iarcuschin
commited on
Commit
•
1858fd7
1
Parent(s):
fa91aa0
Add new models
Browse filesThis view is limited to 50 files because it contains too many changes.
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- 102/edges.pkl +3 -0
- 102/ll_model.pth +3 -0
- 102/ll_model_cfg.pkl +3 -0
- 102/meta.json +1 -0
- 104/edges.pkl +3 -0
- 104/ll_model.pth +3 -0
- 104/ll_model_cfg.pkl +3 -0
- 104/meta.json +1 -0
- 105/edges.pkl +3 -0
- 105/ll_model.pth +3 -0
- 105/ll_model_cfg.pkl +3 -0
- 105/meta.json +1 -0
- 123/edges.pkl +3 -0
- 123/ll_model.pth +3 -0
- 123/ll_model_cfg.pkl +3 -0
- 123/meta.json +1 -0
- 46/edges.pkl +3 -0
- 46/ll_model.pth +3 -0
- 46/ll_model_cfg.pkl +3 -0
- 46/meta.json +1 -0
- 50/edges.pkl +3 -0
- 50/ll_model.pth +3 -0
- 50/ll_model_cfg.pkl +3 -0
- 50/meta.json +1 -0
- 52/edges.pkl +3 -0
- 52/ll_model.pth +3 -0
- 52/ll_model_cfg.pkl +3 -0
- 52/meta.json +1 -0
- 53/edges.pkl +3 -0
- 53/ll_model.pth +3 -0
- 53/ll_model_cfg.pkl +3 -0
- 53/meta.json +1 -0
- 54/edges.pkl +3 -0
- 54/ll_model.pth +3 -0
- 54/ll_model_cfg.pkl +3 -0
- 54/meta.json +1 -0
- 55/edges.pkl +3 -0
- 55/ll_model.pth +3 -0
- 55/ll_model_cfg.pkl +3 -0
- 55/meta.json +1 -0
- 60/edges.pkl +3 -0
- 60/ll_model.pth +3 -0
- 60/ll_model_cfg.pkl +3 -0
- 60/meta.json +1 -0
- 62/edges.pkl +3 -0
- 62/ll_model.pth +3 -0
- 62/ll_model_cfg.pkl +3 -0
- 62/meta.json +1 -0
- 64/edges.pkl +3 -0
- 64/ll_model.pth +3 -0
102/edges.pkl
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102/ll_model.pth
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102/ll_model_cfg.pkl
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102/meta.json
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{"output_dir": "/circuits-benchmark/results", "atol": 0.05, "lr": 0.001, "use_single_loss": true, "iit_weight": 1.0, "behavior_weight": 0.4, "strict_weight": 0.4, "epochs": 1000, "early_stop_accuracy_threshold": 99.9, "act_fn": "gelu", "use_wandb": true, "wandb_project": "iit-train-seed-82-siit-weigth-0.4", "wandb_name": "case-102-seed-82-s-0.4-b-0.4-iit-1", "save_model_to_wandb": true, "device": "cuda", "clip_grad_norm": 0.1, "lr_scheduler": "linear", "model_pair": "strict", "same_size": false, "seed": 82, "batch_size": 256, "include_mlp": false, "detach_while_caching": true, "scheduler_val_metric": ["val/accuracy", "val/IIA", "val/strict_accuracy"], "siit_sampling": "sample_all", "val_iia_sampling": "all"}
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104/edges.pkl
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104/ll_model.pth
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104/ll_model_cfg.pkl
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104/meta.json
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{"output_dir": "/circuits-benchmark/results", "atol": 0.05, "lr": 0.001, "use_single_loss": true, "iit_weight": 1.0, "behavior_weight": 0.4, "strict_weight": 0.7, "epochs": 1000, "early_stop_accuracy_threshold": 99.9, "act_fn": "gelu", "use_wandb": true, "wandb_project": "iit-train-seed-67-siit-weigth-0.7", "wandb_name": "case-104-seed-67-s-0.7-b-0.4-iit-1", "save_model_to_wandb": true, "device": "cuda", "clip_grad_norm": 0.1, "lr_scheduler": "linear", "model_pair": "strict", "same_size": false, "seed": 67, "batch_size": 256, "include_mlp": false, "detach_while_caching": true, "scheduler_val_metric": ["val/accuracy", "val/IIA", "val/strict_accuracy"], "siit_sampling": "sample_all", "val_iia_sampling": "all"}
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105/edges.pkl
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105/ll_model.pth
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105/ll_model_cfg.pkl
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105/meta.json
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{"output_dir": "/circuits-benchmark/results", "atol": 0.05, "lr": 0.001, "use_single_loss": true, "iit_weight": 1.0, "behavior_weight": 0.4, "strict_weight": 0.7, "epochs": 1000, "early_stop_accuracy_threshold": 99.9, "act_fn": "gelu", "use_wandb": true, "wandb_project": "iit-train-seed-67-siit-weigth-0.7", "wandb_name": "case-105-seed-67-s-0.7-b-0.4-iit-1", "save_model_to_wandb": true, "device": "cuda", "clip_grad_norm": 0.1, "lr_scheduler": "linear", "model_pair": "strict", "same_size": false, "seed": 67, "batch_size": 256, "include_mlp": false, "detach_while_caching": true, "scheduler_val_metric": ["val/accuracy", "val/IIA", "val/strict_accuracy"], "siit_sampling": "sample_all", "val_iia_sampling": "all"}
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123/edges.pkl
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123/ll_model.pth
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123/meta.json
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{"output_dir": "/circuits-benchmark/results", "atol": 0.05, "lr": 0.001, "use_single_loss": true, "iit_weight": 1.0, "behavior_weight": 0.4, "strict_weight": 0.7, "epochs": 1000, "early_stop_accuracy_threshold": 99.9, "act_fn": "gelu", "use_wandb": true, "wandb_project": "iit-train-seed-67-siit-weigth-0.7", "wandb_name": "case-123-seed-67-s-0.7-b-0.4-iit-1", "save_model_to_wandb": true, "device": "cuda", "clip_grad_norm": 0.1, "lr_scheduler": "linear", "model_pair": "strict", "same_size": false, "seed": 67, "batch_size": 256, "include_mlp": false, "detach_while_caching": true, "scheduler_val_metric": ["val/accuracy", "val/IIA", "val/strict_accuracy"], "siit_sampling": "sample_all", "val_iia_sampling": "all"}
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46/edges.pkl
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46/ll_model.pth
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46/ll_model_cfg.pkl
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{"output_dir": "/circuits-benchmark/results", "atol": 0.05, "lr": 0.001, "use_single_loss": true, "iit_weight": 1.0, "behavior_weight": 0.4, "strict_weight": 0.7, "epochs": 1000, "early_stop_accuracy_threshold": 99.9, "act_fn": "gelu", "use_wandb": true, "wandb_project": "iit-train-seed-67-siit-weigth-0.7", "wandb_name": "case-46-seed-67-s-0.7-b-0.4-iit-1", "save_model_to_wandb": true, "device": "cuda", "clip_grad_norm": 0.1, "lr_scheduler": "linear", "model_pair": "strict", "same_size": false, "seed": 67, "batch_size": 256, "include_mlp": false, "detach_while_caching": true, "scheduler_val_metric": ["val/accuracy", "val/IIA", "val/strict_accuracy"], "siit_sampling": "sample_all", "val_iia_sampling": "all"}
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50/edges.pkl
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{"output_dir": "/circuits-benchmark/results", "atol": 0.05, "lr": 0.001, "use_single_loss": true, "iit_weight": 1.0, "behavior_weight": 0.4, "strict_weight": 0.7, "epochs": 1000, "early_stop_accuracy_threshold": 99.9, "act_fn": "gelu", "use_wandb": true, "wandb_project": "iit-train-seed-67-siit-weigth-0.7", "wandb_name": "case-50-seed-67-s-0.7-b-0.4-iit-1", "save_model_to_wandb": true, "device": "cuda", "clip_grad_norm": 0.1, "lr_scheduler": "linear", "model_pair": "strict", "same_size": false, "seed": 67, "batch_size": 256, "include_mlp": false, "detach_while_caching": true, "scheduler_val_metric": ["val/accuracy", "val/IIA", "val/strict_accuracy"], "siit_sampling": "sample_all", "val_iia_sampling": "all"}
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52/edges.pkl
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{"output_dir": "/circuits-benchmark/results", "atol": 0.05, "lr": 0.001, "use_single_loss": true, "iit_weight": 1.0, "behavior_weight": 0.4, "strict_weight": 0.7, "epochs": 1000, "early_stop_accuracy_threshold": 99.9, "act_fn": "gelu", "use_wandb": true, "wandb_project": "iit-train-seed-67-siit-weigth-0.7", "wandb_name": "case-52-seed-67-s-0.7-b-0.4-iit-1", "save_model_to_wandb": true, "device": "cuda", "clip_grad_norm": 0.1, "lr_scheduler": "linear", "model_pair": "strict", "same_size": false, "seed": 67, "batch_size": 256, "include_mlp": false, "detach_while_caching": true, "scheduler_val_metric": ["val/accuracy", "val/IIA", "val/strict_accuracy"], "siit_sampling": "sample_all", "val_iia_sampling": "all"}
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53/edges.pkl
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{"output_dir": "/circuits-benchmark/results", "atol": 0.05, "lr": 0.001, "use_single_loss": true, "iit_weight": 1.0, "behavior_weight": 0.4, "strict_weight": 0.7, "epochs": 1000, "early_stop_accuracy_threshold": 99.9, "act_fn": "gelu", "use_wandb": true, "wandb_project": "iit-train-seed-67-siit-weigth-0.7", "wandb_name": "case-53-seed-67-s-0.7-b-0.4-iit-1", "save_model_to_wandb": true, "device": "cuda", "clip_grad_norm": 0.1, "lr_scheduler": "linear", "model_pair": "strict", "same_size": false, "seed": 67, "batch_size": 256, "include_mlp": false, "detach_while_caching": true, "scheduler_val_metric": ["val/accuracy", "val/IIA", "val/strict_accuracy"], "siit_sampling": "sample_all", "val_iia_sampling": "all"}
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{"output_dir": "/circuits-benchmark/results", "atol": 0.05, "lr": 0.001, "use_single_loss": true, "iit_weight": 1.0, "behavior_weight": 0.4, "strict_weight": 0.7, "epochs": 1000, "early_stop_accuracy_threshold": 99.9, "act_fn": "gelu", "use_wandb": true, "wandb_project": "iit-train-seed-67-siit-weigth-0.7", "wandb_name": "case-54-seed-67-s-0.7-b-0.4-iit-1", "save_model_to_wandb": true, "device": "cuda", "clip_grad_norm": 0.1, "lr_scheduler": "linear", "model_pair": "strict", "same_size": false, "seed": 67, "batch_size": 256, "include_mlp": false, "detach_while_caching": true, "scheduler_val_metric": ["val/accuracy", "val/IIA", "val/strict_accuracy"], "siit_sampling": "sample_all", "val_iia_sampling": "all"}
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55/ll_model_cfg.pkl
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55/meta.json
ADDED
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{"output_dir": "/circuits-benchmark/results", "atol": 0.05, "lr": 0.001, "use_single_loss": true, "iit_weight": 1.0, "behavior_weight": 0.4, "strict_weight": 0.7, "epochs": 1000, "early_stop_accuracy_threshold": 99.9, "act_fn": "gelu", "use_wandb": true, "wandb_project": "iit-train-seed-67-siit-weigth-0.7", "wandb_name": "case-55-seed-67-s-0.7-b-0.4-iit-1", "save_model_to_wandb": true, "device": "cuda", "clip_grad_norm": 0.1, "lr_scheduler": "linear", "model_pair": "strict", "same_size": false, "seed": 67, "batch_size": 256, "include_mlp": false, "detach_while_caching": true, "scheduler_val_metric": ["val/accuracy", "val/IIA", "val/strict_accuracy"], "siit_sampling": "sample_all", "val_iia_sampling": "all"}
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60/edges.pkl
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60/ll_model.pth
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60/ll_model_cfg.pkl
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60/meta.json
ADDED
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{"output_dir": "/circuits-benchmark/results", "atol": 0.05, "lr": 0.001, "use_single_loss": true, "iit_weight": 1.0, "behavior_weight": 0.4, "strict_weight": 0.7, "epochs": 1000, "early_stop_accuracy_threshold": 99.9, "act_fn": "gelu", "use_wandb": true, "wandb_project": "iit-train-seed-67-siit-weigth-0.7", "wandb_name": "case-60-seed-67-s-0.7-b-0.4-iit-1", "save_model_to_wandb": true, "device": "cuda", "clip_grad_norm": 0.1, "lr_scheduler": "linear", "model_pair": "strict", "same_size": false, "seed": 67, "batch_size": 256, "include_mlp": false, "detach_while_caching": true, "scheduler_val_metric": ["val/accuracy", "val/IIA", "val/strict_accuracy"], "siit_sampling": "sample_all", "val_iia_sampling": "all"}
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62/edges.pkl
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62/ll_model.pth
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62/ll_model_cfg.pkl
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62/meta.json
ADDED
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{"output_dir": "/circuits-benchmark/results", "atol": 0.05, "lr": 0.001, "use_single_loss": true, "iit_weight": 1.0, "behavior_weight": 0.4, "strict_weight": 0.7, "epochs": 1000, "early_stop_accuracy_threshold": 99.9, "act_fn": "gelu", "use_wandb": true, "wandb_project": "iit-train-seed-67-siit-weigth-0.7", "wandb_name": "case-62-seed-67-s-0.7-b-0.4-iit-1", "save_model_to_wandb": true, "device": "cuda", "clip_grad_norm": 0.1, "lr_scheduler": "linear", "model_pair": "strict", "same_size": false, "seed": 67, "batch_size": 256, "include_mlp": false, "detach_while_caching": true, "scheduler_val_metric": ["val/accuracy", "val/IIA", "val/strict_accuracy"], "siit_sampling": "sample_all", "val_iia_sampling": "all"}
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64/edges.pkl
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64/ll_model.pth
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