batch-4 retry (public): e2 dynamics family (38 arms)
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- e2/e2_l1_gsm8k_r16_s17/config.json +41 -0
- e2/e2_l1_gsm8k_r16_s17/log.txt +105 -0
- e2/e2_l1_gsm8k_r16_s17/meta.json +2388 -0
- e2/e2_l1_gsm8k_r16_s17/metrics.npz +3 -0
- e2/e2_l1_gsm8k_r16_s17/trajectory.dat.zst +3 -0
- e2/e2_l1_gsm8k_r16_s18/config.json +41 -0
- e2/e2_l1_gsm8k_r16_s18/log.txt +105 -0
- e2/e2_l1_gsm8k_r16_s18/meta.json +2388 -0
- e2/e2_l1_gsm8k_r16_s18/metrics.npz +3 -0
- e2/e2_l1_gsm8k_r16_s18/trajectory.dat.zst +3 -0
- e2/e2_l1_gsm8k_r16_s19/config.json +41 -0
- e2/e2_l1_gsm8k_r16_s19/log.txt +105 -0
- e2/e2_l1_gsm8k_r16_s19/meta.json +2388 -0
- e2/e2_l1_gsm8k_r16_s19/metrics.npz +3 -0
- e2/e2_l1_gsm8k_r16_s19/trajectory.dat.zst +3 -0
- e2/e2_l1_tulu_r16_s17/config.json +41 -0
- e2/e2_l1_tulu_r16_s17/log.txt +105 -0
- e2/e2_l1_tulu_r16_s17/meta.json +2388 -0
- e2/e2_l1_tulu_r16_s17/metrics.npz +3 -0
- e2/e2_l1_tulu_r16_s17/trajectory.dat.zst +3 -0
- e2/e2_l1_tulu_r16_s18/config.json +41 -0
- e2/e2_l1_tulu_r16_s18/log.txt +105 -0
- e2/e2_l1_tulu_r16_s18/meta.json +2388 -0
- e2/e2_l1_tulu_r16_s18/metrics.npz +3 -0
- e2/e2_l1_tulu_r16_s18/trajectory.dat.zst +3 -0
- e2/e2_l1_tulu_r16_s19/config.json +41 -0
- e2/e2_l1_tulu_r16_s19/log.txt +105 -0
- e2/e2_l1_tulu_r16_s19/meta.json +2388 -0
- e2/e2_l1_tulu_r16_s19/metrics.npz +3 -0
- e2/e2_l1_tulu_r16_s19/trajectory.dat.zst +3 -0
- e2/e2_l2_gsm8k_wd0.1_s17/config.json +41 -0
- e2/e2_l2_gsm8k_wd0.1_s17/log.txt +105 -0
- e2/e2_l2_gsm8k_wd0.1_s17/meta.json +2388 -0
- e2/e2_l2_gsm8k_wd0.1_s17/metrics.npz +3 -0
- e2/e2_l2_gsm8k_wd0.1_s17/trajectory.dat.zst +3 -0
- e2/e2_l2_gsm8k_wd1_s17/config.json +41 -0
- e2/e2_l2_gsm8k_wd1_s17/log.txt +105 -0
- e2/e2_l2_gsm8k_wd1_s17/meta.json +2388 -0
- e2/e2_l2_gsm8k_wd1_s17/metrics.npz +3 -0
- e2/e2_l2_gsm8k_wd1_s17/trajectory.dat.zst +3 -0
- e2/e2_o1_gsm8k_s18/config.json +41 -0
- e2/e2_o1_gsm8k_s18/log.txt +21 -0
- e2/e2_o1_gsm8k_s18/meta.json +2268 -0
- e2/e2_o1_gsm8k_s18/metrics.npz +3 -0
- e2/e2_o1_gsm8k_s18/trajectory.dat.zst +3 -0
- e2/e2_o1_gsm8k_s19/config.json +41 -0
- e2/e2_o1_gsm8k_s19/log.txt +21 -0
- e2/e2_o1_gsm8k_s19/meta.json +2268 -0
- e2/e2_o1_gsm8k_s19/metrics.npz +3 -0
- e2/e2_o1_gsm8k_s19/trajectory.dat.zst +3 -0
e2/e2_l1_gsm8k_r16_s17/config.json
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{
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"run_id": "e2_l1_gsm8k_r16_s17",
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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": 5000,
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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": 0.0002,
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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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"momentum": 0.0,
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"adam_eps": 1e-08,
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"grad_clip": 1.0,
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"snapshot_every": 25,
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"probe_every": 50,
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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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e2/e2_l1_gsm8k_r16_s17/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, 5748.95it/s]
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[e2_l1_gsm8k_r16_s17] step 50/5000 loss 0.4826 (39s)
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[e2_l1_gsm8k_r16_s17] step 100/5000 loss 0.4376 (75s)
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[e2_l1_gsm8k_r16_s17] step 150/5000 loss 0.4378 (109s)
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[e2_l1_gsm8k_r16_s17] step 200/5000 loss 0.4157 (145s)
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[e2_l1_gsm8k_r16_s17] step 250/5000 loss 0.4180 (180s)
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[e2_l1_gsm8k_r16_s17] step 300/5000 loss 0.4197 (216s)
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[e2_l1_gsm8k_r16_s17] step 350/5000 loss 0.4321 (251s)
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[e2_l1_gsm8k_r16_s17] step 400/5000 loss 0.4352 (287s)
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[e2_l1_gsm8k_r16_s17] step 450/5000 loss 0.4425 (321s)
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[e2_l1_gsm8k_r16_s17] step 500/5000 loss 0.4078 (357s)
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[e2_l1_gsm8k_r16_s17] step 550/5000 loss 0.4228 (392s)
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[e2_l1_gsm8k_r16_s17] step 700/5000 loss 0.4163 (499s)
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[e2_l1_gsm8k_r16_s17] step 750/5000 loss 0.4011 (533s)
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[e2_l1_gsm8k_r16_s17] step 950/5000 loss 0.3546 (674s)
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[e2_l1_gsm8k_r16_s17] step 1100/5000 loss 0.3580 (781s)
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[e2_l1_gsm8k_r16_s17] step 1500/5000 loss 0.3514 (1064s)
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[e2_l1_gsm8k_r16_s17] step 1550/5000 loss 0.3600 (1099s)
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[e2_l1_gsm8k_r16_s17] step 1600/5000 loss 0.3609 (1135s)
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[e2_l1_gsm8k_r16_s17] step 1650/5000 loss 0.3552 (1169s)
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[e2_l1_gsm8k_r16_s17] step 1700/5000 loss 0.3753 (1206s)
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[e2_l1_gsm8k_r16_s17] step 1950/5000 loss 0.3095 (1380s)
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[e2_l1_gsm8k_r16_s17] step 2200/5000 loss 0.2895 (1556s)
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| 98 |
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[e2_l1_gsm8k_r16_s17] step 4700/5000 loss 0.1505 (3306s)
|
| 99 |
+
[e2_l1_gsm8k_r16_s17] step 4750/5000 loss 0.1445 (3341s)
|
| 100 |
+
[e2_l1_gsm8k_r16_s17] step 4800/5000 loss 0.1382 (3377s)
|
| 101 |
+
[e2_l1_gsm8k_r16_s17] step 4850/5000 loss 0.1452 (3412s)
|
| 102 |
+
[e2_l1_gsm8k_r16_s17] step 4900/5000 loss 0.1506 (3448s)
|
| 103 |
+
[e2_l1_gsm8k_r16_s17] step 4950/5000 loss 0.1651 (3483s)
|
| 104 |
+
[e2_l1_gsm8k_r16_s17] step 5000/5000 loss 0.1476 (3519s)
|
| 105 |
+
[e2_l1_gsm8k_r16_s17] DONE in 3519s -> runs/e2_l1_gsm8k_r16_s17
|
e2/e2_l1_gsm8k_r16_s17/meta.json
ADDED
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@@ -0,0 +1,2388 @@
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|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"n_states": 201,
|
| 3 |
+
"max_states": 204,
|
| 4 |
+
"n_params": 4587520,
|
| 5 |
+
"dtype": "float16",
|
| 6 |
+
"layout": "states x flat named_parameters (requires_grad only)",
|
| 7 |
+
"steps": [
|
| 8 |
+
0,
|
| 9 |
+
25,
|
| 10 |
+
50,
|
| 11 |
+
75,
|
| 12 |
+
100,
|
| 13 |
+
125,
|
| 14 |
+
150,
|
| 15 |
+
175,
|
| 16 |
+
200,
|
| 17 |
+
225,
|
| 18 |
+
250,
|
| 19 |
+
275,
|
| 20 |
+
300,
|
| 21 |
+
325,
|
| 22 |
+
350,
|
| 23 |
+
375,
|
| 24 |
+
400,
|
| 25 |
+
425,
|
| 26 |
+
450,
|
| 27 |
+
475,
|
| 28 |
+
500,
|
| 29 |
+
525,
|
| 30 |
+
550,
|
| 31 |
+
575,
|
| 32 |
+
600,
|
| 33 |
+
625,
|
| 34 |
+
650,
|
| 35 |
+
675,
|
| 36 |
+
700,
|
| 37 |
+
725,
|
| 38 |
+
750,
|
| 39 |
+
775,
|
| 40 |
+
800,
|
| 41 |
+
825,
|
| 42 |
+
850,
|
| 43 |
+
875,
|
| 44 |
+
900,
|
| 45 |
+
925,
|
| 46 |
+
950,
|
| 47 |
+
975,
|
| 48 |
+
1000,
|
| 49 |
+
1025,
|
| 50 |
+
1050,
|
| 51 |
+
1075,
|
| 52 |
+
1100,
|
| 53 |
+
1125,
|
| 54 |
+
1150,
|
| 55 |
+
1175,
|
| 56 |
+
1200,
|
| 57 |
+
1225,
|
| 58 |
+
1250,
|
| 59 |
+
1275,
|
| 60 |
+
1300,
|
| 61 |
+
1325,
|
| 62 |
+
1350,
|
| 63 |
+
1375,
|
| 64 |
+
1400,
|
| 65 |
+
1425,
|
| 66 |
+
1450,
|
| 67 |
+
1475,
|
| 68 |
+
1500,
|
| 69 |
+
1525,
|
| 70 |
+
1550,
|
| 71 |
+
1575,
|
| 72 |
+
1600,
|
| 73 |
+
1625,
|
| 74 |
+
1650,
|
| 75 |
+
1675,
|
| 76 |
+
1700,
|
| 77 |
+
1725,
|
| 78 |
+
1750,
|
| 79 |
+
1775,
|
| 80 |
+
1800,
|
| 81 |
+
1825,
|
| 82 |
+
1850,
|
| 83 |
+
1875,
|
| 84 |
+
1900,
|
| 85 |
+
1925,
|
| 86 |
+
1950,
|
| 87 |
+
1975,
|
| 88 |
+
2000,
|
| 89 |
+
2025,
|
| 90 |
+
2050,
|
| 91 |
+
2075,
|
| 92 |
+
2100,
|
| 93 |
+
2125,
|
| 94 |
+
2150,
|
| 95 |
+
2175,
|
| 96 |
+
2200,
|
| 97 |
+
2225,
|
| 98 |
+
2250,
|
| 99 |
+
2275,
|
| 100 |
+
2300,
|
| 101 |
+
2325,
|
| 102 |
+
2350,
|
| 103 |
+
2375,
|
| 104 |
+
2400,
|
| 105 |
+
2425,
|
| 106 |
+
2450,
|
| 107 |
+
2475,
|
| 108 |
+
2500,
|
| 109 |
+
2525,
|
| 110 |
+
2550,
|
| 111 |
+
2575,
|
| 112 |
+
2600,
|
| 113 |
+
2625,
|
| 114 |
+
2650,
|
| 115 |
+
2675,
|
| 116 |
+
2700,
|
| 117 |
+
2725,
|
| 118 |
+
2750,
|
| 119 |
+
2775,
|
| 120 |
+
2800,
|
| 121 |
+
2825,
|
| 122 |
+
2850,
|
| 123 |
+
2875,
|
| 124 |
+
2900,
|
| 125 |
+
2925,
|
| 126 |
+
2950,
|
| 127 |
+
2975,
|
| 128 |
+
3000,
|
| 129 |
+
3025,
|
| 130 |
+
3050,
|
| 131 |
+
3075,
|
| 132 |
+
3100,
|
| 133 |
+
3125,
|
| 134 |
+
3150,
|
| 135 |
+
3175,
|
| 136 |
+
3200,
|
| 137 |
+
3225,
|
| 138 |
+
3250,
|
| 139 |
+
3275,
|
| 140 |
+
3300,
|
| 141 |
+
3325,
|
| 142 |
+
3350,
|
| 143 |
+
3375,
|
| 144 |
+
3400,
|
| 145 |
+
3425,
|
| 146 |
+
3450,
|
| 147 |
+
3475,
|
| 148 |
+
3500,
|
| 149 |
+
3525,
|
| 150 |
+
3550,
|
| 151 |
+
3575,
|
| 152 |
+
3600,
|
| 153 |
+
3625,
|
| 154 |
+
3650,
|
| 155 |
+
3675,
|
| 156 |
+
3700,
|
| 157 |
+
3725,
|
| 158 |
+
3750,
|
| 159 |
+
3775,
|
| 160 |
+
3800,
|
| 161 |
+
3825,
|
| 162 |
+
3850,
|
| 163 |
+
3875,
|
| 164 |
+
3900,
|
| 165 |
+
3925,
|
| 166 |
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e2/e2_l1_gsm8k_r16_s17/metrics.npz
ADDED
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size 2687689
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e2/e2_l1_gsm8k_r16_s17/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 1690024404
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e2/e2_l1_gsm8k_r16_s18/config.json
ADDED
|
@@ -0,0 +1,41 @@
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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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|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"run_id": "e2_l1_gsm8k_r16_s18",
|
| 3 |
+
"model_id": "Qwen/Qwen3-0.6B-Base",
|
| 4 |
+
"task": "gsm8k",
|
| 5 |
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"seq_len": 512,
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
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|
| 10 |
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|
| 11 |
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"targets": [
|
| 12 |
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"q_proj",
|
| 13 |
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"k_proj",
|
| 14 |
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"v_proj",
|
| 15 |
+
"o_proj"
|
| 16 |
+
],
|
| 17 |
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"optimizer": "adamw",
|
| 18 |
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|
| 19 |
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|
| 20 |
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"betas": [
|
| 21 |
+
0.9,
|
| 22 |
+
0.999
|
| 23 |
+
],
|
| 24 |
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|
| 25 |
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"adam_eps": 1e-08,
|
| 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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"seed": 18,
|
| 32 |
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|
| 33 |
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|
| 34 |
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"gauge_transform": "none",
|
| 35 |
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|
| 36 |
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|
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|
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|
| 39 |
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"base_dtype": "auto",
|
| 40 |
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"out_root": "runs"
|
| 41 |
+
}
|
e2/e2_l1_gsm8k_r16_s18/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]
|
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Loading weights: 100%|██████████| 310/310 [00:00<00:00, 5295.39it/s]
|
| 5 |
+
[e2_l1_gsm8k_r16_s18] step 50/5000 loss 0.4830 (40s)
|
| 6 |
+
[e2_l1_gsm8k_r16_s18] step 100/5000 loss 0.4376 (76s)
|
| 7 |
+
[e2_l1_gsm8k_r16_s18] step 150/5000 loss 0.4378 (111s)
|
| 8 |
+
[e2_l1_gsm8k_r16_s18] step 200/5000 loss 0.4150 (147s)
|
| 9 |
+
[e2_l1_gsm8k_r16_s18] step 250/5000 loss 0.4174 (182s)
|
| 10 |
+
[e2_l1_gsm8k_r16_s18] step 300/5000 loss 0.4199 (218s)
|
| 11 |
+
[e2_l1_gsm8k_r16_s18] step 350/5000 loss 0.4325 (252s)
|
| 12 |
+
[e2_l1_gsm8k_r16_s18] step 400/5000 loss 0.4347 (287s)
|
| 13 |
+
[e2_l1_gsm8k_r16_s18] step 450/5000 loss 0.4422 (322s)
|
| 14 |
+
[e2_l1_gsm8k_r16_s18] step 500/5000 loss 0.4081 (358s)
|
| 15 |
+
[e2_l1_gsm8k_r16_s18] step 550/5000 loss 0.4218 (392s)
|
| 16 |
+
[e2_l1_gsm8k_r16_s18] step 600/5000 loss 0.4145 (428s)
|
| 17 |
+
[e2_l1_gsm8k_r16_s18] step 650/5000 loss 0.4017 (463s)
|
| 18 |
+
[e2_l1_gsm8k_r16_s18] step 700/5000 loss 0.4161 (499s)
|
| 19 |
+
[e2_l1_gsm8k_r16_s18] step 750/5000 loss 0.4006 (534s)
|
| 20 |
+
[e2_l1_gsm8k_r16_s18] step 800/5000 loss 0.4076 (570s)
|
| 21 |
+
[e2_l1_gsm8k_r16_s18] step 850/5000 loss 0.3922 (605s)
|
| 22 |
+
[e2_l1_gsm8k_r16_s18] step 900/5000 loss 0.3748 (641s)
|
| 23 |
+
[e2_l1_gsm8k_r16_s18] step 950/5000 loss 0.3539 (676s)
|
| 24 |
+
[e2_l1_gsm8k_r16_s18] step 1000/5000 loss 0.3538 (712s)
|
| 25 |
+
[e2_l1_gsm8k_r16_s18] step 1050/5000 loss 0.3587 (747s)
|
| 26 |
+
[e2_l1_gsm8k_r16_s18] step 1100/5000 loss 0.3590 (783s)
|
| 27 |
+
[e2_l1_gsm8k_r16_s18] step 1150/5000 loss 0.3503 (818s)
|
| 28 |
+
[e2_l1_gsm8k_r16_s18] step 1200/5000 loss 0.3774 (854s)
|
| 29 |
+
[e2_l1_gsm8k_r16_s18] step 1250/5000 loss 0.3847 (889s)
|
| 30 |
+
[e2_l1_gsm8k_r16_s18] step 1300/5000 loss 0.3727 (925s)
|
| 31 |
+
[e2_l1_gsm8k_r16_s18] step 1350/5000 loss 0.3583 (960s)
|
| 32 |
+
[e2_l1_gsm8k_r16_s18] step 1400/5000 loss 0.3530 (996s)
|
| 33 |
+
[e2_l1_gsm8k_r16_s18] step 1450/5000 loss 0.3638 (1031s)
|
| 34 |
+
[e2_l1_gsm8k_r16_s18] step 1500/5000 loss 0.3505 (1067s)
|
| 35 |
+
[e2_l1_gsm8k_r16_s18] step 1550/5000 loss 0.3611 (1102s)
|
| 36 |
+
[e2_l1_gsm8k_r16_s18] step 1600/5000 loss 0.3607 (1138s)
|
| 37 |
+
[e2_l1_gsm8k_r16_s18] step 1650/5000 loss 0.3540 (1173s)
|
| 38 |
+
[e2_l1_gsm8k_r16_s18] step 1700/5000 loss 0.3746 (1209s)
|
| 39 |
+
[e2_l1_gsm8k_r16_s18] step 1750/5000 loss 0.3529 (1244s)
|
| 40 |
+
[e2_l1_gsm8k_r16_s18] step 1800/5000 loss 0.3006 (1280s)
|
| 41 |
+
[e2_l1_gsm8k_r16_s18] step 1850/5000 loss 0.3107 (1315s)
|
| 42 |
+
[e2_l1_gsm8k_r16_s18] step 1900/5000 loss 0.2853 (1351s)
|
| 43 |
+
[e2_l1_gsm8k_r16_s18] step 1950/5000 loss 0.3103 (1385s)
|
| 44 |
+
[e2_l1_gsm8k_r16_s18] step 2000/5000 loss 0.2874 (1422s)
|
| 45 |
+
[e2_l1_gsm8k_r16_s18] step 2050/5000 loss 0.3125 (1456s)
|
| 46 |
+
[e2_l1_gsm8k_r16_s18] step 2100/5000 loss 0.2946 (1493s)
|
| 47 |
+
[e2_l1_gsm8k_r16_s18] step 2150/5000 loss 0.3116 (1527s)
|
| 48 |
+
[e2_l1_gsm8k_r16_s18] step 2200/5000 loss 0.2910 (1564s)
|
| 49 |
+
[e2_l1_gsm8k_r16_s18] step 2250/5000 loss 0.3036 (1598s)
|
| 50 |
+
[e2_l1_gsm8k_r16_s18] step 2300/5000 loss 0.3016 (1635s)
|
| 51 |
+
[e2_l1_gsm8k_r16_s18] step 2350/5000 loss 0.3170 (1669s)
|
| 52 |
+
[e2_l1_gsm8k_r16_s18] step 2400/5000 loss 0.3073 (1706s)
|
| 53 |
+
[e2_l1_gsm8k_r16_s18] step 2450/5000 loss 0.3163 (1740s)
|
| 54 |
+
[e2_l1_gsm8k_r16_s18] step 2500/5000 loss 0.3140 (1777s)
|
| 55 |
+
[e2_l1_gsm8k_r16_s18] step 2550/5000 loss 0.3140 (1811s)
|
| 56 |
+
[e2_l1_gsm8k_r16_s18] step 2600/5000 loss 0.3209 (1848s)
|
| 57 |
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[e2_l1_gsm8k_r16_s18] step 2650/5000 loss 0.2374 (1882s)
|
| 58 |
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[e2_l1_gsm8k_r16_s18] step 2700/5000 loss 0.2331 (1918s)
|
| 59 |
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[e2_l1_gsm8k_r16_s18] step 2750/5000 loss 0.2403 (1953s)
|
| 60 |
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[e2_l1_gsm8k_r16_s18] step 2800/5000 loss 0.2479 (1989s)
|
| 61 |
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[e2_l1_gsm8k_r16_s18] step 2850/5000 loss 0.2564 (2024s)
|
| 62 |
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[e2_l1_gsm8k_r16_s18] step 2900/5000 loss 0.2570 (2060s)
|
| 63 |
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[e2_l1_gsm8k_r16_s18] step 2950/5000 loss 0.2403 (2095s)
|
| 64 |
+
[e2_l1_gsm8k_r16_s18] step 3000/5000 loss 0.2455 (2131s)
|
| 65 |
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[e2_l1_gsm8k_r16_s18] step 3050/5000 loss 0.2700 (2166s)
|
| 66 |
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[e2_l1_gsm8k_r16_s18] step 3100/5000 loss 0.2463 (2202s)
|
| 67 |
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[e2_l1_gsm8k_r16_s18] step 3150/5000 loss 0.2783 (2237s)
|
| 68 |
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[e2_l1_gsm8k_r16_s18] step 3200/5000 loss 0.2484 (2273s)
|
| 69 |
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[e2_l1_gsm8k_r16_s18] step 3250/5000 loss 0.2472 (2308s)
|
| 70 |
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[e2_l1_gsm8k_r16_s18] step 3300/5000 loss 0.2471 (2344s)
|
| 71 |
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[e2_l1_gsm8k_r16_s18] step 3350/5000 loss 0.2747 (2379s)
|
| 72 |
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[e2_l1_gsm8k_r16_s18] step 3400/5000 loss 0.2482 (2415s)
|
| 73 |
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[e2_l1_gsm8k_r16_s18] step 3450/5000 loss 0.2631 (2450s)
|
| 74 |
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[e2_l1_gsm8k_r16_s18] step 3500/5000 loss 0.2121 (2486s)
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| 75 |
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[e2_l1_gsm8k_r16_s18] step 3550/5000 loss 0.1912 (2521s)
|
| 76 |
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[e2_l1_gsm8k_r16_s18] step 3600/5000 loss 0.1949 (2557s)
|
| 77 |
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[e2_l1_gsm8k_r16_s18] step 3650/5000 loss 0.1770 (2592s)
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| 78 |
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[e2_l1_gsm8k_r16_s18] step 3700/5000 loss 0.2005 (2628s)
|
| 79 |
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[e2_l1_gsm8k_r16_s18] step 3750/5000 loss 0.1899 (2663s)
|
| 80 |
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[e2_l1_gsm8k_r16_s18] step 3800/5000 loss 0.1986 (2699s)
|
| 81 |
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[e2_l1_gsm8k_r16_s18] step 3850/5000 loss 0.1922 (2734s)
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| 82 |
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[e2_l1_gsm8k_r16_s18] step 3900/5000 loss 0.1903 (2770s)
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| 83 |
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[e2_l1_gsm8k_r16_s18] step 3950/5000 loss 0.2010 (2805s)
|
| 84 |
+
[e2_l1_gsm8k_r16_s18] step 4000/5000 loss 0.2173 (2841s)
|
| 85 |
+
[e2_l1_gsm8k_r16_s18] step 4050/5000 loss 0.2018 (2876s)
|
| 86 |
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[e2_l1_gsm8k_r16_s18] step 4100/5000 loss 0.2018 (2912s)
|
| 87 |
+
[e2_l1_gsm8k_r16_s18] step 4150/5000 loss 0.2059 (2947s)
|
| 88 |
+
[e2_l1_gsm8k_r16_s18] step 4200/5000 loss 0.1916 (2983s)
|
| 89 |
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[e2_l1_gsm8k_r16_s18] step 4250/5000 loss 0.2085 (3018s)
|
| 90 |
+
[e2_l1_gsm8k_r16_s18] step 4300/5000 loss 0.2140 (3054s)
|
| 91 |
+
[e2_l1_gsm8k_r16_s18] step 4350/5000 loss 0.2068 (3089s)
|
| 92 |
+
[e2_l1_gsm8k_r16_s18] step 4400/5000 loss 0.1412 (3125s)
|
| 93 |
+
[e2_l1_gsm8k_r16_s18] step 4450/5000 loss 0.1339 (3159s)
|
| 94 |
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[e2_l1_gsm8k_r16_s18] step 4500/5000 loss 0.1314 (3195s)
|
| 95 |
+
[e2_l1_gsm8k_r16_s18] step 4550/5000 loss 0.1380 (3230s)
|
| 96 |
+
[e2_l1_gsm8k_r16_s18] step 4600/5000 loss 0.1458 (3266s)
|
| 97 |
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[e2_l1_gsm8k_r16_s18] step 4650/5000 loss 0.1583 (3301s)
|
| 98 |
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[e2_l1_gsm8k_r16_s18] step 4700/5000 loss 0.1489 (3337s)
|
| 99 |
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[e2_l1_gsm8k_r16_s18] step 4750/5000 loss 0.1446 (3372s)
|
| 100 |
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[e2_l1_gsm8k_r16_s18] step 4800/5000 loss 0.1354 (3408s)
|
| 101 |
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[e2_l1_gsm8k_r16_s18] step 4850/5000 loss 0.1436 (3443s)
|
| 102 |
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[e2_l1_gsm8k_r16_s18] step 4900/5000 loss 0.1500 (3479s)
|
| 103 |
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[e2_l1_gsm8k_r16_s18] step 4950/5000 loss 0.1628 (3514s)
|
| 104 |
+
[e2_l1_gsm8k_r16_s18] step 5000/5000 loss 0.1503 (3550s)
|
| 105 |
+
[e2_l1_gsm8k_r16_s18] DONE in 3550s -> runs/e2_l1_gsm8k_r16_s18
|
e2/e2_l1_gsm8k_r16_s18/meta.json
ADDED
|
@@ -0,0 +1,2388 @@
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+
"base_model.model.model.layers.27.self_attn.k_proj",
|
| 2351 |
+
"base_model.model.model.layers.27.self_attn.o_proj",
|
| 2352 |
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|
| 2353 |
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"base_model.model.model.layers.27.self_attn.v_proj",
|
| 2354 |
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|
| 2355 |
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"base_model.model.model.layers.3.self_attn.o_proj",
|
| 2356 |
+
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|
| 2357 |
+
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|
| 2358 |
+
"base_model.model.model.layers.4.self_attn.k_proj",
|
| 2359 |
+
"base_model.model.model.layers.4.self_attn.o_proj",
|
| 2360 |
+
"base_model.model.model.layers.4.self_attn.q_proj",
|
| 2361 |
+
"base_model.model.model.layers.4.self_attn.v_proj",
|
| 2362 |
+
"base_model.model.model.layers.5.self_attn.k_proj",
|
| 2363 |
+
"base_model.model.model.layers.5.self_attn.o_proj",
|
| 2364 |
+
"base_model.model.model.layers.5.self_attn.q_proj",
|
| 2365 |
+
"base_model.model.model.layers.5.self_attn.v_proj",
|
| 2366 |
+
"base_model.model.model.layers.6.self_attn.k_proj",
|
| 2367 |
+
"base_model.model.model.layers.6.self_attn.o_proj",
|
| 2368 |
+
"base_model.model.model.layers.6.self_attn.q_proj",
|
| 2369 |
+
"base_model.model.model.layers.6.self_attn.v_proj",
|
| 2370 |
+
"base_model.model.model.layers.7.self_attn.k_proj",
|
| 2371 |
+
"base_model.model.model.layers.7.self_attn.o_proj",
|
| 2372 |
+
"base_model.model.model.layers.7.self_attn.q_proj",
|
| 2373 |
+
"base_model.model.model.layers.7.self_attn.v_proj",
|
| 2374 |
+
"base_model.model.model.layers.8.self_attn.k_proj",
|
| 2375 |
+
"base_model.model.model.layers.8.self_attn.o_proj",
|
| 2376 |
+
"base_model.model.model.layers.8.self_attn.q_proj",
|
| 2377 |
+
"base_model.model.model.layers.8.self_attn.v_proj",
|
| 2378 |
+
"base_model.model.model.layers.9.self_attn.k_proj",
|
| 2379 |
+
"base_model.model.model.layers.9.self_attn.o_proj",
|
| 2380 |
+
"base_model.model.model.layers.9.self_attn.q_proj",
|
| 2381 |
+
"base_model.model.model.layers.9.self_attn.v_proj"
|
| 2382 |
+
],
|
| 2383 |
+
"scale": 2.0,
|
| 2384 |
+
"start_step": 0,
|
| 2385 |
+
"torch": "2.7.1+cu128",
|
| 2386 |
+
"device": "cuda",
|
| 2387 |
+
"base_dtype": "torch.bfloat16"
|
| 2388 |
+
}
|
e2/e2_l1_gsm8k_r16_s18/metrics.npz
ADDED
|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e87dc0895acd09573d46ae399e96e33c88f9758791514410424e0fd6262bba54
|
| 3 |
+
size 2685145
|
e2/e2_l1_gsm8k_r16_s18/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ff7527a3eee4b4e37737362dab936c4132fbc953917e9213a94f53399803abd
|
| 3 |
+
size 1690091169
|
e2/e2_l1_gsm8k_r16_s19/config.json
ADDED
|
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| 1 |
+
{
|
| 2 |
+
"run_id": "e2_l1_gsm8k_r16_s19",
|
| 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": 5000,
|
| 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 |
+
"momentum": 0.0,
|
| 25 |
+
"adam_eps": 1e-08,
|
| 26 |
+
"grad_clip": 1.0,
|
| 27 |
+
"snapshot_every": 25,
|
| 28 |
+
"probe_every": 50,
|
| 29 |
+
"eval_every": 100,
|
| 30 |
+
"eval_batches": 8,
|
| 31 |
+
"seed": 19,
|
| 32 |
+
"data_seed": 17,
|
| 33 |
+
"warm_start": null,
|
| 34 |
+
"gauge_transform": "none",
|
| 35 |
+
"gauge_c": 4.0,
|
| 36 |
+
"gauge_seed": 0,
|
| 37 |
+
"save_warm_at": null,
|
| 38 |
+
"device": "auto",
|
| 39 |
+
"base_dtype": "auto",
|
| 40 |
+
"out_root": "runs"
|
| 41 |
+
}
|
e2/e2_l1_gsm8k_r16_s19/log.txt
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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: 100%|██████████| 310/310 [00:00<00:00, 7134.97it/s]
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[e2_l1_gsm8k_r16_s19] step 50/5000 loss 0.4824 (40s)
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[e2_l1_gsm8k_r16_s19] step 1600/5000 loss 0.3609 (1140s)
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| 96 |
+
[e2_l1_gsm8k_r16_s19] step 4600/5000 loss 0.1460 (3240s)
|
| 97 |
+
[e2_l1_gsm8k_r16_s19] step 4650/5000 loss 0.1596 (3274s)
|
| 98 |
+
[e2_l1_gsm8k_r16_s19] step 4700/5000 loss 0.1475 (3310s)
|
| 99 |
+
[e2_l1_gsm8k_r16_s19] step 4750/5000 loss 0.1438 (3344s)
|
| 100 |
+
[e2_l1_gsm8k_r16_s19] step 4800/5000 loss 0.1381 (3379s)
|
| 101 |
+
[e2_l1_gsm8k_r16_s19] step 4850/5000 loss 0.1452 (3413s)
|
| 102 |
+
[e2_l1_gsm8k_r16_s19] step 4900/5000 loss 0.1524 (3449s)
|
| 103 |
+
[e2_l1_gsm8k_r16_s19] step 4950/5000 loss 0.1663 (3483s)
|
| 104 |
+
[e2_l1_gsm8k_r16_s19] step 5000/5000 loss 0.1522 (3519s)
|
| 105 |
+
[e2_l1_gsm8k_r16_s19] DONE in 3519s -> runs/e2_l1_gsm8k_r16_s19
|
e2/e2_l1_gsm8k_r16_s19/meta.json
ADDED
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@@ -0,0 +1,2388 @@
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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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|
|
| 1 |
+
{
|
| 2 |
+
"n_states": 201,
|
| 3 |
+
"max_states": 204,
|
| 4 |
+
"n_params": 4587520,
|
| 5 |
+
"dtype": "float16",
|
| 6 |
+
"layout": "states x flat named_parameters (requires_grad only)",
|
| 7 |
+
"steps": [
|
| 8 |
+
0,
|
| 9 |
+
25,
|
| 10 |
+
50,
|
| 11 |
+
75,
|
| 12 |
+
100,
|
| 13 |
+
125,
|
| 14 |
+
150,
|
| 15 |
+
175,
|
| 16 |
+
200,
|
| 17 |
+
225,
|
| 18 |
+
250,
|
| 19 |
+
275,
|
| 20 |
+
300,
|
| 21 |
+
325,
|
| 22 |
+
350,
|
| 23 |
+
375,
|
| 24 |
+
400,
|
| 25 |
+
425,
|
| 26 |
+
450,
|
| 27 |
+
475,
|
| 28 |
+
500,
|
| 29 |
+
525,
|
| 30 |
+
550,
|
| 31 |
+
575,
|
| 32 |
+
600,
|
| 33 |
+
625,
|
| 34 |
+
650,
|
| 35 |
+
675,
|
| 36 |
+
700,
|
| 37 |
+
725,
|
| 38 |
+
750,
|
| 39 |
+
775,
|
| 40 |
+
800,
|
| 41 |
+
825,
|
| 42 |
+
850,
|
| 43 |
+
875,
|
| 44 |
+
900,
|
| 45 |
+
925,
|
| 46 |
+
950,
|
| 47 |
+
975,
|
| 48 |
+
1000,
|
| 49 |
+
1025,
|
| 50 |
+
1050,
|
| 51 |
+
1075,
|
| 52 |
+
1100,
|
| 53 |
+
1125,
|
| 54 |
+
1150,
|
| 55 |
+
1175,
|
| 56 |
+
1200,
|
| 57 |
+
1225,
|
| 58 |
+
1250,
|
| 59 |
+
1275,
|
| 60 |
+
1300,
|
| 61 |
+
1325,
|
| 62 |
+
1350,
|
| 63 |
+
1375,
|
| 64 |
+
1400,
|
| 65 |
+
1425,
|
| 66 |
+
1450,
|
| 67 |
+
1475,
|
| 68 |
+
1500,
|
| 69 |
+
1525,
|
| 70 |
+
1550,
|
| 71 |
+
1575,
|
| 72 |
+
1600,
|
| 73 |
+
1625,
|
| 74 |
+
1650,
|
| 75 |
+
1675,
|
| 76 |
+
1700,
|
| 77 |
+
1725,
|
| 78 |
+
1750,
|
| 79 |
+
1775,
|
| 80 |
+
1800,
|
| 81 |
+
1825,
|
| 82 |
+
1850,
|
| 83 |
+
1875,
|
| 84 |
+
1900,
|
| 85 |
+
1925,
|
| 86 |
+
1950,
|
| 87 |
+
1975,
|
| 88 |
+
2000,
|
| 89 |
+
2025,
|
| 90 |
+
2050,
|
| 91 |
+
2075,
|
| 92 |
+
2100,
|
| 93 |
+
2125,
|
| 94 |
+
2150,
|
| 95 |
+
2175,
|
| 96 |
+
2200,
|
| 97 |
+
2225,
|
| 98 |
+
2250,
|
| 99 |
+
2275,
|
| 100 |
+
2300,
|
| 101 |
+
2325,
|
| 102 |
+
2350,
|
| 103 |
+
2375,
|
| 104 |
+
2400,
|
| 105 |
+
2425,
|
| 106 |
+
2450,
|
| 107 |
+
2475,
|
| 108 |
+
2500,
|
| 109 |
+
2525,
|
| 110 |
+
2550,
|
| 111 |
+
2575,
|
| 112 |
+
2600,
|
| 113 |
+
2625,
|
| 114 |
+
2650,
|
| 115 |
+
2675,
|
| 116 |
+
2700,
|
| 117 |
+
2725,
|
| 118 |
+
2750,
|
| 119 |
+
2775,
|
| 120 |
+
2800,
|
| 121 |
+
2825,
|
| 122 |
+
2850,
|
| 123 |
+
2875,
|
| 124 |
+
2900,
|
| 125 |
+
2925,
|
| 126 |
+
2950,
|
| 127 |
+
2975,
|
| 128 |
+
3000,
|
| 129 |
+
3025,
|
| 130 |
+
3050,
|
| 131 |
+
3075,
|
| 132 |
+
3100,
|
| 133 |
+
3125,
|
| 134 |
+
3150,
|
| 135 |
+
3175,
|
| 136 |
+
3200,
|
| 137 |
+
3225,
|
| 138 |
+
3250,
|
| 139 |
+
3275,
|
| 140 |
+
3300,
|
| 141 |
+
3325,
|
| 142 |
+
3350,
|
| 143 |
+
3375,
|
| 144 |
+
3400,
|
| 145 |
+
3425,
|
| 146 |
+
3450,
|
| 147 |
+
3475,
|
| 148 |
+
3500,
|
| 149 |
+
3525,
|
| 150 |
+
3550,
|
| 151 |
+
3575,
|
| 152 |
+
3600,
|
| 153 |
+
3625,
|
| 154 |
+
3650,
|
| 155 |
+
3675,
|
| 156 |
+
3700,
|
| 157 |
+
3725,
|
| 158 |
+
3750,
|
| 159 |
+
3775,
|
| 160 |
+
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e2/e2_l1_gsm8k_r16_s19/metrics.npz
ADDED
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size 2686644
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e2/e2_l1_gsm8k_r16_s19/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 1690016723
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e2/e2_l1_tulu_r16_s17/config.json
ADDED
|
@@ -0,0 +1,41 @@
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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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|
| 1 |
+
{
|
| 2 |
+
"run_id": "e2_l1_tulu_r16_s17",
|
| 3 |
+
"model_id": "Qwen/Qwen3-0.6B-Base",
|
| 4 |
+
"task": "tulu",
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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"targets": [
|
| 12 |
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"q_proj",
|
| 13 |
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"k_proj",
|
| 14 |
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"v_proj",
|
| 15 |
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"o_proj"
|
| 16 |
+
],
|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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"betas": [
|
| 21 |
+
0.9,
|
| 22 |
+
0.999
|
| 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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"seed": 17,
|
| 32 |
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"data_seed": 17,
|
| 33 |
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|
| 34 |
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|
| 35 |
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|
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|
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|
| 39 |
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|
| 40 |
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"out_root": "runs"
|
| 41 |
+
}
|
e2/e2_l1_tulu_r16_s17/log.txt
ADDED
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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: 100%|██████████| 310/310 [00:00<00:00, 5585.29it/s]
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[e2_l1_tulu_r16_s17] step 5000/5000 loss 0.9020 (3498s)
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[e2_l1_tulu_r16_s17] DONE in 3498s -> runs/e2_l1_tulu_r16_s17
|
e2/e2_l1_tulu_r16_s17/meta.json
ADDED
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|
| 2354 |
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|
| 2355 |
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|
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|
| 2357 |
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|
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|
| 2359 |
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|
| 2360 |
+
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|
| 2361 |
+
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|
| 2362 |
+
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|
| 2363 |
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"base_model.model.model.layers.5.self_attn.o_proj",
|
| 2364 |
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"base_model.model.model.layers.5.self_attn.q_proj",
|
| 2365 |
+
"base_model.model.model.layers.5.self_attn.v_proj",
|
| 2366 |
+
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|
| 2367 |
+
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|
| 2368 |
+
"base_model.model.model.layers.6.self_attn.q_proj",
|
| 2369 |
+
"base_model.model.model.layers.6.self_attn.v_proj",
|
| 2370 |
+
"base_model.model.model.layers.7.self_attn.k_proj",
|
| 2371 |
+
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|
| 2372 |
+
"base_model.model.model.layers.7.self_attn.q_proj",
|
| 2373 |
+
"base_model.model.model.layers.7.self_attn.v_proj",
|
| 2374 |
+
"base_model.model.model.layers.8.self_attn.k_proj",
|
| 2375 |
+
"base_model.model.model.layers.8.self_attn.o_proj",
|
| 2376 |
+
"base_model.model.model.layers.8.self_attn.q_proj",
|
| 2377 |
+
"base_model.model.model.layers.8.self_attn.v_proj",
|
| 2378 |
+
"base_model.model.model.layers.9.self_attn.k_proj",
|
| 2379 |
+
"base_model.model.model.layers.9.self_attn.o_proj",
|
| 2380 |
+
"base_model.model.model.layers.9.self_attn.q_proj",
|
| 2381 |
+
"base_model.model.model.layers.9.self_attn.v_proj"
|
| 2382 |
+
],
|
| 2383 |
+
"scale": 2.0,
|
| 2384 |
+
"start_step": 0,
|
| 2385 |
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"torch": "2.7.1+cu128",
|
| 2386 |
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"device": "cuda",
|
| 2387 |
+
"base_dtype": "torch.bfloat16"
|
| 2388 |
+
}
|
e2/e2_l1_tulu_r16_s17/metrics.npz
ADDED
|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:0224160c812e35365fe3fcc096897f218dcc2b6c919dd4d20af017e3aa1bf0f4
|
| 3 |
+
size 3715662
|
e2/e2_l1_tulu_r16_s17/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:65a3ae51a421c96891fa69b69a81633bf79c6dd57ab5c98cae749699b8d02ca1
|
| 3 |
+
size 1690535421
|
e2/e2_l1_tulu_r16_s18/config.json
ADDED
|
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| 1 |
+
{
|
| 2 |
+
"run_id": "e2_l1_tulu_r16_s18",
|
| 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": 5000,
|
| 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 |
+
"momentum": 0.0,
|
| 25 |
+
"adam_eps": 1e-08,
|
| 26 |
+
"grad_clip": 1.0,
|
| 27 |
+
"snapshot_every": 25,
|
| 28 |
+
"probe_every": 50,
|
| 29 |
+
"eval_every": 100,
|
| 30 |
+
"eval_batches": 8,
|
| 31 |
+
"seed": 18,
|
| 32 |
+
"data_seed": 17,
|
| 33 |
+
"warm_start": null,
|
| 34 |
+
"gauge_transform": "none",
|
| 35 |
+
"gauge_c": 4.0,
|
| 36 |
+
"gauge_seed": 0,
|
| 37 |
+
"save_warm_at": null,
|
| 38 |
+
"device": "auto",
|
| 39 |
+
"base_dtype": "auto",
|
| 40 |
+
"out_root": "runs"
|
| 41 |
+
}
|
e2/e2_l1_tulu_r16_s18/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: 100%|██████████| 310/310 [00:00<00:00, 5940.23it/s]
|
| 5 |
+
[e2_l1_tulu_r16_s18] step 50/5000 loss 1.0501 (40s)
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[e2_l1_tulu_r16_s18] step 4900/5000 loss 0.9311 (3427s)
|
| 103 |
+
[e2_l1_tulu_r16_s18] step 4950/5000 loss 0.9530 (3461s)
|
| 104 |
+
[e2_l1_tulu_r16_s18] step 5000/5000 loss 0.9014 (3496s)
|
| 105 |
+
[e2_l1_tulu_r16_s18] DONE in 3497s -> runs/e2_l1_tulu_r16_s18
|
e2/e2_l1_tulu_r16_s18/meta.json
ADDED
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@@ -0,0 +1,2388 @@
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"n_states": 201,
|
| 3 |
+
"max_states": 204,
|
| 4 |
+
"n_params": 4587520,
|
| 5 |
+
"dtype": "float16",
|
| 6 |
+
"layout": "states x flat named_parameters (requires_grad only)",
|
| 7 |
+
"steps": [
|
| 8 |
+
0,
|
| 9 |
+
25,
|
| 10 |
+
50,
|
| 11 |
+
75,
|
| 12 |
+
100,
|
| 13 |
+
125,
|
| 14 |
+
150,
|
| 15 |
+
175,
|
| 16 |
+
200,
|
| 17 |
+
225,
|
| 18 |
+
250,
|
| 19 |
+
275,
|
| 20 |
+
300,
|
| 21 |
+
325,
|
| 22 |
+
350,
|
| 23 |
+
375,
|
| 24 |
+
400,
|
| 25 |
+
425,
|
| 26 |
+
450,
|
| 27 |
+
475,
|
| 28 |
+
500,
|
| 29 |
+
525,
|
| 30 |
+
550,
|
| 31 |
+
575,
|
| 32 |
+
600,
|
| 33 |
+
625,
|
| 34 |
+
650,
|
| 35 |
+
675,
|
| 36 |
+
700,
|
| 37 |
+
725,
|
| 38 |
+
750,
|
| 39 |
+
775,
|
| 40 |
+
800,
|
| 41 |
+
825,
|
| 42 |
+
850,
|
| 43 |
+
875,
|
| 44 |
+
900,
|
| 45 |
+
925,
|
| 46 |
+
950,
|
| 47 |
+
975,
|
| 48 |
+
1000,
|
| 49 |
+
1025,
|
| 50 |
+
1050,
|
| 51 |
+
1075,
|
| 52 |
+
1100,
|
| 53 |
+
1125,
|
| 54 |
+
1150,
|
| 55 |
+
1175,
|
| 56 |
+
1200,
|
| 57 |
+
1225,
|
| 58 |
+
1250,
|
| 59 |
+
1275,
|
| 60 |
+
1300,
|
| 61 |
+
1325,
|
| 62 |
+
1350,
|
| 63 |
+
1375,
|
| 64 |
+
1400,
|
| 65 |
+
1425,
|
| 66 |
+
1450,
|
| 67 |
+
1475,
|
| 68 |
+
1500,
|
| 69 |
+
1525,
|
| 70 |
+
1550,
|
| 71 |
+
1575,
|
| 72 |
+
1600,
|
| 73 |
+
1625,
|
| 74 |
+
1650,
|
| 75 |
+
1675,
|
| 76 |
+
1700,
|
| 77 |
+
1725,
|
| 78 |
+
1750,
|
| 79 |
+
1775,
|
| 80 |
+
1800,
|
| 81 |
+
1825,
|
| 82 |
+
1850,
|
| 83 |
+
1875,
|
| 84 |
+
1900,
|
| 85 |
+
1925,
|
| 86 |
+
1950,
|
| 87 |
+
1975,
|
| 88 |
+
2000,
|
| 89 |
+
2025,
|
| 90 |
+
2050,
|
| 91 |
+
2075,
|
| 92 |
+
2100,
|
| 93 |
+
2125,
|
| 94 |
+
2150,
|
| 95 |
+
2175,
|
| 96 |
+
2200,
|
| 97 |
+
2225,
|
| 98 |
+
2250,
|
| 99 |
+
2275,
|
| 100 |
+
2300,
|
| 101 |
+
2325,
|
| 102 |
+
2350,
|
| 103 |
+
2375,
|
| 104 |
+
2400,
|
| 105 |
+
2425,
|
| 106 |
+
2450,
|
| 107 |
+
2475,
|
| 108 |
+
2500,
|
| 109 |
+
2525,
|
| 110 |
+
2550,
|
| 111 |
+
2575,
|
| 112 |
+
2600,
|
| 113 |
+
2625,
|
| 114 |
+
2650,
|
| 115 |
+
2675,
|
| 116 |
+
2700,
|
| 117 |
+
2725,
|
| 118 |
+
2750,
|
| 119 |
+
2775,
|
| 120 |
+
2800,
|
| 121 |
+
2825,
|
| 122 |
+
2850,
|
| 123 |
+
2875,
|
| 124 |
+
2900,
|
| 125 |
+
2925,
|
| 126 |
+
2950,
|
| 127 |
+
2975,
|
| 128 |
+
3000,
|
| 129 |
+
3025,
|
| 130 |
+
3050,
|
| 131 |
+
3075,
|
| 132 |
+
3100,
|
| 133 |
+
3125,
|
| 134 |
+
3150,
|
| 135 |
+
3175,
|
| 136 |
+
3200,
|
| 137 |
+
3225,
|
| 138 |
+
3250,
|
| 139 |
+
3275,
|
| 140 |
+
3300,
|
| 141 |
+
3325,
|
| 142 |
+
3350,
|
| 143 |
+
3375,
|
| 144 |
+
3400,
|
| 145 |
+
3425,
|
| 146 |
+
3450,
|
| 147 |
+
3475,
|
| 148 |
+
3500,
|
| 149 |
+
3525,
|
| 150 |
+
3550,
|
| 151 |
+
3575,
|
| 152 |
+
3600,
|
| 153 |
+
3625,
|
| 154 |
+
3650,
|
| 155 |
+
3675,
|
| 156 |
+
3700,
|
| 157 |
+
3725,
|
| 158 |
+
3750,
|
| 159 |
+
3775,
|
| 160 |
+
3800,
|
| 161 |
+
3825,
|
| 162 |
+
3850,
|
| 163 |
+
3875,
|
| 164 |
+
3900,
|
| 165 |
+
3925,
|
| 166 |
+
3950,
|
| 167 |
+
3975,
|
| 168 |
+
4000,
|
| 169 |
+
4025,
|
| 170 |
+
4050,
|
| 171 |
+
4075,
|
| 172 |
+
4100,
|
| 173 |
+
4125,
|
| 174 |
+
4150,
|
| 175 |
+
4175,
|
| 176 |
+
4200,
|
| 177 |
+
4225,
|
| 178 |
+
4250,
|
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e2/e2_l1_tulu_r16_s18/metrics.npz
ADDED
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version https://git-lfs.github.com/spec/v1
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size 3716551
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e2/e2_l1_tulu_r16_s18/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 1690605927
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e2/e2_l1_tulu_r16_s19/config.json
ADDED
|
@@ -0,0 +1,41 @@
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|
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|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"run_id": "e2_l1_tulu_r16_s19",
|
| 3 |
+
"model_id": "Qwen/Qwen3-0.6B-Base",
|
| 4 |
+
"task": "tulu",
|
| 5 |
+
"seq_len": 512,
|
| 6 |
+
"batch_size": 8,
|
| 7 |
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|
| 8 |
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"max_steps": 5000,
|
| 9 |
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"lora_r": 16,
|
| 10 |
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|
| 11 |
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"targets": [
|
| 12 |
+
"q_proj",
|
| 13 |
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|
| 14 |
+
"v_proj",
|
| 15 |
+
"o_proj"
|
| 16 |
+
],
|
| 17 |
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"optimizer": "adamw",
|
| 18 |
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|
| 19 |
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|
| 20 |
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"betas": [
|
| 21 |
+
0.9,
|
| 22 |
+
0.999
|
| 23 |
+
],
|
| 24 |
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|
| 25 |
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"adam_eps": 1e-08,
|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
+
"eval_every": 100,
|
| 30 |
+
"eval_batches": 8,
|
| 31 |
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"seed": 19,
|
| 32 |
+
"data_seed": 17,
|
| 33 |
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"warm_start": null,
|
| 34 |
+
"gauge_transform": "none",
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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"base_dtype": "auto",
|
| 40 |
+
"out_root": "runs"
|
| 41 |
+
}
|
e2/e2_l1_tulu_r16_s19/log.txt
ADDED
|
@@ -0,0 +1,105 @@
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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]
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Loading weights: 100%|██████████| 310/310 [00:00<00:00, 5147.85it/s]
|
| 5 |
+
[e2_l1_tulu_r16_s19] step 50/5000 loss 1.0501 (40s)
|
| 6 |
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[e2_l1_tulu_r16_s19] step 100/5000 loss 1.0291 (75s)
|
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[e2_l1_tulu_r16_s19] step 150/5000 loss 1.0418 (110s)
|
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[e2_l1_tulu_r16_s19] step 200/5000 loss 1.1203 (145s)
|
| 9 |
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[e2_l1_tulu_r16_s19] step 250/5000 loss 0.9945 (179s)
|
| 10 |
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[e2_l1_tulu_r16_s19] step 300/5000 loss 1.0022 (215s)
|
| 11 |
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[e2_l1_tulu_r16_s19] step 350/5000 loss 1.0421 (249s)
|
| 12 |
+
[e2_l1_tulu_r16_s19] step 400/5000 loss 0.9574 (285s)
|
| 13 |
+
[e2_l1_tulu_r16_s19] step 450/5000 loss 0.9728 (319s)
|
| 14 |
+
[e2_l1_tulu_r16_s19] step 500/5000 loss 1.0198 (355s)
|
| 15 |
+
[e2_l1_tulu_r16_s19] step 550/5000 loss 0.9229 (389s)
|
| 16 |
+
[e2_l1_tulu_r16_s19] step 600/5000 loss 0.9748 (424s)
|
| 17 |
+
[e2_l1_tulu_r16_s19] step 650/5000 loss 1.0229 (458s)
|
| 18 |
+
[e2_l1_tulu_r16_s19] step 700/5000 loss 1.0069 (494s)
|
| 19 |
+
[e2_l1_tulu_r16_s19] step 750/5000 loss 0.9759 (528s)
|
| 20 |
+
[e2_l1_tulu_r16_s19] step 800/5000 loss 0.8951 (564s)
|
| 21 |
+
[e2_l1_tulu_r16_s19] step 850/5000 loss 0.9850 (598s)
|
| 22 |
+
[e2_l1_tulu_r16_s19] step 900/5000 loss 0.9841 (634s)
|
| 23 |
+
[e2_l1_tulu_r16_s19] step 950/5000 loss 0.8795 (668s)
|
| 24 |
+
[e2_l1_tulu_r16_s19] step 1000/5000 loss 0.9410 (703s)
|
| 25 |
+
[e2_l1_tulu_r16_s19] step 1050/5000 loss 0.9030 (737s)
|
| 26 |
+
[e2_l1_tulu_r16_s19] step 1100/5000 loss 0.9605 (773s)
|
| 27 |
+
[e2_l1_tulu_r16_s19] step 1150/5000 loss 1.0801 (807s)
|
| 28 |
+
[e2_l1_tulu_r16_s19] step 1200/5000 loss 0.9641 (843s)
|
| 29 |
+
[e2_l1_tulu_r16_s19] step 1250/5000 loss 1.0835 (877s)
|
| 30 |
+
[e2_l1_tulu_r16_s19] step 1300/5000 loss 0.9692 (912s)
|
| 31 |
+
[e2_l1_tulu_r16_s19] step 1350/5000 loss 0.9044 (947s)
|
| 32 |
+
[e2_l1_tulu_r16_s19] step 1400/5000 loss 1.0839 (982s)
|
| 33 |
+
[e2_l1_tulu_r16_s19] step 1450/5000 loss 1.0017 (1016s)
|
| 34 |
+
[e2_l1_tulu_r16_s19] step 1500/5000 loss 0.9593 (1052s)
|
| 35 |
+
[e2_l1_tulu_r16_s19] step 1550/5000 loss 1.0844 (1086s)
|
| 36 |
+
[e2_l1_tulu_r16_s19] step 1600/5000 loss 1.0002 (1122s)
|
| 37 |
+
[e2_l1_tulu_r16_s19] step 1650/5000 loss 0.9328 (1156s)
|
| 38 |
+
[e2_l1_tulu_r16_s19] step 1700/5000 loss 0.9733 (1192s)
|
| 39 |
+
[e2_l1_tulu_r16_s19] step 1750/5000 loss 0.9427 (1226s)
|
| 40 |
+
[e2_l1_tulu_r16_s19] step 1800/5000 loss 0.8892 (1261s)
|
| 41 |
+
[e2_l1_tulu_r16_s19] step 1850/5000 loss 0.9922 (1296s)
|
| 42 |
+
[e2_l1_tulu_r16_s19] step 1900/5000 loss 0.9252 (1331s)
|
| 43 |
+
[e2_l1_tulu_r16_s19] step 1950/5000 loss 0.9690 (1365s)
|
| 44 |
+
[e2_l1_tulu_r16_s19] step 2000/5000 loss 1.0074 (1401s)
|
| 45 |
+
[e2_l1_tulu_r16_s19] step 2050/5000 loss 0.9804 (1435s)
|
| 46 |
+
[e2_l1_tulu_r16_s19] step 2100/5000 loss 0.9030 (1471s)
|
| 47 |
+
[e2_l1_tulu_r16_s19] step 2150/5000 loss 0.8932 (1505s)
|
| 48 |
+
[e2_l1_tulu_r16_s19] step 2200/5000 loss 1.0121 (1541s)
|
| 49 |
+
[e2_l1_tulu_r16_s19] step 2250/5000 loss 1.0661 (1575s)
|
| 50 |
+
[e2_l1_tulu_r16_s19] step 2300/5000 loss 1.0591 (1610s)
|
| 51 |
+
[e2_l1_tulu_r16_s19] step 2350/5000 loss 1.0252 (1644s)
|
| 52 |
+
[e2_l1_tulu_r16_s19] step 2400/5000 loss 0.9111 (1680s)
|
| 53 |
+
[e2_l1_tulu_r16_s19] step 2450/5000 loss 1.0282 (1714s)
|
| 54 |
+
[e2_l1_tulu_r16_s19] step 2500/5000 loss 0.9577 (1750s)
|
| 55 |
+
[e2_l1_tulu_r16_s19] step 2550/5000 loss 0.9004 (1784s)
|
| 56 |
+
[e2_l1_tulu_r16_s19] step 2600/5000 loss 0.9865 (1819s)
|
| 57 |
+
[e2_l1_tulu_r16_s19] step 2650/5000 loss 0.9625 (1854s)
|
| 58 |
+
[e2_l1_tulu_r16_s19] step 2700/5000 loss 0.9548 (1889s)
|
| 59 |
+
[e2_l1_tulu_r16_s19] step 2750/5000 loss 1.0035 (1924s)
|
| 60 |
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[e2_l1_tulu_r16_s19] step 2800/5000 loss 1.0476 (1959s)
|
| 61 |
+
[e2_l1_tulu_r16_s19] step 2850/5000 loss 1.0540 (1993s)
|
| 62 |
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[e2_l1_tulu_r16_s19] step 2900/5000 loss 0.9286 (2029s)
|
| 63 |
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[e2_l1_tulu_r16_s19] step 2950/5000 loss 0.9944 (2063s)
|
| 64 |
+
[e2_l1_tulu_r16_s19] step 3000/5000 loss 0.9028 (2099s)
|
| 65 |
+
[e2_l1_tulu_r16_s19] step 3050/5000 loss 0.9172 (2133s)
|
| 66 |
+
[e2_l1_tulu_r16_s19] step 3100/5000 loss 0.9217 (2169s)
|
| 67 |
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[e2_l1_tulu_r16_s19] step 3150/5000 loss 0.9668 (2203s)
|
| 68 |
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[e2_l1_tulu_r16_s19] step 3200/5000 loss 0.9897 (2239s)
|
| 69 |
+
[e2_l1_tulu_r16_s19] step 3250/5000 loss 0.8821 (2273s)
|
| 70 |
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[e2_l1_tulu_r16_s19] step 3300/5000 loss 0.9194 (2308s)
|
| 71 |
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[e2_l1_tulu_r16_s19] step 3350/5000 loss 0.9577 (2343s)
|
| 72 |
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[e2_l1_tulu_r16_s19] step 3400/5000 loss 1.0270 (2378s)
|
| 73 |
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[e2_l1_tulu_r16_s19] step 3450/5000 loss 0.9726 (2413s)
|
| 74 |
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[e2_l1_tulu_r16_s19] step 3500/5000 loss 0.9510 (2448s)
|
| 75 |
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[e2_l1_tulu_r16_s19] step 3550/5000 loss 1.0411 (2482s)
|
| 76 |
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[e2_l1_tulu_r16_s19] step 3600/5000 loss 1.0407 (2518s)
|
| 77 |
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[e2_l1_tulu_r16_s19] step 3650/5000 loss 0.9960 (2552s)
|
| 78 |
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[e2_l1_tulu_r16_s19] step 3700/5000 loss 0.9383 (2588s)
|
| 79 |
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[e2_l1_tulu_r16_s19] step 3750/5000 loss 0.9634 (2622s)
|
| 80 |
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[e2_l1_tulu_r16_s19] step 3800/5000 loss 1.0055 (2658s)
|
| 81 |
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[e2_l1_tulu_r16_s19] step 3850/5000 loss 0.9138 (2692s)
|
| 82 |
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[e2_l1_tulu_r16_s19] step 3900/5000 loss 0.9771 (2727s)
|
| 83 |
+
[e2_l1_tulu_r16_s19] step 3950/5000 loss 0.9655 (2761s)
|
| 84 |
+
[e2_l1_tulu_r16_s19] step 4000/5000 loss 0.9807 (2797s)
|
| 85 |
+
[e2_l1_tulu_r16_s19] step 4050/5000 loss 1.0497 (2831s)
|
| 86 |
+
[e2_l1_tulu_r16_s19] step 4100/5000 loss 0.9130 (2867s)
|
| 87 |
+
[e2_l1_tulu_r16_s19] step 4150/5000 loss 0.9347 (2901s)
|
| 88 |
+
[e2_l1_tulu_r16_s19] step 4200/5000 loss 0.8672 (2936s)
|
| 89 |
+
[e2_l1_tulu_r16_s19] step 4250/5000 loss 0.9184 (2971s)
|
| 90 |
+
[e2_l1_tulu_r16_s19] step 4300/5000 loss 0.8805 (3006s)
|
| 91 |
+
[e2_l1_tulu_r16_s19] step 4350/5000 loss 1.0357 (3040s)
|
| 92 |
+
[e2_l1_tulu_r16_s19] step 4400/5000 loss 0.9688 (3076s)
|
| 93 |
+
[e2_l1_tulu_r16_s19] step 4450/5000 loss 0.9536 (3110s)
|
| 94 |
+
[e2_l1_tulu_r16_s19] step 4500/5000 loss 1.0563 (3146s)
|
| 95 |
+
[e2_l1_tulu_r16_s19] step 4550/5000 loss 0.9046 (3180s)
|
| 96 |
+
[e2_l1_tulu_r16_s19] step 4600/5000 loss 0.9830 (3216s)
|
| 97 |
+
[e2_l1_tulu_r16_s19] step 4650/5000 loss 0.9712 (3250s)
|
| 98 |
+
[e2_l1_tulu_r16_s19] step 4700/5000 loss 0.8690 (3285s)
|
| 99 |
+
[e2_l1_tulu_r16_s19] step 4750/5000 loss 0.8962 (3320s)
|
| 100 |
+
[e2_l1_tulu_r16_s19] step 4800/5000 loss 0.9251 (3355s)
|
| 101 |
+
[e2_l1_tulu_r16_s19] step 4850/5000 loss 0.9910 (3389s)
|
| 102 |
+
[e2_l1_tulu_r16_s19] step 4900/5000 loss 0.9305 (3425s)
|
| 103 |
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[e2_l1_tulu_r16_s19] step 4950/5000 loss 0.9532 (3459s)
|
| 104 |
+
[e2_l1_tulu_r16_s19] step 5000/5000 loss 0.9011 (3495s)
|
| 105 |
+
[e2_l1_tulu_r16_s19] DONE in 3495s -> runs/e2_l1_tulu_r16_s19
|
e2/e2_l1_tulu_r16_s19/meta.json
ADDED
|
@@ -0,0 +1,2388 @@
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| 2363 |
+
"base_model.model.model.layers.5.self_attn.o_proj",
|
| 2364 |
+
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|
| 2365 |
+
"base_model.model.model.layers.5.self_attn.v_proj",
|
| 2366 |
+
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|
| 2367 |
+
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|
| 2368 |
+
"base_model.model.model.layers.6.self_attn.q_proj",
|
| 2369 |
+
"base_model.model.model.layers.6.self_attn.v_proj",
|
| 2370 |
+
"base_model.model.model.layers.7.self_attn.k_proj",
|
| 2371 |
+
"base_model.model.model.layers.7.self_attn.o_proj",
|
| 2372 |
+
"base_model.model.model.layers.7.self_attn.q_proj",
|
| 2373 |
+
"base_model.model.model.layers.7.self_attn.v_proj",
|
| 2374 |
+
"base_model.model.model.layers.8.self_attn.k_proj",
|
| 2375 |
+
"base_model.model.model.layers.8.self_attn.o_proj",
|
| 2376 |
+
"base_model.model.model.layers.8.self_attn.q_proj",
|
| 2377 |
+
"base_model.model.model.layers.8.self_attn.v_proj",
|
| 2378 |
+
"base_model.model.model.layers.9.self_attn.k_proj",
|
| 2379 |
+
"base_model.model.model.layers.9.self_attn.o_proj",
|
| 2380 |
+
"base_model.model.model.layers.9.self_attn.q_proj",
|
| 2381 |
+
"base_model.model.model.layers.9.self_attn.v_proj"
|
| 2382 |
+
],
|
| 2383 |
+
"scale": 2.0,
|
| 2384 |
+
"start_step": 0,
|
| 2385 |
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"torch": "2.7.1+cu128",
|
| 2386 |
+
"device": "cuda",
|
| 2387 |
+
"base_dtype": "torch.bfloat16"
|
| 2388 |
+
}
|
e2/e2_l1_tulu_r16_s19/metrics.npz
ADDED
|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:96dc141b9a2a3ef7e065188bde589e434a023f251d0cd84d0c564b255035c4a8
|
| 3 |
+
size 3716299
|
e2/e2_l1_tulu_r16_s19/trajectory.dat.zst
ADDED
|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8e6904c7ade064075125cff575de1de3ce52eab52a35c1f9abac3880e42966a7
|
| 3 |
+
size 1690624468
|
e2/e2_l2_gsm8k_wd0.1_s17/config.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"run_id": "e2_l2_gsm8k_wd0.1_s17",
|
| 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": 5000,
|
| 9 |
+
"lora_r": 8,
|
| 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": 0.1,
|
| 20 |
+
"betas": [
|
| 21 |
+
0.9,
|
| 22 |
+
0.999
|
| 23 |
+
],
|
| 24 |
+
"momentum": 0.0,
|
| 25 |
+
"adam_eps": 1e-08,
|
| 26 |
+
"grad_clip": 1.0,
|
| 27 |
+
"snapshot_every": 25,
|
| 28 |
+
"probe_every": 50,
|
| 29 |
+
"eval_every": 100,
|
| 30 |
+
"eval_batches": 8,
|
| 31 |
+
"seed": 17,
|
| 32 |
+
"data_seed": 17,
|
| 33 |
+
"warm_start": null,
|
| 34 |
+
"gauge_transform": "none",
|
| 35 |
+
"gauge_c": 4.0,
|
| 36 |
+
"gauge_seed": 0,
|
| 37 |
+
"save_warm_at": null,
|
| 38 |
+
"device": "auto",
|
| 39 |
+
"base_dtype": "auto",
|
| 40 |
+
"out_root": "runs"
|
| 41 |
+
}
|
e2/e2_l2_gsm8k_wd0.1_s17/log.txt
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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]
|
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Loading weights: 100%|██████████| 310/310 [00:00<00:00, 5501.80it/s]
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[e2_l2_gsm8k_wd0.1_s17] step 50/5000 loss 0.4852 (39s)
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| 101 |
+
[e2_l2_gsm8k_wd0.1_s17] step 4850/5000 loss 0.2053 (3345s)
|
| 102 |
+
[e2_l2_gsm8k_wd0.1_s17] step 4900/5000 loss 0.2070 (3380s)
|
| 103 |
+
[e2_l2_gsm8k_wd0.1_s17] step 4950/5000 loss 0.2278 (3414s)
|
| 104 |
+
[e2_l2_gsm8k_wd0.1_s17] step 5000/5000 loss 0.2084 (3449s)
|
| 105 |
+
[e2_l2_gsm8k_wd0.1_s17] DONE in 3449s -> runs/e2_l2_gsm8k_wd0.1_s17
|
e2/e2_l2_gsm8k_wd0.1_s17/meta.json
ADDED
|
@@ -0,0 +1,2388 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"n_states": 201,
|
| 3 |
+
"max_states": 204,
|
| 4 |
+
"n_params": 2293760,
|
| 5 |
+
"dtype": "float16",
|
| 6 |
+
"layout": "states x flat named_parameters (requires_grad only)",
|
| 7 |
+
"steps": [
|
| 8 |
+
0,
|
| 9 |
+
25,
|
| 10 |
+
50,
|
| 11 |
+
75,
|
| 12 |
+
100,
|
| 13 |
+
125,
|
| 14 |
+
150,
|
| 15 |
+
175,
|
| 16 |
+
200,
|
| 17 |
+
225,
|
| 18 |
+
250,
|
| 19 |
+
275,
|
| 20 |
+
300,
|
| 21 |
+
325,
|
| 22 |
+
350,
|
| 23 |
+
375,
|
| 24 |
+
400,
|
| 25 |
+
425,
|
| 26 |
+
450,
|
| 27 |
+
475,
|
| 28 |
+
500,
|
| 29 |
+
525,
|
| 30 |
+
550,
|
| 31 |
+
575,
|
| 32 |
+
600,
|
| 33 |
+
625,
|
| 34 |
+
650,
|
| 35 |
+
675,
|
| 36 |
+
700,
|
| 37 |
+
725,
|
| 38 |
+
750,
|
| 39 |
+
775,
|
| 40 |
+
800,
|
| 41 |
+
825,
|
| 42 |
+
850,
|
| 43 |
+
875,
|
| 44 |
+
900,
|
| 45 |
+
925,
|
| 46 |
+
950,
|
| 47 |
+
975,
|
| 48 |
+
1000,
|
| 49 |
+
1025,
|
| 50 |
+
1050,
|
| 51 |
+
1075,
|
| 52 |
+
1100,
|
| 53 |
+
1125,
|
| 54 |
+
1150,
|
| 55 |
+
1175,
|
| 56 |
+
1200,
|
| 57 |
+
1225,
|
| 58 |
+
1250,
|
| 59 |
+
1275,
|
| 60 |
+
1300,
|
| 61 |
+
1325,
|
| 62 |
+
1350,
|
| 63 |
+
1375,
|
| 64 |
+
1400,
|
| 65 |
+
1425,
|
| 66 |
+
1450,
|
| 67 |
+
1475,
|
| 68 |
+
1500,
|
| 69 |
+
1525,
|
| 70 |
+
1550,
|
| 71 |
+
1575,
|
| 72 |
+
1600,
|
| 73 |
+
1625,
|
| 74 |
+
1650,
|
| 75 |
+
1675,
|
| 76 |
+
1700,
|
| 77 |
+
1725,
|
| 78 |
+
1750,
|
| 79 |
+
1775,
|
| 80 |
+
1800,
|
| 81 |
+
1825,
|
| 82 |
+
1850,
|
| 83 |
+
1875,
|
| 84 |
+
1900,
|
| 85 |
+
1925,
|
| 86 |
+
1950,
|
| 87 |
+
1975,
|
| 88 |
+
2000,
|
| 89 |
+
2025,
|
| 90 |
+
2050,
|
| 91 |
+
2075,
|
| 92 |
+
2100,
|
| 93 |
+
2125,
|
| 94 |
+
2150,
|
| 95 |
+
2175,
|
| 96 |
+
2200,
|
| 97 |
+
2225,
|
| 98 |
+
2250,
|
| 99 |
+
2275,
|
| 100 |
+
2300,
|
| 101 |
+
2325,
|
| 102 |
+
2350,
|
| 103 |
+
2375,
|
| 104 |
+
2400,
|
| 105 |
+
2425,
|
| 106 |
+
2450,
|
| 107 |
+
2475,
|
| 108 |
+
2500,
|
| 109 |
+
2525,
|
| 110 |
+
2550,
|
| 111 |
+
2575,
|
| 112 |
+
2600,
|
| 113 |
+
2625,
|
| 114 |
+
2650,
|
| 115 |
+
2675,
|
| 116 |
+
2700,
|
| 117 |
+
2725,
|
| 118 |
+
2750,
|
| 119 |
+
2775,
|
| 120 |
+
2800,
|
| 121 |
+
2825,
|
| 122 |
+
2850,
|
| 123 |
+
2875,
|
| 124 |
+
2900,
|
| 125 |
+
2925,
|
| 126 |
+
2950,
|
| 127 |
+
2975,
|
| 128 |
+
3000,
|
| 129 |
+
3025,
|
| 130 |
+
3050,
|
| 131 |
+
3075,
|
| 132 |
+
3100,
|
| 133 |
+
3125,
|
| 134 |
+
3150,
|
| 135 |
+
3175,
|
| 136 |
+
3200,
|
| 137 |
+
3225,
|
| 138 |
+
3250,
|
| 139 |
+
3275,
|
| 140 |
+
3300,
|
| 141 |
+
3325,
|
| 142 |
+
3350,
|
| 143 |
+
3375,
|
| 144 |
+
3400,
|
| 145 |
+
3425,
|
| 146 |
+
3450,
|
| 147 |
+
3475,
|
| 148 |
+
3500,
|
| 149 |
+
3525,
|
| 150 |
+
3550,
|
| 151 |
+
3575,
|
| 152 |
+
3600,
|
| 153 |
+
3625,
|
| 154 |
+
3650,
|
| 155 |
+
3675,
|
| 156 |
+
3700,
|
| 157 |
+
3725,
|
| 158 |
+
3750,
|
| 159 |
+
3775,
|
| 160 |
+
3800,
|
| 161 |
+
3825,
|
| 162 |
+
3850,
|
| 163 |
+
3875,
|
| 164 |
+
3900,
|
| 165 |
+
3925,
|
| 166 |
+
3950,
|
| 167 |
+
3975,
|
| 168 |
+
4000,
|
| 169 |
+
4025,
|
| 170 |
+
4050,
|
| 171 |
+
4075,
|
| 172 |
+
4100,
|
| 173 |
+
4125,
|
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| 2377 |
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| 2380 |
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| 2382 |
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"base_dtype": "torch.bfloat16"
|
| 2388 |
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}
|
e2/e2_l2_gsm8k_wd0.1_s17/metrics.npz
ADDED
|
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:e50d61a8fd2db622773c36e22e6e2d7e98537691513740d225ce3aeafbc9e1fd
|
| 3 |
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size 2057319
|
e2/e2_l2_gsm8k_wd0.1_s17/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:10c836da1d26b2393ef010c412771c0ef34f419698fe7bec356494df8abbe069
|
| 3 |
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size 846549683
|
e2/e2_l2_gsm8k_wd1_s17/config.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"run_id": "e2_l2_gsm8k_wd1_s17",
|
| 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": 5000,
|
| 9 |
+
"lora_r": 8,
|
| 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": 1.0,
|
| 20 |
+
"betas": [
|
| 21 |
+
0.9,
|
| 22 |
+
0.999
|
| 23 |
+
],
|
| 24 |
+
"momentum": 0.0,
|
| 25 |
+
"adam_eps": 1e-08,
|
| 26 |
+
"grad_clip": 1.0,
|
| 27 |
+
"snapshot_every": 25,
|
| 28 |
+
"probe_every": 50,
|
| 29 |
+
"eval_every": 100,
|
| 30 |
+
"eval_batches": 8,
|
| 31 |
+
"seed": 17,
|
| 32 |
+
"data_seed": 17,
|
| 33 |
+
"warm_start": null,
|
| 34 |
+
"gauge_transform": "none",
|
| 35 |
+
"gauge_c": 4.0,
|
| 36 |
+
"gauge_seed": 0,
|
| 37 |
+
"save_warm_at": null,
|
| 38 |
+
"device": "auto",
|
| 39 |
+
"base_dtype": "auto",
|
| 40 |
+
"out_root": "runs"
|
| 41 |
+
}
|
e2/e2_l2_gsm8k_wd1_s17/log.txt
ADDED
|
@@ -0,0 +1,105 @@
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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]
|
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+
Loading weights: 100%|██████████| 310/310 [00:00<00:00, 5419.77it/s]
|
| 5 |
+
[e2_l2_gsm8k_wd1_s17] step 50/5000 loss 0.4850 (39s)
|
| 6 |
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[e2_l2_gsm8k_wd1_s17] step 100/5000 loss 0.4393 (74s)
|
| 7 |
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[e2_l2_gsm8k_wd1_s17] step 150/5000 loss 0.4389 (108s)
|
| 8 |
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[e2_l2_gsm8k_wd1_s17] step 200/5000 loss 0.4172 (143s)
|
| 9 |
+
[e2_l2_gsm8k_wd1_s17] step 250/5000 loss 0.4196 (177s)
|
| 10 |
+
[e2_l2_gsm8k_wd1_s17] step 300/5000 loss 0.4218 (212s)
|
| 11 |
+
[e2_l2_gsm8k_wd1_s17] step 350/5000 loss 0.4351 (246s)
|
| 12 |
+
[e2_l2_gsm8k_wd1_s17] step 400/5000 loss 0.4377 (281s)
|
| 13 |
+
[e2_l2_gsm8k_wd1_s17] step 450/5000 loss 0.4453 (315s)
|
| 14 |
+
[e2_l2_gsm8k_wd1_s17] step 500/5000 loss 0.4098 (350s)
|
| 15 |
+
[e2_l2_gsm8k_wd1_s17] step 550/5000 loss 0.4240 (383s)
|
| 16 |
+
[e2_l2_gsm8k_wd1_s17] step 600/5000 loss 0.4174 (419s)
|
| 17 |
+
[e2_l2_gsm8k_wd1_s17] step 650/5000 loss 0.4049 (452s)
|
| 18 |
+
[e2_l2_gsm8k_wd1_s17] step 700/5000 loss 0.4191 (488s)
|
| 19 |
+
[e2_l2_gsm8k_wd1_s17] step 750/5000 loss 0.4037 (521s)
|
| 20 |
+
[e2_l2_gsm8k_wd1_s17] step 800/5000 loss 0.4104 (556s)
|
| 21 |
+
[e2_l2_gsm8k_wd1_s17] step 850/5000 loss 0.3963 (590s)
|
| 22 |
+
[e2_l2_gsm8k_wd1_s17] step 900/5000 loss 0.3918 (625s)
|
| 23 |
+
[e2_l2_gsm8k_wd1_s17] step 950/5000 loss 0.3756 (659s)
|
| 24 |
+
[e2_l2_gsm8k_wd1_s17] step 1000/5000 loss 0.3752 (694s)
|
| 25 |
+
[e2_l2_gsm8k_wd1_s17] step 1050/5000 loss 0.3831 (728s)
|
| 26 |
+
[e2_l2_gsm8k_wd1_s17] step 1100/5000 loss 0.3800 (763s)
|
| 27 |
+
[e2_l2_gsm8k_wd1_s17] step 1150/5000 loss 0.3702 (797s)
|
| 28 |
+
[e2_l2_gsm8k_wd1_s17] step 1200/5000 loss 0.3981 (832s)
|
| 29 |
+
[e2_l2_gsm8k_wd1_s17] step 1250/5000 loss 0.4077 (866s)
|
| 30 |
+
[e2_l2_gsm8k_wd1_s17] step 1300/5000 loss 0.3932 (901s)
|
| 31 |
+
[e2_l2_gsm8k_wd1_s17] step 1350/5000 loss 0.3767 (934s)
|
| 32 |
+
[e2_l2_gsm8k_wd1_s17] step 1400/5000 loss 0.3704 (970s)
|
| 33 |
+
[e2_l2_gsm8k_wd1_s17] step 1450/5000 loss 0.3841 (1003s)
|
| 34 |
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[e2_l2_gsm8k_wd1_s17] step 1500/5000 loss 0.3719 (1038s)
|
| 35 |
+
[e2_l2_gsm8k_wd1_s17] step 1550/5000 loss 0.3796 (1072s)
|
| 36 |
+
[e2_l2_gsm8k_wd1_s17] step 1600/5000 loss 0.3792 (1107s)
|
| 37 |
+
[e2_l2_gsm8k_wd1_s17] step 1650/5000 loss 0.3734 (1141s)
|
| 38 |
+
[e2_l2_gsm8k_wd1_s17] step 1700/5000 loss 0.3930 (1176s)
|
| 39 |
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[e2_l2_gsm8k_wd1_s17] step 1750/5000 loss 0.3847 (1209s)
|
| 40 |
+
[e2_l2_gsm8k_wd1_s17] step 1800/5000 loss 0.3468 (1244s)
|
| 41 |
+
[e2_l2_gsm8k_wd1_s17] step 1850/5000 loss 0.3563 (1278s)
|
| 42 |
+
[e2_l2_gsm8k_wd1_s17] step 1900/5000 loss 0.3312 (1313s)
|
| 43 |
+
[e2_l2_gsm8k_wd1_s17] step 1950/5000 loss 0.3542 (1347s)
|
| 44 |
+
[e2_l2_gsm8k_wd1_s17] step 2000/5000 loss 0.3349 (1382s)
|
| 45 |
+
[e2_l2_gsm8k_wd1_s17] step 2050/5000 loss 0.3530 (1416s)
|
| 46 |
+
[e2_l2_gsm8k_wd1_s17] step 2100/5000 loss 0.3378 (1451s)
|
| 47 |
+
[e2_l2_gsm8k_wd1_s17] step 2150/5000 loss 0.3550 (1485s)
|
| 48 |
+
[e2_l2_gsm8k_wd1_s17] step 2200/5000 loss 0.3330 (1520s)
|
| 49 |
+
[e2_l2_gsm8k_wd1_s17] step 2250/5000 loss 0.3460 (1553s)
|
| 50 |
+
[e2_l2_gsm8k_wd1_s17] step 2300/5000 loss 0.3483 (1588s)
|
| 51 |
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[e2_l2_gsm8k_wd1_s17] step 2350/5000 loss 0.3636 (1622s)
|
| 52 |
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[e2_l2_gsm8k_wd1_s17] step 2400/5000 loss 0.3519 (1657s)
|
| 53 |
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[e2_l2_gsm8k_wd1_s17] step 2450/5000 loss 0.3591 (1691s)
|
| 54 |
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[e2_l2_gsm8k_wd1_s17] step 2500/5000 loss 0.3577 (1726s)
|
| 55 |
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[e2_l2_gsm8k_wd1_s17] step 2550/5000 loss 0.3567 (1760s)
|
| 56 |
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[e2_l2_gsm8k_wd1_s17] step 2600/5000 loss 0.3617 (1795s)
|
| 57 |
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[e2_l2_gsm8k_wd1_s17] step 2650/5000 loss 0.3034 (1828s)
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| 58 |
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[e2_l2_gsm8k_wd1_s17] step 2700/5000 loss 0.3078 (1863s)
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| 59 |
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[e2_l2_gsm8k_wd1_s17] step 2750/5000 loss 0.3136 (1897s)
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| 60 |
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[e2_l2_gsm8k_wd1_s17] step 2800/5000 loss 0.3176 (1932s)
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| 61 |
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[e2_l2_gsm8k_wd1_s17] step 2850/5000 loss 0.3274 (1966s)
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| 62 |
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[e2_l2_gsm8k_wd1_s17] step 2900/5000 loss 0.3343 (2001s)
|
| 63 |
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[e2_l2_gsm8k_wd1_s17] step 2950/5000 loss 0.3101 (2034s)
|
| 64 |
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[e2_l2_gsm8k_wd1_s17] step 3000/5000 loss 0.3141 (2069s)
|
| 65 |
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[e2_l2_gsm8k_wd1_s17] step 3050/5000 loss 0.3413 (2103s)
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| 66 |
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[e2_l2_gsm8k_wd1_s17] step 3100/5000 loss 0.3156 (2138s)
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| 67 |
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[e2_l2_gsm8k_wd1_s17] step 3150/5000 loss 0.3571 (2172s)
|
| 68 |
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[e2_l2_gsm8k_wd1_s17] step 3200/5000 loss 0.3208 (2207s)
|
| 69 |
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[e2_l2_gsm8k_wd1_s17] step 3250/5000 loss 0.3159 (2241s)
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| 70 |
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[e2_l2_gsm8k_wd1_s17] step 3300/5000 loss 0.3155 (2276s)
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| 71 |
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[e2_l2_gsm8k_wd1_s17] step 3350/5000 loss 0.3433 (2309s)
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| 72 |
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[e2_l2_gsm8k_wd1_s17] step 3400/5000 loss 0.3152 (2345s)
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| 73 |
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[e2_l2_gsm8k_wd1_s17] step 3450/5000 loss 0.3331 (2378s)
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[e2_l2_gsm8k_wd1_s17] step 3500/5000 loss 0.2957 (2413s)
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[e2_l2_gsm8k_wd1_s17] step 3550/5000 loss 0.2908 (2447s)
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[e2_l2_gsm8k_wd1_s17] step 3600/5000 loss 0.2934 (2482s)
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| 77 |
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[e2_l2_gsm8k_wd1_s17] step 3650/5000 loss 0.2701 (2516s)
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| 78 |
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[e2_l2_gsm8k_wd1_s17] step 3700/5000 loss 0.2992 (2551s)
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| 79 |
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[e2_l2_gsm8k_wd1_s17] step 3750/5000 loss 0.2868 (2585s)
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| 80 |
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[e2_l2_gsm8k_wd1_s17] step 3800/5000 loss 0.3026 (2620s)
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| 81 |
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[e2_l2_gsm8k_wd1_s17] step 3850/5000 loss 0.2914 (2653s)
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| 82 |
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[e2_l2_gsm8k_wd1_s17] step 3900/5000 loss 0.2851 (2689s)
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| 83 |
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[e2_l2_gsm8k_wd1_s17] step 3950/5000 loss 0.3070 (2722s)
|
| 84 |
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[e2_l2_gsm8k_wd1_s17] step 4000/5000 loss 0.3203 (2758s)
|
| 85 |
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[e2_l2_gsm8k_wd1_s17] step 4050/5000 loss 0.3013 (2791s)
|
| 86 |
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[e2_l2_gsm8k_wd1_s17] step 4100/5000 loss 0.2998 (2826s)
|
| 87 |
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[e2_l2_gsm8k_wd1_s17] step 4150/5000 loss 0.3002 (2860s)
|
| 88 |
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[e2_l2_gsm8k_wd1_s17] step 4200/5000 loss 0.2837 (2895s)
|
| 89 |
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[e2_l2_gsm8k_wd1_s17] step 4250/5000 loss 0.3066 (2929s)
|
| 90 |
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[e2_l2_gsm8k_wd1_s17] step 4300/5000 loss 0.3124 (2964s)
|
| 91 |
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[e2_l2_gsm8k_wd1_s17] step 4350/5000 loss 0.3079 (2998s)
|
| 92 |
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[e2_l2_gsm8k_wd1_s17] step 4400/5000 loss 0.2554 (3033s)
|
| 93 |
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[e2_l2_gsm8k_wd1_s17] step 4450/5000 loss 0.2498 (3067s)
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| 94 |
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[e2_l2_gsm8k_wd1_s17] step 4500/5000 loss 0.2480 (3102s)
|
| 95 |
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[e2_l2_gsm8k_wd1_s17] step 4550/5000 loss 0.2578 (3135s)
|
| 96 |
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[e2_l2_gsm8k_wd1_s17] step 4600/5000 loss 0.2665 (3171s)
|
| 97 |
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[e2_l2_gsm8k_wd1_s17] step 4650/5000 loss 0.2870 (3204s)
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| 98 |
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[e2_l2_gsm8k_wd1_s17] step 4700/5000 loss 0.2660 (3239s)
|
| 99 |
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[e2_l2_gsm8k_wd1_s17] step 4750/5000 loss 0.2710 (3273s)
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| 100 |
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[e2_l2_gsm8k_wd1_s17] step 4800/5000 loss 0.2535 (3308s)
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| 101 |
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[e2_l2_gsm8k_wd1_s17] step 4850/5000 loss 0.2602 (3342s)
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| 102 |
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[e2_l2_gsm8k_wd1_s17] step 4900/5000 loss 0.2645 (3377s)
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| 103 |
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[e2_l2_gsm8k_wd1_s17] step 4950/5000 loss 0.2853 (3410s)
|
| 104 |
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[e2_l2_gsm8k_wd1_s17] step 5000/5000 loss 0.2652 (3445s)
|
| 105 |
+
[e2_l2_gsm8k_wd1_s17] DONE in 3446s -> runs/e2_l2_gsm8k_wd1_s17
|
e2/e2_l2_gsm8k_wd1_s17/meta.json
ADDED
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"base_model.model.model.layers.27.self_attn.v_proj",
|
| 2354 |
+
"base_model.model.model.layers.3.self_attn.k_proj",
|
| 2355 |
+
"base_model.model.model.layers.3.self_attn.o_proj",
|
| 2356 |
+
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|
| 2357 |
+
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|
| 2358 |
+
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|
| 2359 |
+
"base_model.model.model.layers.4.self_attn.o_proj",
|
| 2360 |
+
"base_model.model.model.layers.4.self_attn.q_proj",
|
| 2361 |
+
"base_model.model.model.layers.4.self_attn.v_proj",
|
| 2362 |
+
"base_model.model.model.layers.5.self_attn.k_proj",
|
| 2363 |
+
"base_model.model.model.layers.5.self_attn.o_proj",
|
| 2364 |
+
"base_model.model.model.layers.5.self_attn.q_proj",
|
| 2365 |
+
"base_model.model.model.layers.5.self_attn.v_proj",
|
| 2366 |
+
"base_model.model.model.layers.6.self_attn.k_proj",
|
| 2367 |
+
"base_model.model.model.layers.6.self_attn.o_proj",
|
| 2368 |
+
"base_model.model.model.layers.6.self_attn.q_proj",
|
| 2369 |
+
"base_model.model.model.layers.6.self_attn.v_proj",
|
| 2370 |
+
"base_model.model.model.layers.7.self_attn.k_proj",
|
| 2371 |
+
"base_model.model.model.layers.7.self_attn.o_proj",
|
| 2372 |
+
"base_model.model.model.layers.7.self_attn.q_proj",
|
| 2373 |
+
"base_model.model.model.layers.7.self_attn.v_proj",
|
| 2374 |
+
"base_model.model.model.layers.8.self_attn.k_proj",
|
| 2375 |
+
"base_model.model.model.layers.8.self_attn.o_proj",
|
| 2376 |
+
"base_model.model.model.layers.8.self_attn.q_proj",
|
| 2377 |
+
"base_model.model.model.layers.8.self_attn.v_proj",
|
| 2378 |
+
"base_model.model.model.layers.9.self_attn.k_proj",
|
| 2379 |
+
"base_model.model.model.layers.9.self_attn.o_proj",
|
| 2380 |
+
"base_model.model.model.layers.9.self_attn.q_proj",
|
| 2381 |
+
"base_model.model.model.layers.9.self_attn.v_proj"
|
| 2382 |
+
],
|
| 2383 |
+
"scale": 2.0,
|
| 2384 |
+
"start_step": 0,
|
| 2385 |
+
"torch": "2.7.1+cu128",
|
| 2386 |
+
"device": "cuda",
|
| 2387 |
+
"base_dtype": "torch.bfloat16"
|
| 2388 |
+
}
|
e2/e2_l2_gsm8k_wd1_s17/metrics.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7232cfe5e4de88950cfd77bfcb1aa6e1ec88d12ea532577e5c652ba49162af24
|
| 3 |
+
size 2070354
|
e2/e2_l2_gsm8k_wd1_s17/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ef6bd86ca64182256021d4f9236b11f1e519dc92117838252aa4be5f9e223d8
|
| 3 |
+
size 846508575
|
e2/e2_o1_gsm8k_s18/config.json
ADDED
|
@@ -0,0 +1,41 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"run_id": "e2_o1_gsm8k_s18",
|
| 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": 800,
|
| 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 |
+
"momentum": 0.0,
|
| 25 |
+
"adam_eps": 1e-08,
|
| 26 |
+
"grad_clip": 1.0,
|
| 27 |
+
"snapshot_every": 10,
|
| 28 |
+
"probe_every": 10,
|
| 29 |
+
"eval_every": 100,
|
| 30 |
+
"eval_batches": 8,
|
| 31 |
+
"seed": 18,
|
| 32 |
+
"data_seed": 17,
|
| 33 |
+
"warm_start": null,
|
| 34 |
+
"gauge_transform": "none",
|
| 35 |
+
"gauge_c": 4.0,
|
| 36 |
+
"gauge_seed": 0,
|
| 37 |
+
"save_warm_at": null,
|
| 38 |
+
"device": "auto",
|
| 39 |
+
"base_dtype": "auto",
|
| 40 |
+
"out_root": "runs"
|
| 41 |
+
}
|
e2/e2_o1_gsm8k_s18/log.txt
ADDED
|
@@ -0,0 +1,21 @@
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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, 4498.94it/s]
|
| 5 |
+
[e2_o1_gsm8k_s18] step 50/800 loss 0.4830 (41s)
|
| 6 |
+
[e2_o1_gsm8k_s18] step 100/800 loss 0.4376 (79s)
|
| 7 |
+
[e2_o1_gsm8k_s18] step 150/800 loss 0.4378 (116s)
|
| 8 |
+
[e2_o1_gsm8k_s18] step 200/800 loss 0.4150 (154s)
|
| 9 |
+
[e2_o1_gsm8k_s18] step 250/800 loss 0.4174 (190s)
|
| 10 |
+
[e2_o1_gsm8k_s18] step 300/800 loss 0.4199 (228s)
|
| 11 |
+
[e2_o1_gsm8k_s18] step 350/800 loss 0.4325 (264s)
|
| 12 |
+
[e2_o1_gsm8k_s18] step 400/800 loss 0.4347 (302s)
|
| 13 |
+
[e2_o1_gsm8k_s18] step 450/800 loss 0.4422 (338s)
|
| 14 |
+
[e2_o1_gsm8k_s18] step 500/800 loss 0.4081 (376s)
|
| 15 |
+
[e2_o1_gsm8k_s18] step 550/800 loss 0.4218 (412s)
|
| 16 |
+
[e2_o1_gsm8k_s18] step 600/800 loss 0.4145 (450s)
|
| 17 |
+
[e2_o1_gsm8k_s18] step 650/800 loss 0.4017 (486s)
|
| 18 |
+
[e2_o1_gsm8k_s18] step 700/800 loss 0.4161 (524s)
|
| 19 |
+
[e2_o1_gsm8k_s18] step 750/800 loss 0.4006 (560s)
|
| 20 |
+
[e2_o1_gsm8k_s18] step 800/800 loss 0.4076 (598s)
|
| 21 |
+
[e2_o1_gsm8k_s18] DONE in 598s -> runs/e2_o1_gsm8k_s18
|
e2/e2_o1_gsm8k_s18/meta.json
ADDED
|
@@ -0,0 +1,2268 @@
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|
| 1 |
+
{
|
| 2 |
+
"n_states": 81,
|
| 3 |
+
"max_states": 84,
|
| 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 |
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"base_dtype": "torch.bfloat16"
|
| 2268 |
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}
|
e2/e2_o1_gsm8k_s18/metrics.npz
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:dae9595b0bb481f85633ac6889d5e897e07ba12a44a98743449d22fb6a01c700
|
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size 1338105
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e2/e2_o1_gsm8k_s18/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
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|
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:401079c174417ff3458f4f7e501b5a37d1e4a498fab8a76179ebba1d81a472c4
|
| 3 |
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size 676778735
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e2/e2_o1_gsm8k_s19/config.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"run_id": "e2_o1_gsm8k_s19",
|
| 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": 800,
|
| 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 |
+
"momentum": 0.0,
|
| 25 |
+
"adam_eps": 1e-08,
|
| 26 |
+
"grad_clip": 1.0,
|
| 27 |
+
"snapshot_every": 10,
|
| 28 |
+
"probe_every": 10,
|
| 29 |
+
"eval_every": 100,
|
| 30 |
+
"eval_batches": 8,
|
| 31 |
+
"seed": 19,
|
| 32 |
+
"data_seed": 17,
|
| 33 |
+
"warm_start": null,
|
| 34 |
+
"gauge_transform": "none",
|
| 35 |
+
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|
| 36 |
+
"gauge_seed": 0,
|
| 37 |
+
"save_warm_at": null,
|
| 38 |
+
"device": "auto",
|
| 39 |
+
"base_dtype": "auto",
|
| 40 |
+
"out_root": "runs"
|
| 41 |
+
}
|
e2/e2_o1_gsm8k_s19/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.
|
| 2 |
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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, 6052.44it/s]
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| 5 |
+
[e2_o1_gsm8k_s19] step 50/800 loss 0.4824 (41s)
|
| 6 |
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[e2_o1_gsm8k_s19] step 100/800 loss 0.4378 (79s)
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| 7 |
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[e2_o1_gsm8k_s19] step 150/800 loss 0.4381 (115s)
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| 8 |
+
[e2_o1_gsm8k_s19] step 200/800 loss 0.4154 (153s)
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| 9 |
+
[e2_o1_gsm8k_s19] step 250/800 loss 0.4177 (190s)
|
| 10 |
+
[e2_o1_gsm8k_s19] step 300/800 loss 0.4203 (227s)
|
| 11 |
+
[e2_o1_gsm8k_s19] step 350/800 loss 0.4333 (264s)
|
| 12 |
+
[e2_o1_gsm8k_s19] step 400/800 loss 0.4349 (301s)
|
| 13 |
+
[e2_o1_gsm8k_s19] step 450/800 loss 0.4429 (338s)
|
| 14 |
+
[e2_o1_gsm8k_s19] step 500/800 loss 0.4075 (376s)
|
| 15 |
+
[e2_o1_gsm8k_s19] step 550/800 loss 0.4219 (412s)
|
| 16 |
+
[e2_o1_gsm8k_s19] step 600/800 loss 0.4139 (450s)
|
| 17 |
+
[e2_o1_gsm8k_s19] step 650/800 loss 0.4017 (486s)
|
| 18 |
+
[e2_o1_gsm8k_s19] step 700/800 loss 0.4173 (524s)
|
| 19 |
+
[e2_o1_gsm8k_s19] step 750/800 loss 0.4016 (561s)
|
| 20 |
+
[e2_o1_gsm8k_s19] step 800/800 loss 0.4088 (598s)
|
| 21 |
+
[e2_o1_gsm8k_s19] DONE in 599s -> runs/e2_o1_gsm8k_s19
|
e2/e2_o1_gsm8k_s19/meta.json
ADDED
|
@@ -0,0 +1,2268 @@
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|
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|
| 2211 |
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|
| 2212 |
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|
| 2213 |
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|
| 2214 |
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|
| 2215 |
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|
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|
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| 2220 |
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|
| 2221 |
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|
| 2222 |
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|
| 2223 |
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|
| 2224 |
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|
| 2225 |
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|
| 2226 |
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|
| 2227 |
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|
| 2228 |
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|
| 2229 |
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|
| 2230 |
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|
| 2232 |
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|
| 2240 |
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|
| 2241 |
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|
| 2242 |
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|
| 2243 |
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|
| 2244 |
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|
| 2245 |
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|
| 2246 |
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|
| 2247 |
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|
| 2248 |
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|
| 2249 |
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|
| 2250 |
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|
| 2251 |
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|
| 2252 |
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|
| 2253 |
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|
| 2254 |
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|
| 2255 |
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|
| 2256 |
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|
| 2257 |
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|
| 2258 |
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|
| 2259 |
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|
| 2260 |
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|
| 2261 |
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"base_model.model.model.layers.9.self_attn.v_proj"
|
| 2262 |
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],
|
| 2263 |
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"scale": 2.0,
|
| 2264 |
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"start_step": 0,
|
| 2265 |
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"torch": "2.7.1+cu128",
|
| 2266 |
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"device": "cuda",
|
| 2267 |
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"base_dtype": "torch.bfloat16"
|
| 2268 |
+
}
|
e2/e2_o1_gsm8k_s19/metrics.npz
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:8035f93aa7c17e4db8ab303d9f1817caab8ad2af01c467a6775e4ee4db09d512
|
| 3 |
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size 1337791
|
e2/e2_o1_gsm8k_s19/trajectory.dat.zst
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:6a675eda3f81caf0528596a210e1eb0d144a1fa411f2d90500013f330b815d63
|
| 3 |
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size 676760042
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