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validation.json

@@ -1 +1 @@
-{"best_model_step": "2.0", "best_model_acc": 0.5364705882352941, "eval_results": {"0.0": {"accuracy": 0.5352941176470588}, "0.10": {"accuracy": 0.5294117647058824}, "0.20": {"accuracy": 0.5317647058823529}, "0.30": {"accuracy": 0.528235294117647}, "0.40": {"accuracy": 0.5305882352941177}, "0.50": {"accuracy": 0.528235294117647}, "1.0": {"accuracy": 0.5329411764705883}, "1.10": {"accuracy": 0.5317647058823529}, "1.20": {"accuracy": 0.5294117647058824}, "1.30": {"accuracy": 0.5270588235294118}, "1.40": {"accuracy": 0.5235294117647059}, "1.50": {"accuracy": 0.5352941176470588}, "2.0": {"accuracy": 0.5364705882352941}, "2.10": {"accuracy": 0.5305882352941177}, "2.20": {"accuracy": 0.5305882352941177}, "2.30": {"accuracy": 0.5329411764705883}, "2.40": {"accuracy": 0.5329411764705883}, "2.50": {"accuracy": 0.5329411764705883}}}
+{"best_model_step": "2.10", "best_model_acc": 0.5517647058823529, "eval_results": {"0.0": {"accuracy": 0.44588235294117645}, "0.10": {"accuracy": 0.52}, "0.20": {"accuracy": 0.5423529411764706}, "0.30": {"accuracy": 0.548235294117647}, "0.40": {"accuracy": 0.5517647058823529}, "0.50": {"accuracy": 0.5376470588235294}, "1.0": {"accuracy": 0.5364705882352941}, "1.10": {"accuracy": 0.5517647058823529}, "1.20": {"accuracy": 0.5423529411764706}, "1.30": {"accuracy": 0.5364705882352941}, "1.40": {"accuracy": 0.5435294117647059}, "1.50": {"accuracy": 0.5494117647058824}, "2.0": {"accuracy": 0.5505882352941176}, "2.10": {"accuracy": 0.5517647058823529}, "2.20": {"accuracy": 0.5423529411764706}, "2.30": {"accuracy": 0.54}, "2.40": {"accuracy": 0.5388235294117647}, "2.50": {"accuracy": 0.54}}}