Buckets:
| { | |
| "source": "/home/USER/cwm3/results/alert_timing/20260917T165927Z/thresholds.json", | |
| "source_sha256": "d900412d1574a4063149dc4588e50267cf7635eb14c5415776d22a9cf1915d82", | |
| "score_name": "cur_dwfc", | |
| "column": "W_learned_curhgb_t15_w10_n979dwfc", | |
| "seed": 0, | |
| "fit_split": "val", | |
| "deployed_budget_per_hour": 20, | |
| "cooldown_s": 60.0, | |
| "hold_s": 3.0, | |
| "compare_note": "eval/alert_timing_eval.alert_rows compares the float32 score column with the python-float threshold -> NumPy 2 casts the threshold to float32 (demo/export_clip.py:682-687); thr_f32 is the applied value, thr_json the stored one", | |
| "keys": { | |
| "s0|val|cur_dwfc|manual|10": { | |
| "regime": "manual", | |
| "budget": 10, | |
| "thr_json": 0.6235352144594799, | |
| "thr_f32": 0.6235352158546448, | |
| "thr_f32_repr": "np.float32(0.6235352)", | |
| "thr_f32_hex": "0x3f1fa001", | |
| "achieved_fit": 9.981515711645102, | |
| "reachable": true, | |
| "floor_fit": 0.2559363002985923, | |
| "fit_split": "val" | |
| }, | |
| "s0|val|cur_dwfc|manual|20": { | |
| "regime": "manual", | |
| "budget": 20, | |
| "thr_json": 0.4931641108596523, | |
| "thr_f32": 0.4931641221046448, | |
| "thr_f32_repr": "np.float32(0.49316412)", | |
| "thr_f32_hex": "0x3efc8002", | |
| "achieved_fit": 19.963031423290204, | |
| "reachable": true, | |
| "floor_fit": 0.2559363002985923, | |
| "fit_split": "val" | |
| }, | |
| "s0|val|cur_dwfc|manual|40": { | |
| "regime": "manual", | |
| "budget": 40, | |
| "thr_json": 0.36279300725982466, | |
| "thr_f32": 0.3627929985523224, | |
| "thr_f32_repr": "np.float32(0.362793)", | |
| "thr_f32_hex": "0x3eb9c001", | |
| "achieved_fit": 39.92606284658041, | |
| "reachable": true, | |
| "floor_fit": 0.2559363002985923, | |
| "fit_split": "val" | |
| }, | |
| "s0|val|cur_dwfc|engaged|10": { | |
| "regime": "engaged", | |
| "budget": 10, | |
| "thr_json": 0.7558594534802978, | |
| "thr_f32": 0.7558594346046448, | |
| "thr_f32_repr": "np.float32(0.75585943)", | |
| "thr_f32_hex": "0x3f418001", | |
| "achieved_fit": 9.896528103255578, | |
| "reachable": true, | |
| "floor_fit": 0.1622381656271406, | |
| "fit_split": "val" | |
| }, | |
| "s0|val|cur_dwfc|engaged|20": { | |
| "regime": "engaged", | |
| "budget": 20, | |
| "thr_json": 0.6269531710804586, | |
| "thr_f32": 0.6269531846046448, | |
| "thr_f32_repr": "np.float32(0.6269532)", | |
| "thr_f32_hex": "0x3f208001", | |
| "achieved_fit": 19.955294372138297, | |
| "reachable": true, | |
| "floor_fit": 0.1622381656271406, | |
| "fit_split": "val" | |
| }, | |
| "s0|val|cur_dwfc|engaged|40": { | |
| "regime": "engaged", | |
| "budget": 40, | |
| "thr_json": 0.38378911790459824, | |
| "thr_f32": 0.3837891221046448, | |
| "thr_f32_repr": "np.float32(0.38378912)", | |
| "thr_f32_hex": "0x3ec48002", | |
| "achieved_fit": 39.910588744276595, | |
| "reachable": true, | |
| "floor_fit": 0.1622381656271406, | |
| "fit_split": "val" | |
| } | |
| } | |
| } |
Xet Storage Details
- Size:
- 2.67 kB
- Xet hash:
- feb8d2786b9c852bb5c01827542921efc91ca4aad43bf04b14b94f92096fc6ef
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.