Buckets:
| { | |
| "final_accuracy": { | |
| "bp_checkpoint": { | |
| "mean": 0.7099609375, | |
| "std": 0.023700509959983587 | |
| }, | |
| "fmad": { | |
| "mean": 0.2841796875, | |
| "std": 0.014778072217208551 | |
| }, | |
| "zo": { | |
| "mean": 0.3076171875, | |
| "std": 0.02046125667945016 | |
| } | |
| }, | |
| "accuracy_gap_percentage_points": { | |
| "bp_minus_fmad": { | |
| "mean": 42.578125, | |
| "std": 3.7327177448469517 | |
| }, | |
| "bp_minus_zo": { | |
| "mean": 40.234375, | |
| "std": 2.3089043784251735 | |
| } | |
| }, | |
| "peak_memory_mb": { | |
| "bp_checkpoint": { | |
| "mean": 58.61767578125, | |
| "std": 0.0 | |
| }, | |
| "fmad": { | |
| "mean": 57.091796875, | |
| "std": 0.0 | |
| }, | |
| "zo": { | |
| "mean": 57.150390625, | |
| "std": 0.0 | |
| } | |
| }, | |
| "bp_threshold": { | |
| "accuracy": 0.45, | |
| "steps": { | |
| "mean": 266.6666666666667, | |
| "std": 115.47005383792515 | |
| }, | |
| "train_seconds": { | |
| "mean": 2.721017178332962, | |
| "std": 1.0941186816836288 | |
| }, | |
| "flops": { | |
| "mean": 1409030553600.0, | |
| "std": 610128127063.0255 | |
| } | |
| }, | |
| "alternatives_threshold": "0/3 seeds reached 45% by 4,000 steps", | |
| "censored_lower_bounds": { | |
| "fmad_compute_ratio_over_bp": { | |
| "mean": 5.298812563662495, | |
| "std": 1.8355625160095475 | |
| }, | |
| "zo_compute_ratio_over_bp": { | |
| "mean": 30.80047689700668, | |
| "std": 10.669598176593395 | |
| }, | |
| "bp_faster_than_fmad_percent": { | |
| "mean": 94.21806957039674, | |
| "std": 2.3902114480860948 | |
| }, | |
| "bp_faster_than_zo_percent": { | |
| "mean": 89.02650377320361, | |
| "std": 4.519499232535944 | |
| } | |
| }, | |
| "same_batch_seed0": { | |
| "scope": "scaled AG News proxy; not an exact full-paper replication", | |
| "dataset": "https://huggingface.co/datasets/fancyzhx/ag_news", | |
| "official_code": "https://github.com/Astuary/Gradient_Estimation_Methods/tree/bc5798add2339d1317664462648167fc6b987671", | |
| "hardware": { | |
| "device": "cuda", | |
| "gpu": "NVIDIA A10G", | |
| "torch": "2.7.1+cu128", | |
| "cuda": "12.8", | |
| "job_id": null | |
| }, | |
| "configuration": { | |
| "output_dir": "/work/seed0", | |
| "train_size": 8192, | |
| "eval_size": 1024, | |
| "vocab_size": 12000, | |
| "seq_len": 64, | |
| "width": 192, | |
| "depth": 8, | |
| "rank": 1, | |
| "batch_size": 128, | |
| "steps": 400, | |
| "eval_every": 25, | |
| "threshold": 0.55, | |
| "perturbations": 1, | |
| "zo_eps": 0.001, | |
| "grad_clip": 5.0, | |
| "lr_bp": 0.003, | |
| "lr_fmad": 0.001, | |
| "lr_zo": 0.001, | |
| "seed": 0, | |
| "synthetic": false, | |
| "device": "cuda" | |
| }, | |
| "methods": [ | |
| { | |
| "method": "bp_checkpoint", | |
| "initial_accuracy": 0.25, | |
| "final_accuracy": 0.541015625, | |
| "best_accuracy": 0.541015625, | |
| "total_train_s": 4.09987770199848, | |
| "peak_memory_mb": 105.111328125, | |
| "step_flops": 14090305536, | |
| "threshold": 0.55, | |
| "threshold_step": null, | |
| "threshold_train_s": null, | |
| "threshold_flops": null, | |
| "threshold_censored": true | |
| }, | |
| { | |
| "method": "fmad", | |
| "initial_accuracy": 0.25, | |
| "final_accuracy": 0.2509765625, | |
| "best_accuracy": 0.2548828125, | |
| "total_train_s": 4.869865859001152, | |
| "peak_memory_mb": 267.61181640625, | |
| "step_flops": 13439139840, | |
| "threshold": 0.55, | |
| "threshold_step": null, | |
| "threshold_train_s": null, | |
| "threshold_flops": null, | |
| "threshold_censored": true | |
| }, | |
| { | |
| "method": "zo", | |
| "initial_accuracy": 0.25, | |
| "final_accuracy": 0.2509765625, | |
| "best_accuracy": 0.2548828125, | |
| "total_train_s": 2.5066474040000912, | |
| "peak_memory_mb": 57.150390625, | |
| "step_flops": 9764732928, | |
| "threshold": 0.55, | |
| "threshold_step": null, | |
| "threshold_train_s": null, | |
| "threshold_flops": null, | |
| "threshold_censored": true | |
| } | |
| ], | |
| "comparisons": { | |
| "bp_vs_fmad": { | |
| "final_accuracy_gap_percentage_points": 29.00390625, | |
| "final_accuracy_relative_gain_percent": 115.56420233463034, | |
| "peak_memory_ratio_bp_over_other": 0.392775362226289, | |
| "total_wall_time_ratio_other_over_bp": 1.1878075915843398 | |
| }, | |
| "bp_vs_zo": { | |
| "final_accuracy_gap_percentage_points": 29.00390625, | |
| "final_accuracy_relative_gain_percent": 115.56420233463034, | |
| "peak_memory_ratio_bp_over_other": 1.8392057687707186, | |
| "total_wall_time_ratio_other_over_bp": 0.6113956527967235 | |
| } | |
| } | |
| } | |
| } |
Xet Storage Details
- Size:
- 4.48 kB
- Xet hash:
- ae81430fd9e96b84911ae080c8687a6ebee4a4a778b2ba8fb3d1c2bac21e697a
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.