Download reports/upstream-metrics.json from FluidInference/cua-s1-forms-coreml: direct link, hf CLI and curl.
- Browser
- Download file 3.42 kB
-
https://huggingface.co/FluidInference/cua-s1-forms-coreml/resolve/c87b915d302bdbff644709408d8fbd8c8effe894/reports/upstream-metrics.json
- Command line
-
hf download hf://FluidInference/cua-s1-forms-coreml@c87b915d302bdbff644709408d8fbd8c8effe894/reports/upstream-metrics.json
-
curl -L -o upstream-metrics.json https://huggingface.co/FluidInference/cua-s1-forms-coreml/resolve/c87b915d302bdbff644709408d8fbd8c8effe894/reports/upstream-metrics.json
3.42 kB
| { | |
| "verification_report_sha256": "9a5d22ec4b447f0710c12e03c69d7ed802158bb94e9a3c6b059731730ced9f30", | |
| "evaluator_source_revision": "83f142c4290a0f7d9ed545ae8532858c6e4f8145", | |
| "evaluator_source_path": "libs/cua-s1/evals/metrics.py", | |
| "evaluator_sha256": "49dccdeb4e2b456187cdc4491a6d78fabac6a45384272f8e3ec802a58872aa6e", | |
| "adapter_sha256": "c78e45caa86fb59f9a56ef18cc6a35020ea6e281a6a23d23618f56da85a0d95e", | |
| "scope": "Offline action/target classification, not GUI execution or task completion", | |
| "normalization": "Stable row IDs; fill target is entity option index; upstream treats skip as abstention", | |
| "results": { | |
| "ALL": { | |
| "examples": 196, | |
| "accuracy": 1.0, | |
| "coverage": 0.23469387755102042, | |
| "abstention_rate": 0.7653061224489796, | |
| "selective_accuracy": 1.0, | |
| "wrong_action_rate": 0.0, | |
| "wrong_target_rate": 0.0, | |
| "unsafe_action_rate": 0.0, | |
| "counts": { | |
| "total": 196, | |
| "correct": 196, | |
| "abstained": 150, | |
| "acted": 46, | |
| "acted_correct": 46 | |
| }, | |
| "per_action": { | |
| "abstain": { | |
| "accuracy": 1.0, | |
| "abstention_rate": 1.0, | |
| "examples": 150 | |
| }, | |
| "check": { | |
| "accuracy": 1.0, | |
| "abstention_rate": 0.0, | |
| "examples": 4 | |
| }, | |
| "click": { | |
| "accuracy": 1.0, | |
| "abstention_rate": 0.0, | |
| "examples": 6 | |
| }, | |
| "fill": { | |
| "accuracy": 1.0, | |
| "abstention_rate": 0.0, | |
| "examples": 36 | |
| } | |
| } | |
| }, | |
| "CPU_AND_NE": { | |
| "examples": 196, | |
| "accuracy": 1.0, | |
| "coverage": 0.23469387755102042, | |
| "abstention_rate": 0.7653061224489796, | |
| "selective_accuracy": 1.0, | |
| "wrong_action_rate": 0.0, | |
| "wrong_target_rate": 0.0, | |
| "unsafe_action_rate": 0.0, | |
| "counts": { | |
| "total": 196, | |
| "correct": 196, | |
| "abstained": 150, | |
| "acted": 46, | |
| "acted_correct": 46 | |
| }, | |
| "per_action": { | |
| "abstain": { | |
| "accuracy": 1.0, | |
| "abstention_rate": 1.0, | |
| "examples": 150 | |
| }, | |
| "check": { | |
| "accuracy": 1.0, | |
| "abstention_rate": 0.0, | |
| "examples": 4 | |
| }, | |
| "click": { | |
| "accuracy": 1.0, | |
| "abstention_rate": 0.0, | |
| "examples": 6 | |
| }, | |
| "fill": { | |
| "accuracy": 1.0, | |
| "abstention_rate": 0.0, | |
| "examples": 36 | |
| } | |
| } | |
| }, | |
| "upstream_pytorch": { | |
| "examples": 196, | |
| "accuracy": 1.0, | |
| "coverage": 0.23469387755102042, | |
| "abstention_rate": 0.7653061224489796, | |
| "selective_accuracy": 1.0, | |
| "wrong_action_rate": 0.0, | |
| "wrong_target_rate": 0.0, | |
| "unsafe_action_rate": 0.0, | |
| "counts": { | |
| "total": 196, | |
| "correct": 196, | |
| "abstained": 150, | |
| "acted": 46, | |
| "acted_correct": 46 | |
| }, | |
| "per_action": { | |
| "abstain": { | |
| "accuracy": 1.0, | |
| "abstention_rate": 1.0, | |
| "examples": 150 | |
| }, | |
| "check": { | |
| "accuracy": 1.0, | |
| "abstention_rate": 0.0, | |
| "examples": 4 | |
| }, | |
| "click": { | |
| "accuracy": 1.0, | |
| "abstention_rate": 0.0, | |
| "examples": 6 | |
| }, | |
| "fill": { | |
| "accuracy": 1.0, | |
| "abstention_rate": 0.0, | |
| "examples": 36 | |
| } | |
| } | |
| } | |
| } | |
| } | |