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Serow),0.669172932,0.89,0.763948498,100,0.89 +Class 09 (Formosan Sika Deer),0,0,0,100,0 +Class 10 (Formosan Wild Boar),0.841584158,0.85,0.845771144,100,0.85 +Class 11 (Formosan Yellow-throated Marten),0.95,0.95,0.95,100,0.95 +Class 12 (Mouse),0.875,0.98,0.924528302,100,0.98 +Class 13 (Reeves's Muntjac),0.635135135,0.94,0.758064516,100,0.94 +Class 14 (Squirrel),0.824175824,0.75,0.785340314,100,0.75 +Class 15 (Swinhoe's Pheasant),0.96039604,0.97,0.965174129,100,0.97 +Class 16 (Taiwan Partridge),0.90625,0.87,0.887755102,100,0.87 +Class 17 (Urva),0.825688073,0.9,0.861244019,100,0.9 +Macro Avg,0.78931705,0.822777778,0.805700158,1800, +Weighted Avg,0.78931705,0.822777778,0.805700158,1800, +Overall Accuracy,,,,1800,0.822777778 diff --git a/Swin Transformer/FineTune(Cross Entropy)/result/training_metrics_set1.csv b/Swin Transformer/FineTune(Cross Entropy)/result/training_metrics_set1.csv new file mode 100644 index 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(Dog),0.728070175,0.83,0.775700935,100,0.83 +Class 03 (Emerald Dove),0.935483871,0.87,0.901554404,100,0.87 +Class 04 (Formosan Gem-faced Civet),0.826530612,0.81,0.818181818,100,0.81 +Class 05 (Formosan Ferret-badger),0.776699029,0.8,0.78817734,100,0.8 +Class 06 (Formosan Macaque),0.747368421,0.71,0.728205128,100,0.71 +Class 07 (Formosan Sambar Deer),0.872340426,0.82,0.845360825,100,0.82 +Class 08 (Formosan Serow),0.65,0.78,0.709090909,100,0.78 +Class 09 (Formosan Sika Deer),1,0.96,0.979591837,100,0.96 +Class 10 (Formosan Wild Boar),0.62601626,0.77,0.69058296,100,0.77 +Class 11 (Formosan Yellow-throated Marten),0.886597938,0.86,0.873096447,100,0.86 +Class 12 (Mouse),0.775700935,0.83,0.801932367,100,0.83 +Class 13 (Reeves's Muntjac),0.831168831,0.64,0.723163842,100,0.64 +Class 14 (Squirrel),0.663636364,0.73,0.695238095,100,0.73 +Class 15 (Swinhoe's Pheasant),0.91011236,0.81,0.857142857,100,0.81 +Class 16 (Taiwan Partridge),0.791208791,0.72,0.753926702,100,0.72 +Class 17 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