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validation.json

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+{"best_model_step": "2.70", "best_model_acc": 0.5361067503924647, "eval_results": {"0.0": {"accuracy": 0.13657770800627944}, "0.10": {"accuracy": 0.45604395604395603}, "0.20": {"accuracy": 0.5156985871271585}, "0.30": {"accuracy": 0.5290423861852434}, "0.40": {"accuracy": 0.5266875981161695}, "0.50": {"accuracy": 0.532967032967033}, "0.60": {"accuracy": 0.5259026687598116}, "0.70": {"accuracy": 0.5282574568288854}, "1.0": {"accuracy": 0.5282574568288854}, "1.10": {"accuracy": 0.5251177394034537}, "1.20": {"accuracy": 0.5298273155416012}, "1.30": {"accuracy": 0.5266875981161695}, "1.40": {"accuracy": 0.5298273155416012}, "1.50": {"accuracy": 0.5321821036106751}, "1.60": {"accuracy": 0.5321821036106751}, "1.70": {"accuracy": 0.532967032967033}, "2.0": {"accuracy": 0.5353218210361067}, "2.10": {"accuracy": 0.5353218210361067}, "2.20": {"accuracy": 0.5353218210361067}, "2.30": {"accuracy": 0.5353218210361067}, "2.40": {"accuracy": 0.532967032967033}, "2.50": {"accuracy": 0.5353218210361067}, "2.60": {"accuracy": 0.5361067503924647}, "2.70": {"accuracy": 0.5361067503924647}}}