Update sotabench with EffNet Lite models

sotabench.py

@@ -191,12 +191,25 @@ model_list = [
            model_desc='Ported from official Google AI Tensorflow weights'),
     _entry('tf_efficientnet_cc_b1_8e', 'EfficientNet-CondConv-B1 8 experts', '1904.04971',
            model_desc='Ported from official Google AI Tensorflow weights'),
+
     _entry('tf_efficientnet_es', 'EfficientNet-EdgeTPU-S', '1905.11946',
            model_desc='Ported from official Google AI Tensorflow weights'),
     _entry('tf_efficientnet_em', 'EfficientNet-EdgeTPU-M', '1905.11946',
            model_desc='Ported from official Google AI Tensorflow weights'),
     _entry('tf_efficientnet_el', 'EfficientNet-EdgeTPU-L', '1905.11946', batch_size=BATCH_SIZE//2,
            model_desc='Ported from official Google AI Tensorflow weights'),
+
+    _entry('tf_efficientnet_lite0', 'EfficientNet-Lite0', '1905.11946',
+           model_desc='Ported from official Google AI Tensorflow weights'),
+    _entry('tf_efficientnet_lite1', 'EfficientNet-Lite1', '1905.11946',
+           model_desc='Ported from official Google AI Tensorflow weights'),
+    _entry('tf_efficientnet_lite2', 'EfficientNet-Lite2', '1905.11946',
+           model_desc='Ported from official Google AI Tensorflow weights'),
+    _entry('tf_efficientnet_lite3', 'EfficientNet-Lite3', '1905.11946', batch_size=BATCH_SIZE // 2,
+           model_desc='Ported from official Google AI Tensorflow weights'),
+    _entry('tf_efficientnet_lite4', 'EfficientNet-Lite4', '1905.11946', batch_size=BATCH_SIZE // 2,
+           model_desc='Ported from official Google AI Tensorflow weights'),
+
     _entry('tf_inception_v3', 'Inception V3', '1512.00567', model_desc='Ported from official Tensorflow weights'),
     _entry('tf_mixnet_l', 'MixNet-L', '1907.09595', model_desc='Ported from official Google AI Tensorflow weights'),
     _entry('tf_mixnet_m', 'MixNet-M', '1907.09595', model_desc='Ported from official Google AI Tensorflow weights'),