| { | |
| "configs": [ | |
| { | |
| "sweep": "sample", | |
| "seed": 0, | |
| "d": 50, | |
| "tasks": 3, | |
| "n_first": 800, | |
| "n_later": 800, | |
| "width": 1000, | |
| "steps": 200, | |
| "lr": 12.5, | |
| "sigma_scale": 0.1, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "test_n": 5000 | |
| }, | |
| { | |
| "sweep": "sample", | |
| "seed": 0, | |
| "d": 50, | |
| "tasks": 3, | |
| "n_first": 800, | |
| "n_later": 2500, | |
| "width": 1000, | |
| "steps": 200, | |
| "lr": 12.5, | |
| "sigma_scale": 0.1, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "test_n": 5000 | |
| }, | |
| { | |
| "sweep": "sample", | |
| "seed": 1, | |
| "d": 50, | |
| "tasks": 3, | |
| "n_first": 800, | |
| "n_later": 800, | |
| "width": 1000, | |
| "steps": 200, | |
| "lr": 12.5, | |
| "sigma_scale": 0.1, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "test_n": 5000 | |
| }, | |
| { | |
| "sweep": "sample", | |
| "seed": 1, | |
| "d": 50, | |
| "tasks": 3, | |
| "n_first": 800, | |
| "n_later": 2500, | |
| "width": 1000, | |
| "steps": 200, | |
| "lr": 12.5, | |
| "sigma_scale": 0.1, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "test_n": 5000 | |
| }, | |
| { | |
| "sweep": "sample", | |
| "seed": 2, | |
| "d": 50, | |
| "tasks": 3, | |
| "n_first": 800, | |
| "n_later": 800, | |
| "width": 1000, | |
| "steps": 200, | |
| "lr": 12.5, | |
| "sigma_scale": 0.1, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "test_n": 5000 | |
| }, | |
| { | |
| "sweep": "sample", | |
| "seed": 2, | |
| "d": 50, | |
| "tasks": 3, | |
| "n_first": 800, | |
| "n_later": 2500, | |
| "width": 1000, | |
| "steps": 200, | |
| "lr": 12.5, | |
| "sigma_scale": 0.1, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "test_n": 5000 | |
| }, | |
| { | |
| "sweep": "sample", | |
| "seed": 3, | |
| "d": 50, | |
| "tasks": 3, | |
| "n_first": 800, | |
| "n_later": 800, | |
| "width": 1000, | |
| "steps": 200, | |
| "lr": 12.5, | |
| "sigma_scale": 0.1, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "test_n": 5000 | |
| }, | |
| { | |
| "sweep": "sample", | |
| "seed": 3, | |
| "d": 50, | |
| "tasks": 3, | |
| "n_first": 800, | |
| "n_later": 2500, | |
| "width": 1000, | |
| "steps": 200, | |
| "lr": 12.5, | |
| "sigma_scale": 0.1, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "test_n": 5000 | |
| }, | |
| { | |
| "sweep": "sample", | |
| "seed": 4, | |
| "d": 50, | |
| "tasks": 3, | |
| "n_first": 800, | |
| "n_later": 800, | |
| "width": 1000, | |
| "steps": 200, | |
| "lr": 12.5, | |
| "sigma_scale": 0.1, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "test_n": 5000 | |
| }, | |
| { | |
| "sweep": "sample", | |
| "seed": 4, | |
| "d": 50, | |
| "tasks": 3, | |
| "n_first": 800, | |
| "n_later": 2500, | |
| "width": 1000, | |
| "steps": 200, | |
| "lr": 12.5, | |
| "sigma_scale": 0.1, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "test_n": 5000 | |
| } | |
| ], | |
| "summary": [ | |
| { | |
| "sweep": "sample", | |
| "n_later": 800, | |
| "width": 1000, | |
| "after_task": 2, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "seeds": 5, | |
| "mean_train_forgetting": 6.102621555328369e-05, | |
| "mean_test_forgetting": 0.00019200146198272705, | |
| "mean_delayed_gap": 0.0067827969789505, | |
| "mean_task1_test_error": 0.0, | |
| "mean_later_cumulative_loss": 141.82634708285332 | |
| }, | |
| { | |
| "sweep": "sample", | |
| "n_later": 800, | |
| "width": 1000, | |
| "after_task": 3, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "seeds": 5, | |
| "mean_train_forgetting": -0.00014689266681671141, | |
| "mean_test_forgetting": -0.00011706948280334472, | |
| "mean_delayed_gap": 0.0066816449165344235, | |
| "mean_task1_test_error": 0.0, | |
| "mean_later_cumulative_loss": 282.31662721037867 | |
| }, | |
| { | |
| "sweep": "sample", | |
| "n_later": 2500, | |
| "width": 1000, | |
| "after_task": 2, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "seeds": 5, | |
| "mean_train_forgetting": -0.00015653669834136963, | |
| "mean_test_forgetting": 1.0517239570617675e-05, | |
| "mean_delayed_gap": 0.006818875670433044, | |
| "mean_task1_test_error": 0.0, | |
| "mean_later_cumulative_loss": 142.0373024582863 | |
| }, | |
| { | |
| "sweep": "sample", | |
| "n_later": 2500, | |
| "width": 1000, | |
| "after_task": 3, | |
| "activation": "quadratic", | |
| "loss": "hinge", | |
| "seeds": 5, | |
| "mean_train_forgetting": -6.243288516998291e-05, | |
| "mean_test_forgetting": -3.930926322937012e-06, | |
| "mean_delayed_gap": 0.006710323691368103, | |
| "mean_task1_test_error": 0.0, | |
| "mean_later_cumulative_loss": 282.3474177002907 | |
| } | |
| ], | |
| "seconds": 3.4109044075012207 | |
| } |
Xet Storage Details
- Size:
- 4.72 kB
- Xet hash:
- d9781d7301265cabd00e144abe3d182d621fcb064409a5e8a83e3d57ebe1d2be
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.