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Remove per-epoch train/val CSV files (redundant with cumulative CSVs)

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epoch_000_train.csv and epoch_000_val.csv removed — all data is in
train.csv and val.csv which persist across resume.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
pikaliov
2026-04-22 07:57:37 +03:00
parent 1638b250a4
commit 66c83469ef
1 changed files with 0 additions and 4 deletions
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4
src/training/train_gtauav.py
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@@ -234,8 +234,6 @@ class CSVLogger:
{output_dir}/logs/train.csv — epoch-level train averages {output_dir}/logs/train.csv — epoch-level train averages
{output_dir}/logs/val.csv — epoch-level val metrics {output_dir}/logs/val.csv — epoch-level val metrics
{output_dir}/logs/train_batches.csv — per-batch train metrics (all epochs) {output_dir}/logs/train_batches.csv — per-batch train metrics (all epochs)
{output_dir}/logs/epoch_{N}_train.csv — per-epoch summary
{output_dir}/logs/epoch_{N}_val.csv — per-epoch val
{output_dir}/logs/epoch_{N}_batches.csv — per-batch for single epoch {output_dir}/logs/epoch_{N}_batches.csv — per-batch for single epoch
""" """
@@ -294,7 +292,6 @@ class CSVLogger:
self.train_rows = [r for r in self.train_rows if r.get("epoch") != epoch] self.train_rows = [r for r in self.train_rows if r.get("epoch") != epoch]
self.train_rows.append(row) self.train_rows.append(row)
pd.DataFrame(self.train_rows).to_csv(self.log_dir / "train.csv", index=False) pd.DataFrame(self.train_rows).to_csv(self.log_dir / "train.csv", index=False)
pd.DataFrame([row]).to_csv(self.log_dir / f"epoch_{epoch:03d}_train.csv", index=False)
def log_val(self, epoch: int, metrics: dict) -> None: def log_val(self, epoch: int, metrics: dict) -> None:
"""Log val metrics. Replaces existing entry for same epoch on resume.""" """Log val metrics. Replaces existing entry for same epoch on resume."""
@@ -302,7 +299,6 @@ class CSVLogger:
self.val_rows = [r for r in self.val_rows if r.get("epoch") != epoch] self.val_rows = [r for r in self.val_rows if r.get("epoch") != epoch]
self.val_rows.append(row) self.val_rows.append(row)
pd.DataFrame(self.val_rows).to_csv(self.log_dir / "val.csv", index=False) pd.DataFrame(self.val_rows).to_csv(self.log_dir / "val.csv", index=False)
pd.DataFrame([row]).to_csv(self.log_dir / f"epoch_{epoch:03d}_val.csv", index=False)
def _clear_vram() -> None: def _clear_vram() -> None: