 100644 index 0000000000000000000000000000000000000000..295bb70445b63eea5719ae7c1f72bcdf61849c8d --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_coltypes.json @@ -0,0 +1,33 @@ +{ + "columns": [ + { + "name": "age", + "type": "continuous" + }, + { + "name": "sex", + "type": "categorical" + }, + { + "name": "bmi", + "type": "continuous" + }, + { + "name": "children", + "type": "continuous" + }, + { + "name": "smoker", + "type": "categorical" + }, + { + "name": "region", + "type": "categorical" + }, + { + "name": "charges", + "type": "continuous" + } + ], + "integer_columns": [] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl new file mode 100644 index 0000000000000000000000000000000000000000..5cec3423f81fcddaac8143cd28b8892056252bfc --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b0159fa6db32a24c098240969438a6189b99a41564cffd3766b12aee069f9135 +size 7202 diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/const_cols.json b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/const_cols.json new file mode 100644 index 0000000000000000000000000000000000000000..9e26dfeeb6e641a33dae4961196235bdb965b21b --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/const_cols.json @@ -0,0 +1 @@ +{} \ No newline at end of file diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/gen_20260501_225008.log b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/gen_20260501_225008.log new file mode 100644 index 0000000000000000000000000000000000000000..ce0ec254ec00a88f70e5a99f2cacb77a8ba2c59a --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/gen_20260501_225008.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d51af08b778e3d79298c3765603ef72648c0659f1a0516ba3d3b39fe5a66c51a +size 3661 diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/input_snapshot.json b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..80a11fda595a83a7857ca988e84c480002e80ddc --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "m4", + "model": "bayesnet", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "exists": true, + "size": 92191, + "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "exists": true, + "size": 11482, + "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv", + "exists": true, + "size": 11559, + "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json", + "exists": true, + "size": 3336, + "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json", + "exists": true, + "size": 3810, + "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..31ed9818686b11907df75e872e4ffbe010330880 --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,147 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "columns": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/public_gate_report.json b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..e7a25408e2574124629ea9437356551e4d6f4790 --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "m4", + "status": "pass", + "checks": [ + { + "check_id": "PG001_csv_parse_ok", + "status": "pass" + }, + { + "check_id": "PG002_split_header_consistent", + "status": "pass" + }, + { + "check_id": "PG003_profile_header_match", + "status": "pass" + }, + { + "check_id": "PG004_missing_token_normalized", + "status": "pass" + }, + { + "check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "charges", + "task_type": "regression", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/staged_input_manifest.json b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b76841ca1ebb0185e476c2ed8c9b82d633091cad --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/staged_input_manifest.json @@ -0,0 +1,152 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/runtime_result.json b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..ac44c1ab24318dcbf29281e36b2dfa3b5cac2d65 --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/runtime_result.json @@ -0,0 +1,27 @@ +{ + "dataset_id": "m4", + "model": "bayesnet", + "run_id": "bayesnet-m4-20260501_224959", + "public_gate_status": "pass", + "adapter_ready_status": "pass", + "train_status": "success", + "generate_status": "success", + "reason_code": null, + "reason_detail": null, + "artifacts": { + "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet-m4-2217-20260501_225008.csv", + "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl" + }, + "timings": { + "train": { + "started_at": "2026-05-01T22:49:59", + "ended_at": "2026-05-01T22:50:08", + "duration_sec": 8.203 + }, + "generate": { + "started_at": "2026-05-01T22:50:08", + "ended_at": "2026-05-01T22:50:13", + "duration_sec": 5.386 + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/adapter_report.json b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..2c2d535c274055b550ca68ab2aeb34f24ef09bc2 --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/adapter_report.json @@ -0,0 +1,7 @@ +{ + "adapter_ready_status": "pass", + "adapter_fail_reason_code": null, + "adapter_fail_detail": null, + "adapter_transforms_applied": [], + "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/adapter_transforms_applied.json b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/model_input_manifest.json b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7cc6312e585fd5688202840b93e3a99c875fa2d5 --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/model_input_manifest.json @@ -0,0 +1,154 @@ +{ + "dataset_id": "m4", + "model": "bayesnet", + "target_column": "charges", + "task_type": "regression", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/staged_features.json b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/staged_features.json @@ -0,0 +1,37 @@ +[ + { + "feature_name": "age", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "sex", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "bmi", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "children", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "smoker", + "data_type": "binary", + "is_target": false + }, + { + "feature_name": "region", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "charges", + "data_type": "continuous", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/test.csv b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8 --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4c541b677fb2d45c5bc79338eeee9fd8c91484b195a0c2c546c2fbabf113b7ea +size 11298 diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/train.csv b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5 --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:614ebfac5f41d6f661aff675fa18c0f933a8d9bcc77ea71b7b2360c2f0155837 +size 90069 diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/val.csv b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708 --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7 +size 11218 diff --git a/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/train_20260501_224959.log b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/train_20260501_224959.log new file mode 100644 index 0000000000000000000000000000000000000000..c5a7791086f44bb7fd3faf021a00160501504c95 --- /dev/null +++ b/syntheticSuccess/m4/bayesnet/bayesnet-m4-20260501_224959/train_20260501_224959.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9028b3cbf752de48d3e72989c4933fffd2ddbd9d8d9f1aac6de1d571e14847d3 +size 3738 diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/_fd_X_host.npy b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/_fd_X_host.npy new file mode 100644 index 0000000000000000000000000000000000000000..adf7790ed3b5f3fbf003c878147469425b445ed1 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/_fd_X_host.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2075e38ffa201390419d8ba927a30948410d3bae79c47b2d376e0991c42ba455 +size 62204 diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/_fd_gen.py b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/_fd_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..99c06c9f2e40f637316b397ae4efb41f75d47b73 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/_fd_gen.py @@ -0,0 +1,8 @@ + +import joblib, pandas as pd +m, meta = joblib.load(r'/work/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/forestdiffusion_model.joblib') +# generate：batch_size 为样本数 +arr = m.generate(batch_size=int(2217)) +df = pd.DataFrame(arr, columns=meta["column_names"]) +df.to_csv(r'/work/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/forest-m4-2217-20260501_180613.csv', index=False) +print("saved", len(df)) diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/_fd_meta_host.json b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/_fd_meta_host.json new file mode 100644 index 0000000000000000000000000000000000000000..ee3e9bf77c9008274d3ca5b068e49b142b0bb624 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/_fd_meta_host.json @@ -0,0 +1 @@ +{"column_names": ["age", "sex", "bmi", "children", "smoker", "region", "charges"], "cat_indexes": [1, 4, 5]} \ No newline at end of file diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/_fd_train.py b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/_fd_train.py new file mode 100644 index 0000000000000000000000000000000000000000..be7c41b9f5840133c854a4fd69dae07d746b6a9d --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/_fd_train.py @@ -0,0 +1,28 @@ + +import shutil, json +shutil.copy(r'/work/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/_fd_X_host.npy', '/tmp/fd_X.npy') +with open(r'/work/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/_fd_meta_host.json') as f: + open('/tmp/fd_meta.json','w').write(f.read()) + +import numpy as np, joblib, json, os +from ForestDiffusion import ForestDiffusionModel +X = np.load("/tmp/fd_X.npy") +with open("/tmp/fd_meta.json") as f: + meta = json.load(f) +cat_indexes = meta["cat_indexes"] +print( + "[ForestDiffusion] train config: " + f"rows={X.shape[0]} cols={X.shape[1]} n_t=20 " + f"n_estimators=100 duplicate_K=20 n_jobs=2 " + f"xgb_verbosity=1", + flush=True, +) +m = ForestDiffusionModel( + X, n_t=20, n_estimators=100, duplicate_K=20, n_jobs=2, + model="xgboost", max_depth=6, tree_method="hist", cat_indexes=cat_indexes, + verbosity=1, +) +joblib.dump((m, meta), "/tmp/fd_model.joblib") +print("ForestDiffusion train OK") + +shutil.copy('/tmp/fd_model.joblib', r'/work/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/forestdiffusion_model.joblib') diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/forest-m4-2217-20260501_180613.csv b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/forest-m4-2217-20260501_180613.csv new file mode 100644 index 0000000000000000000000000000000000000000..d30aed8d50de2c4dbbe266ebe0078a3838f8bc0b --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/forest-m4-2217-20260501_180613.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6e764181c7250d24f9cfc643be0c2f147bfa49b503a7447ef06154f46469965d +size 184302 diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/forestdiffusion_model.joblib b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/forestdiffusion_model.joblib new file mode 100644 index 0000000000000000000000000000000000000000..cf5dbfcc3f0cbd8622d6359a378cf96f45d9b3fb --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/forestdiffusion_model.joblib @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e5441860108c9d0dc83f869bb3de0909d36382ceada4791c9e919556f81e9e5d +size 83389261 diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/gen_20260501_180613.log b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/gen_20260501_180613.log new file mode 100644 index 0000000000000000000000000000000000000000..c35ca2f556f604f7dc47fbd89beedf075e8f5e64 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/gen_20260501_180613.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1165091351583dd9b06ceed67097a7d6651aae2370bc221259adf13f6bcfede0 +size 294 diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/input_snapshot.json b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..5daa6d8c1d862349e305d0a5fcbd26d5361342b8 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "m4", + "model": "forestdiffusion", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "exists": true, + "size": 92191, + "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "exists": true, + "size": 11482, + "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv", + "exists": true, + "size": 11559, + "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json", + "exists": true, + "size": 3336, + "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json", + "exists": true, + "size": 3810, + "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/models_fd/model.joblib b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/models_fd/model.joblib new file mode 100644 index 0000000000000000000000000000000000000000..cf5dbfcc3f0cbd8622d6359a378cf96f45d9b3fb --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/models_fd/model.joblib @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e5441860108c9d0dc83f869bb3de0909d36382ceada4791c9e919556f81e9e5d +size 83389261 diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..31ed9818686b11907df75e872e4ffbe010330880 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,147 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "columns": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/public_gate_report.json b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..e7a25408e2574124629ea9437356551e4d6f4790 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "m4", + "status": "pass", + "checks": [ + { + "check_id": "PG001_csv_parse_ok", + "status": "pass" + }, + { + "check_id": "PG002_split_header_consistent", + "status": "pass" + }, + { + "check_id": "PG003_profile_header_match", + "status": "pass" + }, + { + "check_id": "PG004_missing_token_normalized", + "status": "pass" + }, + { + "check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "charges", + "task_type": "regression", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/staged_input_manifest.json b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..59c81493a710d9c0f09f2eda972818ddedcb844c --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/staged_input_manifest.json @@ -0,0 +1,152 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/runtime_result.json b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..72c689add5376a1424244cc8baadbe05f67a23a5 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/runtime_result.json @@ -0,0 +1,27 @@ +{ + "dataset_id": "m4", + "model": "forestdiffusion", + "run_id": "forest-m4-20260501_180515", + "public_gate_status": "pass", + "adapter_ready_status": "pass", + "train_status": "success", + "generate_status": "success", + "reason_code": null, + "reason_detail": null, + "artifacts": { + "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/forest-m4-2217-20260501_180613.csv", + "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/models_fd/model.joblib" + }, + "timings": { + "train": { + "started_at": "2026-05-01T18:05:15", + "ended_at": "2026-05-01T18:06:13", + "duration_sec": 57.88 + }, + "generate": { + "started_at": "2026-05-01T18:06:13", + "ended_at": "2026-05-01T18:06:16", + "duration_sec": 2.913 + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/adapter_report.json b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..56064736c23b7a069eff8b9fd4b35aa3d71c72f5 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/adapter_report.json @@ -0,0 +1,7 @@ +{ + "adapter_ready_status": "pass", + "adapter_fail_reason_code": null, + "adapter_fail_detail": null, + "adapter_transforms_applied": [], + "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/adapter_transforms_applied.json b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/model_input_manifest.json b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f83a69a894d04252fc073ae019fd608f8fc425d4 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/model_input_manifest.json @@ -0,0 +1,154 @@ +{ + "dataset_id": "m4", + "model": "forestdiffusion", + "target_column": "charges", + "task_type": "regression", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/staged_features.json b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/staged_features.json @@ -0,0 +1,37 @@ +[ + { + "feature_name": "age", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "sex", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "bmi", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "children", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "smoker", + "data_type": "binary", + "is_target": false + }, + { + "feature_name": "region", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "charges", + "data_type": "continuous", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/test.csv b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4c541b677fb2d45c5bc79338eeee9fd8c91484b195a0c2c546c2fbabf113b7ea +size 11298 diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/train.csv b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:614ebfac5f41d6f661aff675fa18c0f933a8d9bcc77ea71b7b2360c2f0155837 +size 90069 diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/val.csv b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7 +size 11218 diff --git a/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/train_20260501_180515.log b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/train_20260501_180515.log new file mode 100644 index 0000000000000000000000000000000000000000..f49eeca23976bdb11642498eb2568d8074f1c6c6 --- /dev/null +++ b/syntheticSuccess/m4/forestdiffusion/forest-m4-20260501_180515/train_20260501_180515.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:04408cebec8e9a4ffa7defd33433944a7702ac6869da550bee775ad1fcf1ccb8 +size 421 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/gen_20260501_034506.log b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/gen_20260501_034506.log new file mode 100644 index 0000000000000000000000000000000000000000..1ffb072f68684890f4fa4ab986becf7af321e3c3 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/gen_20260501_034506.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cd13f5b783d0993e6b1a0e1b060b47ff9e4273ecbf113118deebd0f9b433305c +size 1732 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/input_snapshot.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..9db22a39e5ccaaeedd23cf99efa32e16d4ed388a --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "m4", + "model": "realtabformer", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "exists": true, + "size": 92191, + "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "exists": true, + "size": 11482, + "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv", + "exists": true, + "size": 11559, + "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json", + "exists": true, + "size": 3336, + "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json", + "exists": true, + "size": 3810, + "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/models_100epochs/id000017775783042094469120/rtf_config.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/models_100epochs/id000017775783042094469120/rtf_config.json new file mode 100644 index 0000000000000000000000000000000000000000..87e6c03c6097f811621a00bee440bd0725656468 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/models_100epochs/id000017775783042094469120/rtf_config.json @@ -0,0 +1 @@ +{"model_type": "tabular", "tabular_config": {"transformers_version": "5.5.3", "architectures": ["GPT2LMHeadModel"], "output_hidden_states": false, "return_dict": true, "dtype": "float32", "chunk_size_feed_forward": 0, "is_encoder_decoder": false, "id2label": {"0": "LABEL_0", "1": "LABEL_1"}, "label2id": {"LABEL_0": 0, "LABEL_1": 1}, "problem_type": null, "vocab_size": 167, "n_positions": 1024, "n_embd": 768, "n_layer": 6, "n_head": 12, "n_inner": null, "activation_function": "gelu_new", "resid_pdrop": 0.1, "embd_pdrop": 0.1, "attn_pdrop": 0.1, "layer_norm_epsilon": 1e-05, "initializer_range": 0.02, "summary_type": "cls_index", "summary_use_proj": true, "summary_activation": null, "summary_proj_to_labels": true, "summary_first_dropout": 0.1, "scale_attn_weights": true, "use_cache": false, "bos_token_id": 5, "eos_token_id": 6, "pad_token_id": null, "scale_attn_by_inverse_layer_idx": false, "reorder_and_upcast_attn": false, "add_cross_attention": false, "tie_word_embeddings": true, "_name_or_path": "", "model_type": "gpt2", "output_attentions": false}, "checkpoints_dir": "rtf_checkpoints", "samples_save_dir": "rtf_samples", "full_save_dir": "rtf_full_save", "epochs": 100, "batch_size": 8, "early_stopping_patience": 5, "early_stopping_threshold": 0, "training_args_kwargs": {"eval_strategy": "no", "output_dir": "rtf_checkpoints", "metric_for_best_model": "loss", "num_train_epochs": 100, "per_device_train_batch_size": 8, "per_device_eval_batch_size": 8, "gradient_accumulation_steps": 4, "remove_unused_columns": true, "logging_steps": 100, "save_steps": 100, "eval_steps": 100, "load_best_model_at_end": false, "save_total_limit": 6, "optim": "adamw_torch"}, "train_size": 1, "mask_rate": 0, "columns": ["age", "sex", "bmi", "children", "smoker", "region", "charges"], "column_dtypes": {"age": "int64", "sex": "object", "bmi": "float64", "children": "int64", "smoker": "object", "region": "object", "charges": "float64"}, "column_has_missing": {"age": false, "sex": false, "bmi": false, "children": false, "smoker": false, "region": false, "charges": false}, "drop_na_cols": ["age", "sex", "bmi", "children", "smoker", "region", "charges"], "processed_columns": ["0___NUMERIC___age_00", "0___NUMERIC___age_01", "1___CATEGORICAL___sex", "2___NUMERIC___bmi_00", "2___NUMERIC___bmi_01", "2___NUMERIC___bmi_02", "2___NUMERIC___bmi_03", "2___NUMERIC___bmi_04", "2___NUMERIC___bmi_05", "3___NUMERIC___children_00", "4___CATEGORICAL___smoker", "5___CATEGORICAL___region", "6___NUMERIC___charges_00", "6___NUMERIC___charges_01", "6___NUMERIC___charges_02", "6___NUMERIC___charges_03", "6___NUMERIC___charges_04", "6___NUMERIC___charges_05", "6___NUMERIC___charges_06", "6___NUMERIC___charges_07", "6___NUMERIC___charges_08", "6___NUMERIC___charges_09"], "numeric_columns": ["age", "bmi", "children", "charges"], "datetime_columns": [], "vocab": {"id2token": {"0": "[UNK]", "1": "[SEP]", "2": "[PAD]", "3": "[CLS]", "4": "[MASK]", "5": "[BOS]", "6": "[EOS]", "7": "[BMEM]", "8": "[EMEM]", "9": "[RMASK]", "10": "[SPTYPE]", "11": "0___NUMERIC___age_00___1", "12": "0___NUMERIC___age_00___2", "13": "0___NUMERIC___age_00___3", "14": "0___NUMERIC___age_00___4", "15": "0___NUMERIC___age_00___5", "16": "0___NUMERIC___age_00___6", "17": "0___NUMERIC___age_01___0", "18": "0___NUMERIC___age_01___1", "19": "0___NUMERIC___age_01___2", "20": "0___NUMERIC___age_01___3", "21": "0___NUMERIC___age_01___4", "22": "0___NUMERIC___age_01___5", "23": "0___NUMERIC___age_01___6", "24": "0___NUMERIC___age_01___7", "25": "0___NUMERIC___age_01___8", "26": "0___NUMERIC___age_01___9", "27": "1___CATEGORICAL___sex___female", "28": "1___CATEGORICAL___sex___male", "29": "2___NUMERIC___bmi_00___1", "30": "2___NUMERIC___bmi_00___2", "31": "2___NUMERIC___bmi_00___3", "32": "2___NUMERIC___bmi_00___4", "33": "2___NUMERIC___bmi_00___5", "34": "2___NUMERIC___bmi_01___0", "35": "2___NUMERIC___bmi_01___1", "36": "2___NUMERIC___bmi_01___2", "37": "2___NUMERIC___bmi_01___3", "38": "2___NUMERIC___bmi_01___4", "39": "2___NUMERIC___bmi_01___5", "40": "2___NUMERIC___bmi_01___6", "41": "2___NUMERIC___bmi_01___7", "42": "2___NUMERIC___bmi_01___8", "43": "2___NUMERIC___bmi_01___9", "44": "2___NUMERIC___bmi_02___.", "45": "2___NUMERIC___bmi_03___0", "46": "2___NUMERIC___bmi_03___1", "47": "2___NUMERIC___bmi_03___2", "48": "2___NUMERIC___bmi_03___3", "49": "2___NUMERIC___bmi_03___4", "50": "2___NUMERIC___bmi_03___5", "51": "2___NUMERIC___bmi_03___6", "52": "2___NUMERIC___bmi_03___7", "53": "2___NUMERIC___bmi_03___8", "54": "2___NUMERIC___bmi_03___9", "55": "2___NUMERIC___bmi_04___0", "56": "2___NUMERIC___bmi_04___1", "57": "2___NUMERIC___bmi_04___2", "58": "2___NUMERIC___bmi_04___3", "59": "2___NUMERIC___bmi_04___4", "60": "2___NUMERIC___bmi_04___5", "61": "2___NUMERIC___bmi_04___6", "62": "2___NUMERIC___bmi_04___7", "63": "2___NUMERIC___bmi_04___8", "64": "2___NUMERIC___bmi_04___9", "65": "2___NUMERIC___bmi_05___0", "66": "2___NUMERIC___bmi_05___5", "67": "3___NUMERIC___children_00___0", "68": "3___NUMERIC___children_00___1", "69": "3___NUMERIC___children_00___2", "70": "3___NUMERIC___children_00___3", "71": "3___NUMERIC___children_00___4", "72": "3___NUMERIC___children_00___5", "73": "4___CATEGORICAL___smoker___no", "74": "4___CATEGORICAL___smoker___yes", "75": "5___CATEGORICAL___region___northeast", "76": "5___CATEGORICAL___region___northwest", "77": "5___CATEGORICAL___region___southeast", "78": "5___CATEGORICAL___region___southwest", "79": "6___NUMERIC___charges_00___0", "80": "6___NUMERIC___charges_00___1", "81": "6___NUMERIC___charges_00___2", "82": "6___NUMERIC___charges_00___3", "83": "6___NUMERIC___charges_00___4", "84": "6___NUMERIC___charges_00___5", "85": "6___NUMERIC___charges_00___6", "86": "6___NUMERIC___charges_01___0", "87": "6___NUMERIC___charges_01___1", "88": "6___NUMERIC___charges_01___2", "89": "6___NUMERIC___charges_01___3", "90": "6___NUMERIC___charges_01___4", "91": "6___NUMERIC___charges_01___5", "92": "6___NUMERIC___charges_01___6", "93": "6___NUMERIC___charges_01___7", "94": "6___NUMERIC___charges_01___8", "95": "6___NUMERIC___charges_01___9", "96": "6___NUMERIC___charges_02___0", "97": "6___NUMERIC___charges_02___1", "98": "6___NUMERIC___charges_02___2", "99": "6___NUMERIC___charges_02___3", "100": "6___NUMERIC___charges_02___4", "101": "6___NUMERIC___charges_02___5", "102": "6___NUMERIC___charges_02___6", "103": "6___NUMERIC___charges_02___7", "104": "6___NUMERIC___charges_02___8", "105": "6___NUMERIC___charges_02___9", "106": "6___NUMERIC___charges_03___0", "107": "6___NUMERIC___charges_03___1", "108": "6___NUMERIC___charges_03___2", "109": "6___NUMERIC___charges_03___3", "110": "6___NUMERIC___charges_03___4", "111": "6___NUMERIC___charges_03___5", "112": "6___NUMERIC___charges_03___6", "113": "6___NUMERIC___charges_03___7", "114": "6___NUMERIC___charges_03___8", "115": "6___NUMERIC___charges_03___9", "116": "6___NUMERIC___charges_04___0", "117": "6___NUMERIC___charges_04___1", "118": "6___NUMERIC___charges_04___2", "119": "6___NUMERIC___charges_04___3", "120": "6___NUMERIC___charges_04___4", "121": "6___NUMERIC___charges_04___5", "122": "6___NUMERIC___charges_04___6", "123": "6___NUMERIC___charges_04___7", "124": "6___NUMERIC___charges_04___8", "125": "6___NUMERIC___charges_04___9", "126": "6___NUMERIC___charges_05___.", "127": "6___NUMERIC___charges_06___0", "128": "6___NUMERIC___charges_06___1", "129": "6___NUMERIC___charges_06___2", "130": "6___NUMERIC___charges_06___3", "131": "6___NUMERIC___charges_06___4", "132": "6___NUMERIC___charges_06___5", "133": "6___NUMERIC___charges_06___6", "134": "6___NUMERIC___charges_06___7", "135": "6___NUMERIC___charges_06___8", "136": "6___NUMERIC___charges_06___9", "137": "6___NUMERIC___charges_07___0", "138": "6___NUMERIC___charges_07___1", "139": "6___NUMERIC___charges_07___2", "140": "6___NUMERIC___charges_07___3", "141": "6___NUMERIC___charges_07___4", "142": "6___NUMERIC___charges_07___5", "143": "6___NUMERIC___charges_07___6", "144": "6___NUMERIC___charges_07___7", "145": "6___NUMERIC___charges_07___8", "146": "6___NUMERIC___charges_07___9", "147": "6___NUMERIC___charges_08___0", "148": "6___NUMERIC___charges_08___1", "149": "6___NUMERIC___charges_08___2", "150": "6___NUMERIC___charges_08___3", "151": "6___NUMERIC___charges_08___4", "152": "6___NUMERIC___charges_08___5", "153": "6___NUMERIC___charges_08___6", "154": "6___NUMERIC___charges_08___7", "155": "6___NUMERIC___charges_08___8", "156": "6___NUMERIC___charges_08___9", "157": "6___NUMERIC___charges_09___0", "158": "6___NUMERIC___charges_09___1", "159": "6___NUMERIC___charges_09___2", "160": "6___NUMERIC___charges_09___3", "161": "6___NUMERIC___charges_09___4", "162": "6___NUMERIC___charges_09___5", "163": "6___NUMERIC___charges_09___6", "164": "6___NUMERIC___charges_09___7", "165": "6___NUMERIC___charges_09___8", "166": "6___NUMERIC___charges_09___9"}, "token2id": {"[UNK]": 0, "[SEP]": 1, "[PAD]": 2, "[CLS]": 3, "[MASK]": 4, "[BOS]": 5, "[EOS]": 6, "[BMEM]": 7, "[EMEM]": 8, "[RMASK]": 9, "[SPTYPE]": 10, "0___NUMERIC___age_00___1": 11, "0___NUMERIC___age_00___2": 12, "0___NUMERIC___age_00___3": 13, "0___NUMERIC___age_00___4": 14, "0___NUMERIC___age_00___5": 15, "0___NUMERIC___age_00___6": 16, "0___NUMERIC___age_01___0": 17, "0___NUMERIC___age_01___1": 18, "0___NUMERIC___age_01___2": 19, "0___NUMERIC___age_01___3": 20, "0___NUMERIC___age_01___4": 21, "0___NUMERIC___age_01___5": 22, "0___NUMERIC___age_01___6": 23, "0___NUMERIC___age_01___7": 24, "0___NUMERIC___age_01___8": 25, "0___NUMERIC___age_01___9": 26, "1___CATEGORICAL___sex___female": 27, "1___CATEGORICAL___sex___male": 28, "2___NUMERIC___bmi_00___1": 29, "2___NUMERIC___bmi_00___2": 30, "2___NUMERIC___bmi_00___3": 31, "2___NUMERIC___bmi_00___4": 32, "2___NUMERIC___bmi_00___5": 33, "2___NUMERIC___bmi_01___0": 34, "2___NUMERIC___bmi_01___1": 35, "2___NUMERIC___bmi_01___2": 36, "2___NUMERIC___bmi_01___3": 37, "2___NUMERIC___bmi_01___4": 38, "2___NUMERIC___bmi_01___5": 39, "2___NUMERIC___bmi_01___6": 40, "2___NUMERIC___bmi_01___7": 41, "2___NUMERIC___bmi_01___8": 42, "2___NUMERIC___bmi_01___9": 43, "2___NUMERIC___bmi_02___.": 44, "2___NUMERIC___bmi_03___0": 45, "2___NUMERIC___bmi_03___1": 46, "2___NUMERIC___bmi_03___2": 47, "2___NUMERIC___bmi_03___3": 48, "2___NUMERIC___bmi_03___4": 49, "2___NUMERIC___bmi_03___5": 50, "2___NUMERIC___bmi_03___6": 51, "2___NUMERIC___bmi_03___7": 52, "2___NUMERIC___bmi_03___8": 53, "2___NUMERIC___bmi_03___9": 54, "2___NUMERIC___bmi_04___0": 55, "2___NUMERIC___bmi_04___1": 56, "2___NUMERIC___bmi_04___2": 57, "2___NUMERIC___bmi_04___3": 58, "2___NUMERIC___bmi_04___4": 59, "2___NUMERIC___bmi_04___5": 60, "2___NUMERIC___bmi_04___6": 61, "2___NUMERIC___bmi_04___7": 62, "2___NUMERIC___bmi_04___8": 63, "2___NUMERIC___bmi_04___9": 64, "2___NUMERIC___bmi_05___0": 65, "2___NUMERIC___bmi_05___5": 66, "3___NUMERIC___children_00___0": 67, "3___NUMERIC___children_00___1": 68, "3___NUMERIC___children_00___2": 69, "3___NUMERIC___children_00___3": 70, "3___NUMERIC___children_00___4": 71, "3___NUMERIC___children_00___5": 72, "4___CATEGORICAL___smoker___no": 73, "4___CATEGORICAL___smoker___yes": 74, "5___CATEGORICAL___region___northeast": 75, "5___CATEGORICAL___region___northwest": 76, "5___CATEGORICAL___region___southeast": 77, "5___CATEGORICAL___region___southwest": 78, "6___NUMERIC___charges_00___0": 79, "6___NUMERIC___charges_00___1": 80, "6___NUMERIC___charges_00___2": 81, "6___NUMERIC___charges_00___3": 82, "6___NUMERIC___charges_00___4": 83, "6___NUMERIC___charges_00___5": 84, "6___NUMERIC___charges_00___6": 85, "6___NUMERIC___charges_01___0": 86, "6___NUMERIC___charges_01___1": 87, "6___NUMERIC___charges_01___2": 88, "6___NUMERIC___charges_01___3": 89, "6___NUMERIC___charges_01___4": 90, "6___NUMERIC___charges_01___5": 91, "6___NUMERIC___charges_01___6": 92, "6___NUMERIC___charges_01___7": 93, "6___NUMERIC___charges_01___8": 94, "6___NUMERIC___charges_01___9": 95, "6___NUMERIC___charges_02___0": 96, "6___NUMERIC___charges_02___1": 97, "6___NUMERIC___charges_02___2": 98, "6___NUMERIC___charges_02___3": 99, "6___NUMERIC___charges_02___4": 100, "6___NUMERIC___charges_02___5": 101, "6___NUMERIC___charges_02___6": 102, "6___NUMERIC___charges_02___7": 103, "6___NUMERIC___charges_02___8": 104, "6___NUMERIC___charges_02___9": 105, "6___NUMERIC___charges_03___0": 106, "6___NUMERIC___charges_03___1": 107, "6___NUMERIC___charges_03___2": 108, "6___NUMERIC___charges_03___3": 109, "6___NUMERIC___charges_03___4": 110, "6___NUMERIC___charges_03___5": 111, "6___NUMERIC___charges_03___6": 112, "6___NUMERIC___charges_03___7": 113, "6___NUMERIC___charges_03___8": 114, "6___NUMERIC___charges_03___9": 115, "6___NUMERIC___charges_04___0": 116, "6___NUMERIC___charges_04___1": 117, "6___NUMERIC___charges_04___2": 118, "6___NUMERIC___charges_04___3": 119, "6___NUMERIC___charges_04___4": 120, "6___NUMERIC___charges_04___5": 121, "6___NUMERIC___charges_04___6": 122, "6___NUMERIC___charges_04___7": 123, "6___NUMERIC___charges_04___8": 124, "6___NUMERIC___charges_04___9": 125, "6___NUMERIC___charges_05___.": 126, "6___NUMERIC___charges_06___0": 127, "6___NUMERIC___charges_06___1": 128, "6___NUMERIC___charges_06___2": 129, "6___NUMERIC___charges_06___3": 130, "6___NUMERIC___charges_06___4": 131, "6___NUMERIC___charges_06___5": 132, "6___NUMERIC___charges_06___6": 133, "6___NUMERIC___charges_06___7": 134, "6___NUMERIC___charges_06___8": 135, "6___NUMERIC___charges_06___9": 136, "6___NUMERIC___charges_07___0": 137, "6___NUMERIC___charges_07___1": 138, "6___NUMERIC___charges_07___2": 139, "6___NUMERIC___charges_07___3": 140, "6___NUMERIC___charges_07___4": 141, "6___NUMERIC___charges_07___5": 142, "6___NUMERIC___charges_07___6": 143, "6___NUMERIC___charges_07___7": 144, "6___NUMERIC___charges_07___8": 145, "6___NUMERIC___charges_07___9": 146, "6___NUMERIC___charges_08___0": 147, "6___NUMERIC___charges_08___1": 148, "6___NUMERIC___charges_08___2": 149, "6___NUMERIC___charges_08___3": 150, "6___NUMERIC___charges_08___4": 151, "6___NUMERIC___charges_08___5": 152, "6___NUMERIC___charges_08___6": 153, "6___NUMERIC___charges_08___7": 154, "6___NUMERIC___charges_08___8": 155, "6___NUMERIC___charges_08___9": 156, "6___NUMERIC___charges_09___0": 157, "6___NUMERIC___charges_09___1": 158, "6___NUMERIC___charges_09___2": 159, "6___NUMERIC___charges_09___3": 160, "6___NUMERIC___charges_09___4": 161, "6___NUMERIC___charges_09___5": 162, "6___NUMERIC___charges_09___6": 163, "6___NUMERIC___charges_09___7": 164, "6___NUMERIC___charges_09___8": 165, "6___NUMERIC___charges_09___9": 166}, "column_token_ids": {"0___NUMERIC___age_00": [11, 12, 13, 14, 15, 16], "0___NUMERIC___age_01": [17, 18, 19, 20, 21, 22, 23, 24, 25, 26], "1___CATEGORICAL___sex": [27, 28], "2___NUMERIC___bmi_00": [29, 30, 31, 32, 33], "2___NUMERIC___bmi_01": [34, 35, 36, 37, 38, 39, 40, 41, 42, 43], "2___NUMERIC___bmi_02": [44], "2___NUMERIC___bmi_03": [45, 46, 47, 48, 49, 50, 51, 52, 53, 54], "2___NUMERIC___bmi_04": [55, 56, 57, 58, 59, 60, 61, 62, 63, 64], "2___NUMERIC___bmi_05": [65, 66], "3___NUMERIC___children_00": [67, 68, 69, 70, 71, 72], "4___CATEGORICAL___smoker": [73, 74], "5___CATEGORICAL___region": [75, 76, 77, 78], "6___NUMERIC___charges_00": [79, 80, 81, 82, 83, 84, 85], "6___NUMERIC___charges_01": [86, 87, 88, 89, 90, 91, 92, 93, 94, 95], "6___NUMERIC___charges_02": [96, 97, 98, 99, 100, 101, 102, 103, 104, 105], "6___NUMERIC___charges_03": [106, 107, 108, 109, 110, 111, 112, 113, 114, 115], "6___NUMERIC___charges_04": [116, 117, 118, 119, 120, 121, 122, 123, 124, 125], "6___NUMERIC___charges_05": [126], "6___NUMERIC___charges_06": [127, 128, 129, 130, 131, 132, 133, 134, 135, 136], "6___NUMERIC___charges_07": [137, 138, 139, 140, 141, 142, 143, 144, 145, 146], "6___NUMERIC___charges_08": [147, 148, 149, 150, 151, 152, 153, 154, 155, 156], "6___NUMERIC___charges_09": [157, 158, 159, 160, 161, 162, 163, 164, 165, 166]}}, "tabular_max_length": 24, "relational_max_length": null, "tabular_col_size": 2217, "relational_col_size": null, "col_transform_data": {"age": {"max_len": 10, "numeric_precision": 4, "mx_sig": -1, "zfill": 2, "numeric_nparts": 1}, "bmi": {"max_len": 10, "numeric_precision": 4, "mx_sig": 2, "ljust": 6, "numeric_nparts": 1}, "children": {"max_len": 10, "numeric_precision": 4, "mx_sig": -1, "zfill": 1, "numeric_nparts": 1}, "charges": {"max_len": 10, "numeric_precision": 4, "mx_sig": 5, "ljust": 10, "numeric_nparts": 1}}, "in_col_transform_data": null, "col_idx_ids": {"0": [11, 12, 13, 14, 15, 16], "1": [17, 18, 19, 20, 21, 22, 23, 24, 25, 26], "2": [27, 28], "3": [29, 30, 31, 32, 33], "4": [34, 35, 36, 37, 38, 39, 40, 41, 42, 43], "5": [44], "6": [45, 46, 47, 48, 49, 50, 51, 52, 53, 54], "7": [55, 56, 57, 58, 59, 60, 61, 62, 63, 64], "8": [65, 66], "9": [67, 68, 69, 70, 71, 72], "10": [73, 74], "11": [75, 76, 77, 78], "12": [79, 80, 81, 82, 83, 84, 85], "13": [86, 87, 88, 89, 90, 91, 92, 93, 94, 95], "14": [96, 97, 98, 99, 100, 101, 102, 103, 104, 105], "15": [106, 107, 108, 109, 110, 111, 112, 113, 114, 115], "16": [116, 117, 118, 119, 120, 121, 122, 123, 124, 125], "17": [126], "18": [127, 128, 129, 130, 131, 132, 133, 134, 135, 136], "19": [137, 138, 139, 140, 141, 142, 143, 144, 145, 146], "20": [147, 148, 149, 150, 151, 152, 153, 154, 155, 156], "21": [157, 158, 159, 160, 161, 162, 163, 164, 165, 166]}, "random_state": 1029, "numeric_nparts": 1, "numeric_precision": 4, "numeric_max_len": 10, "experiment_id": "id000017775783042094469120", "trainer_state": null, "target_col": null, "realtabformer_version": "0.2.4"} \ No newline at end of file diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/models_100epochs/id000017775783042094469120/rtf_model.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/models_100epochs/id000017775783042094469120/rtf_model.pt new file mode 100644 index 0000000000000000000000000000000000000000..d62b5ed9b79f43902f845a9436f6a59f162796e6 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/models_100epochs/id000017775783042094469120/rtf_model.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f8caed3c365182c50722b6cc231d2454fa35b93305aa0578f4755801fadcf7af +size 173802979 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..31ed9818686b11907df75e872e4ffbe010330880 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,147 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "columns": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/public_gate/public_gate_report.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..e7a25408e2574124629ea9437356551e4d6f4790 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "m4", + "status": "pass", + "checks": [ + { + "check_id": "PG001_csv_parse_ok", + "status": "pass" + }, + { + "check_id": "PG002_split_header_consistent", + "status": "pass" + }, + { + "check_id": "PG003_profile_header_match", + "status": "pass" + }, + { + "check_id": "PG004_missing_token_normalized", + "status": "pass" + }, + { + "check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "charges", + "task_type": "regression", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/public_gate/staged_input_manifest.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..10a928683e9eef723a7f7405c1f5ee2ca9afe1db --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/public_gate/staged_input_manifest.json @@ -0,0 +1,152 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/realtabformer_features.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/realtabformer_features.json new file mode 100644 index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/realtabformer_features.json @@ -0,0 +1,37 @@ +[ + { + "feature_name": "age", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "sex", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "bmi", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "children", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "smoker", + "data_type": "binary", + "is_target": false + }, + { + "feature_name": "region", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "charges", + "data_type": "continuous", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf-m4-2217-20260501_034506.csv b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf-m4-2217-20260501_034506.csv new file mode 100644 index 0000000000000000000000000000000000000000..9334c73c613ef00d04ed6338cd4040d6eda1584b --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf-m4-2217-20260501_034506.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8fc4645c3323ef885348244dce9a3df30de8c9f0b65996d633d6fded1e7be1dd +size 89525 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/config.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/config.json new file mode 100644 index 0000000000000000000000000000000000000000..69b1961f0cbafdc846150e71a2d82b4ce3beb94c --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu_new", + "add_cross_attention": false, + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 5, + "dtype": "float32", + "embd_pdrop": 0.1, + "eos_token_id": 6, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_embd": 768, + "n_head": 12, + "n_inner": null, + "n_layer": 6, + "n_positions": 1024, + "pad_token_id": null, + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "tie_word_embeddings": true, + "transformers_version": "5.5.3", + "use_cache": false, + "vocab_size": 167 +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/generation_config.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..ffe89567780e75b5c22eade9be971483b9618f39 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 5, + "eos_token_id": 6, + "output_attentions": false, + "output_hidden_states": false, + "transformers_version": "5.5.3", + "use_cache": true +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/model.safetensors b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..9124164a61b6e40ac80d3aed933448e4d36624b0 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b5994f5180d8e9f816461560c2a11b25f891f1ac01c21bffcd89bf3de26426ba +size 173781448 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/optimizer.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/optimizer.pt new file mode 100644 index 0000000000000000000000000000000000000000..14ca3c826e8299c4ad52a4b15f4062bff2311276 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:54c2d868b2030bd5e8caded00d5e58cc21069bd10f0fdb1e6ef078e19f9bddee +size 347611979 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/rng_state.pth b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/rng_state.pth new file mode 100644 index 0000000000000000000000000000000000000000..41df2febec3b46bd397fb18467fde2a8f8d4aebd --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:732e23aaffd55178f2dd1d085eecf298625b2d4d355d639c34a72ab88128f8f0 +size 14645 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/scaler.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/scaler.pt new file mode 100644 index 0000000000000000000000000000000000000000..38ef879e14ef0ec13bd903cd31cf182793c5d358 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/scaler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:99e2f29d3922f3b085866a94f7ed2f7acf8347b8c4ffa9ffe23357f84a2e7ff6 +size 1383 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/scheduler.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/scheduler.pt new file mode 100644 index 0000000000000000000000000000000000000000..2a0658e737821b25bdd1dde523e5270a28e92a95 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/scheduler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0007691153b41c73b1c602c3655b57a3810594736cdb735c7a760179d53b5a07 +size 1465 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/trainer_state.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..45cc6933bfa61437c7bb6905d00e3ab92f87329f --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/trainer_state.json @@ -0,0 +1,503 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 97.0, + "eval_steps": 100, + "global_step": 6790, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 1.4316546762589928, + "grad_norm": 0.355408638715744, + "learning_rate": 4.929285714285715e-05, + "loss": 1.9745016479492188, + "step": 100 + }, + { + "epoch": 2.8633093525179856, + "grad_norm": 0.3432696759700775, + "learning_rate": 4.857857142857143e-05, + "loss": 1.4019232177734375, + "step": 200 + }, + { + "epoch": 4.287769784172662, + "grad_norm": 0.37436360120773315, + "learning_rate": 4.7864285714285714e-05, + "loss": 1.3409852600097656, + "step": 300 + }, + { + "epoch": 5.719424460431655, + "grad_norm": 0.3854033648967743, + "learning_rate": 4.715e-05, + "loss": 1.2996253967285156, + "step": 400 + }, + { + "epoch": 7.143884892086331, + "grad_norm": 0.4203447997570038, + "learning_rate": 4.643571428571429e-05, + "loss": 1.259985122680664, + "step": 500 + }, + { + "epoch": 8.575539568345324, + "grad_norm": 0.4687316417694092, + "learning_rate": 4.5721428571428574e-05, + "loss": 1.2107434844970704, + "step": 600 + }, + { + "epoch": 10.0, + "grad_norm": 0.9186628460884094, + "learning_rate": 4.500714285714286e-05, + "loss": 1.1670813751220703, + "step": 700 + }, + { + "epoch": 11.431654676258994, + "grad_norm": 0.49637436866760254, + "learning_rate": 4.429285714285715e-05, + "loss": 1.1059295654296875, + "step": 800 + }, + { + "epoch": 12.863309352517986, + "grad_norm": 0.5657761096954346, + "learning_rate": 4.357857142857143e-05, + "loss": 1.040764389038086, + "step": 900 + }, + { + "epoch": 14.287769784172662, + "grad_norm": 0.5341610312461853, + "learning_rate": 4.2864285714285715e-05, + "loss": 0.9634710693359375, + "step": 1000 + }, + { + "epoch": 15.719424460431654, + "grad_norm": 0.6149197816848755, + "learning_rate": 4.215e-05, + "loss": 0.88642822265625, + "step": 1100 + }, + { + "epoch": 17.14388489208633, + "grad_norm": 0.5562811493873596, + "learning_rate": 4.143571428571429e-05, + "loss": 0.8134054565429687, + "step": 1200 + }, + { + "epoch": 18.575539568345324, + "grad_norm": 0.572320282459259, + "learning_rate": 4.0721428571428575e-05, + "loss": 0.7409443664550781, + "step": 1300 + }, + { + "epoch": 20.0, + "grad_norm": 1.1183358430862427, + "learning_rate": 4.000714285714286e-05, + "loss": 0.6947654724121094, + "step": 1400 + }, + { + "epoch": 21.431654676258994, + "grad_norm": 0.5899038314819336, + "learning_rate": 3.929285714285714e-05, + "loss": 0.6337775039672852, + "step": 1500 + }, + { + "epoch": 22.863309352517987, + "grad_norm": 0.5425059199333191, + "learning_rate": 3.857857142857143e-05, + "loss": 0.5985966491699218, + "step": 1600 + }, + { + "epoch": 24.28776978417266, + "grad_norm": 0.5404720306396484, + "learning_rate": 3.786428571428572e-05, + "loss": 0.5602037811279297, + "step": 1700 + }, + { + "epoch": 25.719424460431654, + "grad_norm": 0.5059275031089783, + "learning_rate": 3.715e-05, + "loss": 0.5371580123901367, + "step": 1800 + }, + { + "epoch": 27.14388489208633, + "grad_norm": 0.44090911746025085, + "learning_rate": 3.643571428571429e-05, + "loss": 0.5157820892333984, + "step": 1900 + }, + { + "epoch": 28.575539568345324, + "grad_norm": 0.47748005390167236, + "learning_rate": 3.5721428571428575e-05, + "loss": 0.4929149627685547, + "step": 2000 + }, + { + "epoch": 30.0, + "grad_norm": 0.8368889689445496, + "learning_rate": 3.500714285714286e-05, + "loss": 0.4742084503173828, + "step": 2100 + }, + { + "epoch": 31.431654676258994, + "grad_norm": 0.43759119510650635, + "learning_rate": 3.429285714285714e-05, + "loss": 0.4594686508178711, + "step": 2200 + }, + { + "epoch": 32.86330935251799, + "grad_norm": 0.5055125951766968, + "learning_rate": 3.357857142857143e-05, + "loss": 0.44555919647216796, + "step": 2300 + }, + { + "epoch": 34.28776978417266, + "grad_norm": 0.4293630123138428, + "learning_rate": 3.2864285714285715e-05, + "loss": 0.43556678771972657, + "step": 2400 + }, + { + "epoch": 35.719424460431654, + "grad_norm": 0.4206651747226715, + "learning_rate": 3.215e-05, + "loss": 0.42476219177246094, + "step": 2500 + }, + { + "epoch": 37.143884892086334, + "grad_norm": 0.40377891063690186, + "learning_rate": 3.143571428571428e-05, + "loss": 0.41686100006103516, + "step": 2600 + }, + { + "epoch": 38.57553956834532, + "grad_norm": 0.44274216890335083, + "learning_rate": 3.0721428571428576e-05, + "loss": 0.4049409866333008, + "step": 2700 + }, + { + "epoch": 40.0, + "grad_norm": 0.7320085763931274, + "learning_rate": 3.0007142857142856e-05, + "loss": 0.40352741241455076, + "step": 2800 + }, + { + "epoch": 41.431654676258994, + "grad_norm": 0.3710326552391052, + "learning_rate": 2.9292857142857146e-05, + "loss": 0.392877082824707, + "step": 2900 + }, + { + "epoch": 42.86330935251799, + "grad_norm": 0.41697078943252563, + "learning_rate": 2.8578571428571433e-05, + "loss": 0.3891782760620117, + "step": 3000 + }, + { + "epoch": 44.28776978417266, + "grad_norm": 0.3859659433364868, + "learning_rate": 2.7864285714285716e-05, + "loss": 0.3797669982910156, + "step": 3100 + }, + { + "epoch": 45.719424460431654, + "grad_norm": 0.4415609836578369, + "learning_rate": 2.7150000000000003e-05, + "loss": 0.375827751159668, + "step": 3200 + }, + { + "epoch": 47.143884892086334, + "grad_norm": 0.3726028501987457, + "learning_rate": 2.6435714285714286e-05, + "loss": 0.37346839904785156, + "step": 3300 + }, + { + "epoch": 48.57553956834532, + "grad_norm": 0.38533180952072144, + "learning_rate": 2.5721428571428573e-05, + "loss": 0.36665096282958987, + "step": 3400 + }, + { + "epoch": 50.0, + "grad_norm": 0.6937333345413208, + "learning_rate": 2.5007142857142856e-05, + "loss": 0.3679323959350586, + "step": 3500 + }, + { + "epoch": 51.431654676258994, + "grad_norm": 0.3872888386249542, + "learning_rate": 2.4292857142857146e-05, + "loss": 0.3602333068847656, + "step": 3600 + }, + { + "epoch": 52.86330935251799, + "grad_norm": 0.3236874043941498, + "learning_rate": 2.357857142857143e-05, + "loss": 0.3591602325439453, + "step": 3700 + }, + { + "epoch": 54.28776978417266, + "grad_norm": 0.3833729326725006, + "learning_rate": 2.2864285714285716e-05, + "loss": 0.3564492797851562, + "step": 3800 + }, + { + "epoch": 55.719424460431654, + "grad_norm": 0.38681459426879883, + "learning_rate": 2.215e-05, + "loss": 0.35298805236816405, + "step": 3900 + }, + { + "epoch": 57.143884892086334, + "grad_norm": 0.3262157142162323, + "learning_rate": 2.1435714285714286e-05, + "loss": 0.3520388412475586, + "step": 4000 + }, + { + "epoch": 58.57553956834532, + "grad_norm": 0.28272324800491333, + "learning_rate": 2.0721428571428573e-05, + "loss": 0.3480962371826172, + "step": 4100 + }, + { + "epoch": 60.0, + "grad_norm": 0.6237635016441345, + "learning_rate": 2.0007142857142857e-05, + "loss": 0.34799785614013673, + "step": 4200 + }, + { + "epoch": 61.431654676258994, + "grad_norm": 0.28903186321258545, + "learning_rate": 1.9292857142857143e-05, + "loss": 0.3425423049926758, + "step": 4300 + }, + { + "epoch": 62.86330935251799, + "grad_norm": 0.3131926953792572, + "learning_rate": 1.857857142857143e-05, + "loss": 0.3454655456542969, + "step": 4400 + }, + { + "epoch": 64.28776978417267, + "grad_norm": 0.28085246682167053, + "learning_rate": 1.7864285714285713e-05, + "loss": 0.34086563110351564, + "step": 4500 + }, + { + "epoch": 65.71942446043165, + "grad_norm": 0.3234202563762665, + "learning_rate": 1.7150000000000004e-05, + "loss": 0.33850929260253904, + "step": 4600 + }, + { + "epoch": 67.14388489208633, + "grad_norm": 0.25634437799453735, + "learning_rate": 1.6435714285714287e-05, + "loss": 0.3384051132202148, + "step": 4700 + }, + { + "epoch": 68.57553956834532, + "grad_norm": 0.3404187262058258, + "learning_rate": 1.5721428571428574e-05, + "loss": 0.3373231887817383, + "step": 4800 + }, + { + "epoch": 70.0, + "grad_norm": 0.6950141191482544, + "learning_rate": 1.5007142857142859e-05, + "loss": 0.3362230682373047, + "step": 4900 + }, + { + "epoch": 71.43165467625899, + "grad_norm": 0.38788536190986633, + "learning_rate": 1.4292857142857144e-05, + "loss": 0.33364181518554686, + "step": 5000 + }, + { + "epoch": 72.86330935251799, + "grad_norm": 0.26893335580825806, + "learning_rate": 1.3578571428571429e-05, + "loss": 0.33343013763427737, + "step": 5100 + }, + { + "epoch": 74.28776978417267, + "grad_norm": 0.317146360874176, + "learning_rate": 1.2864285714285716e-05, + "loss": 0.33120128631591794, + "step": 5200 + }, + { + "epoch": 75.71942446043165, + "grad_norm": 0.25996723771095276, + "learning_rate": 1.215e-05, + "loss": 0.33197879791259766, + "step": 5300 + }, + { + "epoch": 77.14388489208633, + "grad_norm": 0.2829038202762604, + "learning_rate": 1.1435714285714286e-05, + "loss": 0.3305575942993164, + "step": 5400 + }, + { + "epoch": 78.57553956834532, + "grad_norm": 0.3527142405509949, + "learning_rate": 1.0721428571428572e-05, + "loss": 0.32733917236328125, + "step": 5500 + }, + { + "epoch": 80.0, + "grad_norm": 0.48380932211875916, + "learning_rate": 1.0007142857142857e-05, + "loss": 0.3284780502319336, + "step": 5600 + }, + { + "epoch": 81.43165467625899, + "grad_norm": 0.28093209862709045, + "learning_rate": 9.292857142857144e-06, + "loss": 0.3261085891723633, + "step": 5700 + }, + { + "epoch": 82.86330935251799, + "grad_norm": 0.32190901041030884, + "learning_rate": 8.57857142857143e-06, + "loss": 0.32692623138427734, + "step": 5800 + }, + { + "epoch": 84.28776978417267, + "grad_norm": 0.25844648480415344, + "learning_rate": 7.864285714285714e-06, + "loss": 0.32516582489013673, + "step": 5900 + }, + { + "epoch": 85.71942446043165, + "grad_norm": 0.28139543533325195, + "learning_rate": 7.15e-06, + "loss": 0.3232896423339844, + "step": 6000 + }, + { + "epoch": 87.14388489208633, + "grad_norm": 0.29647108912467957, + "learning_rate": 6.435714285714287e-06, + "loss": 0.32342647552490233, + "step": 6100 + }, + { + "epoch": 88.57553956834532, + "grad_norm": 0.3490413427352905, + "learning_rate": 5.721428571428572e-06, + "loss": 0.3228362274169922, + "step": 6200 + }, + { + "epoch": 90.0, + "grad_norm": 0.716325044631958, + "learning_rate": 5.007142857142858e-06, + "loss": 0.3227589797973633, + "step": 6300 + }, + { + "epoch": 91.43165467625899, + "grad_norm": 0.27956023812294006, + "learning_rate": 4.292857142857143e-06, + "loss": 0.32096038818359374, + "step": 6400 + }, + { + "epoch": 92.86330935251799, + "grad_norm": 0.25956645607948303, + "learning_rate": 3.5785714285714292e-06, + "loss": 0.32137725830078123, + "step": 6500 + }, + { + "epoch": 94.28776978417267, + "grad_norm": 0.2535034120082855, + "learning_rate": 2.8642857142857147e-06, + "loss": 0.31845773696899415, + "step": 6600 + }, + { + "epoch": 95.71942446043165, + "grad_norm": 0.3152118921279907, + "learning_rate": 2.1499999999999997e-06, + "loss": 0.3196479606628418, + "step": 6700 + } + ], + "logging_steps": 100, + "max_steps": 7000, + "num_input_tokens_seen": 0, + "num_train_epochs": 100, + "save_steps": 100, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1316990740267008.0, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/training_args.bin b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/training_args.bin new file mode 100644 index 0000000000000000000000000000000000000000..34d68dc0e0fe1c1f12a2e581dd1b166aa7178a9e --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6790/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9e2cd88337d1d846c6918d2b3b63fa3e5c93f12fefc082497590da854a564607 +size 5201 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/config.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/config.json new file mode 100644 index 0000000000000000000000000000000000000000..69b1961f0cbafdc846150e71a2d82b4ce3beb94c --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu_new", + "add_cross_attention": false, + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 5, + "dtype": "float32", + "embd_pdrop": 0.1, + "eos_token_id": 6, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_embd": 768, + "n_head": 12, + "n_inner": null, + "n_layer": 6, + "n_positions": 1024, + "pad_token_id": null, + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "tie_word_embeddings": true, + "transformers_version": "5.5.3", + "use_cache": false, + "vocab_size": 167 +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/generation_config.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..ffe89567780e75b5c22eade9be971483b9618f39 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 5, + "eos_token_id": 6, + "output_attentions": false, + "output_hidden_states": false, + "transformers_version": "5.5.3", + "use_cache": true +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/model.safetensors b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..5558036f90dd9932d74915097bc68a76f92a6dea --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8aed5a57cfa9029848a63c9dc13bbb28de53f79fa53a77fb353108b980be2c29 +size 173781448 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/optimizer.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/optimizer.pt new file mode 100644 index 0000000000000000000000000000000000000000..acb1686d0c959d91ba30eface49dfbf192450bb7 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3fb083e4044f993aa199e9d931343bdcf89f412b0d82b2b0f03a2bebfd15952e +size 347611979 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/rng_state.pth b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/rng_state.pth new file mode 100644 index 0000000000000000000000000000000000000000..bba7fd653e514efd9d53b22c324aabb5e8a72f4c --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bb49e1d0fdac32a9ff2374156499e1309014429587272dd6cf53a373025e6b08 +size 14645 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/scaler.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/scaler.pt new file mode 100644 index 0000000000000000000000000000000000000000..3f3303da1d867db6f340dced04c8a2f4f18cf6b8 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/scaler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fec8adf6dd32f95d0556739e982497aa626085040f80bf9f9f82f94e825c932f +size 1383 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/scheduler.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/scheduler.pt new file mode 100644 index 0000000000000000000000000000000000000000..49c5b5e867e8e2991422630f23f864a112c8d181 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/scheduler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:07e7d0dc2bb34e27a78c9649e6e32ce9ef350a54454a674bfa755cc23f098882 +size 1465 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/trainer_state.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..06c05be8a2053c04aab4a9bc581c60528deea052 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/trainer_state.json @@ -0,0 +1,510 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 97.14388489208633, + "eval_steps": 100, + "global_step": 6800, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 1.4316546762589928, + "grad_norm": 0.355408638715744, + "learning_rate": 4.929285714285715e-05, + "loss": 1.9745016479492188, + "step": 100 + }, + { + "epoch": 2.8633093525179856, + "grad_norm": 0.3432696759700775, + "learning_rate": 4.857857142857143e-05, + "loss": 1.4019232177734375, + "step": 200 + }, + { + "epoch": 4.287769784172662, + "grad_norm": 0.37436360120773315, + "learning_rate": 4.7864285714285714e-05, + "loss": 1.3409852600097656, + "step": 300 + }, + { + "epoch": 5.719424460431655, + "grad_norm": 0.3854033648967743, + "learning_rate": 4.715e-05, + "loss": 1.2996253967285156, + "step": 400 + }, + { + "epoch": 7.143884892086331, + "grad_norm": 0.4203447997570038, + "learning_rate": 4.643571428571429e-05, + "loss": 1.259985122680664, + "step": 500 + }, + { + "epoch": 8.575539568345324, + "grad_norm": 0.4687316417694092, + "learning_rate": 4.5721428571428574e-05, + "loss": 1.2107434844970704, + "step": 600 + }, + { + "epoch": 10.0, + "grad_norm": 0.9186628460884094, + "learning_rate": 4.500714285714286e-05, + "loss": 1.1670813751220703, + "step": 700 + }, + { + "epoch": 11.431654676258994, + "grad_norm": 0.49637436866760254, + "learning_rate": 4.429285714285715e-05, + "loss": 1.1059295654296875, + "step": 800 + }, + { + "epoch": 12.863309352517986, + "grad_norm": 0.5657761096954346, + "learning_rate": 4.357857142857143e-05, + "loss": 1.040764389038086, + "step": 900 + }, + { + "epoch": 14.287769784172662, + "grad_norm": 0.5341610312461853, + "learning_rate": 4.2864285714285715e-05, + "loss": 0.9634710693359375, + "step": 1000 + }, + { + "epoch": 15.719424460431654, + "grad_norm": 0.6149197816848755, + "learning_rate": 4.215e-05, + "loss": 0.88642822265625, + "step": 1100 + }, + { + "epoch": 17.14388489208633, + "grad_norm": 0.5562811493873596, + "learning_rate": 4.143571428571429e-05, + "loss": 0.8134054565429687, + "step": 1200 + }, + { + "epoch": 18.575539568345324, + "grad_norm": 0.572320282459259, + "learning_rate": 4.0721428571428575e-05, + "loss": 0.7409443664550781, + "step": 1300 + }, + { + "epoch": 20.0, + "grad_norm": 1.1183358430862427, + "learning_rate": 4.000714285714286e-05, + "loss": 0.6947654724121094, + "step": 1400 + }, + { + "epoch": 21.431654676258994, + "grad_norm": 0.5899038314819336, + "learning_rate": 3.929285714285714e-05, + "loss": 0.6337775039672852, + "step": 1500 + }, + { + "epoch": 22.863309352517987, + "grad_norm": 0.5425059199333191, + "learning_rate": 3.857857142857143e-05, + "loss": 0.5985966491699218, + "step": 1600 + }, + { + "epoch": 24.28776978417266, + "grad_norm": 0.5404720306396484, + "learning_rate": 3.786428571428572e-05, + "loss": 0.5602037811279297, + "step": 1700 + }, + { + "epoch": 25.719424460431654, + "grad_norm": 0.5059275031089783, + "learning_rate": 3.715e-05, + "loss": 0.5371580123901367, + "step": 1800 + }, + { + "epoch": 27.14388489208633, + "grad_norm": 0.44090911746025085, + "learning_rate": 3.643571428571429e-05, + "loss": 0.5157820892333984, + "step": 1900 + }, + { + "epoch": 28.575539568345324, + "grad_norm": 0.47748005390167236, + "learning_rate": 3.5721428571428575e-05, + "loss": 0.4929149627685547, + "step": 2000 + }, + { + "epoch": 30.0, + "grad_norm": 0.8368889689445496, + "learning_rate": 3.500714285714286e-05, + "loss": 0.4742084503173828, + "step": 2100 + }, + { + "epoch": 31.431654676258994, + "grad_norm": 0.43759119510650635, + "learning_rate": 3.429285714285714e-05, + "loss": 0.4594686508178711, + "step": 2200 + }, + { + "epoch": 32.86330935251799, + "grad_norm": 0.5055125951766968, + "learning_rate": 3.357857142857143e-05, + "loss": 0.44555919647216796, + "step": 2300 + }, + { + "epoch": 34.28776978417266, + "grad_norm": 0.4293630123138428, + "learning_rate": 3.2864285714285715e-05, + "loss": 0.43556678771972657, + "step": 2400 + }, + { + "epoch": 35.719424460431654, + "grad_norm": 0.4206651747226715, + "learning_rate": 3.215e-05, + "loss": 0.42476219177246094, + "step": 2500 + }, + { + "epoch": 37.143884892086334, + "grad_norm": 0.40377891063690186, + "learning_rate": 3.143571428571428e-05, + "loss": 0.41686100006103516, + "step": 2600 + }, + { + "epoch": 38.57553956834532, + "grad_norm": 0.44274216890335083, + "learning_rate": 3.0721428571428576e-05, + "loss": 0.4049409866333008, + "step": 2700 + }, + { + "epoch": 40.0, + "grad_norm": 0.7320085763931274, + "learning_rate": 3.0007142857142856e-05, + "loss": 0.40352741241455076, + "step": 2800 + }, + { + "epoch": 41.431654676258994, + "grad_norm": 0.3710326552391052, + "learning_rate": 2.9292857142857146e-05, + "loss": 0.392877082824707, + "step": 2900 + }, + { + "epoch": 42.86330935251799, + "grad_norm": 0.41697078943252563, + "learning_rate": 2.8578571428571433e-05, + "loss": 0.3891782760620117, + "step": 3000 + }, + { + "epoch": 44.28776978417266, + "grad_norm": 0.3859659433364868, + "learning_rate": 2.7864285714285716e-05, + "loss": 0.3797669982910156, + "step": 3100 + }, + { + "epoch": 45.719424460431654, + "grad_norm": 0.4415609836578369, + "learning_rate": 2.7150000000000003e-05, + "loss": 0.375827751159668, + "step": 3200 + }, + { + "epoch": 47.143884892086334, + "grad_norm": 0.3726028501987457, + "learning_rate": 2.6435714285714286e-05, + "loss": 0.37346839904785156, + "step": 3300 + }, + { + "epoch": 48.57553956834532, + "grad_norm": 0.38533180952072144, + "learning_rate": 2.5721428571428573e-05, + "loss": 0.36665096282958987, + "step": 3400 + }, + { + "epoch": 50.0, + "grad_norm": 0.6937333345413208, + "learning_rate": 2.5007142857142856e-05, + "loss": 0.3679323959350586, + "step": 3500 + }, + { + "epoch": 51.431654676258994, + "grad_norm": 0.3872888386249542, + "learning_rate": 2.4292857142857146e-05, + "loss": 0.3602333068847656, + "step": 3600 + }, + { + "epoch": 52.86330935251799, + "grad_norm": 0.3236874043941498, + "learning_rate": 2.357857142857143e-05, + "loss": 0.3591602325439453, + "step": 3700 + }, + { + "epoch": 54.28776978417266, + "grad_norm": 0.3833729326725006, + "learning_rate": 2.2864285714285716e-05, + "loss": 0.3564492797851562, + "step": 3800 + }, + { + "epoch": 55.719424460431654, + "grad_norm": 0.38681459426879883, + "learning_rate": 2.215e-05, + "loss": 0.35298805236816405, + "step": 3900 + }, + { + "epoch": 57.143884892086334, + "grad_norm": 0.3262157142162323, + "learning_rate": 2.1435714285714286e-05, + "loss": 0.3520388412475586, + "step": 4000 + }, + { + "epoch": 58.57553956834532, + "grad_norm": 0.28272324800491333, + "learning_rate": 2.0721428571428573e-05, + "loss": 0.3480962371826172, + "step": 4100 + }, + { + "epoch": 60.0, + "grad_norm": 0.6237635016441345, + "learning_rate": 2.0007142857142857e-05, + "loss": 0.34799785614013673, + "step": 4200 + }, + { + "epoch": 61.431654676258994, + "grad_norm": 0.28903186321258545, + "learning_rate": 1.9292857142857143e-05, + "loss": 0.3425423049926758, + "step": 4300 + }, + { + "epoch": 62.86330935251799, + "grad_norm": 0.3131926953792572, + "learning_rate": 1.857857142857143e-05, + "loss": 0.3454655456542969, + "step": 4400 + }, + { + "epoch": 64.28776978417267, + "grad_norm": 0.28085246682167053, + "learning_rate": 1.7864285714285713e-05, + "loss": 0.34086563110351564, + "step": 4500 + }, + { + "epoch": 65.71942446043165, + "grad_norm": 0.3234202563762665, + "learning_rate": 1.7150000000000004e-05, + "loss": 0.33850929260253904, + "step": 4600 + }, + { + "epoch": 67.14388489208633, + "grad_norm": 0.25634437799453735, + "learning_rate": 1.6435714285714287e-05, + "loss": 0.3384051132202148, + "step": 4700 + }, + { + "epoch": 68.57553956834532, + "grad_norm": 0.3404187262058258, + "learning_rate": 1.5721428571428574e-05, + "loss": 0.3373231887817383, + "step": 4800 + }, + { + "epoch": 70.0, + "grad_norm": 0.6950141191482544, + "learning_rate": 1.5007142857142859e-05, + "loss": 0.3362230682373047, + "step": 4900 + }, + { + "epoch": 71.43165467625899, + "grad_norm": 0.38788536190986633, + "learning_rate": 1.4292857142857144e-05, + "loss": 0.33364181518554686, + "step": 5000 + }, + { + "epoch": 72.86330935251799, + "grad_norm": 0.26893335580825806, + "learning_rate": 1.3578571428571429e-05, + "loss": 0.33343013763427737, + "step": 5100 + }, + { + "epoch": 74.28776978417267, + "grad_norm": 0.317146360874176, + "learning_rate": 1.2864285714285716e-05, + "loss": 0.33120128631591794, + "step": 5200 + }, + { + "epoch": 75.71942446043165, + "grad_norm": 0.25996723771095276, + "learning_rate": 1.215e-05, + "loss": 0.33197879791259766, + "step": 5300 + }, + { + "epoch": 77.14388489208633, + "grad_norm": 0.2829038202762604, + "learning_rate": 1.1435714285714286e-05, + "loss": 0.3305575942993164, + "step": 5400 + }, + { + "epoch": 78.57553956834532, + "grad_norm": 0.3527142405509949, + "learning_rate": 1.0721428571428572e-05, + "loss": 0.32733917236328125, + "step": 5500 + }, + { + "epoch": 80.0, + "grad_norm": 0.48380932211875916, + "learning_rate": 1.0007142857142857e-05, + "loss": 0.3284780502319336, + "step": 5600 + }, + { + "epoch": 81.43165467625899, + "grad_norm": 0.28093209862709045, + "learning_rate": 9.292857142857144e-06, + "loss": 0.3261085891723633, + "step": 5700 + }, + { + "epoch": 82.86330935251799, + "grad_norm": 0.32190901041030884, + "learning_rate": 8.57857142857143e-06, + "loss": 0.32692623138427734, + "step": 5800 + }, + { + "epoch": 84.28776978417267, + "grad_norm": 0.25844648480415344, + "learning_rate": 7.864285714285714e-06, + "loss": 0.32516582489013673, + "step": 5900 + }, + { + "epoch": 85.71942446043165, + "grad_norm": 0.28139543533325195, + "learning_rate": 7.15e-06, + "loss": 0.3232896423339844, + "step": 6000 + }, + { + "epoch": 87.14388489208633, + "grad_norm": 0.29647108912467957, + "learning_rate": 6.435714285714287e-06, + "loss": 0.32342647552490233, + "step": 6100 + }, + { + "epoch": 88.57553956834532, + "grad_norm": 0.3490413427352905, + "learning_rate": 5.721428571428572e-06, + "loss": 0.3228362274169922, + "step": 6200 + }, + { + "epoch": 90.0, + "grad_norm": 0.716325044631958, + "learning_rate": 5.007142857142858e-06, + "loss": 0.3227589797973633, + "step": 6300 + }, + { + "epoch": 91.43165467625899, + "grad_norm": 0.27956023812294006, + "learning_rate": 4.292857142857143e-06, + "loss": 0.32096038818359374, + "step": 6400 + }, + { + "epoch": 92.86330935251799, + "grad_norm": 0.25956645607948303, + "learning_rate": 3.5785714285714292e-06, + "loss": 0.32137725830078123, + "step": 6500 + }, + { + "epoch": 94.28776978417267, + "grad_norm": 0.2535034120082855, + "learning_rate": 2.8642857142857147e-06, + "loss": 0.31845773696899415, + "step": 6600 + }, + { + "epoch": 95.71942446043165, + "grad_norm": 0.3152118921279907, + "learning_rate": 2.1499999999999997e-06, + "loss": 0.3196479606628418, + "step": 6700 + }, + { + "epoch": 97.14388489208633, + "grad_norm": 0.2890796363353729, + "learning_rate": 1.4357142857142856e-06, + "loss": 0.31787015914916994, + "step": 6800 + } + ], + "logging_steps": 100, + "max_steps": 7000, + "num_input_tokens_seen": 0, + "num_train_epochs": 100, + "save_steps": 100, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1318950465896448.0, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/training_args.bin b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/training_args.bin new file mode 100644 index 0000000000000000000000000000000000000000..34d68dc0e0fe1c1f12a2e581dd1b166aa7178a9e --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6800/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9e2cd88337d1d846c6918d2b3b63fa3e5c93f12fefc082497590da854a564607 +size 5201 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/config.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/config.json new file mode 100644 index 0000000000000000000000000000000000000000..69b1961f0cbafdc846150e71a2d82b4ce3beb94c --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu_new", + "add_cross_attention": false, + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 5, + "dtype": "float32", + "embd_pdrop": 0.1, + "eos_token_id": 6, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_embd": 768, + "n_head": 12, + "n_inner": null, + "n_layer": 6, + "n_positions": 1024, + "pad_token_id": null, + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "tie_word_embeddings": true, + "transformers_version": "5.5.3", + "use_cache": false, + "vocab_size": 167 +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/generation_config.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..ffe89567780e75b5c22eade9be971483b9618f39 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 5, + "eos_token_id": 6, + "output_attentions": false, + "output_hidden_states": false, + "transformers_version": "5.5.3", + "use_cache": true +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/model.safetensors b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..820c3983480cbdbd221a7e05e5cb34d0f5056fdd --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:28f2f7a76b4a660c92d5b808f3b83c52a6c861e9f0bab5acbf00521897649292 +size 173781448 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/optimizer.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/optimizer.pt new file mode 100644 index 0000000000000000000000000000000000000000..c42d5fcd8243348e8b91f9c72b79f9220255e20b --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e309e088a563696ddd858897a2e71e5a08827d77481916a25de554157695e599 +size 347611979 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/rng_state.pth b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/rng_state.pth new file mode 100644 index 0000000000000000000000000000000000000000..34bb5a6e105d24e0c59095df39f38ee0da97766e --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9c5223493a4e5165d3b7f3ecbd86b655b6d83342b368e82a5f1bde11e97c5693 +size 14645 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/scaler.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/scaler.pt new file mode 100644 index 0000000000000000000000000000000000000000..429f8542f9f9f85cf15e749979a7163f21e76708 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/scaler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:94f6d8455dcc1fc44d8f663d345ed0d2382767e7063edd08063eddb0652d4baf +size 1383 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/scheduler.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/scheduler.pt new file mode 100644 index 0000000000000000000000000000000000000000..cb3bf7bb2d844cec40e196f1ac4d160bf2bc267c --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/scheduler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c2badfb537f00437ebbb17cefda7d6dd2e779aa81d99c60b4e372103e6454754 +size 1465 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/trainer_state.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..434e3bf19a101a4c10568eab03d2f17b3dc0b255 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/trainer_state.json @@ -0,0 +1,510 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 98.0, + "eval_steps": 100, + "global_step": 6860, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 1.4316546762589928, + "grad_norm": 0.355408638715744, + "learning_rate": 4.929285714285715e-05, + "loss": 1.9745016479492188, + "step": 100 + }, + { + "epoch": 2.8633093525179856, + "grad_norm": 0.3432696759700775, + "learning_rate": 4.857857142857143e-05, + "loss": 1.4019232177734375, + "step": 200 + }, + { + "epoch": 4.287769784172662, + "grad_norm": 0.37436360120773315, + "learning_rate": 4.7864285714285714e-05, + "loss": 1.3409852600097656, + "step": 300 + }, + { + "epoch": 5.719424460431655, + "grad_norm": 0.3854033648967743, + "learning_rate": 4.715e-05, + "loss": 1.2996253967285156, + "step": 400 + }, + { + "epoch": 7.143884892086331, + "grad_norm": 0.4203447997570038, + "learning_rate": 4.643571428571429e-05, + "loss": 1.259985122680664, + "step": 500 + }, + { + "epoch": 8.575539568345324, + "grad_norm": 0.4687316417694092, + "learning_rate": 4.5721428571428574e-05, + "loss": 1.2107434844970704, + "step": 600 + }, + { + "epoch": 10.0, + "grad_norm": 0.9186628460884094, + "learning_rate": 4.500714285714286e-05, + "loss": 1.1670813751220703, + "step": 700 + }, + { + "epoch": 11.431654676258994, + "grad_norm": 0.49637436866760254, + "learning_rate": 4.429285714285715e-05, + "loss": 1.1059295654296875, + "step": 800 + }, + { + "epoch": 12.863309352517986, + "grad_norm": 0.5657761096954346, + "learning_rate": 4.357857142857143e-05, + "loss": 1.040764389038086, + "step": 900 + }, + { + "epoch": 14.287769784172662, + "grad_norm": 0.5341610312461853, + "learning_rate": 4.2864285714285715e-05, + "loss": 0.9634710693359375, + "step": 1000 + }, + { + "epoch": 15.719424460431654, + "grad_norm": 0.6149197816848755, + "learning_rate": 4.215e-05, + "loss": 0.88642822265625, + "step": 1100 + }, + { + "epoch": 17.14388489208633, + "grad_norm": 0.5562811493873596, + "learning_rate": 4.143571428571429e-05, + "loss": 0.8134054565429687, + "step": 1200 + }, + { + "epoch": 18.575539568345324, + "grad_norm": 0.572320282459259, + "learning_rate": 4.0721428571428575e-05, + "loss": 0.7409443664550781, + "step": 1300 + }, + { + "epoch": 20.0, + "grad_norm": 1.1183358430862427, + "learning_rate": 4.000714285714286e-05, + "loss": 0.6947654724121094, + "step": 1400 + }, + { + "epoch": 21.431654676258994, + "grad_norm": 0.5899038314819336, + "learning_rate": 3.929285714285714e-05, + "loss": 0.6337775039672852, + "step": 1500 + }, + { + "epoch": 22.863309352517987, + "grad_norm": 0.5425059199333191, + "learning_rate": 3.857857142857143e-05, + "loss": 0.5985966491699218, + "step": 1600 + }, + { + "epoch": 24.28776978417266, + "grad_norm": 0.5404720306396484, + "learning_rate": 3.786428571428572e-05, + "loss": 0.5602037811279297, + "step": 1700 + }, + { + "epoch": 25.719424460431654, + "grad_norm": 0.5059275031089783, + "learning_rate": 3.715e-05, + "loss": 0.5371580123901367, + "step": 1800 + }, + { + "epoch": 27.14388489208633, + "grad_norm": 0.44090911746025085, + "learning_rate": 3.643571428571429e-05, + "loss": 0.5157820892333984, + "step": 1900 + }, + { + "epoch": 28.575539568345324, + "grad_norm": 0.47748005390167236, + "learning_rate": 3.5721428571428575e-05, + "loss": 0.4929149627685547, + "step": 2000 + }, + { + "epoch": 30.0, + "grad_norm": 0.8368889689445496, + "learning_rate": 3.500714285714286e-05, + "loss": 0.4742084503173828, + "step": 2100 + }, + { + "epoch": 31.431654676258994, + "grad_norm": 0.43759119510650635, + "learning_rate": 3.429285714285714e-05, + "loss": 0.4594686508178711, + "step": 2200 + }, + { + "epoch": 32.86330935251799, + "grad_norm": 0.5055125951766968, + "learning_rate": 3.357857142857143e-05, + "loss": 0.44555919647216796, + "step": 2300 + }, + { + "epoch": 34.28776978417266, + "grad_norm": 0.4293630123138428, + "learning_rate": 3.2864285714285715e-05, + "loss": 0.43556678771972657, + "step": 2400 + }, + { + "epoch": 35.719424460431654, + "grad_norm": 0.4206651747226715, + "learning_rate": 3.215e-05, + "loss": 0.42476219177246094, + "step": 2500 + }, + { + "epoch": 37.143884892086334, + "grad_norm": 0.40377891063690186, + "learning_rate": 3.143571428571428e-05, + "loss": 0.41686100006103516, + "step": 2600 + }, + { + "epoch": 38.57553956834532, + "grad_norm": 0.44274216890335083, + "learning_rate": 3.0721428571428576e-05, + "loss": 0.4049409866333008, + "step": 2700 + }, + { + "epoch": 40.0, + "grad_norm": 0.7320085763931274, + "learning_rate": 3.0007142857142856e-05, + "loss": 0.40352741241455076, + "step": 2800 + }, + { + "epoch": 41.431654676258994, + "grad_norm": 0.3710326552391052, + "learning_rate": 2.9292857142857146e-05, + "loss": 0.392877082824707, + "step": 2900 + }, + { + "epoch": 42.86330935251799, + "grad_norm": 0.41697078943252563, + "learning_rate": 2.8578571428571433e-05, + "loss": 0.3891782760620117, + "step": 3000 + }, + { + "epoch": 44.28776978417266, + "grad_norm": 0.3859659433364868, + "learning_rate": 2.7864285714285716e-05, + "loss": 0.3797669982910156, + "step": 3100 + }, + { + "epoch": 45.719424460431654, + "grad_norm": 0.4415609836578369, + "learning_rate": 2.7150000000000003e-05, + "loss": 0.375827751159668, + "step": 3200 + }, + { + "epoch": 47.143884892086334, + "grad_norm": 0.3726028501987457, + "learning_rate": 2.6435714285714286e-05, + "loss": 0.37346839904785156, + "step": 3300 + }, + { + "epoch": 48.57553956834532, + "grad_norm": 0.38533180952072144, + "learning_rate": 2.5721428571428573e-05, + "loss": 0.36665096282958987, + "step": 3400 + }, + { + "epoch": 50.0, + "grad_norm": 0.6937333345413208, + "learning_rate": 2.5007142857142856e-05, + "loss": 0.3679323959350586, + "step": 3500 + }, + { + "epoch": 51.431654676258994, + "grad_norm": 0.3872888386249542, + "learning_rate": 2.4292857142857146e-05, + "loss": 0.3602333068847656, + "step": 3600 + }, + { + "epoch": 52.86330935251799, + "grad_norm": 0.3236874043941498, + "learning_rate": 2.357857142857143e-05, + "loss": 0.3591602325439453, + "step": 3700 + }, + { + "epoch": 54.28776978417266, + "grad_norm": 0.3833729326725006, + "learning_rate": 2.2864285714285716e-05, + "loss": 0.3564492797851562, + "step": 3800 + }, + { + "epoch": 55.719424460431654, + "grad_norm": 0.38681459426879883, + "learning_rate": 2.215e-05, + "loss": 0.35298805236816405, + "step": 3900 + }, + { + "epoch": 57.143884892086334, + "grad_norm": 0.3262157142162323, + "learning_rate": 2.1435714285714286e-05, + "loss": 0.3520388412475586, + "step": 4000 + }, + { + "epoch": 58.57553956834532, + "grad_norm": 0.28272324800491333, + "learning_rate": 2.0721428571428573e-05, + "loss": 0.3480962371826172, + "step": 4100 + }, + { + "epoch": 60.0, + "grad_norm": 0.6237635016441345, + "learning_rate": 2.0007142857142857e-05, + "loss": 0.34799785614013673, + "step": 4200 + }, + { + "epoch": 61.431654676258994, + "grad_norm": 0.28903186321258545, + "learning_rate": 1.9292857142857143e-05, + "loss": 0.3425423049926758, + "step": 4300 + }, + { + "epoch": 62.86330935251799, + "grad_norm": 0.3131926953792572, + "learning_rate": 1.857857142857143e-05, + "loss": 0.3454655456542969, + "step": 4400 + }, + { + "epoch": 64.28776978417267, + "grad_norm": 0.28085246682167053, + "learning_rate": 1.7864285714285713e-05, + "loss": 0.34086563110351564, + "step": 4500 + }, + { + "epoch": 65.71942446043165, + "grad_norm": 0.3234202563762665, + "learning_rate": 1.7150000000000004e-05, + "loss": 0.33850929260253904, + "step": 4600 + }, + { + "epoch": 67.14388489208633, + "grad_norm": 0.25634437799453735, + "learning_rate": 1.6435714285714287e-05, + "loss": 0.3384051132202148, + "step": 4700 + }, + { + "epoch": 68.57553956834532, + "grad_norm": 0.3404187262058258, + "learning_rate": 1.5721428571428574e-05, + "loss": 0.3373231887817383, + "step": 4800 + }, + { + "epoch": 70.0, + "grad_norm": 0.6950141191482544, + "learning_rate": 1.5007142857142859e-05, + "loss": 0.3362230682373047, + "step": 4900 + }, + { + "epoch": 71.43165467625899, + "grad_norm": 0.38788536190986633, + "learning_rate": 1.4292857142857144e-05, + "loss": 0.33364181518554686, + "step": 5000 + }, + { + "epoch": 72.86330935251799, + "grad_norm": 0.26893335580825806, + "learning_rate": 1.3578571428571429e-05, + "loss": 0.33343013763427737, + "step": 5100 + }, + { + "epoch": 74.28776978417267, + "grad_norm": 0.317146360874176, + "learning_rate": 1.2864285714285716e-05, + "loss": 0.33120128631591794, + "step": 5200 + }, + { + "epoch": 75.71942446043165, + "grad_norm": 0.25996723771095276, + "learning_rate": 1.215e-05, + "loss": 0.33197879791259766, + "step": 5300 + }, + { + "epoch": 77.14388489208633, + "grad_norm": 0.2829038202762604, + "learning_rate": 1.1435714285714286e-05, + "loss": 0.3305575942993164, + "step": 5400 + }, + { + "epoch": 78.57553956834532, + "grad_norm": 0.3527142405509949, + "learning_rate": 1.0721428571428572e-05, + "loss": 0.32733917236328125, + "step": 5500 + }, + { + "epoch": 80.0, + "grad_norm": 0.48380932211875916, + "learning_rate": 1.0007142857142857e-05, + "loss": 0.3284780502319336, + "step": 5600 + }, + { + "epoch": 81.43165467625899, + "grad_norm": 0.28093209862709045, + "learning_rate": 9.292857142857144e-06, + "loss": 0.3261085891723633, + "step": 5700 + }, + { + "epoch": 82.86330935251799, + "grad_norm": 0.32190901041030884, + "learning_rate": 8.57857142857143e-06, + "loss": 0.32692623138427734, + "step": 5800 + }, + { + "epoch": 84.28776978417267, + "grad_norm": 0.25844648480415344, + "learning_rate": 7.864285714285714e-06, + "loss": 0.32516582489013673, + "step": 5900 + }, + { + "epoch": 85.71942446043165, + "grad_norm": 0.28139543533325195, + "learning_rate": 7.15e-06, + "loss": 0.3232896423339844, + "step": 6000 + }, + { + "epoch": 87.14388489208633, + "grad_norm": 0.29647108912467957, + "learning_rate": 6.435714285714287e-06, + "loss": 0.32342647552490233, + "step": 6100 + }, + { + "epoch": 88.57553956834532, + "grad_norm": 0.3490413427352905, + "learning_rate": 5.721428571428572e-06, + "loss": 0.3228362274169922, + "step": 6200 + }, + { + "epoch": 90.0, + "grad_norm": 0.716325044631958, + "learning_rate": 5.007142857142858e-06, + "loss": 0.3227589797973633, + "step": 6300 + }, + { + "epoch": 91.43165467625899, + "grad_norm": 0.27956023812294006, + "learning_rate": 4.292857142857143e-06, + "loss": 0.32096038818359374, + "step": 6400 + }, + { + "epoch": 92.86330935251799, + "grad_norm": 0.25956645607948303, + "learning_rate": 3.5785714285714292e-06, + "loss": 0.32137725830078123, + "step": 6500 + }, + { + "epoch": 94.28776978417267, + "grad_norm": 0.2535034120082855, + "learning_rate": 2.8642857142857147e-06, + "loss": 0.31845773696899415, + "step": 6600 + }, + { + "epoch": 95.71942446043165, + "grad_norm": 0.3152118921279907, + "learning_rate": 2.1499999999999997e-06, + "loss": 0.3196479606628418, + "step": 6700 + }, + { + "epoch": 97.14388489208633, + "grad_norm": 0.2890796363353729, + "learning_rate": 1.4357142857142856e-06, + "loss": 0.31787015914916994, + "step": 6800 + } + ], + "logging_steps": 100, + "max_steps": 7000, + "num_input_tokens_seen": 0, + "num_train_epochs": 100, + "save_steps": 100, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1330567964393472.0, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/training_args.bin b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/training_args.bin new file mode 100644 index 0000000000000000000000000000000000000000..34d68dc0e0fe1c1f12a2e581dd1b166aa7178a9e --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6860/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9e2cd88337d1d846c6918d2b3b63fa3e5c93f12fefc082497590da854a564607 +size 5201 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/config.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/config.json new file mode 100644 index 0000000000000000000000000000000000000000..69b1961f0cbafdc846150e71a2d82b4ce3beb94c --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu_new", + "add_cross_attention": false, + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 5, + "dtype": "float32", + "embd_pdrop": 0.1, + "eos_token_id": 6, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_embd": 768, + "n_head": 12, + "n_inner": null, + "n_layer": 6, + "n_positions": 1024, + "pad_token_id": null, + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "tie_word_embeddings": true, + "transformers_version": "5.5.3", + "use_cache": false, + "vocab_size": 167 +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/generation_config.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..ffe89567780e75b5c22eade9be971483b9618f39 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 5, + "eos_token_id": 6, + "output_attentions": false, + "output_hidden_states": false, + "transformers_version": "5.5.3", + "use_cache": true +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/model.safetensors b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..ccd0639e74eed588059c885fdee6a042808100b6 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7402e6c6c5b5faf82350b4687bf63d1c1df6f2c5c3c26a6e5e9830d3b2b04c6b +size 173781448 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/optimizer.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/optimizer.pt new file mode 100644 index 0000000000000000000000000000000000000000..ccdca6770fc29f3ee65dd7c0ad1055bd560c88e0 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6a62928c737bc08116d952eb9d736384cd061fe9f4485a205bfc8c3fbd8fcb79 +size 347611979 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/rng_state.pth b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/rng_state.pth new file mode 100644 index 0000000000000000000000000000000000000000..7026121a96476d11eb9e56bba2a3d772d3faf4e0 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a52db3c6e706198d1236b6614c23c143890bf0c5ac7e569c743ef81fc4b1913b +size 14645 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/scaler.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/scaler.pt new file mode 100644 index 0000000000000000000000000000000000000000..b22b1914dbfb583b5a2deff1ab77d77681c82e68 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/scaler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4ffb8fb5b11cd6889e0c0a2a8995390e58f4cc2bf69f1c1002148fd7d9bdfafd +size 1383 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/scheduler.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/scheduler.pt new file mode 100644 index 0000000000000000000000000000000000000000..4137dd17f201d7e14b89bd62623ea6aa85023f0b --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/scheduler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:12072c368c1a29e858b950700c462bd515d08e328e5ebaed43cf1720259ee67e +size 1465 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/trainer_state.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..fc2c386350074f55c0eaa218b34b0ec43a25997c --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/trainer_state.json @@ -0,0 +1,517 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 98.57553956834532, + "eval_steps": 100, + "global_step": 6900, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 1.4316546762589928, + "grad_norm": 0.355408638715744, + "learning_rate": 4.929285714285715e-05, + "loss": 1.9745016479492188, + "step": 100 + }, + { + "epoch": 2.8633093525179856, + "grad_norm": 0.3432696759700775, + "learning_rate": 4.857857142857143e-05, + "loss": 1.4019232177734375, + "step": 200 + }, + { + "epoch": 4.287769784172662, + "grad_norm": 0.37436360120773315, + "learning_rate": 4.7864285714285714e-05, + "loss": 1.3409852600097656, + "step": 300 + }, + { + "epoch": 5.719424460431655, + "grad_norm": 0.3854033648967743, + "learning_rate": 4.715e-05, + "loss": 1.2996253967285156, + "step": 400 + }, + { + "epoch": 7.143884892086331, + "grad_norm": 0.4203447997570038, + "learning_rate": 4.643571428571429e-05, + "loss": 1.259985122680664, + "step": 500 + }, + { + "epoch": 8.575539568345324, + "grad_norm": 0.4687316417694092, + "learning_rate": 4.5721428571428574e-05, + "loss": 1.2107434844970704, + "step": 600 + }, + { + "epoch": 10.0, + "grad_norm": 0.9186628460884094, + "learning_rate": 4.500714285714286e-05, + "loss": 1.1670813751220703, + "step": 700 + }, + { + "epoch": 11.431654676258994, + "grad_norm": 0.49637436866760254, + "learning_rate": 4.429285714285715e-05, + "loss": 1.1059295654296875, + "step": 800 + }, + { + "epoch": 12.863309352517986, + "grad_norm": 0.5657761096954346, + "learning_rate": 4.357857142857143e-05, + "loss": 1.040764389038086, + "step": 900 + }, + { + "epoch": 14.287769784172662, + "grad_norm": 0.5341610312461853, + "learning_rate": 4.2864285714285715e-05, + "loss": 0.9634710693359375, + "step": 1000 + }, + { + "epoch": 15.719424460431654, + "grad_norm": 0.6149197816848755, + "learning_rate": 4.215e-05, + "loss": 0.88642822265625, + "step": 1100 + }, + { + "epoch": 17.14388489208633, + "grad_norm": 0.5562811493873596, + "learning_rate": 4.143571428571429e-05, + "loss": 0.8134054565429687, + "step": 1200 + }, + { + "epoch": 18.575539568345324, + "grad_norm": 0.572320282459259, + "learning_rate": 4.0721428571428575e-05, + "loss": 0.7409443664550781, + "step": 1300 + }, + { + "epoch": 20.0, + "grad_norm": 1.1183358430862427, + "learning_rate": 4.000714285714286e-05, + "loss": 0.6947654724121094, + "step": 1400 + }, + { + "epoch": 21.431654676258994, + "grad_norm": 0.5899038314819336, + "learning_rate": 3.929285714285714e-05, + "loss": 0.6337775039672852, + "step": 1500 + }, + { + "epoch": 22.863309352517987, + "grad_norm": 0.5425059199333191, + "learning_rate": 3.857857142857143e-05, + "loss": 0.5985966491699218, + "step": 1600 + }, + { + "epoch": 24.28776978417266, + "grad_norm": 0.5404720306396484, + "learning_rate": 3.786428571428572e-05, + "loss": 0.5602037811279297, + "step": 1700 + }, + { + "epoch": 25.719424460431654, + "grad_norm": 0.5059275031089783, + "learning_rate": 3.715e-05, + "loss": 0.5371580123901367, + "step": 1800 + }, + { + "epoch": 27.14388489208633, + "grad_norm": 0.44090911746025085, + "learning_rate": 3.643571428571429e-05, + "loss": 0.5157820892333984, + "step": 1900 + }, + { + "epoch": 28.575539568345324, + "grad_norm": 0.47748005390167236, + "learning_rate": 3.5721428571428575e-05, + "loss": 0.4929149627685547, + "step": 2000 + }, + { + "epoch": 30.0, + "grad_norm": 0.8368889689445496, + "learning_rate": 3.500714285714286e-05, + "loss": 0.4742084503173828, + "step": 2100 + }, + { + "epoch": 31.431654676258994, + "grad_norm": 0.43759119510650635, + "learning_rate": 3.429285714285714e-05, + "loss": 0.4594686508178711, + "step": 2200 + }, + { + "epoch": 32.86330935251799, + "grad_norm": 0.5055125951766968, + "learning_rate": 3.357857142857143e-05, + "loss": 0.44555919647216796, + "step": 2300 + }, + { + "epoch": 34.28776978417266, + "grad_norm": 0.4293630123138428, + "learning_rate": 3.2864285714285715e-05, + "loss": 0.43556678771972657, + "step": 2400 + }, + { + "epoch": 35.719424460431654, + "grad_norm": 0.4206651747226715, + "learning_rate": 3.215e-05, + "loss": 0.42476219177246094, + "step": 2500 + }, + { + "epoch": 37.143884892086334, + "grad_norm": 0.40377891063690186, + "learning_rate": 3.143571428571428e-05, + "loss": 0.41686100006103516, + "step": 2600 + }, + { + "epoch": 38.57553956834532, + "grad_norm": 0.44274216890335083, + "learning_rate": 3.0721428571428576e-05, + "loss": 0.4049409866333008, + "step": 2700 + }, + { + "epoch": 40.0, + "grad_norm": 0.7320085763931274, + "learning_rate": 3.0007142857142856e-05, + "loss": 0.40352741241455076, + "step": 2800 + }, + { + "epoch": 41.431654676258994, + "grad_norm": 0.3710326552391052, + "learning_rate": 2.9292857142857146e-05, + "loss": 0.392877082824707, + "step": 2900 + }, + { + "epoch": 42.86330935251799, + "grad_norm": 0.41697078943252563, + "learning_rate": 2.8578571428571433e-05, + "loss": 0.3891782760620117, + "step": 3000 + }, + { + "epoch": 44.28776978417266, + "grad_norm": 0.3859659433364868, + "learning_rate": 2.7864285714285716e-05, + "loss": 0.3797669982910156, + "step": 3100 + }, + { + "epoch": 45.719424460431654, + "grad_norm": 0.4415609836578369, + "learning_rate": 2.7150000000000003e-05, + "loss": 0.375827751159668, + "step": 3200 + }, + { + "epoch": 47.143884892086334, + "grad_norm": 0.3726028501987457, + "learning_rate": 2.6435714285714286e-05, + "loss": 0.37346839904785156, + "step": 3300 + }, + { + "epoch": 48.57553956834532, + "grad_norm": 0.38533180952072144, + "learning_rate": 2.5721428571428573e-05, + "loss": 0.36665096282958987, + "step": 3400 + }, + { + "epoch": 50.0, + "grad_norm": 0.6937333345413208, + "learning_rate": 2.5007142857142856e-05, + "loss": 0.3679323959350586, + "step": 3500 + }, + { + "epoch": 51.431654676258994, + "grad_norm": 0.3872888386249542, + "learning_rate": 2.4292857142857146e-05, + "loss": 0.3602333068847656, + "step": 3600 + }, + { + "epoch": 52.86330935251799, + "grad_norm": 0.3236874043941498, + "learning_rate": 2.357857142857143e-05, + "loss": 0.3591602325439453, + "step": 3700 + }, + { + "epoch": 54.28776978417266, + "grad_norm": 0.3833729326725006, + "learning_rate": 2.2864285714285716e-05, + "loss": 0.3564492797851562, + "step": 3800 + }, + { + "epoch": 55.719424460431654, + "grad_norm": 0.38681459426879883, + "learning_rate": 2.215e-05, + "loss": 0.35298805236816405, + "step": 3900 + }, + { + "epoch": 57.143884892086334, + "grad_norm": 0.3262157142162323, + "learning_rate": 2.1435714285714286e-05, + "loss": 0.3520388412475586, + "step": 4000 + }, + { + "epoch": 58.57553956834532, + "grad_norm": 0.28272324800491333, + "learning_rate": 2.0721428571428573e-05, + "loss": 0.3480962371826172, + "step": 4100 + }, + { + "epoch": 60.0, + "grad_norm": 0.6237635016441345, + "learning_rate": 2.0007142857142857e-05, + "loss": 0.34799785614013673, + "step": 4200 + }, + { + "epoch": 61.431654676258994, + "grad_norm": 0.28903186321258545, + "learning_rate": 1.9292857142857143e-05, + "loss": 0.3425423049926758, + "step": 4300 + }, + { + "epoch": 62.86330935251799, + "grad_norm": 0.3131926953792572, + "learning_rate": 1.857857142857143e-05, + "loss": 0.3454655456542969, + "step": 4400 + }, + { + "epoch": 64.28776978417267, + "grad_norm": 0.28085246682167053, + "learning_rate": 1.7864285714285713e-05, + "loss": 0.34086563110351564, + "step": 4500 + }, + { + "epoch": 65.71942446043165, + "grad_norm": 0.3234202563762665, + "learning_rate": 1.7150000000000004e-05, + "loss": 0.33850929260253904, + "step": 4600 + }, + { + "epoch": 67.14388489208633, + "grad_norm": 0.25634437799453735, + "learning_rate": 1.6435714285714287e-05, + "loss": 0.3384051132202148, + "step": 4700 + }, + { + "epoch": 68.57553956834532, + "grad_norm": 0.3404187262058258, + "learning_rate": 1.5721428571428574e-05, + "loss": 0.3373231887817383, + "step": 4800 + }, + { + "epoch": 70.0, + "grad_norm": 0.6950141191482544, + "learning_rate": 1.5007142857142859e-05, + "loss": 0.3362230682373047, + "step": 4900 + }, + { + "epoch": 71.43165467625899, + "grad_norm": 0.38788536190986633, + "learning_rate": 1.4292857142857144e-05, + "loss": 0.33364181518554686, + "step": 5000 + }, + { + "epoch": 72.86330935251799, + "grad_norm": 0.26893335580825806, + "learning_rate": 1.3578571428571429e-05, + "loss": 0.33343013763427737, + "step": 5100 + }, + { + "epoch": 74.28776978417267, + "grad_norm": 0.317146360874176, + "learning_rate": 1.2864285714285716e-05, + "loss": 0.33120128631591794, + "step": 5200 + }, + { + "epoch": 75.71942446043165, + "grad_norm": 0.25996723771095276, + "learning_rate": 1.215e-05, + "loss": 0.33197879791259766, + "step": 5300 + }, + { + "epoch": 77.14388489208633, + "grad_norm": 0.2829038202762604, + "learning_rate": 1.1435714285714286e-05, + "loss": 0.3305575942993164, + "step": 5400 + }, + { + "epoch": 78.57553956834532, + "grad_norm": 0.3527142405509949, + "learning_rate": 1.0721428571428572e-05, + "loss": 0.32733917236328125, + "step": 5500 + }, + { + "epoch": 80.0, + "grad_norm": 0.48380932211875916, + "learning_rate": 1.0007142857142857e-05, + "loss": 0.3284780502319336, + "step": 5600 + }, + { + "epoch": 81.43165467625899, + "grad_norm": 0.28093209862709045, + "learning_rate": 9.292857142857144e-06, + "loss": 0.3261085891723633, + "step": 5700 + }, + { + "epoch": 82.86330935251799, + "grad_norm": 0.32190901041030884, + "learning_rate": 8.57857142857143e-06, + "loss": 0.32692623138427734, + "step": 5800 + }, + { + "epoch": 84.28776978417267, + "grad_norm": 0.25844648480415344, + "learning_rate": 7.864285714285714e-06, + "loss": 0.32516582489013673, + "step": 5900 + }, + { + "epoch": 85.71942446043165, + "grad_norm": 0.28139543533325195, + "learning_rate": 7.15e-06, + "loss": 0.3232896423339844, + "step": 6000 + }, + { + "epoch": 87.14388489208633, + "grad_norm": 0.29647108912467957, + "learning_rate": 6.435714285714287e-06, + "loss": 0.32342647552490233, + "step": 6100 + }, + { + "epoch": 88.57553956834532, + "grad_norm": 0.3490413427352905, + "learning_rate": 5.721428571428572e-06, + "loss": 0.3228362274169922, + "step": 6200 + }, + { + "epoch": 90.0, + "grad_norm": 0.716325044631958, + "learning_rate": 5.007142857142858e-06, + "loss": 0.3227589797973633, + "step": 6300 + }, + { + "epoch": 91.43165467625899, + "grad_norm": 0.27956023812294006, + "learning_rate": 4.292857142857143e-06, + "loss": 0.32096038818359374, + "step": 6400 + }, + { + "epoch": 92.86330935251799, + "grad_norm": 0.25956645607948303, + "learning_rate": 3.5785714285714292e-06, + "loss": 0.32137725830078123, + "step": 6500 + }, + { + "epoch": 94.28776978417267, + "grad_norm": 0.2535034120082855, + "learning_rate": 2.8642857142857147e-06, + "loss": 0.31845773696899415, + "step": 6600 + }, + { + "epoch": 95.71942446043165, + "grad_norm": 0.3152118921279907, + "learning_rate": 2.1499999999999997e-06, + "loss": 0.3196479606628418, + "step": 6700 + }, + { + "epoch": 97.14388489208633, + "grad_norm": 0.2890796363353729, + "learning_rate": 1.4357142857142856e-06, + "loss": 0.31787015914916994, + "step": 6800 + }, + { + "epoch": 98.57553956834532, + "grad_norm": 0.2547329366207123, + "learning_rate": 7.214285714285714e-07, + "loss": 0.3171095275878906, + "step": 6900 + } + ], + "logging_steps": 100, + "max_steps": 7000, + "num_input_tokens_seen": 0, + "num_train_epochs": 100, + "save_steps": 100, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1338406866911232.0, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/training_args.bin b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/training_args.bin new file mode 100644 index 0000000000000000000000000000000000000000..34d68dc0e0fe1c1f12a2e581dd1b166aa7178a9e --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6900/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9e2cd88337d1d846c6918d2b3b63fa3e5c93f12fefc082497590da854a564607 +size 5201 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/config.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/config.json new file mode 100644 index 0000000000000000000000000000000000000000..69b1961f0cbafdc846150e71a2d82b4ce3beb94c --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu_new", + "add_cross_attention": false, + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 5, + "dtype": "float32", + "embd_pdrop": 0.1, + "eos_token_id": 6, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_embd": 768, + "n_head": 12, + "n_inner": null, + "n_layer": 6, + "n_positions": 1024, + "pad_token_id": null, + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "tie_word_embeddings": true, + "transformers_version": "5.5.3", + "use_cache": false, + "vocab_size": 167 +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/generation_config.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..ffe89567780e75b5c22eade9be971483b9618f39 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 5, + "eos_token_id": 6, + "output_attentions": false, + "output_hidden_states": false, + "transformers_version": "5.5.3", + "use_cache": true +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/model.safetensors b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..f599729006e9619a3c2a43e2e95adee778e5f157 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:906f8d95544b40f41a5e709a1b3a9ba6089a6e43a0b4cbf1358a80f940249232 +size 173781448 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/optimizer.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/optimizer.pt new file mode 100644 index 0000000000000000000000000000000000000000..53fb7dc03862bfc7fbf4e07aa64bdaaa2f09af1a --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8e9f1e0081ec9ba7e14133c9750d97d59d7f1286fdbcababf8ba1166eebc4d9b +size 347611979 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/rng_state.pth b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/rng_state.pth new file mode 100644 index 0000000000000000000000000000000000000000..95ec0029ac774471062945329d60a7d9550394b2 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cc324dc3bed523a53af0336f0b4d9586c59e95829ddebc3189c72ad1dd5a3863 +size 14645 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/scaler.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/scaler.pt new file mode 100644 index 0000000000000000000000000000000000000000..0ebf9bc98647409e1f05cf1cc11fef343b9bcdcd --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/scaler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0ffaa8457fea28d38460ea7b8e75d174423b495040439d8f1aca61aa1fe00f12 +size 1383 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/scheduler.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/scheduler.pt new file mode 100644 index 0000000000000000000000000000000000000000..1ac04d59d3b357459fa689077a251fb6aefa1d67 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/scheduler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:673e469b2765d06d5cba7bb00ffca947c5716738b7633d51b89cd62f566fa651 +size 1465 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/trainer_state.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..317d75ae6beb9af6bddc9f9ff8b37735097a1d7d --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/trainer_state.json @@ -0,0 +1,517 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 99.0, + "eval_steps": 100, + "global_step": 6930, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 1.4316546762589928, + "grad_norm": 0.355408638715744, + "learning_rate": 4.929285714285715e-05, + "loss": 1.9745016479492188, + "step": 100 + }, + { + "epoch": 2.8633093525179856, + "grad_norm": 0.3432696759700775, + "learning_rate": 4.857857142857143e-05, + "loss": 1.4019232177734375, + "step": 200 + }, + { + "epoch": 4.287769784172662, + "grad_norm": 0.37436360120773315, + "learning_rate": 4.7864285714285714e-05, + "loss": 1.3409852600097656, + "step": 300 + }, + { + "epoch": 5.719424460431655, + "grad_norm": 0.3854033648967743, + "learning_rate": 4.715e-05, + "loss": 1.2996253967285156, + "step": 400 + }, + { + "epoch": 7.143884892086331, + "grad_norm": 0.4203447997570038, + "learning_rate": 4.643571428571429e-05, + "loss": 1.259985122680664, + "step": 500 + }, + { + "epoch": 8.575539568345324, + "grad_norm": 0.4687316417694092, + "learning_rate": 4.5721428571428574e-05, + "loss": 1.2107434844970704, + "step": 600 + }, + { + "epoch": 10.0, + "grad_norm": 0.9186628460884094, + "learning_rate": 4.500714285714286e-05, + "loss": 1.1670813751220703, + "step": 700 + }, + { + "epoch": 11.431654676258994, + "grad_norm": 0.49637436866760254, + "learning_rate": 4.429285714285715e-05, + "loss": 1.1059295654296875, + "step": 800 + }, + { + "epoch": 12.863309352517986, + "grad_norm": 0.5657761096954346, + "learning_rate": 4.357857142857143e-05, + "loss": 1.040764389038086, + "step": 900 + }, + { + "epoch": 14.287769784172662, + "grad_norm": 0.5341610312461853, + "learning_rate": 4.2864285714285715e-05, + "loss": 0.9634710693359375, + "step": 1000 + }, + { + "epoch": 15.719424460431654, + "grad_norm": 0.6149197816848755, + "learning_rate": 4.215e-05, + "loss": 0.88642822265625, + "step": 1100 + }, + { + "epoch": 17.14388489208633, + "grad_norm": 0.5562811493873596, + "learning_rate": 4.143571428571429e-05, + "loss": 0.8134054565429687, + "step": 1200 + }, + { + "epoch": 18.575539568345324, + "grad_norm": 0.572320282459259, + "learning_rate": 4.0721428571428575e-05, + "loss": 0.7409443664550781, + "step": 1300 + }, + { + "epoch": 20.0, + "grad_norm": 1.1183358430862427, + "learning_rate": 4.000714285714286e-05, + "loss": 0.6947654724121094, + "step": 1400 + }, + { + "epoch": 21.431654676258994, + "grad_norm": 0.5899038314819336, + "learning_rate": 3.929285714285714e-05, + "loss": 0.6337775039672852, + "step": 1500 + }, + { + "epoch": 22.863309352517987, + "grad_norm": 0.5425059199333191, + "learning_rate": 3.857857142857143e-05, + "loss": 0.5985966491699218, + "step": 1600 + }, + { + "epoch": 24.28776978417266, + "grad_norm": 0.5404720306396484, + "learning_rate": 3.786428571428572e-05, + "loss": 0.5602037811279297, + "step": 1700 + }, + { + "epoch": 25.719424460431654, + "grad_norm": 0.5059275031089783, + "learning_rate": 3.715e-05, + "loss": 0.5371580123901367, + "step": 1800 + }, + { + "epoch": 27.14388489208633, + "grad_norm": 0.44090911746025085, + "learning_rate": 3.643571428571429e-05, + "loss": 0.5157820892333984, + "step": 1900 + }, + { + "epoch": 28.575539568345324, + "grad_norm": 0.47748005390167236, + "learning_rate": 3.5721428571428575e-05, + "loss": 0.4929149627685547, + "step": 2000 + }, + { + "epoch": 30.0, + "grad_norm": 0.8368889689445496, + "learning_rate": 3.500714285714286e-05, + "loss": 0.4742084503173828, + "step": 2100 + }, + { + "epoch": 31.431654676258994, + "grad_norm": 0.43759119510650635, + "learning_rate": 3.429285714285714e-05, + "loss": 0.4594686508178711, + "step": 2200 + }, + { + "epoch": 32.86330935251799, + "grad_norm": 0.5055125951766968, + "learning_rate": 3.357857142857143e-05, + "loss": 0.44555919647216796, + "step": 2300 + }, + { + "epoch": 34.28776978417266, + "grad_norm": 0.4293630123138428, + "learning_rate": 3.2864285714285715e-05, + "loss": 0.43556678771972657, + "step": 2400 + }, + { + "epoch": 35.719424460431654, + "grad_norm": 0.4206651747226715, + "learning_rate": 3.215e-05, + "loss": 0.42476219177246094, + "step": 2500 + }, + { + "epoch": 37.143884892086334, + "grad_norm": 0.40377891063690186, + "learning_rate": 3.143571428571428e-05, + "loss": 0.41686100006103516, + "step": 2600 + }, + { + "epoch": 38.57553956834532, + "grad_norm": 0.44274216890335083, + "learning_rate": 3.0721428571428576e-05, + "loss": 0.4049409866333008, + "step": 2700 + }, + { + "epoch": 40.0, + "grad_norm": 0.7320085763931274, + "learning_rate": 3.0007142857142856e-05, + "loss": 0.40352741241455076, + "step": 2800 + }, + { + "epoch": 41.431654676258994, + "grad_norm": 0.3710326552391052, + "learning_rate": 2.9292857142857146e-05, + "loss": 0.392877082824707, + "step": 2900 + }, + { + "epoch": 42.86330935251799, + "grad_norm": 0.41697078943252563, + "learning_rate": 2.8578571428571433e-05, + "loss": 0.3891782760620117, + "step": 3000 + }, + { + "epoch": 44.28776978417266, + "grad_norm": 0.3859659433364868, + "learning_rate": 2.7864285714285716e-05, + "loss": 0.3797669982910156, + "step": 3100 + }, + { + "epoch": 45.719424460431654, + "grad_norm": 0.4415609836578369, + "learning_rate": 2.7150000000000003e-05, + "loss": 0.375827751159668, + "step": 3200 + }, + { + "epoch": 47.143884892086334, + "grad_norm": 0.3726028501987457, + "learning_rate": 2.6435714285714286e-05, + "loss": 0.37346839904785156, + "step": 3300 + }, + { + "epoch": 48.57553956834532, + "grad_norm": 0.38533180952072144, + "learning_rate": 2.5721428571428573e-05, + "loss": 0.36665096282958987, + "step": 3400 + }, + { + "epoch": 50.0, + "grad_norm": 0.6937333345413208, + "learning_rate": 2.5007142857142856e-05, + "loss": 0.3679323959350586, + "step": 3500 + }, + { + "epoch": 51.431654676258994, + "grad_norm": 0.3872888386249542, + "learning_rate": 2.4292857142857146e-05, + "loss": 0.3602333068847656, + "step": 3600 + }, + { + "epoch": 52.86330935251799, + "grad_norm": 0.3236874043941498, + "learning_rate": 2.357857142857143e-05, + "loss": 0.3591602325439453, + "step": 3700 + }, + { + "epoch": 54.28776978417266, + "grad_norm": 0.3833729326725006, + "learning_rate": 2.2864285714285716e-05, + "loss": 0.3564492797851562, + "step": 3800 + }, + { + "epoch": 55.719424460431654, + "grad_norm": 0.38681459426879883, + "learning_rate": 2.215e-05, + "loss": 0.35298805236816405, + "step": 3900 + }, + { + "epoch": 57.143884892086334, + "grad_norm": 0.3262157142162323, + "learning_rate": 2.1435714285714286e-05, + "loss": 0.3520388412475586, + "step": 4000 + }, + { + "epoch": 58.57553956834532, + "grad_norm": 0.28272324800491333, + "learning_rate": 2.0721428571428573e-05, + "loss": 0.3480962371826172, + "step": 4100 + }, + { + "epoch": 60.0, + "grad_norm": 0.6237635016441345, + "learning_rate": 2.0007142857142857e-05, + "loss": 0.34799785614013673, + "step": 4200 + }, + { + "epoch": 61.431654676258994, + "grad_norm": 0.28903186321258545, + "learning_rate": 1.9292857142857143e-05, + "loss": 0.3425423049926758, + "step": 4300 + }, + { + "epoch": 62.86330935251799, + "grad_norm": 0.3131926953792572, + "learning_rate": 1.857857142857143e-05, + "loss": 0.3454655456542969, + "step": 4400 + }, + { + "epoch": 64.28776978417267, + "grad_norm": 0.28085246682167053, + "learning_rate": 1.7864285714285713e-05, + "loss": 0.34086563110351564, + "step": 4500 + }, + { + "epoch": 65.71942446043165, + "grad_norm": 0.3234202563762665, + "learning_rate": 1.7150000000000004e-05, + "loss": 0.33850929260253904, + "step": 4600 + }, + { + "epoch": 67.14388489208633, + "grad_norm": 0.25634437799453735, + "learning_rate": 1.6435714285714287e-05, + "loss": 0.3384051132202148, + "step": 4700 + }, + { + "epoch": 68.57553956834532, + "grad_norm": 0.3404187262058258, + "learning_rate": 1.5721428571428574e-05, + "loss": 0.3373231887817383, + "step": 4800 + }, + { + "epoch": 70.0, + "grad_norm": 0.6950141191482544, + "learning_rate": 1.5007142857142859e-05, + "loss": 0.3362230682373047, + "step": 4900 + }, + { + "epoch": 71.43165467625899, + "grad_norm": 0.38788536190986633, + "learning_rate": 1.4292857142857144e-05, + "loss": 0.33364181518554686, + "step": 5000 + }, + { + "epoch": 72.86330935251799, + "grad_norm": 0.26893335580825806, + "learning_rate": 1.3578571428571429e-05, + "loss": 0.33343013763427737, + "step": 5100 + }, + { + "epoch": 74.28776978417267, + "grad_norm": 0.317146360874176, + "learning_rate": 1.2864285714285716e-05, + "loss": 0.33120128631591794, + "step": 5200 + }, + { + "epoch": 75.71942446043165, + "grad_norm": 0.25996723771095276, + "learning_rate": 1.215e-05, + "loss": 0.33197879791259766, + "step": 5300 + }, + { + "epoch": 77.14388489208633, + "grad_norm": 0.2829038202762604, + "learning_rate": 1.1435714285714286e-05, + "loss": 0.3305575942993164, + "step": 5400 + }, + { + "epoch": 78.57553956834532, + "grad_norm": 0.3527142405509949, + "learning_rate": 1.0721428571428572e-05, + "loss": 0.32733917236328125, + "step": 5500 + }, + { + "epoch": 80.0, + "grad_norm": 0.48380932211875916, + "learning_rate": 1.0007142857142857e-05, + "loss": 0.3284780502319336, + "step": 5600 + }, + { + "epoch": 81.43165467625899, + "grad_norm": 0.28093209862709045, + "learning_rate": 9.292857142857144e-06, + "loss": 0.3261085891723633, + "step": 5700 + }, + { + "epoch": 82.86330935251799, + "grad_norm": 0.32190901041030884, + "learning_rate": 8.57857142857143e-06, + "loss": 0.32692623138427734, + "step": 5800 + }, + { + "epoch": 84.28776978417267, + "grad_norm": 0.25844648480415344, + "learning_rate": 7.864285714285714e-06, + "loss": 0.32516582489013673, + "step": 5900 + }, + { + "epoch": 85.71942446043165, + "grad_norm": 0.28139543533325195, + "learning_rate": 7.15e-06, + "loss": 0.3232896423339844, + "step": 6000 + }, + { + "epoch": 87.14388489208633, + "grad_norm": 0.29647108912467957, + "learning_rate": 6.435714285714287e-06, + "loss": 0.32342647552490233, + "step": 6100 + }, + { + "epoch": 88.57553956834532, + "grad_norm": 0.3490413427352905, + "learning_rate": 5.721428571428572e-06, + "loss": 0.3228362274169922, + "step": 6200 + }, + { + "epoch": 90.0, + "grad_norm": 0.716325044631958, + "learning_rate": 5.007142857142858e-06, + "loss": 0.3227589797973633, + "step": 6300 + }, + { + "epoch": 91.43165467625899, + "grad_norm": 0.27956023812294006, + "learning_rate": 4.292857142857143e-06, + "loss": 0.32096038818359374, + "step": 6400 + }, + { + "epoch": 92.86330935251799, + "grad_norm": 0.25956645607948303, + "learning_rate": 3.5785714285714292e-06, + "loss": 0.32137725830078123, + "step": 6500 + }, + { + "epoch": 94.28776978417267, + "grad_norm": 0.2535034120082855, + "learning_rate": 2.8642857142857147e-06, + "loss": 0.31845773696899415, + "step": 6600 + }, + { + "epoch": 95.71942446043165, + "grad_norm": 0.3152118921279907, + "learning_rate": 2.1499999999999997e-06, + "loss": 0.3196479606628418, + "step": 6700 + }, + { + "epoch": 97.14388489208633, + "grad_norm": 0.2890796363353729, + "learning_rate": 1.4357142857142856e-06, + "loss": 0.31787015914916994, + "step": 6800 + }, + { + "epoch": 98.57553956834532, + "grad_norm": 0.2547329366207123, + "learning_rate": 7.214285714285714e-07, + "loss": 0.3171095275878906, + "step": 6900 + } + ], + "logging_steps": 100, + "max_steps": 7000, + "num_input_tokens_seen": 0, + "num_train_epochs": 100, + "save_steps": 100, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1344145188519936.0, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/training_args.bin b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/training_args.bin new file mode 100644 index 0000000000000000000000000000000000000000..34d68dc0e0fe1c1f12a2e581dd1b166aa7178a9e --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-6930/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9e2cd88337d1d846c6918d2b3b63fa3e5c93f12fefc082497590da854a564607 +size 5201 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/config.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/config.json new file mode 100644 index 0000000000000000000000000000000000000000..69b1961f0cbafdc846150e71a2d82b4ce3beb94c --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu_new", + "add_cross_attention": false, + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 5, + "dtype": "float32", + "embd_pdrop": 0.1, + "eos_token_id": 6, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_embd": 768, + "n_head": 12, + "n_inner": null, + "n_layer": 6, + "n_positions": 1024, + "pad_token_id": null, + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "tie_word_embeddings": true, + "transformers_version": "5.5.3", + "use_cache": false, + "vocab_size": 167 +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/generation_config.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..ffe89567780e75b5c22eade9be971483b9618f39 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 5, + "eos_token_id": 6, + "output_attentions": false, + "output_hidden_states": false, + "transformers_version": "5.5.3", + "use_cache": true +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/model.safetensors b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..f467e8679fdff66cc446d9b444d53461eaa3d8c1 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ced1da8ed49d7f1db72461c93eb59f82ba36785630b78ef7fe5450053a47d20c +size 173781448 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/optimizer.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/optimizer.pt new file mode 100644 index 0000000000000000000000000000000000000000..4e7da1e0471410b8f3da0dd11f1dc90431549a28 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0e7aa6f9aaed4b80ec913b0aa50a46432cd805cb2fcba347d5d64a1256e0b0e7 +size 347611979 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/rng_state.pth b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/rng_state.pth new file mode 100644 index 0000000000000000000000000000000000000000..57a730344967e4e3bb6f5ab67aac6ff5b9e4fab7 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1b4eb534e081c459531c4bf6924e55176249373e3611f260440c3ba11305a3af +size 14645 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/scaler.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/scaler.pt new file mode 100644 index 0000000000000000000000000000000000000000..a73c6b0883bf57decca93eb22ecc5f881367beb0 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/scaler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be40a03f70bb2a35bb567114fb5ceb05ce1222c8df24b1e1100746c617c5be10 +size 1383 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/scheduler.pt b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/scheduler.pt new file mode 100644 index 0000000000000000000000000000000000000000..554a566bdc17820a8b62c5d72bb37ee3973fcd0c --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/scheduler.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f06f9f9f0ff2472b43e8d9b5a76bfdf3831bc0b3a788f2a460c2ae740d6c20df +size 1465 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/trainer_state.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..4858be1c0e640439d8c6e8ba2b2b04caabfb6ba1 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/trainer_state.json @@ -0,0 +1,524 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 100.0, + "eval_steps": 100, + "global_step": 7000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 1.4316546762589928, + "grad_norm": 0.355408638715744, + "learning_rate": 4.929285714285715e-05, + "loss": 1.9745016479492188, + "step": 100 + }, + { + "epoch": 2.8633093525179856, + "grad_norm": 0.3432696759700775, + "learning_rate": 4.857857142857143e-05, + "loss": 1.4019232177734375, + "step": 200 + }, + { + "epoch": 4.287769784172662, + "grad_norm": 0.37436360120773315, + "learning_rate": 4.7864285714285714e-05, + "loss": 1.3409852600097656, + "step": 300 + }, + { + "epoch": 5.719424460431655, + "grad_norm": 0.3854033648967743, + "learning_rate": 4.715e-05, + "loss": 1.2996253967285156, + "step": 400 + }, + { + "epoch": 7.143884892086331, + "grad_norm": 0.4203447997570038, + "learning_rate": 4.643571428571429e-05, + "loss": 1.259985122680664, + "step": 500 + }, + { + "epoch": 8.575539568345324, + "grad_norm": 0.4687316417694092, + "learning_rate": 4.5721428571428574e-05, + "loss": 1.2107434844970704, + "step": 600 + }, + { + "epoch": 10.0, + "grad_norm": 0.9186628460884094, + "learning_rate": 4.500714285714286e-05, + "loss": 1.1670813751220703, + "step": 700 + }, + { + "epoch": 11.431654676258994, + "grad_norm": 0.49637436866760254, + "learning_rate": 4.429285714285715e-05, + "loss": 1.1059295654296875, + "step": 800 + }, + { + "epoch": 12.863309352517986, + "grad_norm": 0.5657761096954346, + "learning_rate": 4.357857142857143e-05, + "loss": 1.040764389038086, + "step": 900 + }, + { + "epoch": 14.287769784172662, + "grad_norm": 0.5341610312461853, + "learning_rate": 4.2864285714285715e-05, + "loss": 0.9634710693359375, + "step": 1000 + }, + { + "epoch": 15.719424460431654, + "grad_norm": 0.6149197816848755, + "learning_rate": 4.215e-05, + "loss": 0.88642822265625, + "step": 1100 + }, + { + "epoch": 17.14388489208633, + "grad_norm": 0.5562811493873596, + "learning_rate": 4.143571428571429e-05, + "loss": 0.8134054565429687, + "step": 1200 + }, + { + "epoch": 18.575539568345324, + "grad_norm": 0.572320282459259, + "learning_rate": 4.0721428571428575e-05, + "loss": 0.7409443664550781, + "step": 1300 + }, + { + "epoch": 20.0, + "grad_norm": 1.1183358430862427, + "learning_rate": 4.000714285714286e-05, + "loss": 0.6947654724121094, + "step": 1400 + }, + { + "epoch": 21.431654676258994, + "grad_norm": 0.5899038314819336, + "learning_rate": 3.929285714285714e-05, + "loss": 0.6337775039672852, + "step": 1500 + }, + { + "epoch": 22.863309352517987, + "grad_norm": 0.5425059199333191, + "learning_rate": 3.857857142857143e-05, + "loss": 0.5985966491699218, + "step": 1600 + }, + { + "epoch": 24.28776978417266, + "grad_norm": 0.5404720306396484, + "learning_rate": 3.786428571428572e-05, + "loss": 0.5602037811279297, + "step": 1700 + }, + { + "epoch": 25.719424460431654, + "grad_norm": 0.5059275031089783, + "learning_rate": 3.715e-05, + "loss": 0.5371580123901367, + "step": 1800 + }, + { + "epoch": 27.14388489208633, + "grad_norm": 0.44090911746025085, + "learning_rate": 3.643571428571429e-05, + "loss": 0.5157820892333984, + "step": 1900 + }, + { + "epoch": 28.575539568345324, + "grad_norm": 0.47748005390167236, + "learning_rate": 3.5721428571428575e-05, + "loss": 0.4929149627685547, + "step": 2000 + }, + { + "epoch": 30.0, + "grad_norm": 0.8368889689445496, + "learning_rate": 3.500714285714286e-05, + "loss": 0.4742084503173828, + "step": 2100 + }, + { + "epoch": 31.431654676258994, + "grad_norm": 0.43759119510650635, + "learning_rate": 3.429285714285714e-05, + "loss": 0.4594686508178711, + "step": 2200 + }, + { + "epoch": 32.86330935251799, + "grad_norm": 0.5055125951766968, + "learning_rate": 3.357857142857143e-05, + "loss": 0.44555919647216796, + "step": 2300 + }, + { + "epoch": 34.28776978417266, + "grad_norm": 0.4293630123138428, + "learning_rate": 3.2864285714285715e-05, + "loss": 0.43556678771972657, + "step": 2400 + }, + { + "epoch": 35.719424460431654, + "grad_norm": 0.4206651747226715, + "learning_rate": 3.215e-05, + "loss": 0.42476219177246094, + "step": 2500 + }, + { + "epoch": 37.143884892086334, + "grad_norm": 0.40377891063690186, + "learning_rate": 3.143571428571428e-05, + "loss": 0.41686100006103516, + "step": 2600 + }, + { + "epoch": 38.57553956834532, + "grad_norm": 0.44274216890335083, + "learning_rate": 3.0721428571428576e-05, + "loss": 0.4049409866333008, + "step": 2700 + }, + { + "epoch": 40.0, + "grad_norm": 0.7320085763931274, + "learning_rate": 3.0007142857142856e-05, + "loss": 0.40352741241455076, + "step": 2800 + }, + { + "epoch": 41.431654676258994, + "grad_norm": 0.3710326552391052, + "learning_rate": 2.9292857142857146e-05, + "loss": 0.392877082824707, + "step": 2900 + }, + { + "epoch": 42.86330935251799, + "grad_norm": 0.41697078943252563, + "learning_rate": 2.8578571428571433e-05, + "loss": 0.3891782760620117, + "step": 3000 + }, + { + "epoch": 44.28776978417266, + "grad_norm": 0.3859659433364868, + "learning_rate": 2.7864285714285716e-05, + "loss": 0.3797669982910156, + "step": 3100 + }, + { + "epoch": 45.719424460431654, + "grad_norm": 0.4415609836578369, + "learning_rate": 2.7150000000000003e-05, + "loss": 0.375827751159668, + "step": 3200 + }, + { + "epoch": 47.143884892086334, + "grad_norm": 0.3726028501987457, + "learning_rate": 2.6435714285714286e-05, + "loss": 0.37346839904785156, + "step": 3300 + }, + { + "epoch": 48.57553956834532, + "grad_norm": 0.38533180952072144, + "learning_rate": 2.5721428571428573e-05, + "loss": 0.36665096282958987, + "step": 3400 + }, + { + "epoch": 50.0, + "grad_norm": 0.6937333345413208, + "learning_rate": 2.5007142857142856e-05, + "loss": 0.3679323959350586, + "step": 3500 + }, + { + "epoch": 51.431654676258994, + "grad_norm": 0.3872888386249542, + "learning_rate": 2.4292857142857146e-05, + "loss": 0.3602333068847656, + "step": 3600 + }, + { + "epoch": 52.86330935251799, + "grad_norm": 0.3236874043941498, + "learning_rate": 2.357857142857143e-05, + "loss": 0.3591602325439453, + "step": 3700 + }, + { + "epoch": 54.28776978417266, + "grad_norm": 0.3833729326725006, + "learning_rate": 2.2864285714285716e-05, + "loss": 0.3564492797851562, + "step": 3800 + }, + { + "epoch": 55.719424460431654, + "grad_norm": 0.38681459426879883, + "learning_rate": 2.215e-05, + "loss": 0.35298805236816405, + "step": 3900 + }, + { + "epoch": 57.143884892086334, + "grad_norm": 0.3262157142162323, + "learning_rate": 2.1435714285714286e-05, + "loss": 0.3520388412475586, + "step": 4000 + }, + { + "epoch": 58.57553956834532, + "grad_norm": 0.28272324800491333, + "learning_rate": 2.0721428571428573e-05, + "loss": 0.3480962371826172, + "step": 4100 + }, + { + "epoch": 60.0, + "grad_norm": 0.6237635016441345, + "learning_rate": 2.0007142857142857e-05, + "loss": 0.34799785614013673, + "step": 4200 + }, + { + "epoch": 61.431654676258994, + "grad_norm": 0.28903186321258545, + "learning_rate": 1.9292857142857143e-05, + "loss": 0.3425423049926758, + "step": 4300 + }, + { + "epoch": 62.86330935251799, + "grad_norm": 0.3131926953792572, + "learning_rate": 1.857857142857143e-05, + "loss": 0.3454655456542969, + "step": 4400 + }, + { + "epoch": 64.28776978417267, + "grad_norm": 0.28085246682167053, + "learning_rate": 1.7864285714285713e-05, + "loss": 0.34086563110351564, + "step": 4500 + }, + { + "epoch": 65.71942446043165, + "grad_norm": 0.3234202563762665, + "learning_rate": 1.7150000000000004e-05, + "loss": 0.33850929260253904, + "step": 4600 + }, + { + "epoch": 67.14388489208633, + "grad_norm": 0.25634437799453735, + "learning_rate": 1.6435714285714287e-05, + "loss": 0.3384051132202148, + "step": 4700 + }, + { + "epoch": 68.57553956834532, + "grad_norm": 0.3404187262058258, + "learning_rate": 1.5721428571428574e-05, + "loss": 0.3373231887817383, + "step": 4800 + }, + { + "epoch": 70.0, + "grad_norm": 0.6950141191482544, + "learning_rate": 1.5007142857142859e-05, + "loss": 0.3362230682373047, + "step": 4900 + }, + { + "epoch": 71.43165467625899, + "grad_norm": 0.38788536190986633, + "learning_rate": 1.4292857142857144e-05, + "loss": 0.33364181518554686, + "step": 5000 + }, + { + "epoch": 72.86330935251799, + "grad_norm": 0.26893335580825806, + "learning_rate": 1.3578571428571429e-05, + "loss": 0.33343013763427737, + "step": 5100 + }, + { + "epoch": 74.28776978417267, + "grad_norm": 0.317146360874176, + "learning_rate": 1.2864285714285716e-05, + "loss": 0.33120128631591794, + "step": 5200 + }, + { + "epoch": 75.71942446043165, + "grad_norm": 0.25996723771095276, + "learning_rate": 1.215e-05, + "loss": 0.33197879791259766, + "step": 5300 + }, + { + "epoch": 77.14388489208633, + "grad_norm": 0.2829038202762604, + "learning_rate": 1.1435714285714286e-05, + "loss": 0.3305575942993164, + "step": 5400 + }, + { + "epoch": 78.57553956834532, + "grad_norm": 0.3527142405509949, + "learning_rate": 1.0721428571428572e-05, + "loss": 0.32733917236328125, + "step": 5500 + }, + { + "epoch": 80.0, + "grad_norm": 0.48380932211875916, + "learning_rate": 1.0007142857142857e-05, + "loss": 0.3284780502319336, + "step": 5600 + }, + { + "epoch": 81.43165467625899, + "grad_norm": 0.28093209862709045, + "learning_rate": 9.292857142857144e-06, + "loss": 0.3261085891723633, + "step": 5700 + }, + { + "epoch": 82.86330935251799, + "grad_norm": 0.32190901041030884, + "learning_rate": 8.57857142857143e-06, + "loss": 0.32692623138427734, + "step": 5800 + }, + { + "epoch": 84.28776978417267, + "grad_norm": 0.25844648480415344, + "learning_rate": 7.864285714285714e-06, + "loss": 0.32516582489013673, + "step": 5900 + }, + { + "epoch": 85.71942446043165, + "grad_norm": 0.28139543533325195, + "learning_rate": 7.15e-06, + "loss": 0.3232896423339844, + "step": 6000 + }, + { + "epoch": 87.14388489208633, + "grad_norm": 0.29647108912467957, + "learning_rate": 6.435714285714287e-06, + "loss": 0.32342647552490233, + "step": 6100 + }, + { + "epoch": 88.57553956834532, + "grad_norm": 0.3490413427352905, + "learning_rate": 5.721428571428572e-06, + "loss": 0.3228362274169922, + "step": 6200 + }, + { + "epoch": 90.0, + "grad_norm": 0.716325044631958, + "learning_rate": 5.007142857142858e-06, + "loss": 0.3227589797973633, + "step": 6300 + }, + { + "epoch": 91.43165467625899, + "grad_norm": 0.27956023812294006, + "learning_rate": 4.292857142857143e-06, + "loss": 0.32096038818359374, + "step": 6400 + }, + { + "epoch": 92.86330935251799, + "grad_norm": 0.25956645607948303, + "learning_rate": 3.5785714285714292e-06, + "loss": 0.32137725830078123, + "step": 6500 + }, + { + "epoch": 94.28776978417267, + "grad_norm": 0.2535034120082855, + "learning_rate": 2.8642857142857147e-06, + "loss": 0.31845773696899415, + "step": 6600 + }, + { + "epoch": 95.71942446043165, + "grad_norm": 0.3152118921279907, + "learning_rate": 2.1499999999999997e-06, + "loss": 0.3196479606628418, + "step": 6700 + }, + { + "epoch": 97.14388489208633, + "grad_norm": 0.2890796363353729, + "learning_rate": 1.4357142857142856e-06, + "loss": 0.31787015914916994, + "step": 6800 + }, + { + "epoch": 98.57553956834532, + "grad_norm": 0.2547329366207123, + "learning_rate": 7.214285714285714e-07, + "loss": 0.3171095275878906, + "step": 6900 + }, + { + "epoch": 100.0, + "grad_norm": 0.45711931586265564, + "learning_rate": 7.142857142857144e-09, + "loss": 0.3166196060180664, + "step": 7000 + } + ], + "logging_steps": 100, + "max_steps": 7000, + "num_input_tokens_seen": 0, + "num_train_epochs": 100, + "save_steps": 100, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 1357722412646400.0, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/training_args.bin b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/training_args.bin new file mode 100644 index 0000000000000000000000000000000000000000..34d68dc0e0fe1c1f12a2e581dd1b166aa7178a9e --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/rtf_checkpoints/checkpoint-7000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9e2cd88337d1d846c6918d2b3b63fa3e5c93f12fefc082497590da854a564607 +size 5201 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/runtime_result.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..25f6de0731596c9a0c81d54c3b889ce20cf1cd07 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/runtime_result.json @@ -0,0 +1,27 @@ +{ + "dataset_id": "m4", + "model": "realtabformer", + "run_id": "rtf-m4-20260501_033611", + "public_gate_status": "pass", + "adapter_ready_status": "pass", + "train_status": "success", + "generate_status": "success", + "reason_code": null, + "reason_detail": null, + "artifacts": { + "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/rtf-m4-2217-20260501_034506.csv", + "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/models_100epochs" + }, + "timings": { + "train": { + "started_at": "2026-05-01T03:36:11", + "ended_at": "2026-05-01T03:45:06", + "duration_sec": 534.109 + }, + "generate": { + "started_at": "2026-05-01T03:45:06", + "ended_at": "2026-05-01T03:45:21", + "duration_sec": 15.625 + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/public/staged_features.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/public/staged_features.json @@ -0,0 +1,37 @@ +[ + { + "feature_name": "age", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "sex", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "bmi", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "children", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "smoker", + "data_type": "binary", + "is_target": false + }, + { + "feature_name": "region", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "charges", + "data_type": "continuous", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/public/test.csv b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4c541b677fb2d45c5bc79338eeee9fd8c91484b195a0c2c546c2fbabf113b7ea +size 11298 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/public/train.csv b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:614ebfac5f41d6f661aff675fa18c0f933a8d9bcc77ea71b7b2360c2f0155837 +size 90069 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/public/val.csv b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7 +size 11218 diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/realtabformer/adapter_report.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/realtabformer/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..b445ebdebf2aa753c21b4897686760b1fb1c7da7 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/realtabformer/adapter_report.json @@ -0,0 +1,7 @@ +{ + "adapter_ready_status": "pass", + "adapter_fail_reason_code": null, + "adapter_fail_detail": null, + "adapter_transforms_applied": [], + "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/staged/realtabformer/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/realtabformer/adapter_transforms_applied.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/realtabformer/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/realtabformer/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/realtabformer/model_input_manifest.json b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/realtabformer/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e4b1f36314c1b9333e8fc23a286224033a9b8bc5 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/staged/realtabformer/model_input_manifest.json @@ -0,0 +1,154 @@ +{ + "dataset_id": "m4", + "model": "realtabformer", + "target_column": "charges", + "task_type": "regression", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/realtabformer/rtf-m4-20260501_033611/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/train_20260501_033611.log b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/train_20260501_033611.log new file mode 100644 index 0000000000000000000000000000000000000000..de41aa38cc79bb8c5f8b88cd6fb369efea9c40f1 --- /dev/null +++ b/syntheticSuccess/m4/realtabformer/rtf-m4-20260501_033611/train_20260501_033611.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:15e03d697bcd765661b1dca3cee077bb5ebf139d16ceacb85823348d091c5b34 +size 276386 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/_tabdiff_gen.py b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/_tabdiff_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..8558e989d232d1b665a25c80607d47a0ca9a9191 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/_tabdiff_gen.py @@ -0,0 +1,36 @@ + +import os, shutil, subprocess, sys +td = r"/workspace/TabDiff" +name = r"pipeline_m4" +src = r"/work/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4" +dst_data = os.path.join(td, "data", name) +dst_syn = os.path.join(td, "synthetic", name) +shutil.rmtree(dst_data, ignore_errors=True) +shutil.copytree(src, dst_data) +os.makedirs(dst_syn, exist_ok=True) +for fn in ("real.csv", "test.csv", "val.csv"): + shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn)) +os.chdir(td) +os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "") +subprocess.check_call([ + sys.executable, "-m", "tabdiff.main", + "--dataname", name, "--mode", "test", "--gpu", "0", + "--no_wandb", "--exp_name", r"adapter_learnable", + "--ckpt_path", r"/workspace/TabDiff/tabdiff/ckpt/pipeline_m4/adapter_learnable/model_500.pt", + "--num_samples_to_generate", str(int(2217)), +]) +# test() 写入 tabdiff/result////samples.csv +import glob as g +base = os.path.join(td, "tabdiff", "result", name, r"adapter_learnable") +best = None +best_t = -1.0 +for root, _, files in os.walk(base): + if "samples.csv" in files: + p = os.path.join(root, "samples.csv") + t = os.path.getmtime(p) + if t > best_t: + best_t = t + best = p +if not best: + raise SystemExit("tabdiff: no samples.csv under " + base) +shutil.copy(best, r"/work/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/tabdiff-m4-2217-20260501_005309.csv") diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/_tabdiff_train.py b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/_tabdiff_train.py new file mode 100644 index 0000000000000000000000000000000000000000..8a3b26184cee7eed4375238f2069bf1ee6309387 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/_tabdiff_train.py @@ -0,0 +1,21 @@ + +import os, shutil, subprocess, sys +td = r"/workspace/TabDiff" +name = r"pipeline_m4" +src = r"/work/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4" +dst_data = os.path.join(td, "data", name) +dst_syn = os.path.join(td, "synthetic", name) +shutil.rmtree(dst_data, ignore_errors=True) +shutil.copytree(src, dst_data) +os.makedirs(dst_syn, exist_ok=True) +for fn in ("real.csv", "test.csv", "val.csv"): + shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn)) +os.chdir(td) +os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "") +os.environ["TABDIFF_SMOKE_STEPS"] = "500" +os.environ["TABDIFF_ADAPTER_TRAIN"] = "1" +subprocess.check_call([ + sys.executable, "-m", "tabdiff.main", + "--dataname", name, "--mode", "train", "--gpu", "0", + "--no_wandb", "--exp_name", r"adapter_learnable", +]) diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/gen_20260501_005309.log b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/gen_20260501_005309.log new file mode 100644 index 0000000000000000000000000000000000000000..5a690f4fd1c621b3e91540189a5d2933fd62ad29 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/gen_20260501_005309.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d00869193a3d6da4619a20b3b2d02f2071ba38b7cf188eaebfe2e30e8e6f546d +size 4557 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/input_snapshot.json b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..28cd3a4d75d18efdf20f8d2e0b931a2ecdef48e9 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "m4", + "model": "tabdiff", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "exists": true, + "size": 92191, + "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "exists": true, + "size": 11482, + "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv", + "exists": true, + "size": 11559, + "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json", + "exists": true, + "size": 3336, + "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json", + "exists": true, + "size": 3810, + "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/models_tabdiff/trained.pt b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/models_tabdiff/trained.pt new file mode 100644 index 0000000000000000000000000000000000000000..bc319a55a9c7152a1137f968b6fa1c735125ad11 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/models_tabdiff/trained.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:306660b8aad4549267c68390b017e15ddb9bc06a02c80515eb72a97ae31a81eb +size 74 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..31ed9818686b11907df75e872e4ffbe010330880 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,147 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "columns": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/public_gate/public_gate_report.json b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..e7a25408e2574124629ea9437356551e4d6f4790 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "m4", + "status": "pass", + "checks": [ + { + "check_id": "PG001_csv_parse_ok", + "status": "pass" + }, + { + "check_id": "PG002_split_header_consistent", + "status": "pass" + }, + { + "check_id": "PG003_profile_header_match", + "status": "pass" + }, + { + "check_id": "PG004_missing_token_normalized", + "status": "pass" + }, + { + "check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "charges", + "task_type": "regression", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/public_gate/staged_input_manifest.json b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1590344d2101ed87d7b9f7b7941a5c9dacad00a9 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/public_gate/staged_input_manifest.json @@ -0,0 +1,152 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/runtime_result.json b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..fecd6d14a03f134cd87a0ed6540b2e5de75bbd1f --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/runtime_result.json @@ -0,0 +1,27 @@ +{ + "dataset_id": "m4", + "model": "tabdiff", + "run_id": "tabdiff-m4-20260501_004659", + "public_gate_status": "pass", + "adapter_ready_status": "pass", + "train_status": "success", + "generate_status": "success", + "reason_code": null, + "reason_detail": null, + "artifacts": { + "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/tabdiff-m4-2217-20260501_005309.csv", + "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/models_tabdiff/trained.pt" + }, + "timings": { + "train": { + "started_at": "2026-05-01T00:46:59", + "ended_at": "2026-05-01T00:53:09", + "duration_sec": 370.221 + }, + "generate": { + "started_at": "2026-05-01T00:53:09", + "ended_at": "2026-05-01T00:53:19", + "duration_sec": 9.619 + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/staged_features.json b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/staged_features.json @@ -0,0 +1,37 @@ +[ + { + "feature_name": "age", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "sex", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "bmi", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "children", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "smoker", + "data_type": "binary", + "is_target": false + }, + { + "feature_name": "region", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "charges", + "data_type": "continuous", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/test.csv b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4c541b677fb2d45c5bc79338eeee9fd8c91484b195a0c2c546c2fbabf113b7ea +size 11298 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/train.csv b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:614ebfac5f41d6f661aff675fa18c0f933a8d9bcc77ea71b7b2360c2f0155837 +size 90069 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/val.csv b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7 +size 11218 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/tabdiff/adapter_report.json b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/tabdiff/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..1cd46cd61d66224cca45ccbf49334c2e4353e363 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/tabdiff/adapter_report.json @@ -0,0 +1,7 @@ +{ + "adapter_ready_status": "pass", + "adapter_fail_reason_code": null, + "adapter_fail_detail": null, + "adapter_transforms_applied": [], + "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/staged/tabdiff/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/tabdiff/adapter_transforms_applied.json b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/tabdiff/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/tabdiff/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/tabdiff/model_input_manifest.json b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/tabdiff/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..be3c82d65b976bbccf3d93e1e54d5878bd499c85 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/staged/tabdiff/model_input_manifest.json @@ -0,0 +1,154 @@ +{ + "dataset_id": "m4", + "model": "tabdiff", + "target_column": "charges", + "task_type": "regression", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabdiff/tabdiff-m4-20260501_004659/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabdiff-m4-2217-20260501_005309.csv b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabdiff-m4-2217-20260501_005309.csv new file mode 100644 index 0000000000000000000000000000000000000000..96770bb3238156c8f6c0cdc3c3afbb07c6e47f8e --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabdiff-m4-2217-20260501_005309.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:600e619c2913f596c6bbd4037a4f0c7e817babff655bb4204ea365307424261b +size 83526 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabdiff_train_meta.json b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabdiff_train_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..50b960046ba7cb1cf57499cc34e3cd3bf6e9db6e --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabdiff_train_meta.json @@ -0,0 +1,5 @@ +{ + "exp_name": "adapter_learnable", + "dataname": "pipeline_m4", + "steps": 500 +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_cat_test.npy b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_cat_test.npy new file mode 100644 index 0000000000000000000000000000000000000000..2f6b8b23f5768174aab4879e2a30371e9a3d0ead --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_cat_test.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c91af7ac26382e392a70536d3dbb592c04ba5e4f495d1e3c364416b9ef704a07 +size 53336 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_cat_train.npy b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_cat_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..2f6b8b23f5768174aab4879e2a30371e9a3d0ead --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_cat_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c91af7ac26382e392a70536d3dbb592c04ba5e4f495d1e3c364416b9ef704a07 +size 53336 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_cat_val.npy b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_cat_val.npy new file mode 100644 index 0000000000000000000000000000000000000000..2f6b8b23f5768174aab4879e2a30371e9a3d0ead --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_cat_val.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c91af7ac26382e392a70536d3dbb592c04ba5e4f495d1e3c364416b9ef704a07 +size 53336 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_num_test.npy b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_num_test.npy new file mode 100644 index 0000000000000000000000000000000000000000..dc149960a879e21fd1aeed7de2419851175627e7 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_num_test.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a21bd2fd5a226c07d543ddf78616a8edb2d52b51097fc7a5df5b05612267af8 +size 26732 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_num_train.npy b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_num_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..dc149960a879e21fd1aeed7de2419851175627e7 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_num_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a21bd2fd5a226c07d543ddf78616a8edb2d52b51097fc7a5df5b05612267af8 +size 26732 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_num_val.npy b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_num_val.npy new file mode 100644 index 0000000000000000000000000000000000000000..dc149960a879e21fd1aeed7de2419851175627e7 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/X_num_val.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a21bd2fd5a226c07d543ddf78616a8edb2d52b51097fc7a5df5b05612267af8 +size 26732 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/info.json b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/info.json new file mode 100644 index 0000000000000000000000000000000000000000..1ccad8d2dc3c60feacc99d202a75e21be3afa7b5 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/info.json @@ -0,0 +1,92 @@ +{ + "name": "pipeline_m4", + "task_type": "regression", + "n_num_features": 3, + "n_cat_features": 3, + "train_size": 2217, + "test_num": 2217, + "val_num": 2217, + "train_num": 2217, + "bundle_note": "val/test matrices are train copies (train-only policy; no real held-out rows).", + "num_col_idx": [ + 0, + 1, + 2 + ], + "cat_col_idx": [ + 3, + 4, + 5 + ], + "target_col_idx": [ + 6 + ], + "column_names": [ + "age", + "bmi", + "children", + "sex", + "smoker", + "region", + "charges" + ], + "int_col_idx": [], + "int_columns": [], + "int_col_idx_wrt_num": [], + "metadata": { + "columns": { + "0": { + "sdtype": "numerical", + "computer_representation": "Float" + }, + "1": { + "sdtype": "numerical", + "computer_representation": "Float" + }, + "2": { + "sdtype": "numerical", + "computer_representation": "Float" + }, + "3": { + "sdtype": "categorical" + }, + "4": { + "sdtype": "categorical" + }, + "5": { + "sdtype": "categorical" + }, + "6": { + "sdtype": "numerical", + "computer_representation": "Float" + } + } + }, + "idx_mapping": { + "0": 0, + "1": 1, + "2": 2, + "3": 3, + "4": 4, + "5": 5, + "6": 6 + }, + "inverse_idx_mapping": { + "0": 0, + "1": 1, + "2": 2, + "3": 3, + "4": 4, + "5": 5, + "6": 6 + }, + "idx_name_mapping": { + "0": "age", + "1": "bmi", + "2": "children", + "3": "sex", + "4": "smoker", + "5": "region", + "6": "charges" + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/real.csv b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/real.csv new file mode 100644 index 0000000000000000000000000000000000000000..85ff7f4464fa73c1d58767739e7b259f9371a55b --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/real.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e031e2816aa79e4e5fab4c7fe470741eb2d287e493d74b9cfda68441799e07fa +size 60773 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/test.csv b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..85ff7f4464fa73c1d58767739e7b259f9371a55b --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e031e2816aa79e4e5fab4c7fe470741eb2d287e493d74b9cfda68441799e07fa +size 60773 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/val.csv b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..85ff7f4464fa73c1d58767739e7b259f9371a55b --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e031e2816aa79e4e5fab4c7fe470741eb2d287e493d74b9cfda68441799e07fa +size 60773 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/y_test.npy b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/y_test.npy new file mode 100644 index 0000000000000000000000000000000000000000..717f965e62bd5595d6df01d1ad7851fc5768dc29 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/y_test.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0c64fea6ad5ed2f8441ef5212c726195dbf53e1c81298427bddd18eb20e35cf2 +size 8996 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/y_train.npy b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/y_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..717f965e62bd5595d6df01d1ad7851fc5768dc29 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/y_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0c64fea6ad5ed2f8441ef5212c726195dbf53e1c81298427bddd18eb20e35cf2 +size 8996 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/y_val.npy b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/y_val.npy new file mode 100644 index 0000000000000000000000000000000000000000..717f965e62bd5595d6df01d1ad7851fc5768dc29 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/tabular_bundle/pipeline_m4/y_val.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0c64fea6ad5ed2f8441ef5212c726195dbf53e1c81298427bddd18eb20e35cf2 +size 8996 diff --git a/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/train_20260501_004659.log b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/train_20260501_004659.log new file mode 100644 index 0000000000000000000000000000000000000000..ccd8d5f878ad3a19cbb3567447853c0bcf31d2c8 --- /dev/null +++ b/syntheticSuccess/m4/tabdiff/tabdiff-m4-20260501_004659/train_20260501_004659.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a2a12f73486cd9d00b992f6e238a862d617a8acbb201d9e42306dc2cc94aa62c +size 292966 diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/_tabpfgen_generate.py b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/_tabpfgen_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..b849aba2d7577b09e1ec71efab398c568f41bbb7 --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/_tabpfgen_generate.py @@ -0,0 +1,100 @@ +import os +import numpy as np +import pandas as pd +import json +from tabpfgen import TabPFGen + +df = pd.read_csv("/work/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/train.csv") +target_col = "charges" + +target_missing = df[target_col].isna() +if target_missing.any(): + dropped = int(target_missing.sum()) + df = df.loc[~target_missing].copy() + print( + f"[TabPFGen] Dropped {dropped} rows with missing target '{target_col}'" + ) +if df.empty: + raise ValueError( + f"[TabPFGen] No rows remain after dropping missing target '{target_col}'" + ) + +feature_cols = [c for c in df.columns if c != target_col] + +cat_encodings = {} +for col in feature_cols: + if df[col].dtype == object or str(df[col].dtype) == 'category': + cats = sorted(df[col].dropna().unique().tolist(), key=str) + cat_map = {v: i for i, v in enumerate(cats)} + df[col] = df[col].map(cat_map).astype(float) + cat_encodings[col] = cats + print(f"[TabPFGen] Label-encoded '{col}' ({len(cats)} categories)") + +target_cats = None +if df[target_col].dtype == object or str(df[target_col].dtype) == 'category': + cats = sorted(df[target_col].dropna().unique().tolist(), key=str) + t_map = {v: i for i, v in enumerate(cats)} + df[target_col] = df[target_col].map(t_map).astype(float) + target_cats = cats + print(f"[TabPFGen] Label-encoded target '{target_col}' ({len(cats)} categories)") + +X = df[feature_cols].values.astype(np.float32) +y = df[target_col].values +target_n = int(2217) + +for i in range(X.shape[1]): + col_vals = X[:, i] + mask = np.isnan(col_vals) + if mask.any(): + mean_val = np.nanmean(col_vals) + X[mask, i] = mean_val if not np.isnan(mean_val) else 0.0 + +# TabPFGen v0.1.x API：仅支持 n_sgld_steps / sgld_* / device。 +# （旧版脚本中的 energy_*_chunk 与上游 TabPFGen 不一致，会导致 TypeError。） +gen = TabPFGen( + n_sgld_steps=1000, + sgld_step_size=0.01, + sgld_noise_scale=0.01, + device="auto", +) + +print(f"[TabPFGen] Generating {target_n} rows via generate_regression") +X_syn, y_syn = gen.generate_regression(X, y, n_samples=target_n) + +syn_df = pd.DataFrame(X_syn, columns=feature_cols) +syn_df[target_col] = y_syn + +for col, cats in cat_encodings.items(): + codes = np.round(syn_df[col].values).astype(int) + codes = np.clip(codes, 0, len(cats) - 1) + syn_df[col] = [cats[c] for c in codes] + +if target_cats is not None: + codes = np.round(syn_df[target_col].values).astype(int) + codes = np.clip(codes, 0, len(target_cats) - 1) + syn_df[target_col] = [target_cats[c] for c in codes] + +if len(syn_df) > target_n: + print(f"[TabPFGen] Trimming rows: {len(syn_df)} -> {target_n}") + syn_df = syn_df.iloc[:target_n].copy() +elif len(syn_df) < target_n: + deficit = target_n - len(syn_df) + print(f"[TabPFGen] Padding rows: {len(syn_df)} -> {target_n} (deficit={deficit})") + if len(syn_df) > 0: + extra = syn_df.sample(n=deficit, replace=True, random_state=42) + syn_df = pd.concat( + [syn_df.reset_index(drop=True), extra.reset_index(drop=True)], + ignore_index=True, + ) + else: + syn_df = df[feature_cols + [target_col]].sample( + n=target_n, replace=True, random_state=42 + ).reset_index(drop=True) + +syn_df = syn_df[list(df.columns)] +if len(syn_df) != target_n: + raise RuntimeError( + f"[TabPFGen] Row alignment failed: got {len(syn_df)}, expected {target_n}" + ) +syn_df.to_csv("/work/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/tabpfgen-m4-2217-20260501_005403.csv", index=False) +print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/tabpfgen-m4-2217-20260501_005403.csv") diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/gen_20260501_005403.log b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/gen_20260501_005403.log new file mode 100644 index 0000000000000000000000000000000000000000..8dabb9bfeb17f6585cbad340648bc085e92a2a3e --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/gen_20260501_005403.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:96a46fe5ac21305487900ec49903c345aa1a96959e97976873b1b757cf174d2c +size 951 diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/input_snapshot.json b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..0e4ec9d0bc32394ab638c94bcf784b81478f2f39 --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "m4", + "model": "tabpfgen", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "exists": true, + "size": 92191, + "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "exists": true, + "size": 11482, + "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv", + "exists": true, + "size": 11559, + "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json", + "exists": true, + "size": 3336, + "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json", + "exists": true, + "size": 3810, + "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..31ed9818686b11907df75e872e4ffbe010330880 --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,147 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "columns": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/public_gate/public_gate_report.json b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..e7a25408e2574124629ea9437356551e4d6f4790 --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "m4", + "status": "pass", + "checks": [ + { + "check_id": "PG001_csv_parse_ok", + "status": "pass" + }, + { + "check_id": "PG002_split_header_consistent", + "status": "pass" + }, + { + "check_id": "PG003_profile_header_match", + "status": "pass" + }, + { + "check_id": "PG004_missing_token_normalized", + "status": "pass" + }, + { + "check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "charges", + "task_type": "regression", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/public_gate/staged_input_manifest.json b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2f421eb9ce8e3dc6ab98883a4ccc7a24d321d222 --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/public_gate/staged_input_manifest.json @@ -0,0 +1,152 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/runtime_result.json b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..7fae3acd256c90f33b3674e66b3dc94ce875e757 --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/runtime_result.json @@ -0,0 +1,27 @@ +{ + "dataset_id": "m4", + "model": "tabpfgen", + "run_id": "tabpfgen-m4-20260501_005403", + "public_gate_status": "pass", + "adapter_ready_status": "pass", + "train_status": "success", + "generate_status": "success", + "reason_code": null, + "reason_detail": null, + "artifacts": { + "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/tabpfgen-m4-2217-20260501_005403.csv", + "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403" + }, + "timings": { + "train": { + "started_at": "2026-05-01T00:54:03", + "ended_at": "2026-05-01T00:54:03", + "duration_sec": 0.006 + }, + "generate": { + "started_at": "2026-05-01T00:54:03", + "ended_at": "2026-05-01T00:54:23", + "duration_sec": 19.969 + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/staged_features.json b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/staged_features.json @@ -0,0 +1,37 @@ +[ + { + "feature_name": "age", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "sex", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "bmi", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "children", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "smoker", + "data_type": "binary", + "is_target": false + }, + { + "feature_name": "region", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "charges", + "data_type": "continuous", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/test.csv b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8 --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4c541b677fb2d45c5bc79338eeee9fd8c91484b195a0c2c546c2fbabf113b7ea +size 11298 diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/train.csv b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5 --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:614ebfac5f41d6f661aff675fa18c0f933a8d9bcc77ea71b7b2360c2f0155837 +size 90069 diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/val.csv b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708 --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7 +size 11218 diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/tabpfgen/adapter_report.json b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/tabpfgen/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..5bab4b213666513b1d6984199c924b867ba6da62 --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/tabpfgen/adapter_report.json @@ -0,0 +1,7 @@ +{ + "adapter_ready_status": "pass", + "adapter_fail_reason_code": null, + "adapter_fail_detail": null, + "adapter_transforms_applied": [], + "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/tabpfgen/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/tabpfgen/adapter_transforms_applied.json b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/tabpfgen/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/tabpfgen/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/tabpfgen/model_input_manifest.json b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/tabpfgen/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..911959d0545938ed704c81ed6c65d04c5457cc3d --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/tabpfgen/model_input_manifest.json @@ -0,0 +1,154 @@ +{ + "dataset_id": "m4", + "model": "tabpfgen", + "target_column": "charges", + "task_type": "regression", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/tabpfgen-m4-2217-20260501_005403.csv b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/tabpfgen-m4-2217-20260501_005403.csv new file mode 100644 index 0000000000000000000000000000000000000000..892796d4a836fc0927c42a7dd32ff348360a4c67 --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/tabpfgen-m4-2217-20260501_005403.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c3d6014563799a9f3a5e5a61e77d16b4e3516f68004a5bfccafb8d31b382ade8 +size 151515 diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/tabpfgen_meta.json b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/tabpfgen_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..b7d04611615bf3b7afd5f5e71ce493a235046145 --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/tabpfgen_meta.json @@ -0,0 +1,9 @@ +{ + "csv_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/train.csv", + "json_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabpfgen/tabpfgen-m4-20260501_005403/staged/public/staged_features.json", + "target_col": "charges", + "is_classification": false, + "task_type": "regression", + "n_rows": 2217, + "n_cols": 7 +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/train_20260501_005403.log b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/train_20260501_005403.log new file mode 100644 index 0000000000000000000000000000000000000000..2bc33582165aff2ed37bc5f569b0741f3ac7be47 --- /dev/null +++ b/syntheticSuccess/m4/tabpfgen/tabpfgen-m4-20260501_005403/train_20260501_005403.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8cafc6bd1a580da66b0197a0595821f6de2ce962295c27af83354e897305bbcc +size 595 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/_tabsyn_sample.py b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/_tabsyn_sample.py new file mode 100644 index 0000000000000000000000000000000000000000..3446b13345a06b8e796ba47cccc3dae0abca43c8 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/_tabsyn_sample.py @@ -0,0 +1,39 @@ +import os, sys, subprocess + +work_dir = "/work/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118" +dataname = "tabsyn_m4" +output_csv = "/work/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/tabsyn-m4-2217-20260501_004653.csv" +tabsyn_root = "/workspace/tabsyn" + +assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}" + +old = os.environ.get("PYTHONPATH", "") +os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "") +sys.path.insert(0, tabsyn_root) + +os.chdir(tabsyn_root) + +# Ensure data symlink exists +data_link = os.path.join(tabsyn_root, "data", dataname) +data_src = os.path.join(work_dir, "data", dataname) +os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True) +if os.path.exists(data_link): + os.remove(data_link) +os.symlink(data_src, data_link) + +print(f"[TabSyn] Sampling 2217 rows") +env = os.environ.copy() +env.setdefault("TABSYN_RESUME", "1") +ret = subprocess.run( + [sys.executable, "main.py", + "--dataname", dataname, + "--mode", "sample", + "--method", "tabsyn", + "--gpu", "0", + "--save_path", output_csv], + cwd=tabsyn_root, + env=env +) +if ret.returncode != 0: + sys.exit(ret.returncode) +print(f"[TabSyn] Saved -> {output_csv}") diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/_tabsyn_train.py b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/_tabsyn_train.py new file mode 100644 index 0000000000000000000000000000000000000000..4b8ffe2256df09defa4e72d758ca779366cd74d1 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/_tabsyn_train.py @@ -0,0 +1,65 @@ +import os, sys, subprocess + +work_dir = "/work/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118" +dataname = "tabsyn_m4" +tabsyn_root = "/workspace/tabsyn" + +assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}" + +old = os.environ.get("PYTHONPATH", "") +os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "") +sys.path.insert(0, tabsyn_root) + +os.chdir(tabsyn_root) + +# Symlink data dir into TabSyn data/ +data_link = os.path.join(tabsyn_root, "data", dataname) +data_src = os.path.join(work_dir, "data", dataname) +os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True) +if os.path.exists(data_link): + os.remove(data_link) +os.symlink(data_src, data_link) + +env = os.environ.copy() +env.setdefault("TABSYN_RESUME", "1") +env.setdefault("TABSYN_VAE_BATCH_SIZE", "1024") +# Safer defaults for wide tables on Docker: reduce shared-memory pressure in diffusion DataLoader. +env.setdefault("TABSYN_DIFFUSION_NUM_WORKERS", "0") +_te = None +if _te is not None: + env["TABSYN_VAE_EPOCHS"] = str(_te) + env["TABSYN_DIFFUSION_MAX_EPOCHS"] = str(max(_te + 1, 2)) + +# Data preprocessing is done on the host side (_prepare_data_dir) +# which creates .npy files, train/test CSVs, and info.json + +# Step 1: Train VAE (produces latent embeddings) +print(f"[TabSyn] Step 1/2: Training VAE in {tabsyn_root}, dataname={dataname}") +ret = subprocess.run( + [sys.executable, "main.py", + "--dataname", dataname, + "--mode", "train", + "--method", "vae", + "--gpu", "0"], + cwd=tabsyn_root, + env=env +) +if ret.returncode != 0: + print("[TabSyn] VAE training failed") + sys.exit(ret.returncode) + +# Step 2: Train diffusion model on latent space +print(f"[TabSyn] Step 2/2: Training diffusion model") +ret = subprocess.run( + [sys.executable, "main.py", + "--dataname", dataname, + "--mode", "train", + "--method", "tabsyn", + "--gpu", "0"], + cwd=tabsyn_root, + env=env +) +if ret.returncode != 0: + print("[TabSyn] Diffusion training failed") + sys.exit(ret.returncode) +print("[TabSyn] Training complete (VAE + Diffusion)") diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/X_cat_test.npy b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/X_cat_test.npy new file mode 100644 index 0000000000000000000000000000000000000000..35977ccea6d36736d37a5000108e57633f2bb227 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/X_cat_test.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d8893cf5626d7469e90c946b0f59fca148a445e109a27fa5a2acdd425b6bb7d2 +size 53336 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/X_cat_train.npy b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/X_cat_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..35977ccea6d36736d37a5000108e57633f2bb227 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/X_cat_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d8893cf5626d7469e90c946b0f59fca148a445e109a27fa5a2acdd425b6bb7d2 +size 53336 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/X_num_test.npy b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/X_num_test.npy new file mode 100644 index 0000000000000000000000000000000000000000..dc149960a879e21fd1aeed7de2419851175627e7 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/X_num_test.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a21bd2fd5a226c07d543ddf78616a8edb2d52b51097fc7a5df5b05612267af8 +size 26732 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/X_num_train.npy b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/X_num_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..dc149960a879e21fd1aeed7de2419851175627e7 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/X_num_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a21bd2fd5a226c07d543ddf78616a8edb2d52b51097fc7a5df5b05612267af8 +size 26732 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/info.json b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/info.json new file mode 100644 index 0000000000000000000000000000000000000000..a6affaecfbfc8f45e63d3ab86bbffb378c04caa5 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/info.json @@ -0,0 +1,91 @@ +{ + "name": "tabsyn_m4", + "task_type": "regression", + "n_num_features": 3, + "n_cat_features": 3, + "train_size": 2217, + "num_col_idx": [ + 0, + 2, + 3 + ], + "cat_col_idx": [ + 1, + 4, + 5 + ], + "target_col_idx": [ + 6 + ], + "column_names": [ + "age", + "sex", + "bmi", + "children", + "smoker", + "region", + "charges" + ], + "train_num": 2217, + "test_num": 2217, + "header": 0, + "file_type": "csv", + "data_path": "data/tabsyn_m4/train.csv", + "test_path": null, + "idx_mapping": { + "0": 0, + "1": 3, + "2": 1, + "3": 2, + "4": 4, + "5": 5, + "6": 6 + }, + "inverse_idx_mapping": { + "0": 0, + "3": 1, + "1": 2, + "2": 3, + "4": 4, + "5": 5, + "6": 6 + }, + "idx_name_mapping": { + "0": "age", + "1": "sex", + "2": "bmi", + "3": "children", + "4": "smoker", + "5": "region", + "6": "charges" + }, + "metadata": { + "columns": { + "0": { + "sdtype": "numerical", + "computer_representation": "Float" + }, + "2": { + "sdtype": "numerical", + "computer_representation": "Float" + }, + "3": { + "sdtype": "numerical", + "computer_representation": "Float" + }, + "1": { + "sdtype": "categorical" + }, + "4": { + "sdtype": "categorical" + }, + "5": { + "sdtype": "categorical" + }, + "6": { + "sdtype": "numerical", + "computer_representation": "Float" + } + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/test.csv b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..152c9a200d3e5ce590ed1621c80749a36fc97e13 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:67f64f75063e2f8d838d7f7040ebc12f8c46df4dc54450874b851786224ba875 +size 60802 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/train.csv b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..152c9a200d3e5ce590ed1621c80749a36fc97e13 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:67f64f75063e2f8d838d7f7040ebc12f8c46df4dc54450874b851786224ba875 +size 60802 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/y_test.npy b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/y_test.npy new file mode 100644 index 0000000000000000000000000000000000000000..c1d23d8e35b403e2d772e5544af9d68ff32a8ea0 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/y_test.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4d6e4ad93beee28740cc25ee808a180c01fa94a053f79ff383504888f2d8f39e +size 17864 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/y_train.npy b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/y_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..c1d23d8e35b403e2d772e5544af9d68ff32a8ea0 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/data/tabsyn_m4/y_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4d6e4ad93beee28740cc25ee808a180c01fa94a053f79ff383504888f2d8f39e +size 17864 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/gen_20260501_004653.log b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/gen_20260501_004653.log new file mode 100644 index 0000000000000000000000000000000000000000..6d052f7d521e744b02159470dee052bdb17086df --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/gen_20260501_004653.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:af7610447f698cf17d603bce882093da4e5c45e69d1cf8b99faad5f1e536496d +size 930 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/input_snapshot.json b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..21fe15b6e6863f7441ca4017d82218a03e3a90b4 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "m4", + "model": "tabsyn", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "exists": true, + "size": 92191, + "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "exists": true, + "size": 11482, + "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv", + "exists": true, + "size": 11559, + "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json", + "exists": true, + "size": 3336, + "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json", + "exists": true, + "size": 3810, + "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..31ed9818686b11907df75e872e4ffbe010330880 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,147 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "columns": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/public_gate/public_gate_report.json b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..e7a25408e2574124629ea9437356551e4d6f4790 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "m4", + "status": "pass", + "checks": [ + { + "check_id": "PG001_csv_parse_ok", + "status": "pass" + }, + { + "check_id": "PG002_split_header_consistent", + "status": "pass" + }, + { + "check_id": "PG003_profile_header_match", + "status": "pass" + }, + { + "check_id": "PG004_missing_token_normalized", + "status": "pass" + }, + { + "check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "charges", + "task_type": "regression", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/public_gate/staged_input_manifest.json b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b7c70717cfee2c8bde2c692c55e2e2627ed5f184 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/public_gate/staged_input_manifest.json @@ -0,0 +1,152 @@ +{ + "dataset_id": "m4", + "target_column": "charges", + "task_type": "regression", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/runtime_result.json b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..c59eed7391f5f5388a42fa2f69ad176aabab9692 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/runtime_result.json @@ -0,0 +1,27 @@ +{ + "dataset_id": "m4", + "model": "tabsyn", + "run_id": "tabsyn-m4-20260501_002118", + "public_gate_status": "pass", + "adapter_ready_status": "pass", + "train_status": "success", + "generate_status": "success", + "reason_code": null, + "reason_detail": null, + "artifacts": { + "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/tabsyn-m4-2217-20260501_004653.csv", + "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118" + }, + "timings": { + "train": { + "started_at": "2026-05-01T00:21:18", + "ended_at": "2026-05-01T00:46:53", + "duration_sec": 1534.909 + }, + "generate": { + "started_at": "2026-05-01T00:46:53", + "ended_at": "2026-05-01T00:46:58", + "duration_sec": 5.22 + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/staged_features.json b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/staged_features.json @@ -0,0 +1,37 @@ +[ + { + "feature_name": "age", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "sex", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "bmi", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "children", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "smoker", + "data_type": "binary", + "is_target": false + }, + { + "feature_name": "region", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "charges", + "data_type": "continuous", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/test.csv b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4c541b677fb2d45c5bc79338eeee9fd8c91484b195a0c2c546c2fbabf113b7ea +size 11298 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/train.csv b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:614ebfac5f41d6f661aff675fa18c0f933a8d9bcc77ea71b7b2360c2f0155837 +size 90069 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/val.csv b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7 +size 11218 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/tabsyn/adapter_report.json b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/tabsyn/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..abb6db567735b329c272a2186a8c72ae991e057f --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/tabsyn/adapter_report.json @@ -0,0 +1,7 @@ +{ + "adapter_ready_status": "pass", + "adapter_fail_reason_code": null, + "adapter_fail_detail": null, + "adapter_transforms_applied": [], + "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/staged/tabsyn/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/tabsyn/adapter_transforms_applied.json b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/tabsyn/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/tabsyn/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/tabsyn/model_input_manifest.json b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/tabsyn/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1234a03c0f902a27d8b3f09a352a58b6abdb20fc --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/staged/tabsyn/model_input_manifest.json @@ -0,0 +1,154 @@ +{ + "dataset_id": "m4", + "model": "tabsyn", + "target_column": "charges", + "task_type": "regression", + "column_schema": [ + { + "name": "age", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 47, + "unique_ratio": 0.0212, + "example_values": [ + "46", + "38", + "19", + "27", + "26" + ] + } + }, + { + "name": "sex", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "female", + "male" + ] + } + }, + { + "name": "bmi", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 538, + "unique_ratio": 0.24267, + "example_values": [ + "23.655", + "19.3", + "30.59", + "32.67", + "29.45" + ] + } + }, + { + "name": "children", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.002706, + "example_values": [ + "1", + "0", + "3", + "2", + "5" + ] + } + }, + { + "name": "smoker", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000902, + "example_values": [ + "yes", + "no" + ] + } + }, + { + "name": "region", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.001804, + "example_values": [ + "northwest", + "southwest", + "southeast", + "northeast" + ] + } + }, + { + "name": "charges", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1281, + "unique_ratio": 0.577808, + "example_values": [ + "21677.28345", + "15820.699", + "1639.5631", + "2497.0383", + "2897.3235" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/tabsyn/tabsyn-m4-20260501_002118/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/synthetic/tabsyn_m4/real.csv b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/synthetic/tabsyn_m4/real.csv new file mode 100644 index 0000000000000000000000000000000000000000..152c9a200d3e5ce590ed1621c80749a36fc97e13 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/synthetic/tabsyn_m4/real.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:67f64f75063e2f8d838d7f7040ebc12f8c46df4dc54450874b851786224ba875 +size 60802 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/synthetic/tabsyn_m4/test.csv b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/synthetic/tabsyn_m4/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..152c9a200d3e5ce590ed1621c80749a36fc97e13 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/synthetic/tabsyn_m4/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:67f64f75063e2f8d838d7f7040ebc12f8c46df4dc54450874b851786224ba875 +size 60802 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/tabsyn-m4-2217-20260501_004653.csv b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/tabsyn-m4-2217-20260501_004653.csv new file mode 100644 index 0000000000000000000000000000000000000000..01510a48f79cb7f27f544e1e598f4c8cfd4f9be6 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/tabsyn-m4-2217-20260501_004653.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1afabca93cbcc921f9c9f91e395beddcc57c23bb3a012751c4bd2fbb18c4119e +size 83345 diff --git a/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/train_20260501_002118.log b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/train_20260501_002118.log new file mode 100644 index 0000000000000000000000000000000000000000..1c27436cf4bfaa4e9830827e0101afdfb87664a5 --- /dev/null +++ b/syntheticSuccess/m4/tabsyn/tabsyn-m4-20260501_002118/train_20260501_002118.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3c6391abc9ca72c238e7717562f1ed0ee8afb97fbb34f6e20088940e2044c724 +size 2153039