batch-2: E0 t1 family (t1_0.6B_tulu_r4 archive damage documented in manifest)
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- t1/t1_0.6B_gsm8k_r16_lr1e-3/config.json +39 -0
- t1/t1_0.6B_gsm8k_r16_lr1e-3/log.txt +35 -0
- t1/t1_0.6B_gsm8k_r16_lr1e-3/meta.json +2336 -0
- t1/t1_0.6B_gsm8k_r16_lr1e-3/metrics.npz +3 -0
- t1/t1_0.6B_gsm8k_r16_lr1e-3/trajectory.dat.zst +3 -0
- t1/t1_0.6B_gsm8k_r16_lr2e-4/config.json +39 -0
- t1/t1_0.6B_gsm8k_r16_lr2e-4/log.txt +35 -0
- t1/t1_0.6B_gsm8k_r16_lr2e-4/meta.json +2336 -0
- t1/t1_0.6B_gsm8k_r16_lr2e-4/metrics.npz +3 -0
- t1/t1_0.6B_gsm8k_r16_lr2e-4/trajectory.dat.zst +3 -0
- t1/t1_0.6B_gsm8k_r4_lr2e-4/config.json +39 -0
- t1/t1_0.6B_gsm8k_r4_lr2e-4/log.txt +35 -0
- t1/t1_0.6B_gsm8k_r4_lr2e-4/meta.json +2336 -0
- t1/t1_0.6B_gsm8k_r4_lr2e-4/metrics.npz +3 -0
- t1/t1_0.6B_gsm8k_r4_lr2e-4/trajectory.dat.zst +3 -0
- t1/t1_0.6B_gsm8k_r64_lr2e-4/config.json +39 -0
- t1/t1_0.6B_gsm8k_r64_lr2e-4/log.txt +35 -0
- t1/t1_0.6B_gsm8k_r64_lr2e-4/meta.json +2336 -0
- t1/t1_0.6B_gsm8k_r64_lr2e-4/metrics.npz +3 -0
- t1/t1_0.6B_gsm8k_r64_lr2e-4/trajectory.dat.zst +3 -0
- t1/t1_0.6B_sql_r16_lr2e-4/config.json +39 -0
- t1/t1_0.6B_sql_r16_lr2e-4/log.txt +35 -0
- t1/t1_0.6B_sql_r16_lr2e-4/meta.json +2336 -0
- t1/t1_0.6B_sql_r16_lr2e-4/metrics.npz +3 -0
- t1/t1_0.6B_sql_r16_lr2e-4/trajectory.dat.zst +3 -0
- t1/t1_0.6B_sql_r4_lr2e-4/config.json +39 -0
- t1/t1_0.6B_sql_r4_lr2e-4/log.txt +35 -0
- t1/t1_0.6B_sql_r4_lr2e-4/meta.json +2336 -0
- t1/t1_0.6B_sql_r4_lr2e-4/metrics.npz +3 -0
- t1/t1_0.6B_sql_r4_lr2e-4/trajectory.dat.zst +3 -0
- t1/t1_0.6B_sql_r64_lr2e-4/config.json +39 -0
- t1/t1_0.6B_sql_r64_lr2e-4/log.txt +49 -0
- t1/t1_0.6B_sql_r64_lr2e-4/meta.json +2336 -0
- t1/t1_0.6B_sql_r64_lr2e-4/metrics.npz +3 -0
- t1/t1_0.6B_sql_r64_lr2e-4/trajectory.dat.zst +3 -0
- t1/t1_0.6B_tulu_r16_lr1e-3/config.json +39 -0
- t1/t1_0.6B_tulu_r16_lr1e-3/log.txt +38 -0
- t1/t1_0.6B_tulu_r16_lr1e-3/meta.json +2336 -0
- t1/t1_0.6B_tulu_r16_lr1e-3/metrics.npz +3 -0
- t1/t1_0.6B_tulu_r16_lr1e-3/trajectory.dat.zst +3 -0
- t1/t1_0.6B_tulu_r16_lr2e-4/config.json +39 -0
- t1/t1_0.6B_tulu_r16_lr2e-4/log.txt +35 -0
- t1/t1_0.6B_tulu_r16_lr2e-4/meta.json +2336 -0
- t1/t1_0.6B_tulu_r16_lr2e-4/metrics.npz +3 -0
- t1/t1_0.6B_tulu_r16_lr2e-4/trajectory.dat.zst +3 -0
- t1/t1_0.6B_tulu_r4_lr2e-4/config.json +39 -0
- t1/t1_0.6B_tulu_r4_lr2e-4/log.txt +43 -0
- t1/t1_0.6B_tulu_r4_lr2e-4/meta.json +2336 -0
- t1/t1_0.6B_tulu_r4_lr2e-4/metrics.npz +3 -0
- t1/t1_0.6B_tulu_r4_lr2e-4/trajectory.dat.zst +3 -0
t1/t1_0.6B_gsm8k_r16_lr1e-3/config.json
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{
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"run_id": "t1_0.6B_gsm8k_r16_lr1e-3",
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"model_id": "Qwen/Qwen3-0.6B-Base",
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"task": "gsm8k",
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"seq_len": 512,
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"batch_size": 8,
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"grad_accum": 1,
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"max_steps": 1500,
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"lora_r": 16,
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"lora_alpha": null,
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"targets": [
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"q_proj",
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"k_proj",
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"v_proj",
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"o_proj"
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],
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"optimizer": "adamw",
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"lr": 0.001,
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"weight_decay": 0.01,
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"betas": [
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0.9,
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0.999
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],
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"grad_clip": 1.0,
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"snapshot_every": 10,
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"probe_every": 10,
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"eval_every": 100,
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"eval_batches": 8,
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"seed": 17,
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"data_seed": 17,
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"warm_start": null,
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"gauge_transform": "none",
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"gauge_c": 4.0,
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"gauge_seed": 0,
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"save_warm_at": null,
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"device": "auto",
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"base_dtype": "auto",
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"out_root": "runs"
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}
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t1/t1_0.6B_gsm8k_r16_lr1e-3/log.txt
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Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
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Loading weights: 0%| | 0/310 [00:00<?, ?it/s]
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Loading weights: 100%|██████████| 310/310 [00:00<00:00, 16948.67it/s]
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[t1_0.6B_gsm8k_r16_lr1e-3] step 50/1500 loss 0.5064 (40s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 100/1500 loss 0.4753 (79s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 150/1500 loss 0.4861 (116s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 200/1500 loss 0.4721 (154s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 250/1500 loss 0.4773 (191s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 300/1500 loss 0.4848 (230s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 350/1500 loss 0.5086 (266s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 400/1500 loss 0.5076 (305s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 450/1500 loss 0.5181 (342s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 500/1500 loss 0.4920 (380s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 550/1500 loss 0.5057 (417s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 600/1500 loss 0.4969 (456s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 650/1500 loss 0.4944 (493s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 700/1500 loss 0.5111 (531s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 750/1500 loss 0.4910 (568s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 800/1500 loss 0.5094 (606s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 850/1500 loss 0.4893 (643s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 900/1500 loss 0.4555 (682s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 950/1500 loss 0.4410 (719s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 1000/1500 loss 0.4454 (757s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 1050/1500 loss 0.4563 (794s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 1100/1500 loss 0.4593 (833s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 1150/1500 loss 0.4537 (869s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 1200/1500 loss 0.4933 (908s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 1250/1500 loss 0.4943 (945s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 1300/1500 loss 0.4861 (983s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 1350/1500 loss 0.4772 (1020s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 1400/1500 loss 0.4680 (1059s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 1450/1500 loss 0.4822 (1096s)
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[t1_0.6B_gsm8k_r16_lr1e-3] step 1500/1500 loss 0.4707 (1134s)
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[t1_0.6B_gsm8k_r16_lr1e-3] DONE in 1134s -> runs/t1_0.6B_gsm8k_r16_lr1e-3
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t1/t1_0.6B_gsm8k_r16_lr1e-3/meta.json
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"base_model.model.model.layers.8.self_attn.k_proj",
|
| 2323 |
+
"base_model.model.model.layers.8.self_attn.o_proj",
|
| 2324 |
+
"base_model.model.model.layers.8.self_attn.q_proj",
|
| 2325 |
+
"base_model.model.model.layers.8.self_attn.v_proj",
|
| 2326 |
+
"base_model.model.model.layers.9.self_attn.k_proj",
|
| 2327 |
+
"base_model.model.model.layers.9.self_attn.o_proj",
|
| 2328 |
+
"base_model.model.model.layers.9.self_attn.q_proj",
|
| 2329 |
+
"base_model.model.model.layers.9.self_attn.v_proj"
|
| 2330 |
+
],
|
| 2331 |
+
"scale": 2.0,
|
| 2332 |
+
"start_step": 0,
|
| 2333 |
+
"torch": "2.7.1+cu128",
|
| 2334 |
+
"device": "cuda",
|
| 2335 |
+
"base_dtype": "torch.bfloat16"
|
| 2336 |
+
}
|
t1/t1_0.6B_gsm8k_r16_lr1e-3/metrics.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4bdc52a00c5a013441ca245728d7c6329f9395862faa08e38ddb3408012ef64f
|
| 3 |
+
size 2520774
|
t1/t1_0.6B_gsm8k_r16_lr1e-3/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0030a86ff981f2406630cf07bbcc775e67157940a72ec9defaf66f88f1030e3c
|
| 3 |
+
size 1269604431
|
t1/t1_0.6B_gsm8k_r16_lr2e-4/config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"run_id": "t1_0.6B_gsm8k_r16_lr2e-4",
|
| 3 |
+
"model_id": "Qwen/Qwen3-0.6B-Base",
|
| 4 |
+
"task": "gsm8k",
|
| 5 |
+
"seq_len": 512,
|
| 6 |
+
"batch_size": 8,
|
| 7 |
+
"grad_accum": 1,
|
| 8 |
+
"max_steps": 1500,
|
| 9 |
+
"lora_r": 16,
|
| 10 |
+
"lora_alpha": null,
|
| 11 |
+
"targets": [
|
| 12 |
+
"q_proj",
|
| 13 |
+
"k_proj",
|
| 14 |
+
"v_proj",
|
| 15 |
+
"o_proj"
|
| 16 |
+
],
|
| 17 |
+
"optimizer": "adamw",
|
| 18 |
+
"lr": 0.0002,
|
| 19 |
+
"weight_decay": 0.01,
|
| 20 |
+
"betas": [
|
| 21 |
+
0.9,
|
| 22 |
+
0.999
|
| 23 |
+
],
|
| 24 |
+
"grad_clip": 1.0,
|
| 25 |
+
"snapshot_every": 10,
|
| 26 |
+
"probe_every": 10,
|
| 27 |
+
"eval_every": 100,
|
| 28 |
+
"eval_batches": 8,
|
| 29 |
+
"seed": 17,
|
| 30 |
+
"data_seed": 17,
|
| 31 |
+
"warm_start": null,
|
| 32 |
+
"gauge_transform": "none",
|
| 33 |
+
"gauge_c": 4.0,
|
| 34 |
+
"gauge_seed": 0,
|
| 35 |
+
"save_warm_at": null,
|
| 36 |
+
"device": "auto",
|
| 37 |
+
"base_dtype": "auto",
|
| 38 |
+
"out_root": "runs"
|
| 39 |
+
}
|
t1/t1_0.6B_gsm8k_r16_lr2e-4/log.txt
ADDED
|
@@ -0,0 +1,35 @@
|
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|
| 1 |
+
Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
|
| 2 |
+
|
| 3 |
+
Loading weights: 0%| | 0/310 [00:00<?, ?it/s]
|
| 4 |
+
Loading weights: 100%|██████████| 310/310 [00:00<00:00, 16128.74it/s]
|
| 5 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 50/1500 loss 0.4826 (50s)
|
| 6 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 100/1500 loss 0.4376 (89s)
|
| 7 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 150/1500 loss 0.4378 (126s)
|
| 8 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 200/1500 loss 0.4157 (164s)
|
| 9 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 250/1500 loss 0.4180 (201s)
|
| 10 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 300/1500 loss 0.4197 (240s)
|
| 11 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 350/1500 loss 0.4321 (276s)
|
| 12 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 400/1500 loss 0.4352 (315s)
|
| 13 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 450/1500 loss 0.4425 (352s)
|
| 14 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 500/1500 loss 0.4078 (390s)
|
| 15 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 550/1500 loss 0.4228 (427s)
|
| 16 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 600/1500 loss 0.4144 (466s)
|
| 17 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 650/1500 loss 0.4009 (503s)
|
| 18 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 700/1500 loss 0.4163 (541s)
|
| 19 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 750/1500 loss 0.4011 (578s)
|
| 20 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 800/1500 loss 0.4085 (616s)
|
| 21 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 850/1500 loss 0.3930 (653s)
|
| 22 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 900/1500 loss 0.3747 (692s)
|
| 23 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 950/1500 loss 0.3546 (729s)
|
| 24 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 1000/1500 loss 0.3523 (767s)
|
| 25 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 1050/1500 loss 0.3593 (804s)
|
| 26 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 1100/1500 loss 0.3580 (843s)
|
| 27 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 1150/1500 loss 0.3516 (880s)
|
| 28 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 1200/1500 loss 0.3781 (918s)
|
| 29 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 1250/1500 loss 0.3846 (955s)
|
| 30 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 1300/1500 loss 0.3736 (994s)
|
| 31 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 1350/1500 loss 0.3573 (1031s)
|
| 32 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 1400/1500 loss 0.3528 (1069s)
|
| 33 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 1450/1500 loss 0.3636 (1106s)
|
| 34 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] step 1500/1500 loss 0.3514 (1144s)
|
| 35 |
+
[t1_0.6B_gsm8k_r16_lr2e-4] DONE in 1145s -> runs/t1_0.6B_gsm8k_r16_lr2e-4
|
t1/t1_0.6B_gsm8k_r16_lr2e-4/meta.json
ADDED
|
@@ -0,0 +1,2336 @@
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|
| 1 |
+
{
|
| 2 |
+
"run_id": "t1_0.6B_gsm8k_r4_lr2e-4",
|
| 3 |
+
"model_id": "Qwen/Qwen3-0.6B-Base",
|
| 4 |
+
"task": "gsm8k",
|
| 5 |
+
"seq_len": 512,
|
| 6 |
+
"batch_size": 8,
|
| 7 |
+
"grad_accum": 1,
|
| 8 |
+
"max_steps": 1500,
|
| 9 |
+
"lora_r": 4,
|
| 10 |
+
"lora_alpha": null,
|
| 11 |
+
"targets": [
|
| 12 |
+
"q_proj",
|
| 13 |
+
"k_proj",
|
| 14 |
+
"v_proj",
|
| 15 |
+
"o_proj"
|
| 16 |
+
],
|
| 17 |
+
"optimizer": "adamw",
|
| 18 |
+
"lr": 0.0002,
|
| 19 |
+
"weight_decay": 0.01,
|
| 20 |
+
"betas": [
|
| 21 |
+
0.9,
|
| 22 |
+
0.999
|
| 23 |
+
],
|
| 24 |
+
"grad_clip": 1.0,
|
| 25 |
+
"snapshot_every": 10,
|
| 26 |
+
"probe_every": 10,
|
| 27 |
+
"eval_every": 100,
|
| 28 |
+
"eval_batches": 8,
|
| 29 |
+
"seed": 17,
|
| 30 |
+
"data_seed": 17,
|
| 31 |
+
"warm_start": null,
|
| 32 |
+
"gauge_transform": "none",
|
| 33 |
+
"gauge_c": 4.0,
|
| 34 |
+
"gauge_seed": 0,
|
| 35 |
+
"save_warm_at": null,
|
| 36 |
+
"device": "auto",
|
| 37 |
+
"base_dtype": "auto",
|
| 38 |
+
"out_root": "runs"
|
| 39 |
+
}
|
t1/t1_0.6B_gsm8k_r4_lr2e-4/log.txt
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
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|
| 1 |
+
Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
|
| 2 |
+
|
| 3 |
+
Loading weights: 0%| | 0/310 [00:00<?, ?it/s]
|
| 4 |
+
Loading weights: 100%|██████████| 310/310 [00:00<00:00, 16562.65it/s]
|
| 5 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 50/1500 loss 0.4916 (41s)
|
| 6 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 100/1500 loss 0.4430 (79s)
|
| 7 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 150/1500 loss 0.4417 (115s)
|
| 8 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 200/1500 loss 0.4202 (153s)
|
| 9 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 250/1500 loss 0.4220 (189s)
|
| 10 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 300/1500 loss 0.4244 (227s)
|
| 11 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 350/1500 loss 0.4379 (264s)
|
| 12 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 400/1500 loss 0.4407 (302s)
|
| 13 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 450/1500 loss 0.4486 (338s)
|
| 14 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 500/1500 loss 0.4135 (376s)
|
| 15 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 550/1500 loss 0.4263 (412s)
|
| 16 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 600/1500 loss 0.4210 (450s)
|
| 17 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 650/1500 loss 0.4080 (487s)
|
| 18 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 700/1500 loss 0.4207 (524s)
|
| 19 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 750/1500 loss 0.4060 (561s)
|
| 20 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 800/1500 loss 0.4126 (599s)
|
| 21 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 850/1500 loss 0.3991 (635s)
|
| 22 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 900/1500 loss 0.3999 (673s)
|
| 23 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 950/1500 loss 0.3849 (709s)
|
| 24 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 1000/1500 loss 0.3837 (747s)
|
| 25 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 1050/1500 loss 0.3915 (783s)
|
| 26 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 1100/1500 loss 0.3877 (821s)
|
| 27 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 1150/1500 loss 0.3765 (857s)
|
| 28 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 1200/1500 loss 0.4046 (895s)
|
| 29 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 1250/1500 loss 0.4150 (932s)
|
| 30 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 1300/1500 loss 0.3995 (970s)
|
| 31 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 1350/1500 loss 0.3821 (1006s)
|
| 32 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 1400/1500 loss 0.3760 (1044s)
|
| 33 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 1450/1500 loss 0.3899 (1080s)
|
| 34 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] step 1500/1500 loss 0.3761 (1118s)
|
| 35 |
+
[t1_0.6B_gsm8k_r4_lr2e-4] DONE in 1118s -> runs/t1_0.6B_gsm8k_r4_lr2e-4
|
t1/t1_0.6B_gsm8k_r4_lr2e-4/meta.json
ADDED
|
@@ -0,0 +1,2336 @@
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|
| 1 |
+
{
|
| 2 |
+
"n_states": 151,
|
| 3 |
+
"max_states": 154,
|
| 4 |
+
"n_params": 1146880,
|
| 5 |
+
"dtype": "float16",
|
| 6 |
+
"layout": "states x flat named_parameters (requires_grad only)",
|
| 7 |
+
"steps": [
|
| 8 |
+
0,
|
| 9 |
+
10,
|
| 10 |
+
20,
|
| 11 |
+
30,
|
| 12 |
+
40,
|
| 13 |
+
50,
|
| 14 |
+
60,
|
| 15 |
+
70,
|
| 16 |
+
80,
|
| 17 |
+
90,
|
| 18 |
+
100,
|
| 19 |
+
110,
|
| 20 |
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{
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"save_warm_at": null,
|
| 36 |
+
"device": "auto",
|
| 37 |
+
"base_dtype": "auto",
|
| 38 |
+
"out_root": "runs"
|
| 39 |
+
}
|
t1/t1_0.6B_gsm8k_r64_lr2e-4/log.txt
ADDED
|
@@ -0,0 +1,35 @@
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| 1 |
+
|
| 2 |
+
Loading weights: 0%| | 0/310 [00:00<?, ?it/s]
|
| 3 |
+
Loading weights: 100%|██████████| 310/310 [00:00<00:00, 17076.22it/s]
|
| 4 |
+
Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
|
| 5 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 50/1500 loss 0.4894 (50s)
|
| 6 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 100/1500 loss 0.4450 (97s)
|
| 7 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 150/1500 loss 0.4424 (142s)
|
| 8 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 200/1500 loss 0.4178 (188s)
|
| 9 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 250/1500 loss 0.4202 (239s)
|
| 10 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 300/1500 loss 0.4249 (285s)
|
| 11 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 350/1500 loss 0.4395 (330s)
|
| 12 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 400/1500 loss 0.4383 (377s)
|
| 13 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 450/1500 loss 0.4467 (421s)
|
| 14 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 500/1500 loss 0.4141 (468s)
|
| 15 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 550/1500 loss 0.4310 (513s)
|
| 16 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 600/1500 loss 0.4203 (559s)
|
| 17 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 650/1500 loss 0.4082 (604s)
|
| 18 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 700/1500 loss 0.4250 (650s)
|
| 19 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 750/1500 loss 0.4101 (695s)
|
| 20 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 800/1500 loss 0.4192 (741s)
|
| 21 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 850/1500 loss 0.4008 (786s)
|
| 22 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 900/1500 loss 0.3547 (832s)
|
| 23 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 950/1500 loss 0.3235 (877s)
|
| 24 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 1000/1500 loss 0.3265 (923s)
|
| 25 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 1050/1500 loss 0.3349 (968s)
|
| 26 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 1100/1500 loss 0.3358 (1015s)
|
| 27 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 1150/1500 loss 0.3309 (1059s)
|
| 28 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 1200/1500 loss 0.3581 (1106s)
|
| 29 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 1250/1500 loss 0.3647 (1151s)
|
| 30 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 1300/1500 loss 0.3553 (1197s)
|
| 31 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 1350/1500 loss 0.3461 (1242s)
|
| 32 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 1400/1500 loss 0.3360 (1288s)
|
| 33 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 1450/1500 loss 0.3468 (1333s)
|
| 34 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] step 1500/1500 loss 0.3383 (1380s)
|
| 35 |
+
[t1_0.6B_gsm8k_r64_lr2e-4] DONE in 1380s -> runs/t1_0.6B_gsm8k_r64_lr2e-4
|
t1/t1_0.6B_gsm8k_r64_lr2e-4/meta.json
ADDED
|
@@ -0,0 +1,2336 @@
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"n_states": 151,
|
| 3 |
+
"max_states": 154,
|
| 4 |
+
"n_params": 18350080,
|
| 5 |
+
"dtype": "float16",
|
| 6 |
+
"layout": "states x flat named_parameters (requires_grad only)",
|
| 7 |
+
"steps": [
|
| 8 |
+
0,
|
| 9 |
+
10,
|
| 10 |
+
20,
|
| 11 |
+
30,
|
| 12 |
+
40,
|
| 13 |
+
50,
|
| 14 |
+
60,
|
| 15 |
+
70,
|
| 16 |
+
80,
|
| 17 |
+
90,
|
| 18 |
+
100,
|
| 19 |
+
110,
|
| 20 |
+
120,
|
| 21 |
+
130,
|
| 22 |
+
140,
|
| 23 |
+
150,
|
| 24 |
+
160,
|
| 25 |
+
170,
|
| 26 |
+
180,
|
| 27 |
+
190,
|
| 28 |
+
200,
|
| 29 |
+
210,
|
| 30 |
+
220,
|
| 31 |
+
230,
|
| 32 |
+
240,
|
| 33 |
+
250,
|
| 34 |
+
260,
|
| 35 |
+
270,
|
| 36 |
+
280,
|
| 37 |
+
290,
|
| 38 |
+
300,
|
| 39 |
+
310,
|
| 40 |
+
320,
|
| 41 |
+
330,
|
| 42 |
+
340,
|
| 43 |
+
350,
|
| 44 |
+
360,
|
| 45 |
+
370,
|
| 46 |
+
380,
|
| 47 |
+
390,
|
| 48 |
+
400,
|
| 49 |
+
410,
|
| 50 |
+
420,
|
| 51 |
+
430,
|
| 52 |
+
440,
|
| 53 |
+
450,
|
| 54 |
+
460,
|
| 55 |
+
470,
|
| 56 |
+
480,
|
| 57 |
+
490,
|
| 58 |
+
500,
|
| 59 |
+
510,
|
| 60 |
+
520,
|
| 61 |
+
530,
|
| 62 |
+
540,
|
| 63 |
+
550,
|
| 64 |
+
560,
|
| 65 |
+
570,
|
| 66 |
+
580,
|
| 67 |
+
590,
|
| 68 |
+
600,
|
| 69 |
+
610,
|
| 70 |
+
620,
|
| 71 |
+
630,
|
| 72 |
+
640,
|
| 73 |
+
650,
|
| 74 |
+
660,
|
| 75 |
+
670,
|
| 76 |
+
680,
|
| 77 |
+
690,
|
| 78 |
+
700,
|
| 79 |
+
710,
|
| 80 |
+
720,
|
| 81 |
+
730,
|
| 82 |
+
740,
|
| 83 |
+
750,
|
| 84 |
+
760,
|
| 85 |
+
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t1/t1_0.6B_gsm8k_r64_lr2e-4/metrics.npz
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t1/t1_0.6B_gsm8k_r64_lr2e-4/trajectory.dat.zst
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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t1/t1_0.6B_sql_r16_lr2e-4/config.json
ADDED
|
@@ -0,0 +1,39 @@
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|
| 1 |
+
{
|
| 2 |
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"run_id": "t1_0.6B_sql_r16_lr2e-4",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
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|
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|
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|
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|
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|
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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"o_proj"
|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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0.9,
|
| 22 |
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|
| 23 |
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| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
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|
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|
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|
| 37 |
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|
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|
| 39 |
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|
t1/t1_0.6B_sql_r16_lr2e-4/log.txt
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Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
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Loading weights: 0%| | 0/310 [00:00<?, ?it/s]
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Loading weights: 100%|██████████| 310/310 [00:00<00:00, 42675.41it/s]
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[t1_0.6B_sql_r16_lr2e-4] step 50/1500 loss 0.1711 (43s)
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[t1_0.6B_sql_r16_lr2e-4] step 100/1500 loss 0.1046 (81s)
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[t1_0.6B_sql_r16_lr2e-4] step 150/1500 loss 0.0967 (118s)
|
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[t1_0.6B_sql_r16_lr2e-4] step 200/1500 loss 0.0832 (157s)
|
| 9 |
+
[t1_0.6B_sql_r16_lr2e-4] step 250/1500 loss 0.0796 (193s)
|
| 10 |
+
[t1_0.6B_sql_r16_lr2e-4] step 300/1500 loss 0.0718 (232s)
|
| 11 |
+
[t1_0.6B_sql_r16_lr2e-4] step 350/1500 loss 0.0645 (269s)
|
| 12 |
+
[t1_0.6B_sql_r16_lr2e-4] step 400/1500 loss 0.0667 (307s)
|
| 13 |
+
[t1_0.6B_sql_r16_lr2e-4] step 450/1500 loss 0.0659 (344s)
|
| 14 |
+
[t1_0.6B_sql_r16_lr2e-4] step 500/1500 loss 0.0663 (382s)
|
| 15 |
+
[t1_0.6B_sql_r16_lr2e-4] step 550/1500 loss 0.0647 (419s)
|
| 16 |
+
[t1_0.6B_sql_r16_lr2e-4] step 600/1500 loss 0.0787 (457s)
|
| 17 |
+
[t1_0.6B_sql_r16_lr2e-4] step 650/1500 loss 0.0549 (494s)
|
| 18 |
+
[t1_0.6B_sql_r16_lr2e-4] step 700/1500 loss 0.0495 (533s)
|
| 19 |
+
[t1_0.6B_sql_r16_lr2e-4] step 750/1500 loss 0.0561 (569s)
|
| 20 |
+
[t1_0.6B_sql_r16_lr2e-4] step 800/1500 loss 0.0592 (608s)
|
| 21 |
+
[t1_0.6B_sql_r16_lr2e-4] step 850/1500 loss 0.0556 (645s)
|
| 22 |
+
[t1_0.6B_sql_r16_lr2e-4] step 900/1500 loss 0.0434 (683s)
|
| 23 |
+
[t1_0.6B_sql_r16_lr2e-4] step 950/1500 loss 0.0464 (720s)
|
| 24 |
+
[t1_0.6B_sql_r16_lr2e-4] step 1000/1500 loss 0.0461 (758s)
|
| 25 |
+
[t1_0.6B_sql_r16_lr2e-4] step 1050/1500 loss 0.0444 (795s)
|
| 26 |
+
[t1_0.6B_sql_r16_lr2e-4] step 1100/1500 loss 0.0468 (834s)
|
| 27 |
+
[t1_0.6B_sql_r16_lr2e-4] step 1150/1500 loss 0.0454 (870s)
|
| 28 |
+
[t1_0.6B_sql_r16_lr2e-4] step 1200/1500 loss 0.0490 (909s)
|
| 29 |
+
[t1_0.6B_sql_r16_lr2e-4] step 1250/1500 loss 0.0403 (946s)
|
| 30 |
+
[t1_0.6B_sql_r16_lr2e-4] step 1300/1500 loss 0.0411 (984s)
|
| 31 |
+
[t1_0.6B_sql_r16_lr2e-4] step 1350/1500 loss 0.0456 (1021s)
|
| 32 |
+
[t1_0.6B_sql_r16_lr2e-4] step 1400/1500 loss 0.0335 (1059s)
|
| 33 |
+
[t1_0.6B_sql_r16_lr2e-4] step 1450/1500 loss 0.0394 (1096s)
|
| 34 |
+
[t1_0.6B_sql_r16_lr2e-4] step 1500/1500 loss 0.0403 (1134s)
|
| 35 |
+
[t1_0.6B_sql_r16_lr2e-4] DONE in 1135s -> runs/t1_0.6B_sql_r16_lr2e-4
|
t1/t1_0.6B_sql_r16_lr2e-4/meta.json
ADDED
|
@@ -0,0 +1,2336 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"n_states": 151,
|
| 3 |
+
"max_states": 154,
|
| 4 |
+
"n_params": 4587520,
|
| 5 |
+
"dtype": "float16",
|
| 6 |
+
"layout": "states x flat named_parameters (requires_grad only)",
|
| 7 |
+
"steps": [
|
| 8 |
+
0,
|
| 9 |
+
10,
|
| 10 |
+
20,
|
| 11 |
+
30,
|
| 12 |
+
40,
|
| 13 |
+
50,
|
| 14 |
+
60,
|
| 15 |
+
70,
|
| 16 |
+
80,
|
| 17 |
+
90,
|
| 18 |
+
100,
|
| 19 |
+
110,
|
| 20 |
+
120,
|
| 21 |
+
130,
|
| 22 |
+
140,
|
| 23 |
+
150,
|
| 24 |
+
160,
|
| 25 |
+
170,
|
| 26 |
+
180,
|
| 27 |
+
190,
|
| 28 |
+
200,
|
| 29 |
+
210,
|
| 30 |
+
220,
|
| 31 |
+
230,
|
| 32 |
+
240,
|
| 33 |
+
250,
|
| 34 |
+
260,
|
| 35 |
+
270,
|
| 36 |
+
280,
|
| 37 |
+
290,
|
| 38 |
+
300,
|
| 39 |
+
310,
|
| 40 |
+
320,
|
| 41 |
+
330,
|
| 42 |
+
340,
|
| 43 |
+
350,
|
| 44 |
+
360,
|
| 45 |
+
370,
|
| 46 |
+
380,
|
| 47 |
+
390,
|
| 48 |
+
400,
|
| 49 |
+
410,
|
| 50 |
+
420,
|
| 51 |
+
430,
|
| 52 |
+
440,
|
| 53 |
+
450,
|
| 54 |
+
460,
|
| 55 |
+
470,
|
| 56 |
+
480,
|
| 57 |
+
490,
|
| 58 |
+
500,
|
| 59 |
+
510,
|
| 60 |
+
520,
|
| 61 |
+
530,
|
| 62 |
+
540,
|
| 63 |
+
550,
|
| 64 |
+
560,
|
| 65 |
+
570,
|
| 66 |
+
580,
|
| 67 |
+
590,
|
| 68 |
+
600,
|
| 69 |
+
610,
|
| 70 |
+
620,
|
| 71 |
+
630,
|
| 72 |
+
640,
|
| 73 |
+
650,
|
| 74 |
+
660,
|
| 75 |
+
670,
|
| 76 |
+
680,
|
| 77 |
+
690,
|
| 78 |
+
700,
|
| 79 |
+
710,
|
| 80 |
+
720,
|
| 81 |
+
730,
|
| 82 |
+
740,
|
| 83 |
+
750,
|
| 84 |
+
760,
|
| 85 |
+
770,
|
| 86 |
+
780,
|
| 87 |
+
790,
|
| 88 |
+
800,
|
| 89 |
+
810,
|
| 90 |
+
820,
|
| 91 |
+
830,
|
| 92 |
+
840,
|
| 93 |
+
850,
|
| 94 |
+
860,
|
| 95 |
+
870,
|
| 96 |
+
880,
|
| 97 |
+
890,
|
| 98 |
+
900,
|
| 99 |
+
910,
|
| 100 |
+
920,
|
| 101 |
+
930,
|
| 102 |
+
940,
|
| 103 |
+
950,
|
| 104 |
+
960,
|
| 105 |
+
970,
|
| 106 |
+
980,
|
| 107 |
+
990,
|
| 108 |
+
1000,
|
| 109 |
+
1010,
|
| 110 |
+
1020,
|
| 111 |
+
1030,
|
| 112 |
+
1040,
|
| 113 |
+
1050,
|
| 114 |
+
1060,
|
| 115 |
+
1070,
|
| 116 |
+
1080,
|
| 117 |
+
1090,
|
| 118 |
+
1100,
|
| 119 |
+
1110,
|
| 120 |
+
1120,
|
| 121 |
+
1130,
|
| 122 |
+
1140,
|
| 123 |
+
1150,
|
| 124 |
+
1160,
|
| 125 |
+
1170,
|
| 126 |
+
1180,
|
| 127 |
+
1190,
|
| 128 |
+
1200,
|
| 129 |
+
1210,
|
| 130 |
+
1220,
|
| 131 |
+
1230,
|
| 132 |
+
1240,
|
| 133 |
+
1250,
|
| 134 |
+
1260,
|
| 135 |
+
1270,
|
| 136 |
+
1280,
|
| 137 |
+
1290,
|
| 138 |
+
1300,
|
| 139 |
+
1310,
|
| 140 |
+
1320,
|
| 141 |
+
1330,
|
| 142 |
+
1340,
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|
| 2309 |
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|
| 2310 |
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|
| 2311 |
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| 2312 |
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|
| 2313 |
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|
| 2314 |
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| 2315 |
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|
| 2316 |
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|
| 2317 |
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| 2318 |
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| 2319 |
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| 2320 |
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| 2321 |
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| 2322 |
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| 2323 |
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| 2324 |
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|
| 2325 |
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|
| 2326 |
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|
| 2327 |
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|
| 2328 |
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|
| 2329 |
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|
| 2330 |
+
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|
| 2331 |
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"scale": 2.0,
|
| 2332 |
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"start_step": 0,
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"torch": "2.7.1+cu128",
|
| 2334 |
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"device": "cuda",
|
| 2335 |
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"base_dtype": "torch.bfloat16"
|
| 2336 |
+
}
|
t1/t1_0.6B_sql_r16_lr2e-4/metrics.npz
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:b4234addec7b55e0521de91222471c027fe89f68bbc0830ebbd3555fbb9e5d42
|
| 3 |
+
size 1752193
|
t1/t1_0.6B_sql_r16_lr2e-4/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:1dc16a40d883b5c1648591a53a2d28133c6b4fed96c75894cfd00e61596185bd
|
| 3 |
+
size 1266298838
|
t1/t1_0.6B_sql_r4_lr2e-4/config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"run_id": "t1_0.6B_sql_r4_lr2e-4",
|
| 3 |
+
"model_id": "Qwen/Qwen3-0.6B-Base",
|
| 4 |
+
"task": "sql",
|
| 5 |
+
"seq_len": 512,
|
| 6 |
+
"batch_size": 8,
|
| 7 |
+
"grad_accum": 1,
|
| 8 |
+
"max_steps": 1500,
|
| 9 |
+
"lora_r": 4,
|
| 10 |
+
"lora_alpha": null,
|
| 11 |
+
"targets": [
|
| 12 |
+
"q_proj",
|
| 13 |
+
"k_proj",
|
| 14 |
+
"v_proj",
|
| 15 |
+
"o_proj"
|
| 16 |
+
],
|
| 17 |
+
"optimizer": "adamw",
|
| 18 |
+
"lr": 0.0002,
|
| 19 |
+
"weight_decay": 0.01,
|
| 20 |
+
"betas": [
|
| 21 |
+
0.9,
|
| 22 |
+
0.999
|
| 23 |
+
],
|
| 24 |
+
"grad_clip": 1.0,
|
| 25 |
+
"snapshot_every": 10,
|
| 26 |
+
"probe_every": 10,
|
| 27 |
+
"eval_every": 100,
|
| 28 |
+
"eval_batches": 8,
|
| 29 |
+
"seed": 17,
|
| 30 |
+
"data_seed": 17,
|
| 31 |
+
"warm_start": null,
|
| 32 |
+
"gauge_transform": "none",
|
| 33 |
+
"gauge_c": 4.0,
|
| 34 |
+
"gauge_seed": 0,
|
| 35 |
+
"save_warm_at": null,
|
| 36 |
+
"device": "auto",
|
| 37 |
+
"base_dtype": "auto",
|
| 38 |
+
"out_root": "runs"
|
| 39 |
+
}
|
t1/t1_0.6B_sql_r4_lr2e-4/log.txt
ADDED
|
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|
| 1 |
+
Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
|
| 2 |
+
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+
Loading weights: 0%| | 0/310 [00:00<?, ?it/s]
|
| 4 |
+
Loading weights: 100%|██████████| 310/310 [00:00<00:00, 16694.93it/s]
|
| 5 |
+
[t1_0.6B_sql_r4_lr2e-4] step 50/1500 loss 0.2076 (40s)
|
| 6 |
+
[t1_0.6B_sql_r4_lr2e-4] step 100/1500 loss 0.1346 (78s)
|
| 7 |
+
[t1_0.6B_sql_r4_lr2e-4] step 150/1500 loss 0.1109 (114s)
|
| 8 |
+
[t1_0.6B_sql_r4_lr2e-4] step 200/1500 loss 0.0944 (152s)
|
| 9 |
+
[t1_0.6B_sql_r4_lr2e-4] step 250/1500 loss 0.0913 (188s)
|
| 10 |
+
[t1_0.6B_sql_r4_lr2e-4] step 300/1500 loss 0.0822 (226s)
|
| 11 |
+
[t1_0.6B_sql_r4_lr2e-4] step 350/1500 loss 0.0765 (262s)
|
| 12 |
+
[t1_0.6B_sql_r4_lr2e-4] step 400/1500 loss 0.0717 (300s)
|
| 13 |
+
[t1_0.6B_sql_r4_lr2e-4] step 450/1500 loss 0.0705 (336s)
|
| 14 |
+
[t1_0.6B_sql_r4_lr2e-4] step 500/1500 loss 0.0732 (374s)
|
| 15 |
+
[t1_0.6B_sql_r4_lr2e-4] step 550/1500 loss 0.0665 (411s)
|
| 16 |
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[t1_0.6B_sql_r4_lr2e-4] step 600/1500 loss 0.0839 (448s)
|
| 17 |
+
[t1_0.6B_sql_r4_lr2e-4] step 650/1500 loss 0.0611 (485s)
|
| 18 |
+
[t1_0.6B_sql_r4_lr2e-4] step 700/1500 loss 0.0527 (522s)
|
| 19 |
+
[t1_0.6B_sql_r4_lr2e-4] step 750/1500 loss 0.0602 (559s)
|
| 20 |
+
[t1_0.6B_sql_r4_lr2e-4] step 800/1500 loss 0.0649 (597s)
|
| 21 |
+
[t1_0.6B_sql_r4_lr2e-4] step 850/1500 loss 0.0588 (633s)
|
| 22 |
+
[t1_0.6B_sql_r4_lr2e-4] step 900/1500 loss 0.0479 (671s)
|
| 23 |
+
[t1_0.6B_sql_r4_lr2e-4] step 950/1500 loss 0.0446 (707s)
|
| 24 |
+
[t1_0.6B_sql_r4_lr2e-4] step 1000/1500 loss 0.0484 (745s)
|
| 25 |
+
[t1_0.6B_sql_r4_lr2e-4] step 1050/1500 loss 0.0469 (781s)
|
| 26 |
+
[t1_0.6B_sql_r4_lr2e-4] step 1100/1500 loss 0.0469 (819s)
|
| 27 |
+
[t1_0.6B_sql_r4_lr2e-4] step 1150/1500 loss 0.0494 (855s)
|
| 28 |
+
[t1_0.6B_sql_r4_lr2e-4] step 1200/1500 loss 0.0507 (893s)
|
| 29 |
+
[t1_0.6B_sql_r4_lr2e-4] step 1250/1500 loss 0.0411 (930s)
|
| 30 |
+
[t1_0.6B_sql_r4_lr2e-4] step 1300/1500 loss 0.0437 (967s)
|
| 31 |
+
[t1_0.6B_sql_r4_lr2e-4] step 1350/1500 loss 0.0506 (1004s)
|
| 32 |
+
[t1_0.6B_sql_r4_lr2e-4] step 1400/1500 loss 0.0379 (1042s)
|
| 33 |
+
[t1_0.6B_sql_r4_lr2e-4] step 1450/1500 loss 0.0419 (1078s)
|
| 34 |
+
[t1_0.6B_sql_r4_lr2e-4] step 1500/1500 loss 0.0408 (1116s)
|
| 35 |
+
[t1_0.6B_sql_r4_lr2e-4] DONE in 1116s -> runs/t1_0.6B_sql_r4_lr2e-4
|
t1/t1_0.6B_sql_r4_lr2e-4/meta.json
ADDED
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@@ -0,0 +1,2336 @@
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| 1 |
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{
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| 2 |
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|
| 2309 |
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|
| 2310 |
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| 2311 |
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|
| 2313 |
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|
| 2314 |
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|
| 2315 |
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|
| 2316 |
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|
| 2317 |
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|
| 2318 |
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|
| 2319 |
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|
| 2320 |
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|
| 2321 |
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|
| 2322 |
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|
| 2323 |
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|
| 2324 |
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|
| 2325 |
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|
| 2326 |
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|
| 2327 |
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|
| 2328 |
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|
| 2329 |
+
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|
| 2330 |
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],
|
| 2331 |
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"scale": 2.0,
|
| 2332 |
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"start_step": 0,
|
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|
| 2334 |
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"device": "cuda",
|
| 2335 |
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"base_dtype": "torch.bfloat16"
|
| 2336 |
+
}
|
t1/t1_0.6B_sql_r4_lr2e-4/metrics.npz
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:3783cb4a3b68d813dfe86502274dcc06b5cdadce391d71b882ed241b2e15bc6a
|
| 3 |
+
size 1043159
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t1/t1_0.6B_sql_r4_lr2e-4/trajectory.dat.zst
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:aed0af79cc120250ba990ff2eb23bc85760a69d94cea96164211193bbf09a270
|
| 3 |
+
size 317922293
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t1/t1_0.6B_sql_r64_lr2e-4/config.json
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+
{
|
| 2 |
+
"run_id": "t1_0.6B_sql_r64_lr2e-4",
|
| 3 |
+
"model_id": "Qwen/Qwen3-0.6B-Base",
|
| 4 |
+
"task": "sql",
|
| 5 |
+
"seq_len": 512,
|
| 6 |
+
"batch_size": 8,
|
| 7 |
+
"grad_accum": 1,
|
| 8 |
+
"max_steps": 1500,
|
| 9 |
+
"lora_r": 64,
|
| 10 |
+
"lora_alpha": null,
|
| 11 |
+
"targets": [
|
| 12 |
+
"q_proj",
|
| 13 |
+
"k_proj",
|
| 14 |
+
"v_proj",
|
| 15 |
+
"o_proj"
|
| 16 |
+
],
|
| 17 |
+
"optimizer": "adamw",
|
| 18 |
+
"lr": 0.0002,
|
| 19 |
+
"weight_decay": 0.01,
|
| 20 |
+
"betas": [
|
| 21 |
+
0.9,
|
| 22 |
+
0.999
|
| 23 |
+
],
|
| 24 |
+
"grad_clip": 1.0,
|
| 25 |
+
"snapshot_every": 10,
|
| 26 |
+
"probe_every": 10,
|
| 27 |
+
"eval_every": 100,
|
| 28 |
+
"eval_batches": 8,
|
| 29 |
+
"seed": 17,
|
| 30 |
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"data_seed": 17,
|
| 31 |
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"warm_start": null,
|
| 32 |
+
"gauge_transform": "none",
|
| 33 |
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"gauge_c": 4.0,
|
| 34 |
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"gauge_seed": 0,
|
| 35 |
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"save_warm_at": null,
|
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"device": "auto",
|
| 37 |
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"base_dtype": "auto",
|
| 38 |
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"out_root": "runs"
|
| 39 |
+
}
|
t1/t1_0.6B_sql_r64_lr2e-4/log.txt
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[t1_0.6B_sql_r64_lr2e-4] step 50/1500 loss 0.1642 (106s)
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[t1_0.6B_sql_r64_lr2e-4] step 1500/1500 loss 0.0478 (1426s)
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| 49 |
+
[t1_0.6B_sql_r64_lr2e-4] DONE in 1426s -> runs/t1_0.6B_sql_r64_lr2e-4
|
t1/t1_0.6B_sql_r64_lr2e-4/meta.json
ADDED
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| 2307 |
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| 2308 |
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|
| 2309 |
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|
| 2310 |
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|
| 2311 |
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|
| 2312 |
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|
| 2313 |
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|
| 2314 |
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|
| 2315 |
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|
| 2316 |
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|
| 2317 |
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|
| 2318 |
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|
| 2319 |
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|
| 2320 |
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|
| 2321 |
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|
| 2322 |
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|
| 2323 |
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|
| 2324 |
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|
| 2325 |
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|
| 2326 |
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|
| 2327 |
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|
| 2328 |
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|
| 2329 |
+
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|
| 2330 |
+
],
|
| 2331 |
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"scale": 2.0,
|
| 2332 |
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"start_step": 0,
|
| 2333 |
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"torch": "2.7.1+cu128",
|
| 2334 |
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"device": "cuda",
|
| 2335 |
+
"base_dtype": "torch.bfloat16"
|
| 2336 |
+
}
|
t1/t1_0.6B_sql_r64_lr2e-4/metrics.npz
ADDED
|
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:6247b0764de7a7bf0b0c478aad5bd7750ecf7084d9bed9cf39b941d9e1e24556
|
| 3 |
+
size 4632920
|
t1/t1_0.6B_sql_r64_lr2e-4/trajectory.dat.zst
ADDED
|
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+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:2cb8a3d015720039803d7f25bba804e0ef3757ca4c428cfae3e80f00891e38f4
|
| 3 |
+
size 5038007858
|
t1/t1_0.6B_tulu_r16_lr1e-3/config.json
ADDED
|
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| 1 |
+
{
|
| 2 |
+
"run_id": "t1_0.6B_tulu_r16_lr1e-3",
|
| 3 |
+
"model_id": "Qwen/Qwen3-0.6B-Base",
|
| 4 |
+
"task": "tulu",
|
| 5 |
+
"seq_len": 512,
|
| 6 |
+
"batch_size": 8,
|
| 7 |
+
"grad_accum": 1,
|
| 8 |
+
"max_steps": 1500,
|
| 9 |
+
"lora_r": 16,
|
| 10 |
+
"lora_alpha": null,
|
| 11 |
+
"targets": [
|
| 12 |
+
"q_proj",
|
| 13 |
+
"k_proj",
|
| 14 |
+
"v_proj",
|
| 15 |
+
"o_proj"
|
| 16 |
+
],
|
| 17 |
+
"optimizer": "adamw",
|
| 18 |
+
"lr": 0.001,
|
| 19 |
+
"weight_decay": 0.01,
|
| 20 |
+
"betas": [
|
| 21 |
+
0.9,
|
| 22 |
+
0.999
|
| 23 |
+
],
|
| 24 |
+
"grad_clip": 1.0,
|
| 25 |
+
"snapshot_every": 10,
|
| 26 |
+
"probe_every": 10,
|
| 27 |
+
"eval_every": 100,
|
| 28 |
+
"eval_batches": 8,
|
| 29 |
+
"seed": 17,
|
| 30 |
+
"data_seed": 17,
|
| 31 |
+
"warm_start": null,
|
| 32 |
+
"gauge_transform": "none",
|
| 33 |
+
"gauge_c": 4.0,
|
| 34 |
+
"gauge_seed": 0,
|
| 35 |
+
"save_warm_at": null,
|
| 36 |
+
"device": "auto",
|
| 37 |
+
"base_dtype": "auto",
|
| 38 |
+
"out_root": "runs"
|
| 39 |
+
}
|
t1/t1_0.6B_tulu_r16_lr1e-3/log.txt
ADDED
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| 1 |
+
Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
|
| 2 |
+
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| 3 |
+
Loading weights: 0%| | 0/310 [00:00<?, ?it/s]
|
| 4 |
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Loading weights: 34%|███▍ | 105/310 [00:00<00:00, 468.23it/s]
|
| 5 |
+
Loading weights: 49%|████▉ | 152/310 [00:00<00:00, 444.96it/s]
|
| 6 |
+
Loading weights: 64%|██████▍ | 199/310 [00:00<00:00, 424.18it/s]
|
| 7 |
+
Loading weights: 100%|██████████| 310/310 [00:00<00:00, 627.88it/s]
|
| 8 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 50/1500 loss 1.0720 (54s)
|
| 9 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 100/1500 loss 1.1461 (93s)
|
| 10 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 150/1500 loss 1.1173 (130s)
|
| 11 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 200/1500 loss 1.1834 (168s)
|
| 12 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 250/1500 loss 1.0609 (205s)
|
| 13 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 300/1500 loss 1.0696 (244s)
|
| 14 |
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[t1_0.6B_tulu_r16_lr1e-3] step 350/1500 loss 1.1186 (281s)
|
| 15 |
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[t1_0.6B_tulu_r16_lr1e-3] step 400/1500 loss 1.0357 (320s)
|
| 16 |
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[t1_0.6B_tulu_r16_lr1e-3] step 450/1500 loss 1.0654 (357s)
|
| 17 |
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[t1_0.6B_tulu_r16_lr1e-3] step 500/1500 loss 1.1342 (395s)
|
| 18 |
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[t1_0.6B_tulu_r16_lr1e-3] step 550/1500 loss 1.0256 (432s)
|
| 19 |
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[t1_0.6B_tulu_r16_lr1e-3] step 600/1500 loss 1.0904 (471s)
|
| 20 |
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[t1_0.6B_tulu_r16_lr1e-3] step 650/1500 loss 1.1338 (508s)
|
| 21 |
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[t1_0.6B_tulu_r16_lr1e-3] step 700/1500 loss 1.1193 (547s)
|
| 22 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 750/1500 loss 1.0875 (584s)
|
| 23 |
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[t1_0.6B_tulu_r16_lr1e-3] step 800/1500 loss 1.0040 (622s)
|
| 24 |
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[t1_0.6B_tulu_r16_lr1e-3] step 850/1500 loss 1.1096 (659s)
|
| 25 |
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[t1_0.6B_tulu_r16_lr1e-3] step 900/1500 loss 1.0981 (698s)
|
| 26 |
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[t1_0.6B_tulu_r16_lr1e-3] step 950/1500 loss 0.9917 (735s)
|
| 27 |
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[t1_0.6B_tulu_r16_lr1e-3] step 1000/1500 loss 1.0637 (774s)
|
| 28 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 1050/1500 loss 1.0258 (811s)
|
| 29 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 1100/1500 loss 1.0847 (850s)
|
| 30 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 1150/1500 loss 1.2164 (887s)
|
| 31 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 1200/1500 loss 1.0875 (925s)
|
| 32 |
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[t1_0.6B_tulu_r16_lr1e-3] step 1250/1500 loss 1.2291 (962s)
|
| 33 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 1300/1500 loss 1.1070 (1001s)
|
| 34 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 1350/1500 loss 1.0534 (1038s)
|
| 35 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 1400/1500 loss 1.2286 (1077s)
|
| 36 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 1450/1500 loss 1.1376 (1114s)
|
| 37 |
+
[t1_0.6B_tulu_r16_lr1e-3] step 1500/1500 loss 1.0958 (1152s)
|
| 38 |
+
[t1_0.6B_tulu_r16_lr1e-3] DONE in 1153s -> runs/t1_0.6B_tulu_r16_lr1e-3
|
t1/t1_0.6B_tulu_r16_lr1e-3/meta.json
ADDED
|
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|
| 2265 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 2278 |
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|
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|
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|
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|
| 2282 |
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|
| 2283 |
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|
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|
| 2285 |
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|
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|
| 2287 |
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|
| 2288 |
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|
| 2289 |
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|
| 2290 |
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|
| 2291 |
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|
| 2292 |
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|
| 2293 |
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|
| 2294 |
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|
| 2295 |
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|
| 2296 |
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|
| 2297 |
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|
| 2298 |
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|
| 2299 |
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|
| 2300 |
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|
| 2301 |
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|
| 2302 |
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|
| 2303 |
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|
| 2304 |
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|
| 2305 |
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|
| 2306 |
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|
| 2307 |
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|
| 2308 |
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|
| 2309 |
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|
| 2310 |
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|
| 2311 |
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|
| 2312 |
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|
| 2313 |
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|
| 2314 |
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|
| 2315 |
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|
| 2316 |
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|
| 2317 |
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|
| 2318 |
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|
| 2319 |
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|
| 2320 |
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|
| 2321 |
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|
| 2322 |
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|
| 2323 |
+
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|
| 2324 |
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|
| 2325 |
+
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|
| 2326 |
+
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|
| 2327 |
+
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|
| 2328 |
+
"base_model.model.model.layers.9.self_attn.q_proj",
|
| 2329 |
+
"base_model.model.model.layers.9.self_attn.v_proj"
|
| 2330 |
+
],
|
| 2331 |
+
"scale": 2.0,
|
| 2332 |
+
"start_step": 0,
|
| 2333 |
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"torch": "2.7.1+cu128",
|
| 2334 |
+
"device": "cuda",
|
| 2335 |
+
"base_dtype": "torch.bfloat16"
|
| 2336 |
+
}
|
t1/t1_0.6B_tulu_r16_lr1e-3/metrics.npz
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:15a699cc0fa8f9f77568b67ddd676982aa47891c17747dcd4332866786962095
|
| 3 |
+
size 4018061
|
t1/t1_0.6B_tulu_r16_lr1e-3/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4fbe02285e5f7f40039345e8e4b5342063ea5614c19e62dde30fee23f25f056b
|
| 3 |
+
size 1270176517
|
t1/t1_0.6B_tulu_r16_lr2e-4/config.json
ADDED
|
@@ -0,0 +1,39 @@
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|
| 1 |
+
{
|
| 2 |
+
"run_id": "t1_0.6B_tulu_r16_lr2e-4",
|
| 3 |
+
"model_id": "Qwen/Qwen3-0.6B-Base",
|
| 4 |
+
"task": "tulu",
|
| 5 |
+
"seq_len": 512,
|
| 6 |
+
"batch_size": 8,
|
| 7 |
+
"grad_accum": 1,
|
| 8 |
+
"max_steps": 1500,
|
| 9 |
+
"lora_r": 16,
|
| 10 |
+
"lora_alpha": null,
|
| 11 |
+
"targets": [
|
| 12 |
+
"q_proj",
|
| 13 |
+
"k_proj",
|
| 14 |
+
"v_proj",
|
| 15 |
+
"o_proj"
|
| 16 |
+
],
|
| 17 |
+
"optimizer": "adamw",
|
| 18 |
+
"lr": 0.0002,
|
| 19 |
+
"weight_decay": 0.01,
|
| 20 |
+
"betas": [
|
| 21 |
+
0.9,
|
| 22 |
+
0.999
|
| 23 |
+
],
|
| 24 |
+
"grad_clip": 1.0,
|
| 25 |
+
"snapshot_every": 10,
|
| 26 |
+
"probe_every": 10,
|
| 27 |
+
"eval_every": 100,
|
| 28 |
+
"eval_batches": 8,
|
| 29 |
+
"seed": 17,
|
| 30 |
+
"data_seed": 17,
|
| 31 |
+
"warm_start": null,
|
| 32 |
+
"gauge_transform": "none",
|
| 33 |
+
"gauge_c": 4.0,
|
| 34 |
+
"gauge_seed": 0,
|
| 35 |
+
"save_warm_at": null,
|
| 36 |
+
"device": "auto",
|
| 37 |
+
"base_dtype": "auto",
|
| 38 |
+
"out_root": "runs"
|
| 39 |
+
}
|
t1/t1_0.6B_tulu_r16_lr2e-4/log.txt
ADDED
|
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|
| 1 |
+
Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
|
| 2 |
+
|
| 3 |
+
Loading weights: 0%| | 0/310 [00:00<?, ?it/s]
|
| 4 |
+
Loading weights: 100%|██████████| 310/310 [00:00<00:00, 14848.79it/s]
|
| 5 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 50/1500 loss 1.0501 (42s)
|
| 6 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 100/1500 loss 1.0298 (80s)
|
| 7 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 150/1500 loss 1.0424 (117s)
|
| 8 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 200/1500 loss 1.1208 (156s)
|
| 9 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 250/1500 loss 0.9948 (193s)
|
| 10 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 300/1500 loss 1.0030 (232s)
|
| 11 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 350/1500 loss 1.0433 (269s)
|
| 12 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 400/1500 loss 0.9598 (307s)
|
| 13 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 450/1500 loss 0.9741 (344s)
|
| 14 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 500/1500 loss 1.0208 (383s)
|
| 15 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 550/1500 loss 0.9226 (420s)
|
| 16 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 600/1500 loss 0.9756 (459s)
|
| 17 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 650/1500 loss 1.0230 (496s)
|
| 18 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 700/1500 loss 1.0072 (536s)
|
| 19 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 750/1500 loss 0.9760 (573s)
|
| 20 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 800/1500 loss 0.8946 (611s)
|
| 21 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 850/1500 loss 0.9845 (648s)
|
| 22 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 900/1500 loss 0.9848 (687s)
|
| 23 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 950/1500 loss 0.8796 (724s)
|
| 24 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 1000/1500 loss 0.9424 (763s)
|
| 25 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 1050/1500 loss 0.9029 (800s)
|
| 26 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 1100/1500 loss 0.9608 (839s)
|
| 27 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 1150/1500 loss 1.0799 (876s)
|
| 28 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 1200/1500 loss 0.9636 (915s)
|
| 29 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 1250/1500 loss 1.0823 (952s)
|
| 30 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 1300/1500 loss 0.9688 (990s)
|
| 31 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 1350/1500 loss 0.9043 (1027s)
|
| 32 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 1400/1500 loss 1.0837 (1066s)
|
| 33 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 1450/1500 loss 1.0019 (1103s)
|
| 34 |
+
[t1_0.6B_tulu_r16_lr2e-4] step 1500/1500 loss 0.9575 (1142s)
|
| 35 |
+
[t1_0.6B_tulu_r16_lr2e-4] DONE in 1142s -> runs/t1_0.6B_tulu_r16_lr2e-4
|
t1/t1_0.6B_tulu_r16_lr2e-4/meta.json
ADDED
|
@@ -0,0 +1,2336 @@
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|
| 2295 |
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|
| 2296 |
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|
| 2297 |
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|
| 2298 |
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|
| 2299 |
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|
| 2300 |
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|
| 2301 |
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|
| 2302 |
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|
| 2303 |
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|
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|
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|
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|
| 2307 |
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|
| 2308 |
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|
| 2309 |
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|
| 2310 |
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|
| 2311 |
+
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|
| 2312 |
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|
| 2313 |
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|
| 2314 |
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|
| 2315 |
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|
| 2316 |
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|
| 2317 |
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|
| 2318 |
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|
| 2319 |
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|
| 2320 |
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|
| 2321 |
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|
| 2322 |
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|
| 2323 |
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|
| 2324 |
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|
| 2325 |
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|
| 2326 |
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|
| 2327 |
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|
| 2328 |
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"base_model.model.model.layers.9.self_attn.q_proj",
|
| 2329 |
+
"base_model.model.model.layers.9.self_attn.v_proj"
|
| 2330 |
+
],
|
| 2331 |
+
"scale": 2.0,
|
| 2332 |
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"start_step": 0,
|
| 2333 |
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"torch": "2.7.1+cu128",
|
| 2334 |
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"device": "cuda",
|
| 2335 |
+
"base_dtype": "torch.bfloat16"
|
| 2336 |
+
}
|
t1/t1_0.6B_tulu_r16_lr2e-4/metrics.npz
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:d7a4839eab5167e5a325562b0773180674723d1b1bd0ad7d85863c98cfe4a450
|
| 3 |
+
size 3993716
|
t1/t1_0.6B_tulu_r16_lr2e-4/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
|
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|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:8730130e38c30467a76e3127b52b287692e6b2f71d978990c2c611578ad88741
|
| 3 |
+
size 1267278522
|
t1/t1_0.6B_tulu_r4_lr2e-4/config.json
ADDED
|
@@ -0,0 +1,39 @@
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|
| 1 |
+
{
|
| 2 |
+
"run_id": "t1_0.6B_tulu_r4_lr2e-4",
|
| 3 |
+
"model_id": "Qwen/Qwen3-0.6B-Base",
|
| 4 |
+
"task": "tulu",
|
| 5 |
+
"seq_len": 512,
|
| 6 |
+
"batch_size": 8,
|
| 7 |
+
"grad_accum": 1,
|
| 8 |
+
"max_steps": 1500,
|
| 9 |
+
"lora_r": 4,
|
| 10 |
+
"lora_alpha": null,
|
| 11 |
+
"targets": [
|
| 12 |
+
"q_proj",
|
| 13 |
+
"k_proj",
|
| 14 |
+
"v_proj",
|
| 15 |
+
"o_proj"
|
| 16 |
+
],
|
| 17 |
+
"optimizer": "adamw",
|
| 18 |
+
"lr": 0.0002,
|
| 19 |
+
"weight_decay": 0.01,
|
| 20 |
+
"betas": [
|
| 21 |
+
0.9,
|
| 22 |
+
0.999
|
| 23 |
+
],
|
| 24 |
+
"grad_clip": 1.0,
|
| 25 |
+
"snapshot_every": 10,
|
| 26 |
+
"probe_every": 10,
|
| 27 |
+
"eval_every": 100,
|
| 28 |
+
"eval_batches": 8,
|
| 29 |
+
"seed": 17,
|
| 30 |
+
"data_seed": 17,
|
| 31 |
+
"warm_start": null,
|
| 32 |
+
"gauge_transform": "none",
|
| 33 |
+
"gauge_c": 4.0,
|
| 34 |
+
"gauge_seed": 0,
|
| 35 |
+
"save_warm_at": null,
|
| 36 |
+
"device": "auto",
|
| 37 |
+
"base_dtype": "auto",
|
| 38 |
+
"out_root": "runs"
|
| 39 |
+
}
|
t1/t1_0.6B_tulu_r4_lr2e-4/log.txt
ADDED
|
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| 1 |
+
Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
|
| 2 |
+
|
| 3 |
+
Loading weights: 0%| | 0/310 [00:00<?, ?it/s]
|
| 4 |
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Loading weights: 1%| | 2/310 [00:00<00:17, 18.09it/s]
|
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Loading weights: 2%|▏ | 5/310 [00:00<00:12, 23.71it/s]
|
| 6 |
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Loading weights: 4%|▍ | 13/310 [00:00<00:06, 45.86it/s]
|
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Loading weights: 20%|█▉ | 61/310 [00:00<00:01, 141.86it/s]
|
| 8 |
+
Loading weights: 32%|███▏ | 99/310 [00:00<00:01, 196.36it/s]
|
| 9 |
+
Loading weights: 65%|██████▍ | 200/310 [00:00<00:00, 405.46it/s]
|
| 10 |
+
Loading weights: 79%|███████▉ | 245/310 [00:00<00:00, 341.10it/s]
|
| 11 |
+
Loading weights: 91%|█████████▏| 283/310 [00:01<00:00, 242.07it/s]
|
| 12 |
+
Loading weights: 100%|██████████| 310/310 [00:01<00:00, 247.08it/s]
|
| 13 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 50/1500 loss 1.0563 (55s)
|
| 14 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 100/1500 loss 1.0347 (93s)
|
| 15 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 150/1500 loss 1.0480 (129s)
|
| 16 |
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[t1_0.6B_tulu_r4_lr2e-4] step 200/1500 loss 1.1248 (167s)
|
| 17 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 250/1500 loss 1.0008 (204s)
|
| 18 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 300/1500 loss 1.0073 (242s)
|
| 19 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 350/1500 loss 1.0499 (278s)
|
| 20 |
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[t1_0.6B_tulu_r4_lr2e-4] step 400/1500 loss 0.9672 (316s)
|
| 21 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 450/1500 loss 0.9829 (353s)
|
| 22 |
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[t1_0.6B_tulu_r4_lr2e-4] step 500/1500 loss 1.0272 (391s)
|
| 23 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 550/1500 loss 0.9280 (427s)
|
| 24 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 600/1500 loss 0.9781 (465s)
|
| 25 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 650/1500 loss 1.0250 (502s)
|
| 26 |
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[t1_0.6B_tulu_r4_lr2e-4] step 700/1500 loss 1.0099 (540s)
|
| 27 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 750/1500 loss 0.9785 (576s)
|
| 28 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 800/1500 loss 0.8983 (615s)
|
| 29 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 850/1500 loss 0.9862 (651s)
|
| 30 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 900/1500 loss 0.9854 (689s)
|
| 31 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 950/1500 loss 0.8797 (726s)
|
| 32 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 1000/1500 loss 0.9417 (764s)
|
| 33 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 1050/1500 loss 0.9045 (800s)
|
| 34 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 1100/1500 loss 0.9634 (838s)
|
| 35 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 1150/1500 loss 1.0819 (875s)
|
| 36 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 1200/1500 loss 0.9652 (913s)
|
| 37 |
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[t1_0.6B_tulu_r4_lr2e-4] step 1250/1500 loss 1.0838 (949s)
|
| 38 |
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[t1_0.6B_tulu_r4_lr2e-4] step 1300/1500 loss 0.9703 (988s)
|
| 39 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 1350/1500 loss 0.9065 (1024s)
|
| 40 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 1400/1500 loss 1.0859 (1062s)
|
| 41 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 1450/1500 loss 1.0055 (1099s)
|
| 42 |
+
[t1_0.6B_tulu_r4_lr2e-4] step 1500/1500 loss 0.9602 (1137s)
|
| 43 |
+
[t1_0.6B_tulu_r4_lr2e-4] DONE in 1137s -> runs/t1_0.6B_tulu_r4_lr2e-4
|
t1/t1_0.6B_tulu_r4_lr2e-4/meta.json
ADDED
|
@@ -0,0 +1,2336 @@
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| 2314 |
+
"base_model.model.model.layers.6.self_attn.k_proj",
|
| 2315 |
+
"base_model.model.model.layers.6.self_attn.o_proj",
|
| 2316 |
+
"base_model.model.model.layers.6.self_attn.q_proj",
|
| 2317 |
+
"base_model.model.model.layers.6.self_attn.v_proj",
|
| 2318 |
+
"base_model.model.model.layers.7.self_attn.k_proj",
|
| 2319 |
+
"base_model.model.model.layers.7.self_attn.o_proj",
|
| 2320 |
+
"base_model.model.model.layers.7.self_attn.q_proj",
|
| 2321 |
+
"base_model.model.model.layers.7.self_attn.v_proj",
|
| 2322 |
+
"base_model.model.model.layers.8.self_attn.k_proj",
|
| 2323 |
+
"base_model.model.model.layers.8.self_attn.o_proj",
|
| 2324 |
+
"base_model.model.model.layers.8.self_attn.q_proj",
|
| 2325 |
+
"base_model.model.model.layers.8.self_attn.v_proj",
|
| 2326 |
+
"base_model.model.model.layers.9.self_attn.k_proj",
|
| 2327 |
+
"base_model.model.model.layers.9.self_attn.o_proj",
|
| 2328 |
+
"base_model.model.model.layers.9.self_attn.q_proj",
|
| 2329 |
+
"base_model.model.model.layers.9.self_attn.v_proj"
|
| 2330 |
+
],
|
| 2331 |
+
"scale": 2.0,
|
| 2332 |
+
"start_step": 0,
|
| 2333 |
+
"torch": "2.7.1+cu128",
|
| 2334 |
+
"device": "cuda",
|
| 2335 |
+
"base_dtype": "torch.bfloat16"
|
| 2336 |
+
}
|
t1/t1_0.6B_tulu_r4_lr2e-4/metrics.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:91189d1c4ba4a13d2d420d3886646963b43c4e0e666ec9082cd48fea39c88eaa
|
| 3 |
+
size 3296748
|
t1/t1_0.6B_tulu_r4_lr2e-4/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:064498b744f1dbad501fdfeb4eee97c2aa17c29a81ca075464b194466f215c5c
|
| 3 |
+
size 211025920
|