Upload validation.json with huggingface_hub

validation.json

@@ -1 +1 @@
-{"best_model_step": "6.15", "best_model_acc": 0.5264900662251656, "eval_results": {"0.0": {"accuracy": 0.4966887417218543}, "0.5": {"accuracy": 0.5033112582781457}, "0.10": {"accuracy": 0.45364238410596025}, "0.15": {"accuracy": 0.4966887417218543}, "1.0": {"accuracy": 0.5066225165562914}, "1.5": {"accuracy": 0.5033112582781457}, "1.10": {"accuracy": 0.5033112582781457}, "1.15": {"accuracy": 0.49337748344370863}, "2.0": {"accuracy": 0.5198675496688742}, "2.5": {"accuracy": 0.49337748344370863}, "2.10": {"accuracy": 0.5033112582781457}, "2.15": {"accuracy": 0.5033112582781457}, "3.0": {"accuracy": 0.5066225165562914}, "3.5": {"accuracy": 0.4900662251655629}, "3.10": {"accuracy": 0.5}, "3.15": {"accuracy": 0.5033112582781457}, "4.0": {"accuracy": 0.5033112582781457}, "4.5": {"accuracy": 0.5033112582781457}, "4.10": {"accuracy": 0.5231788079470199}, "4.15": {"accuracy": 0.5099337748344371}, "5.0": {"accuracy": 0.5}, "5.5": {"accuracy": 0.5033112582781457}, "5.10": {"accuracy": 0.5033112582781457}, "5.15": {"accuracy": 0.5033112582781457}, "6.0": {"accuracy": 0.5033112582781457}, "6.5": {"accuracy": 0.5033112582781457}, "6.10": {"accuracy": 0.5033112582781457}, "6.15": {"accuracy": 0.5264900662251656}, "7.0": {"accuracy": 0.5198675496688742}, "7.5": {"accuracy": 0.5}, "7.10": {"accuracy": 0.5231788079470199}, "7.15": {"accuracy": 0.5198675496688742}, "8.0": {"accuracy": 0.5033112582781457}, "8.5": {"accuracy": 0.5033112582781457}, "8.10": {"accuracy": 0.5033112582781457}, "8.15": {"accuracy": 0.5033112582781457}, "9.0": {"accuracy": 0.5033112582781457}, "9.5": {"accuracy": 0.5033112582781457}, "9.10": {"accuracy": 0.5033112582781457}, "9.15": {"accuracy": 0.5}}}
+{"best_model_step": "1.5", "best_model_acc": 0.5364238410596026, "eval_results": {"0.0": {"accuracy": 0.5165562913907285}, "0.5": {"accuracy": 0.4966887417218543}, "0.10": {"accuracy": 0.4867549668874172}, "0.15": {"accuracy": 0.5165562913907285}, "1.0": {"accuracy": 0.5165562913907285}, "1.5": {"accuracy": 0.5364238410596026}, "1.10": {"accuracy": 0.4966887417218543}, "1.15": {"accuracy": 0.5264900662251656}, "2.0": {"accuracy": 0.5264900662251656}, "2.5": {"accuracy": 0.5132450331125827}, "2.10": {"accuracy": 0.47019867549668876}, "2.15": {"accuracy": 0.5066225165562914}, "3.0": {"accuracy": 0.5165562913907285}, "3.5": {"accuracy": 0.5165562913907285}, "3.10": {"accuracy": 0.5165562913907285}, "3.15": {"accuracy": 0.5132450331125827}, "4.0": {"accuracy": 0.49337748344370863}, "4.5": {"accuracy": 0.5}, "4.10": {"accuracy": 0.5165562913907285}, "4.15": {"accuracy": 0.5165562913907285}, "5.0": {"accuracy": 0.5165562913907285}, "5.5": {"accuracy": 0.5066225165562914}, "5.10": {"accuracy": 0.49337748344370863}, "5.15": {"accuracy": 0.5165562913907285}, "6.0": {"accuracy": 0.5165562913907285}, "6.5": {"accuracy": 0.5165562913907285}, "6.10": {"accuracy": 0.5165562913907285}, "6.15": {"accuracy": 0.5165562913907285}, "7.0": {"accuracy": 0.45695364238410596}, "7.5": {"accuracy": 0.48344370860927155}, "7.10": {"accuracy": 0.4735099337748344}, "7.15": {"accuracy": 0.48013245033112584}, "8.0": {"accuracy": 0.5198675496688742}, "8.5": {"accuracy": 0.5165562913907285}, "8.10": {"accuracy": 0.5165562913907285}, "8.15": {"accuracy": 0.5165562913907285}, "9.0": {"accuracy": 0.5165562913907285}, "9.5": {"accuracy": 0.5165562913907285}, "9.10": {"accuracy": 0.5165562913907285}, "9.15": {"accuracy": 0.5165562913907285}}}