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validation.json

@@ -1 +1 @@
-{"best_model_step": "1.40", "best_model_acc": 0.7517647058823529, "eval_results": {"0.0": {"accuracy": 0.5317647058823529}, "0.10": {"accuracy": 0.58}, "0.20": {"accuracy": 0.6376470588235295}, "0.30": {"accuracy": 0.68}, "0.40": {"accuracy": 0.6729411764705883}, "0.50": {"accuracy": 0.7035294117647058}, "1.0": {"accuracy": 0.7047058823529412}, "1.10": {"accuracy": 0.7011764705882353}, "1.20": {"accuracy": 0.731764705882353}, "1.30": {"accuracy": 0.7494117647058823}, "1.40": {"accuracy": 0.7517647058823529}, "1.50": {"accuracy": 0.74}, "2.0": {"accuracy": 0.7470588235294118}, "2.10": {"accuracy": 0.7423529411764705}, "2.20": {"accuracy": 0.7458823529411764}, "2.30": {"accuracy": 0.7447058823529412}, "2.40": {"accuracy": 0.7494117647058823}, "2.50": {"accuracy": 0.7458823529411764}}}
+{"best_model_step": "2.30", "best_model_acc": 0.768235294117647, "eval_results": {"0.0": {"accuracy": 0.5223529411764706}, "0.10": {"accuracy": 0.5058823529411764}, "0.20": {"accuracy": 0.6223529411764706}, "0.30": {"accuracy": 0.6505882352941177}, "0.40": {"accuracy": 0.6823529411764706}, "0.50": {"accuracy": 0.6988235294117647}, "1.0": {"accuracy": 0.7164705882352941}, "1.10": {"accuracy": 0.7094117647058824}, "1.20": {"accuracy": 0.7329411764705882}, "1.30": {"accuracy": 0.7411764705882353}, "1.40": {"accuracy": 0.7388235294117647}, "1.50": {"accuracy": 0.7529411764705882}, "2.0": {"accuracy": 0.7494117647058823}, "2.10": {"accuracy": 0.7517647058823529}, "2.20": {"accuracy": 0.7576470588235295}, "2.30": {"accuracy": 0.768235294117647}, "2.40": {"accuracy": 0.7658823529411765}, "2.50": {"accuracy": 0.7658823529411765}}}