Instructions to use 77ethers/CarbonAlpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 77ethers/CarbonAlpha with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
grpo_qwen3_4b_base_smoke_v2: smoke metrics
Browse files
grpo_qwen3_4b_base_smoke_v2/smoke_metrics.json
ADDED
|
@@ -0,0 +1,95 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"beats_v6_sft_mean_regret": false,
|
| 3 |
+
"clip_ratio/high_max": 0.0,
|
| 4 |
+
"clip_ratio/high_mean": 0.0,
|
| 5 |
+
"clip_ratio/low_mean": 0.0,
|
| 6 |
+
"clip_ratio/low_min": 0.0,
|
| 7 |
+
"clip_ratio/region_mean": 0.0,
|
| 8 |
+
"completion_length": 397.0,
|
| 9 |
+
"completions/clipped_ratio": 0.5,
|
| 10 |
+
"completions/max_length": 400.0,
|
| 11 |
+
"completions/max_terminated_length": 394.0,
|
| 12 |
+
"completions/mean_length": 397.0,
|
| 13 |
+
"completions/mean_terminated_length": 394.0,
|
| 14 |
+
"completions/min_length": 394.0,
|
| 15 |
+
"completions/min_terminated_length": 394.0,
|
| 16 |
+
"epoch": 0.25,
|
| 17 |
+
"frac_reward_zero_std": 0.0,
|
| 18 |
+
"grad_norm": 0.6757590174674988,
|
| 19 |
+
"holdout_eval": {
|
| 20 |
+
"beats_baseline": 3,
|
| 21 |
+
"mean_regret": -0.022913286631148444,
|
| 22 |
+
"results": {
|
| 23 |
+
"100": {
|
| 24 |
+
"final_nav_real": 1.0051330135051495,
|
| 25 |
+
"regret": 0.009040482511816661,
|
| 26 |
+
"shock": "hard_rare_earth_rotation",
|
| 27 |
+
"tokens": 299,
|
| 28 |
+
"valid": true
|
| 29 |
+
},
|
| 30 |
+
"200": {
|
| 31 |
+
"final_nav_real": 1.102640331615326,
|
| 32 |
+
"regret": 0.04517043934584475,
|
| 33 |
+
"shock": "easy_tech_earnings",
|
| 34 |
+
"tokens": 312,
|
| 35 |
+
"valid": true
|
| 36 |
+
},
|
| 37 |
+
"300": {
|
| 38 |
+
"final_nav_real": 1.1385021769021257,
|
| 39 |
+
"regret": 0.05516963801759678,
|
| 40 |
+
"shock": "easy_tech_earnings",
|
| 41 |
+
"tokens": 312,
|
| 42 |
+
"valid": true
|
| 43 |
+
},
|
| 44 |
+
"400": {
|
| 45 |
+
"regret": null,
|
| 46 |
+
"shock": "hard_deflation_pulse",
|
| 47 |
+
"tokens": 400,
|
| 48 |
+
"valid": false
|
| 49 |
+
},
|
| 50 |
+
"500": {
|
| 51 |
+
"final_nav_real": 0.7199767352678711,
|
| 52 |
+
"regret": -0.20103370639985196,
|
| 53 |
+
"shock": "ambig_ai_efficiency",
|
| 54 |
+
"tokens": 273,
|
| 55 |
+
"valid": true
|
| 56 |
+
}
|
| 57 |
+
},
|
| 58 |
+
"total": 5,
|
| 59 |
+
"v6_sft_mean_regret_bar": 0.034,
|
| 60 |
+
"valid": 4
|
| 61 |
+
},
|
| 62 |
+
"kl": 0.523089587688446,
|
| 63 |
+
"last": {
|
| 64 |
+
"epoch": 0.25,
|
| 65 |
+
"step": 10,
|
| 66 |
+
"total_flos": 0.0,
|
| 67 |
+
"train_loss": 0.05426511098630726,
|
| 68 |
+
"train_runtime": 98.8388,
|
| 69 |
+
"train_samples_per_second": 0.202,
|
| 70 |
+
"train_steps_per_second": 0.101
|
| 71 |
+
},
|
| 72 |
+
"learning_rate": 5.555555555555555e-07,
|
| 73 |
+
"log_rows": 11,
|
| 74 |
+
"loss": 0.0059,
|
| 75 |
+
"num_tokens": 17355.0,
|
| 76 |
+
"reward": -0.18050935864448547,
|
| 77 |
+
"reward_std": 1.1589348316192627,
|
| 78 |
+
"rewards/base_action_phase1/mean": 0.17499998211860657,
|
| 79 |
+
"rewards/base_action_phase1/std": 0.6717514395713806,
|
| 80 |
+
"rewards/base_brevity_phase1/mean": -0.10000000149011612,
|
| 81 |
+
"rewards/base_brevity_phase1/std": 0.0,
|
| 82 |
+
"rewards/base_format_phase1/mean": 0.05000000074505806,
|
| 83 |
+
"rewards/base_format_phase1/std": 0.0707106813788414,
|
| 84 |
+
"rewards/base_regret_phase1/mean": -0.23050934076309204,
|
| 85 |
+
"rewards/base_regret_phase1/std": 0.3811173439025879,
|
| 86 |
+
"rewards/base_structure_phase1/mean": -0.07500000298023224,
|
| 87 |
+
"rewards/base_structure_phase1/std": 0.0353553369641304,
|
| 88 |
+
"smoke_gate_passed": true,
|
| 89 |
+
"step": 10,
|
| 90 |
+
"total_flos": 0.0,
|
| 91 |
+
"train_loss": 0.05426511098630726,
|
| 92 |
+
"train_runtime": 98.8388,
|
| 93 |
+
"train_samples_per_second": 0.202,
|
| 94 |
+
"train_steps_per_second": 0.101
|
| 95 |
+
}
|