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validation.json

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+{"best_model_step": "5.0", "best_model_acc": 0.749607535321821, "eval_results": {"0.0": {"accuracy": 0.5227629513343799}, "0.10": {"accuracy": 0.5824175824175825}, "0.20": {"accuracy": 0.6287284144427001}, "0.30": {"accuracy": 0.640502354788069}, "0.40": {"accuracy": 0.6836734693877551}, "1.0": {"accuracy": 0.6978021978021978}, "1.10": {"accuracy": 0.7119309262166404}, "1.20": {"accuracy": 0.7205651491365777}, "1.30": {"accuracy": 0.7339089481946625}, "1.40": {"accuracy": 0.7229199372056515}, "2.0": {"accuracy": 0.7291993720565149}, "2.10": {"accuracy": 0.7378335949764521}, "2.20": {"accuracy": 0.7362637362637363}, "2.30": {"accuracy": 0.749607535321821}, "2.40": {"accuracy": 0.728414442700157}, "3.0": {"accuracy": 0.7433281004709577}, "3.10": {"accuracy": 0.7472527472527473}, "3.20": {"accuracy": 0.7456828885400314}, "3.30": {"accuracy": 0.7472527472527473}, "3.40": {"accuracy": 0.7307692307692307}, "4.0": {"accuracy": 0.7378335949764521}, "4.10": {"accuracy": 0.7409733124018838}, "4.20": {"accuracy": 0.7425431711145997}, "4.30": {"accuracy": 0.749607535321821}, "4.40": {"accuracy": 0.7480376766091051}, "5.0": {"accuracy": 0.749607535321821}, "5.10": {"accuracy": 0.7448979591836735}, "5.20": {"accuracy": 0.7433281004709577}, "5.30": {"accuracy": 0.7425431711145997}, "5.40": {"accuracy": 0.7433281004709577}}}