davidheineman commited on
Commit
fc6e93b
·
verified ·
1 Parent(s): e54418b

Archive completed projection-only-v1__32m__partial_gsm8k__pretrained-attention-scaled-projections

Browse files
cases/202f6bc88a76dd3d/projection-only-v1__32m__partial_gsm8k__pretrained-attention-scaled-projections/ancestry.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rl_initializer": "/nlp/scr/dhei/tiny-rl/experiments/refined-math-v1/iterations/projection-only-v1/runs/pretrained-attention-scaled-projections/32m/partial_gsm8k/sft.pt",
3
+ "terminal_sft_weights": "a37df7f3574a399036bfd9c9771a1ea1e1e5e56365bd48c9b33392c95dc75964",
4
+ "full_sft_budget": 2097152,
5
+ "intermediate_checkpoint_selection": false,
6
+ "hint_distribution": "Independent uniform integer 1..16 per query",
7
+ "adaptive_calibration": false,
8
+ "samples_per_query": 32
9
+ }
cases/202f6bc88a76dd3d/projection-only-v1__32m__partial_gsm8k__pretrained-attention-scaled-projections/archive-manifest.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "protocol": "202f6bc88a76dd3d0fe65c94035d02f00a9f8c308a32864f7138a5c8ae8d5709",
3
+ "case": {
4
+ "key": "projection-only-v1__32m__partial_gsm8k__pretrained-attention-scaled-projections",
5
+ "folder": "/nlp/scr/dhei/tiny-rl/experiments/refined-math-v1/iterations/projection-only-v1/runs/pretrained-attention-scaled-projections/32m/partial_gsm8k",
6
+ "reuse": false
7
+ },
8
+ "files": {
9
+ "sft.pt": {
10
+ "size": 128309181,
11
+ "sha256": "a5969e051254e4a2ef78db286d91b9eecebf118b6ebf6118a3b20c810977bbbb"
12
+ },
13
+ "rl.pt": {
14
+ "size": 128309045,
15
+ "sha256": "f9c898d8bac3c9501e5bb047b0bdc7e570887c8f3c9b6b1db23c5d790051a66f"
16
+ }
17
+ },
18
+ "complete": {
19
+ "task": "partial_gsm8k",
20
+ "model": "32m",
21
+ "sft_tokens": 2097152,
22
+ "sft_budget": 2097152,
23
+ "rl_rollouts": 65536,
24
+ "rl_budget": 65536,
25
+ "terminal_sft_hash": "a37df7f3574a399036bfd9c9771a1ea1e1e5e56365bd48c9b33392c95dc75964",
26
+ "final_rl_hash": "b8559481dbed2a1f2f0eefc17ca3d841f08faa55e59b5aa8146d09cd955850cc",
27
+ "sft_seconds": 202.71570450719446,
28
+ "rl_seconds": 633.3891215119511,
29
+ "no_checkpoint_selection": true,
30
+ "evaluation_generations": 10752,
31
+ "calibration_generations": 0,
32
+ "hint_distribution": "uniform 1..16 per query",
33
+ "samples_per_query": 32,
34
+ "development_episodes": 64,
35
+ "development_unique_groups": 64
36
+ }
37
+ }
cases/202f6bc88a76dd3d/projection-only-v1__32m__partial_gsm8k__pretrained-attention-scaled-projections/complete.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "task": "partial_gsm8k",
3
+ "model": "32m",
4
+ "sft_tokens": 2097152,
5
+ "sft_budget": 2097152,
6
+ "rl_rollouts": 65536,
7
+ "rl_budget": 65536,
8
+ "terminal_sft_hash": "a37df7f3574a399036bfd9c9771a1ea1e1e5e56365bd48c9b33392c95dc75964",
9
+ "final_rl_hash": "b8559481dbed2a1f2f0eefc17ca3d841f08faa55e59b5aa8146d09cd955850cc",
10
+ "sft_seconds": 202.71570450719446,
11
+ "rl_seconds": 633.3891215119511,
12
+ "no_checkpoint_selection": true,
13
+ "evaluation_generations": 10752,
14
+ "calibration_generations": 0,
15
+ "hint_distribution": "uniform 1..16 per query",
16
+ "samples_per_query": 32,
17
+ "development_episodes": 64,
18
+ "development_unique_groups": 64
19
+ }
cases/202f6bc88a76dd3d/projection-only-v1__32m__partial_gsm8k__pretrained-attention-scaled-projections/request.json ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "task": "partial_gsm8k",
4
+ "model": "32m",
5
+ "root": "/nlp/scr/dhei/tiny-rl/experiments/refined-math-v1/iterations/projection-only-v1",
6
+ "checkpoint": "/nlp/scr/dhei/nanogpt-ladder-v3/runs/base/32m-962134016/seed-1337/model.pt",
7
+ "output": "/nlp/scr/dhei/tiny-rl/experiments/refined-math-v1/iterations/projection-only-v1/runs/pretrained-attention-scaled-projections/32m/partial_gsm8k",
8
+ "sft_tokens": 2097152,
9
+ "rl_rollouts": 65536,
10
+ "samples": 32,
11
+ "groups": 4,
12
+ "batch_tokens": 512,
13
+ "micro_tokens": 2048,
14
+ "preserve_sft_context": false,
15
+ "rl_micro_tokens": 8192,
16
+ "rl_micro_batch": 16,
17
+ "sft_lr": 0.0003,
18
+ "sft_hidden_lr": 0.0005,
19
+ "rl_lr": 1e-05,
20
+ "rl_hidden_lr": 1.6666666666666667e-05,
21
+ "conditioning": "hinted-v2",
22
+ "optimizer": "relative",
23
+ "qk_rms": 0.03,
24
+ "qk_update_scale": 1.0,
25
+ "kl": 0.1,
26
+ "clip": 0.2,
27
+ "eval_queries": 64,
28
+ "eval_samples": 8,
29
+ "eval_batch": 2,
30
+ "sft_eval_interval": 0,
31
+ "interval": 4096,
32
+ "recovery_interval": 4096,
33
+ "recovery_seconds": 120.0,
34
+ "workers": 8,
35
+ "judged_backend": "skywork",
36
+ "judge_cache": "",
37
+ "chat_stop": "none",
38
+ "threads": 2,
39
+ "seed": 2718,
40
+ "device": "auto",
41
+ "wandb_project": "tiny-rl-refined-math-v1",
42
+ "wandb_entity": "david-heineman",
43
+ "wandb_mode": "online",
44
+ "run_tag": "pretrained-attention-scaled-projections",
45
+ "smoke": false,
46
+ "answer_weight": 32.0,
47
+ "preserve_context": true,
48
+ "question_weight": 1.0,
49
+ "preserve_pretrained_attention": true
50
+ },
51
+ "checkpoint_sha256": "b7b3f9dd3e7193428bc0b3e2e444db77679031c32228a89d3521dd8d6b68bde3",
52
+ "sft_sha256": "7288c95445f5e553a167b1bfc9c31af9309cd14fc94828d0bd62b5d875ae438b",
53
+ "trainer_sha256": "67378d91ddee24e15a4ea2dab227e01b1d46f4713f86c785f3b783a1daed1145",
54
+ "policy_sha256": "9a971eaefca9c12215bfbef71b9c2be843bf88fd282366de36eccf8556c6869e",
55
+ "metrics_sha256": "2ad66edd0a66aece156570059798d1e0d4fb54f168d51304d454da249ebbe550",
56
+ "data_sha256": "a68479e268f8ae566e281e345435b56cc5bac8f0f235d608e1bb85b2d4a62412",
57
+ "split_sha256": {
58
+ "rl": "2322a683cc448c212520dde2f1cecc463cfbe3d47754fad3227ba5e577732077",
59
+ "dev": "793d5f09756607246259056e2883185f49d2710ae32311679b933ac0f09608d7",
60
+ "test": "6b88570762fb9858e0d4a1afb712da06a8352f768b0f68463eef7f7230db44e2"
61
+ },
62
+ "environment_sha256": "9f660ff7390d08a80fb314b35c7b36e7e9a5e426a7cea671a0644904b878a317"
63
+ }
cases/202f6bc88a76dd3d/projection-only-v1__32m__partial_gsm8k__pretrained-attention-scaled-projections/rl.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f9c898d8bac3c9501e5bb047b0bdc7e570887c8f3c9b6b1db23c5d790051a66f
3
+ size 128309045
cases/202f6bc88a76dd3d/projection-only-v1__32m__partial_gsm8k__pretrained-attention-scaled-projections/sft.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a5969e051254e4a2ef78db286d91b9eecebf118b6ebf6118a3b20c810977bbbb
3
+ size 128309181
cases/202f6bc88a76dd3d/projection-only-v1__32m__partial_gsm8k__pretrained-attention-scaled-projections/startup.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "raw_weights": "c67187cbffce452f4a1fa510a094ab550e7d804fd939c2f9bd5af68a68906290",
3
+ "conditioning": {
4
+ "recipe": "Rescale residual output projections; preserve pretrained Q/K exactly before SFT and learn them without per-step normalization.",
5
+ "residual_projection_scale": 0.0030092086302306023,
6
+ "qk_rms": null,
7
+ "initialized_weights": "3d52347adbfc89f12d56c6c65c221e0a546aff61cc75b4f44bdb15931edcd6a8",
8
+ "preserve_pretrained_attention": true
9
+ },
10
+ "parameters": 32071680,
11
+ "hardware": "NVIDIA A40",
12
+ "torch_version": "2.10.0+cu128",
13
+ "cuda_runtime": "12.8",
14
+ "torch_path": "/juice5b/u/dhei/tatsu/nano-omni/.venv/lib/python3.12/site-packages/torch/__init__.py",
15
+ "job": "18432567",
16
+ "restart": "0"
17
+ }
cases/202f6bc88a76dd3d/projection-only-v1__32m__partial_gsm8k__pretrained-attention-scaled-projections/terminal-sft.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "tokens": 2097152,
3
+ "budget": 2097152,
4
+ "weights_sha256": "a37df7f3574a399036bfd9c9771a1ea1e1e5e56365bd48c9b33392c95dc75964",
5
+ "seconds": 202.71570450719446,
6
+ "role": "Only terminal full-budget SFT weights initialize RL"
7
+ }