Anima base Nyako LoRA: rank16 alpha16, 150 total epochs (resumed after epoch 50), training artifacts and final resume state

a0912d2 verified 2 days ago

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from pathlib import Path
import re,json
root=Path('/data/nyako-training-150')
print((root/'status.json').read_text() if (root/'status.json').exists() else 'No status')
p=root/'artifacts/logs/train.log'
s=p.read_text(errors='replace') if p.exists() else ''
# Only emit trainer progress/numeric diagnostics, never dataset/caption log lines.
for pattern in [r'\d+%\|[^\r\n]*?(?:loss|avr_loss)[^\r\n]*',r'(?:torch\.[A-Za-z.]*Error|RuntimeError|ValueError|ImportError|ModuleNotFoundError|AssertionError|TypeError):[^\r\n]*',r'epoch \d+/\d+',r'num (?:train images|epochs|batches per epoch)[^\r\n]*']:
 matches=re.findall(pattern,s)
 for m in matches[-3:]: print(m)
print('Log bytes:',p.stat().st_size if p.exists() else 0)
print('Weight checkpoints:',len(list((root/'artifacts/output').glob('*.safetensors'))))

	from pathlib import Path
	import re,json
	root=Path('/data/nyako-training-150')
	print((root/'status.json').read_text() if (root/'status.json').exists() else 'No status')
	p=root/'artifacts/logs/train.log'
	s=p.read_text(errors='replace') if p.exists() else ''
	# Only emit trainer progress/numeric diagnostics, never dataset/caption log lines.
	for pattern in [r'\d+%\\|[^\r\n]?(?:loss\|avr_loss)[^\r\n]',r'(?:torch\.[A-Za-z.]Error\|RuntimeError\|ValueError\|ImportError\|ModuleNotFoundError\|AssertionError\|TypeError):[^\r\n]',r'epoch \d+/\d+',r'num (?:train images\|epochs\|batches per epoch)[^\r\n]*']:
	matches=re.findall(pattern,s)
	for m in matches[-3:]: print(m)
	print('Log bytes:',p.stat().st_size if p.exists() else 0)
	print('Weight checkpoints:',len(list((root/'artifacts/output').glob('*.safetensors'))))