Download 113/meta.json from cybershiptrooper/InterpBench: direct link, hf CLI and curl.
- Browser
- Download file 693 Bytes
-
https://huggingface.co/cybershiptrooper/InterpBench/resolve/main/113/meta.json
- Command line
-
hf download hf://cybershiptrooper/InterpBench/113/meta.json
-
curl -L -o meta.json https://huggingface.co/cybershiptrooper/InterpBench/resolve/main/113/meta.json
693 Bytes
| {"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", "wandb_name": "case-113-seed-67-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": 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"} |