Upload validation.json with huggingface_hub

validation.json

@@ -1 +1 @@
-{"best_model_step": "2.10", "best_model_acc": 0.6324503311258278, "eval_results": {"0.0": {"accuracy": 0.5629139072847682}, "0.10": {"accuracy": 0.5198675496688742}, "1.0": {"accuracy": 0.5629139072847682}, "1.10": {"accuracy": 0.5662251655629139}, "2.0": {"accuracy": 0.5794701986754967}, "2.10": {"accuracy": 0.6324503311258278}}}
+{"best_model_step": "1.145", "best_model_acc": 0.7615894039735099, "eval_results": {"0.0": {"accuracy": 0.4470198675496689}, "0.5": {"accuracy": 0.5629139072847682}, "0.10": {"accuracy": 0.5596026490066225}, "0.15": {"accuracy": 0.5198675496688742}, "0.20": {"accuracy": 0.5496688741721855}, "0.25": {"accuracy": 0.5596026490066225}, "0.30": {"accuracy": 0.5629139072847682}, "0.35": {"accuracy": 0.5629139072847682}, "0.40": {"accuracy": 0.5629139072847682}, "0.45": {"accuracy": 0.5629139072847682}, "0.50": {"accuracy": 0.5629139072847682}, "0.55": {"accuracy": 0.5629139072847682}, "0.60": {"accuracy": 0.5629139072847682}, "0.65": {"accuracy": 0.5629139072847682}, "0.70": {"accuracy": 0.5629139072847682}, "0.75": {"accuracy": 0.5662251655629139}, "0.80": {"accuracy": 0.5629139072847682}, "0.85": {"accuracy": 0.4370860927152318}, "0.90": {"accuracy": 0.4370860927152318}, "0.95": {"accuracy": 0.4370860927152318}, "0.100": {"accuracy": 0.5529801324503312}, "0.105": {"accuracy": 0.5629139072847682}, "0.110": {"accuracy": 0.5629139072847682}, "0.115": {"accuracy": 0.5629139072847682}, "0.120": {"accuracy": 0.5629139072847682}, "0.125": {"accuracy": 0.5629139072847682}, "0.130": {"accuracy": 0.5629139072847682}, "0.135": {"accuracy": 0.5629139072847682}, "0.140": {"accuracy": 0.5629139072847682}, "0.145": {"accuracy": 0.5629139072847682}, "0.150": {"accuracy": 0.4370860927152318}, "1.0": {"accuracy": 0.4370860927152318}, "1.5": {"accuracy": 0.48013245033112584}, "1.10": {"accuracy": 0.5629139072847682}, "1.15": {"accuracy": 0.5629139072847682}, "1.20": {"accuracy": 0.5562913907284768}, "1.25": {"accuracy": 0.5562913907284768}, "1.30": {"accuracy": 0.5562913907284768}, "1.35": {"accuracy": 0.5596026490066225}, "1.40": {"accuracy": 0.5596026490066225}, "1.45": {"accuracy": 0.6258278145695364}, "1.50": {"accuracy": 0.6258278145695364}, "1.55": {"accuracy": 0.6225165562913907}, "1.60": {"accuracy": 0.6721854304635762}, "1.65": {"accuracy": 0.6754966887417219}, "1.70": {"accuracy": 0.6423841059602649}, "1.75": {"accuracy": 0.6192052980132451}, "1.80": {"accuracy": 0.6589403973509934}, "1.85": {"accuracy": 0.6357615894039735}, "1.90": {"accuracy": 0.6721854304635762}, "1.95": {"accuracy": 0.6490066225165563}, "1.100": {"accuracy": 0.6754966887417219}, "1.105": {"accuracy": 0.7152317880794702}, "1.110": {"accuracy": 0.7185430463576159}, "1.115": {"accuracy": 0.6688741721854304}, "1.120": {"accuracy": 0.6589403973509934}, "1.125": {"accuracy": 0.695364238410596}, "1.130": {"accuracy": 0.7317880794701986}, "1.135": {"accuracy": 0.7483443708609272}, "1.140": {"accuracy": 0.7483443708609272}, "1.145": {"accuracy": 0.7615894039735099}, "1.150": {"accuracy": 0.7384105960264901}, "2.0": {"accuracy": 0.7284768211920529}, "2.5": {"accuracy": 0.7052980132450332}, "2.10": {"accuracy": 0.7417218543046358}, "2.15": {"accuracy": 0.7384105960264901}, "2.20": {"accuracy": 0.7450331125827815}, "2.25": {"accuracy": 0.7284768211920529}, "2.30": {"accuracy": 0.7417218543046358}, "2.35": {"accuracy": 0.7350993377483444}, "2.40": {"accuracy": 0.6821192052980133}, "2.45": {"accuracy": 0.6854304635761589}, "2.50": {"accuracy": 0.7350993377483444}, "2.55": {"accuracy": 0.7450331125827815}, "2.60": {"accuracy": 0.7516556291390728}, "2.65": {"accuracy": 0.7384105960264901}, "2.70": {"accuracy": 0.7549668874172185}, "2.75": {"accuracy": 0.7516556291390728}, "2.80": {"accuracy": 0.7450331125827815}, "2.85": {"accuracy": 0.7516556291390728}, "2.90": {"accuracy": 0.7549668874172185}, "2.95": {"accuracy": 0.7417218543046358}, "2.100": {"accuracy": 0.7483443708609272}, "2.105": {"accuracy": 0.7417218543046358}, "2.110": {"accuracy": 0.7483443708609272}, "2.115": {"accuracy": 0.7417218543046358}, "2.120": {"accuracy": 0.7516556291390728}, "2.125": {"accuracy": 0.7483443708609272}, "2.130": {"accuracy": 0.7384105960264901}, "2.135": {"accuracy": 0.7417218543046358}, "2.140": {"accuracy": 0.7417218543046358}, "2.145": {"accuracy": 0.7483443708609272}, "2.150": {"accuracy": 0.7483443708609272}}}