gpt-5.6-sol
nano-gpt-data-curation — graded by the task's verifier against a measured baseline.
- backend
- modal
- variant
- codex azure_ai/gpt-5.6-sol
- metric
- held-out multi-domain perplexity
- actions
- 241
- duration
- 1h 14m
- recorded
- 2026-08-04
run iddclm-nano-curation__V4TWBJJ
Everything gpt-5.6-sol did on this task, in order.
download JSON ↗encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Add File: /workspace/train_diag.py\\n+\\\"\\\"\\\"Local diagnostic clone of the frozen trainer; additionally reports target quarters.\\\"\\\"\\\"\\n+import argparse, math, numpy as np, torch\\n+from model import GPT, GPTConfig\\n+p=argparse.ArgumentParser();p.add_argument('--train_npy');p.add_argument('--heldout_npy');p.add_argument('--seed',type=int,default=1337);a=p.parse_args()\\n+torch.manual_seed(a.seed);np.random.seed(a.seed);dev='cuda'\\n+tr=torch.from_numpy(np.load(a.train_npy).astype(np.int64));ho=torch.from_numpy(np.load(a.heldout_npy).astype(np.int64))\\n+rng=np.random.default_rng(a.seed);block=256;batch=32;lr=6e-4;iters=3000;warm=150\\n+m=GPT(GPTConfig(block_size=block,vocab_size=50257,n_layer=6,n_head=6,n_embd=384,dropout=0.0,bias=False)).to(dev)\\n+opt=m.configure_optimizers(.1,lr,(.9,.95),'cuda')\\n+def lr_at(it):\\n+ if it<warm:return lr*(it+1)/(warm+1)\\n+ r=(it-warm)/(iters-warm);return .1*lr+.5*(1+math.cos(math.pi*r))*(lr-.1*lr)\\n+for it in range(iters):\\n+ for g in opt.param_groups:g['lr']=lr_at(it)\\n+ ix=rng.integers(0,len(tr)-block-1,size=batch)\\n+ x=torch.stack([tr[i:i+block] for i in ix]).to(dev);y=torch.stack([tr[i+1:i+1+block] for i in ix]).to(dev)\\n+ with torch.autocast('cuda',dtype=torch.bfloat16):_,loss=m(x,y)\\n+ opt.zero_grad(set_to_none=True);loss.backward();torch.nn.utils.clip_grad_norm_(m.parameters(),1.0);opt.step()\\n+m.eval()\\n+def evaluate(src):\\n+ n=(len(src)-1)//block; total=0\\n+ with torch.no_grad():\\n+ for i in range(0,n,batch):\\n+ starts=list(range(i,min(i+batch,n)))\\n+ x=torch.stack([src[j*block:j*block+block] for j in starts]).to(dev)\\n+ y=torch.stack([src[j*block+1:j*block+1+block] for j in starts]).to(dev)\\n+ with torch.autocast('cuda',dtype=torch.bfloat16):_,l=m(x,y)\\n+ total+=l.item()*len(starts)\\n+ return total/n\\n+losses=[evaluate(ho[k*250000:(k+1)*250000]) for k in range(4)]\\n+print('LOSSES',' '.join(f'{x:.4f}' for x in losses),'PPLS',' '.join(f'{math.exp(x):.1f}' for x in losses),'TOTAL',math.exp(sum(losses)/4))\\n*** End Patch\";\ntext(await tools.apply_patch(patch));"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python train_diag.py --train_npy /tmp/eq035.npy --heldout_npy data/multi_dev.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000});\ntext(JSON.stringify(r));"
}exec result
Script running with cell ID 34
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "34",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 15.1 seconds
Output:
{"chunk_id":"e631b4","wall_time_seconds":30.001282679,"session_id":62962,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:62962,chars:\"\",yield_time_ms:30000,max_output_tokens:2000});\ntext(JSON.stringify(r));"
}exec result
Script running with cell ID 35
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "35",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 11.9 seconds
Output:
{"chunk_id":"bece9c","wall_time_seconds":27.250766883,"exit_code":0,"original_token_count":22,"output":"LOSSES 6.6786 5.5736 5.7272 5.5492 PPLS 795.2 263.4 307.1 257.0 TOTAL 358.5819047405214\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/fastpack.py\\n@@\\n-out=[]\\n+out=[]; used=0\\n@@\\n for ids in enc:\\n out.extend(ids); out.append(tok.eos_token_id)\\n+ used += 1\\n@@\\n-print('packed',len(out[:BUDGET]),'tokens')\\n+print('packed',len(out[:BUDGET]),'tokens from',used,'documents')\\n*** End Patch\";\ntext(await tools.apply_patch(patch));"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python fastpack.py /tmp/eq0.8.json /tmp/eq08.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000});\ntext(JSON.stringify(r));"
}exec result
Script running with cell ID 37
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "37",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 16.7 seconds
Output:
{"chunk_id":"4fa686","wall_time_seconds":30.00108111,"session_id":39937,"original_token_count":46,"output":"Token indices sequence length is longer than the specified maximum sequence length for this model (1027 > 1024). Running this sequence through the model will result in indexing errors\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:39937,chars:\"\",yield_time_ms:30000,max_output_tokens:2000});\ntext(JSON.stringify(r));"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{"chunk_id":"c90a2f","wall_time_seconds":0.000003876,"exit_code":0,"original_token_count":11,"output":"packed 12000000 tokens from 15589 documents\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python train_diag.py --train_npy /tmp/eq08.npy --heldout_npy data/multi_dev.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000});\ntext(JSON.stringify(r));"
}exec result
Script running with cell ID 39
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "39",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 14.9 seconds
Output:
{"chunk_id":"6a05e6","wall_time_seconds":30.001208815,"session_id":33367,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:33367,chars:\"\",yield_time_ms:30000,max_output_tokens:2000});\ntext(JSON.stringify(r));"
}exec result
Script running with cell ID 40
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "40",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 11.6 seconds
Output:
{"chunk_id":"873440","wall_time_seconds":25.323885625,"exit_code":0,"original_token_count":23,"output":"LOSSES 6.7221 5.5625 5.7425 5.7224 PPLS 830.6 260.5 311.8 305.6 TOTAL 378.93638157922106\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python fastpack.py /tmp/eq0.2.json /tmp/eq02.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000});\ntext(JSON.stringify(r));"
}exec result
Script running with cell ID 41
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "41",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 16.4 seconds
Output:
{"chunk_id":"1aef9b","wall_time_seconds":29.83610686,"exit_code":0,"original_token_count":57,"output":"Token indices sequence length is longer than the specified maximum sequence length for this model (5414 > 1024). Running this sequence through the model will result in indexing errors\npacked 12000000 tokens from 15419 documents\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python train_diag.py --train_npy /tmp/eq02.npy --heldout_npy data/multi_dev.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000});\ntext(JSON.stringify(r));"
}exec result
Script running with cell ID 42
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "42",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 14.7 seconds
Output:
{"chunk_id":"3cbe1f","wall_time_seconds":30.001731293,"session_id":46498,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:46498,chars:\"\",yield_time_ms:30000,max_output_tokens:2000});\ntext(JSON.stringify(r));"
}exec result
Script running with cell ID 43
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "43",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 9.3 seconds
Output:
{"chunk_id":"854b58","wall_time_seconds":26.035251125,"exit_code":0,"original_token_count":23,"output":"LOSSES 6.6674 5.5781 5.7392 5.5030 PPLS 786.3 264.6 310.8 245.4 TOTAL 354.93888148127763\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport numpy as np,json\\nz=np.load('/tmp/pool_scores.npz');s=z['scores'];q=z['quality'];c=z['chars'];nw=z['nwords']\\ndef make(path,qweight,shares,qmin=3.5):\\n v=(nw>=150)&(c>=700)&(c<=30000)&(q>=qmin);ids=np.where(v)[0]\\n ranks=[]\\n for k in range(4):\\n x=s[:,k]+qweight*q;ranks.append(ids[np.argsort(-x[ids])].tolist())\\n pos=[0]*4;cum=[0.0]*4;used=set();out=[]\\n while sum(cum)<40e6:\\n k=min(range(4),key=lambda x:cum[x]/shares[x])\\n while ranks[k][pos[k]] in used:pos[k]+=1\\n i=ranks[k][pos[k]];pos[k]+=1;used.add(i);out.append(int(i));cum[k]+=c[i]/4+1\\n json.dump(out,open(path,'w'));print(path,len(out),cum)\\nmake('/tmp/eq0.json',0,[.25]*4)\\nmake('/tmp/eq01.json',.1,[.25]*4)\\nmake('/tmp/wiki40.json',.2,[.4,.2,.2,.2])\\nmake('/tmp/wiki50.json',.2,[.5,1/6,1/6,1/6])\\nPY\\ncat .timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":3000});\ntext(r.output);"
}exec result
Script completed
Wall time 1.0 seconds
Output:
/tmp/eq0.json 41710 [9998952.25, 9999150.25, 9999063.25, 10002903.0]
/tmp/eq01.json 42054 [9999385.25, 9998808.0, 9999438.0, 10002809.25]
/tmp/wiki40.json 42164 [15998885.5, 8000245.25, 7999747.25, 8001602.25]
/tmp/wiki50.json 42192 [19999117.75, 6667348.25, 6666755.0, 6667130.5]
4289
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python fastpack.py /tmp/eq0.json /tmp/eq0.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000});\ntext(JSON.stringify(r));"
}exec result
Script running with cell ID 45
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "45",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 16.2 seconds
Output:
{"chunk_id":"9b4aca","wall_time_seconds":29.712260063,"exit_code":0,"original_token_count":57,"output":"Token indices sequence length is longer than the specified maximum sequence length for this model (5414 > 1024). Running this sequence through the model will result in indexing errors\npacked 12000000 tokens from 15262 documents\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python train_diag.py --train_npy /tmp/eq0.npy --heldout_npy data/multi_dev.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000});\ntext(JSON.stringify(r));"
}exec result
Script running with cell ID 46
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "46",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 15.9 seconds
Output:
{"chunk_id":"44c3d6","wall_time_seconds":30.001785988,"session_id":22231,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:22231,chars:\"\",yield_time_ms:30000,max_output_tokens:2000});\ntext(JSON.stringify(r));"
}exec result
Script running with cell ID 47
Wall time 11.0 seconds
Output: