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imagewidth (px)
32
32
target
class label
10 classes
evaluation_predictions
sequencelengths
10
10
9truck
[ -1.12890625, 0.45947265625, -1.591796875, -1.36328125, -1.7509765625, -1.24609375, -1.8291015625, -0.978515625, -0.630859375, 9.2109375 ]
4deer
[ -1.3193359375, -2.232421875, -0.54736328125, -0.04315185546875, 8.125, 0.611328125, -1.2890625, -0.134765625, -0.61181640625, -1.3388671875 ]
8ship
[ 1.4921875, -1.80078125, -1.751953125, -1.4853515625, -0.495361328125, -2.38671875, -1.54296875, -1.2236328125, 9.8359375, -1.7802734375 ]
1automobile
[ -0.02655029296875, 9.515625, -0.399169921875, -1.087890625, -1.7861328125, -2.08203125, -1.5341796875, -0.732421875, -0.55029296875, -0.25830078125 ]
7horse
[ 0.057861328125, -1.3623046875, -0.4638671875, -0.75927734375, 0.77490234375, 0.2099609375, -1.4970703125, 8.484375, -1.7978515625, -1.2001953125 ]
2bird
[ -1.0224609375, -1.4541015625, 9.7578125, -0.748046875, -0.93701171875, -1.3798828125, -0.6005859375, -1.67578125, -2.009765625, -1.818359375 ]
2bird
[ -0.260498046875, -1.162109375, 7.9453125, -0.386962890625, -0.318603515625, -1.9501953125, -0.65673828125, -2.791015625, -1.009765625, -1.41796875 ]
0airplane
[ 8.1015625, -1.83203125, -0.5087890625, -0.343505859375, -1.740234375, -1.1826171875, -1.41015625, -0.96484375, -1.416015625, -0.82373046875 ]
4deer
[ -1.54296875, -2.16015625, -0.58251953125, -0.410400390625, 6.6484375, 0.0102996826171875, -2, 2.6484375, -1.6220703125, -0.7900390625 ]
7horse
[ -0.7763671875, -1.1630859375, -0.23486328125, -0.5849609375, 0.0258331298828125, -0.0221710205078125, -1.2490234375, 9.5859375, -1.701171875, -1.1376953125 ]
1automobile
[ -0.8076171875, 9.6796875, -0.44580078125, -1.693359375, -1.6650390625, -1.6376953125, -1.1171875, -1.095703125, -0.456298828125, -0.55517578125 ]
0airplane
[ 7.2265625, -0.740234375, -0.5537109375, -1.3876953125, -1.009765625, -0.439697265625, -2.26953125, -0.0386962890625, 0.21728515625, -1.0087890625 ]
7horse
[ -0.55712890625, -1.4921875, -0.61474609375, -0.2724609375, -0.5380859375, 0.26171875, -0.52197265625, 8.5234375, -1.2802734375, -1.2919921875 ]
5dog
[ -0.99072265625, -2.796875, -0.5498046875, 0.91943359375, -0.78271484375, 9.5234375, -1.3779296875, -0.85888671875, -0.90625, -1.19140625 ]
2bird
[ -1.3046875, -2.234375, 8.5, -1.5830078125, -1.013671875, -1.349609375, -0.40185546875, -1.7802734375, -1.072265625, -1.7451171875 ]
0airplane
[ 8.6484375, 0.090576171875, -1.234375, -1.19140625, -1.1806640625, -1.8974609375, -1.58203125, -0.953125, 0.1754150390625, -0.2384033203125 ]
7horse
[ -0.75439453125, -1.1416015625, 0.0377197265625, -0.68115234375, 0.1968994140625, 0.05767822265625, -2.125, 9.0625, -2.119140625, -0.72705078125 ]
3cat
[ -1.90625, -0.7294921875, -0.461669921875, 8.890625, -0.183349609375, 0.330810546875, 0.4052734375, -1.2568359375, -1.1923828125, -0.53173828125 ]
1automobile
[ -0.48291015625, 9.2109375, -0.48583984375, -1.3779296875, -2.16796875, -1.1748046875, -0.869140625, -1.3916015625, -1.197265625, -0.333740234375 ]
2bird
[ -1.244140625, -1.373046875, 8.8046875, -0.53369140625, -0.4609375, -0.96337890625, -1.228515625, -1.7724609375, -1.173828125, -2.11328125 ]
4deer
[ -0.63720703125, -1.4716796875, -0.0092010498046875, 0.06390380859375, 7.9375, -0.99853515625, -1.125, -1.392578125, -0.252685546875, -1.142578125 ]
8ship
[ 1.13671875, -1.29296875, -2.138671875, -0.7490234375, -0.90673828125, -1.5390625, -1.3603515625, -1.818359375, 9, -1.1806640625 ]
7horse
[ -1.24609375, -1.2255859375, -0.373779296875, -0.74169921875, 0.85302734375, -0.89404296875, -1.671875, 9.0390625, -1.2724609375, -0.7255859375 ]
3cat
[ -1.9091796875, -1.083984375, -0.94580078125, 8.3515625, -0.480712890625, 1.744140625, -0.4931640625, -1.16015625, -0.97265625, -1.59765625 ]
5dog
[ -1.740234375, -2.416015625, -0.78466796875, 3.400390625, -1.7099609375, 7.8125, -1.583984375, -0.33251953125, -1.3662109375, -1.46875 ]
1automobile
[ -0.82763671875, 9.3046875, -0.96630859375, -1.470703125, -2.068359375, -1.517578125, -0.85546875, -1.1962890625, -1.3876953125, -0.049072265625 ]
3cat
[ -1.9306640625, -1.3037109375, 0.04449462890625, 8.3671875, -1.2646484375, 1.4189453125, -0.424072265625, -1.228515625, -1.677734375, -1.6865234375 ]
4deer
[ -0.216796875, -1.39453125, -0.7509765625, -0.48486328125, 9.203125, -0.859375, -1.423828125, -0.748046875, -0.45166015625, -1.3935546875 ]
8ship
[ 1.7724609375, -1.5498046875, -2.322265625, -1.392578125, -0.329833984375, -2.34765625, -1.9541015625, -1.44921875, 9.5, -1.125 ]
3cat
[ -1.5498046875, -0.84814453125, -0.266357421875, 8.6875, -1.1171875, 1.0927734375, -1.3369140625, -0.7431640625, -1.251953125, -1.2509765625 ]
0airplane
[ 8.75, -1.6591796875, -0.0165252685546875, -0.92431640625, -1.34765625, -1.7509765625, -2.640625, -0.7421875, -1.4111328125, -0.81591796875 ]
2bird
[ -0.7607421875, -1.7607421875, 8.4765625, -1.4541015625, -0.79443359375, -1.275390625, -0.43017578125, -2.15234375, -1.7705078125, -1.099609375 ]
5dog
[ -1.25, -2.232421875, -0.2095947265625, 2.845703125, -0.876953125, 6.9375, 0.8212890625, 0.350830078125, -1.083984375, -2.373046875 ]
6frog
[ -1.0029296875, -0.9755859375, -0.68212890625, -1.2109375, -0.62939453125, -2.115234375, 8.46875, -1.962890625, -0.7470703125, -1.0732421875 ]
3cat
[ -1.4248046875, -0.91162109375, -0.55615234375, 9.1171875, -0.354248046875, 0.489990234375, -0.5126953125, -0.91015625, -0.826171875, -1.2353515625 ]
6frog
[ -1.974609375, -1.134765625, 0.46044921875, 0.0066375732421875, -1.7509765625, -1.6884765625, 9.703125, -1.626953125, -1.09765625, -1.703125 ]
7horse
[ -0.00811767578125, -1.494140625, -0.13525390625, -1.5068359375, 0.93408203125, -0.72607421875, -1.2890625, 6.78125, 0.371337890625, -1.6259765625 ]
8ship
[ 1.4013671875, -1.5625, -1.6484375, -1.421875, -1.4091796875, -2.345703125, -1.08203125, -1.3779296875, 8.3671875, -1.935546875 ]
8ship
[ 0.9130859375, -0.71826171875, -2.2109375, -1.423828125, -1.2177734375, -2.318359375, -1.32421875, -1.4658203125, 9.3125, -1.099609375 ]
2bird
[ -0.15625, -2.08203125, 7.24609375, -0.1915283203125, 0.1268310546875, -1.6923828125, -1.033203125, -2.12890625, -1.001953125, -1.7197265625 ]
9truck
[ -1.703125, 2.314453125, -1.4638671875, -2.052734375, -1.8681640625, -1.4580078125, -1.05859375, -1.2822265625, 0.14111328125, 8.0234375 ]
6frog
[ -1.767578125, -0.998046875, -0.29833984375, -0.80810546875, -0.80712890625, -2.333984375, 9.109375, -2.052734375, -0.93701171875, -0.990234375 ]
8ship
[ 1.4345703125, -1.4404296875, -1.8017578125, -1.2109375, -0.364990234375, -2.607421875, -1.818359375, -1.0712890625, 8.7734375, -1.591796875 ]
6frog
[ -2.037109375, -1.4423828125, -0.07659912109375, -0.583984375, 0.5654296875, -1.8212890625, 8.9296875, -1.8193359375, -1.7021484375, -1.4052734375 ]
9truck
[ -1.845703125, 2.2734375, -1.2587890625, -1.421875, -2.31640625, -1.3271484375, -1.869140625, -1.64453125, -0.11700439453125, 9.0703125 ]
8ship
[ 0.343505859375, -0.1881103515625, -1.86328125, -0.74853515625, -1.220703125, -2.34375, -1.068359375, -1.107421875, 7.76953125, -1.060546875 ]
7horse
[ -0.94873046875, -1.673828125, 0.04608154296875, -0.10321044921875, 0.7587890625, -0.0116729736328125, -1.509765625, 8.8984375, -1.8095703125, -1.22265625 ]
0airplane
[ 7.1484375, -1.1669921875, -0.81982421875, -0.59130859375, -2.001953125, -1.1650390625, -0.998046875, -0.382568359375, -1.4716796875, -0.7880859375 ]
2bird
[ -0.264892578125, -1.8544921875, 7.47265625, -2.109375, -1.607421875, -1.7275390625, -0.66162109375, -0.96484375, -0.548828125, -1.3935546875 ]
0airplane
[ 9.5859375, -0.85986328125, -0.77490234375, -1.2177734375, -1.6591796875, -2.029296875, -1.79296875, -0.354248046875, -0.239501953125, -0.322265625 ]
5dog
[ -1.56640625, -3.36328125, -1.5361328125, 2.333984375, -1.814453125, 8.421875, -1.96484375, -0.41259765625, -1.1845703125, -1.2275390625 ]
5dog
[ -1.4921875, -2.666015625, -1.7158203125, 1.4736328125, -1.53515625, 9.3203125, -1.0625, -0.53564453125, -0.9482421875, -0.95947265625 ]
6frog
[ -1.609375, -1.681640625, -1.2880859375, -0.2218017578125, -0.010467529296875, -1.775390625, 9.265625, -2.044921875, -1.02734375, -1.2578125 ]
5dog
[ -1.689453125, -2.310546875, -1.29296875, 2.568359375, -1.3544921875, 9.2890625, -1.5537109375, -0.662109375, -1.658203125, -1.47265625 ]
7horse
[ 0.8828125, -1.115234375, -0.04364013671875, -0.6318359375, 0.16455078125, -0.1671142578125, -1.685546875, 8.171875, -1.0400390625, -1.2197265625 ]
2bird
[ -0.84423828125, -2.60546875, 7.8671875, -1.228515625, 0.56982421875, -0.84033203125, -1.1015625, -0.9736328125, -1.921875, -0.60546875 ]
9truck
[ -0.99609375, 0.4462890625, -1.125, -1.7431640625, -1.7451171875, -1.1591796875, -2.08984375, -1.73046875, -0.1441650390625, 9.28125 ]
8ship
[ 1.0009765625, -1.5927734375, -1.361328125, -1.0048828125, -0.59423828125, -1.93359375, -1.697265625, 0.17431640625, 8.078125, -1.390625 ]
7horse
[ -0.58154296875, -1.0361328125, 0.06964111328125, -0.458984375, -0.3369140625, 0.62646484375, -1.6318359375, 9.0859375, -1.3095703125, -0.65087890625 ]
5dog
[ -1.9970703125, -1.744140625, -0.87353515625, 0.9384765625, -0.767578125, 8.1328125, 0.04248046875, -0.7734375, -1.5244140625, -1.5341796875 ]
9truck
[ -1.3837890625, 1.2119140625, -1.189453125, -1.291015625, -0.62255859375, -1.689453125, -2.076171875, -1.54296875, 0.1453857421875, 7.44921875 ]
1automobile
[ -1.1572265625, 9.4296875, -1.1845703125, -1.306640625, -1.5458984375, -1.9658203125, -1.1748046875, -1.474609375, -0.57177734375, 0.397216796875 ]
3cat
[ -0.78271484375, -0.7060546875, 0.77783203125, 1.8271484375, 0.75390625, 0.177734375, 0.517578125, 0.339111328125, -0.446044921875, -0.98193359375 ]
4deer
[ -0.79296875, -1.6015625, -0.2464599609375, -0.2568359375, 9.25, 0.11297607421875, -1.70703125, -0.302978515625, -1.001953125, -1.9296875 ]
2bird
[ -0.288818359375, -1.0439453125, 9.3515625, -1.197265625, -1.6962890625, -1.7138671875, -1.078125, -0.86669921875, -1.65234375, -1.466796875 ]
6frog
[ -2.146484375, -1.822265625, 0.650390625, -0.37939453125, 0.2320556640625, -2.068359375, 8.4765625, -1.5087890625, -1.1240234375, -1.642578125 ]
9truck
[ -2.205078125, -0.28662109375, -0.9248046875, -0.90673828125, -1.3818359375, -1.4951171875, -1.318359375, -1.7041015625, -0.2154541015625, 9.546875 ]
2bird
[ -0.62353515625, -2.021484375, 7.90625, -1.51953125, 0.07537841796875, -1.142578125, -0.70361328125, -1.447265625, -1.46875, -1.5693359375 ]
7horse
[ -0.775390625, -1.349609375, 0.252197265625, -0.99462890625, -0.826171875, 0.63818359375, -0.779296875, 9.3046875, -2.330078125, -1.4130859375 ]
1automobile
[ -0.87841796875, 8.71875, -0.50244140625, -1.3408203125, -1.8447265625, -1.9111328125, -0.322021484375, -0.53515625, -1.6474609375, 0.607421875 ]
7horse
[ -0.82373046875, -0.9736328125, 0.328125, -1.1494140625, -0.521484375, 0.0171966552734375, -1.0087890625, 8.5546875, -1.5166015625, -1.439453125 ]
8ship
[ 0.3017578125, -1.2509765625, -0.7158203125, -0.98779296875, -1.2470703125, -2.595703125, -1.8154296875, -0.720703125, 8.90625, -0.60693359375 ]
0airplane
[ 8.1484375, -1.31640625, -1.095703125, -1.3857421875, -0.80908203125, -2.20703125, -2.548828125, -1.1953125, 2.478515625, -1.1201171875 ]
1automobile
[ 3.83984375, 3.359375, -1.5673828125, -1.9169921875, -1.681640625, -1.4345703125, -1.4990234375, -0.6884765625, 0.12030029296875, 0.171630859375 ]
3cat
[ -1.298828125, -1.025390625, -0.35546875, 8.1640625, 0.2144775390625, -0.64794921875, -0.16357421875, -1.27734375, -0.477783203125, -1.0673828125 ]
4deer
[ -1.00390625, -1.5673828125, -0.49755859375, -0.328125, 8.609375, -0.163818359375, -1.06640625, -0.767578125, -0.69384765625, -1.9619140625 ]
7horse
[ -0.84716796875, -1.1748046875, -0.46044921875, -0.299072265625, 0.61181640625, 0.04290771484375, -1.3359375, 8.328125, -1.3955078125, -1.2626953125 ]
5dog
[ -1.587890625, -2.396484375, -1.353515625, 2.216796875, -1.16796875, 8.890625, -0.3935546875, -1.16015625, -1.685546875, -0.861328125 ]
2bird
[ -0.52734375, -2.541015625, 8.921875, -1.283203125, -0.09796142578125, -1.0927734375, -1.4296875, -1.9951171875, -2.220703125, -1.8759765625 ]
0airplane
[ 9.8203125, -1.8994140625, -0.267333984375, -1.013671875, -1.1572265625, -1.849609375, -1.7119140625, -0.9755859375, -0.30712890625, -0.73486328125 ]
0airplane
[ 9.53125, -1.8544921875, -0.74072265625, -0.356689453125, -1.23046875, -1.9609375, -1.826171875, -0.5302734375, -0.10992431640625, -0.56005859375 ]
2bird
[ -0.69970703125, -0.90869140625, 9.03125, -0.43310546875, -1.51171875, -1.4736328125, -1.154296875, -1.90234375, -2.267578125, -1.701171875 ]
4deer
[ -1.173828125, -1.5380859375, -0.130615234375, -0.69287109375, 9.28125, -0.228759765625, -1.5283203125, -0.32666015625, -0.56884765625, -1.9189453125 ]
9truck
[ -0.7705078125, 0.280517578125, -1.40625, -0.95361328125, -1.7265625, -0.84619140625, -1.96484375, -1.623046875, 0.0989990234375, 8.7109375 ]
2bird
[ -0.436279296875, -1.1220703125, 9.203125, -1.466796875, -1.9775390625, -1.4912109375, -0.83349609375, -1.5595703125, -2.072265625, -1.119140625 ]
0airplane
[ 8.8125, -1.2978515625, -1.7236328125, -0.92138671875, -2.2890625, -1.548828125, -1.6689453125, -0.46630859375, 0.165283203125, -1.0947265625 ]
4deer
[ -1.017578125, -1.673828125, -0.428466796875, -1.0908203125, 9.3125, -0.3232421875, -1.576171875, -0.327880859375, -0.52197265625, -1.9482421875 ]
6frog
[ -2.009765625, -0.95166015625, -0.333251953125, -0.6904296875, -1.4052734375, -1.4609375, 8.984375, -1.7236328125, -0.75927734375, -1.5791015625 ]
1automobile
[ -0.32861328125, 9.7890625, -0.08087158203125, -1.7158203125, -2.04296875, -1.3447265625, -1.1982421875, -1.203125, -0.69384765625, -0.393798828125 ]
3cat
[ -0.89404296875, -2.41796875, -1.5107421875, 6.30078125, 0.66162109375, 2.908203125, 0.208984375, -0.978515625, -1.763671875, -1.166015625 ]
4deer
[ -1.5966796875, -2.009765625, -1.2421875, -0.1610107421875, 8.671875, 1.9697265625, -1.3232421875, -0.1883544921875, -0.8955078125, -1.650390625 ]
6frog
[ -1.517578125, -0.888671875, -0.677734375, -0.6376953125, -0.61767578125, -1.7177734375, 9.1953125, -2.009765625, -1.4208984375, -1.0615234375 ]
7horse
[ -0.66357421875, -1.201171875, 0.55517578125, -0.75, -0.1566162109375, -0.716796875, -1.90625, 9.4140625, -1.4619140625, -1.4189453125 ]
4deer
[ -1.12890625, -1.1689453125, -1.095703125, -0.52685546875, 8.5546875, 0.55712890625, -1.3671875, 1.955078125, -1.0478515625, -2.12109375 ]
9truck
[ -1.0849609375, 0.149169921875, -1.349609375, -1.0498046875, -1.7666015625, -1.5478515625, -1.4013671875, -1.8271484375, 0.09918212890625, 9.3359375 ]
3cat
[ -1.3828125, -1.5400390625, -0.87548828125, 8.5078125, -0.90673828125, 2.005859375, -0.3974609375, -1.1884765625, -1.322265625, -1.330078125 ]
3cat
[ -1.001953125, -1.40234375, -0.2454833984375, 8.734375, -0.8740234375, 0.60498046875, -0.477294921875, -0.90625, -1.162109375, -1.103515625 ]
5dog
[ -2.240234375, -2.4140625, -0.22509765625, 2.982421875, 0.284423828125, 5.6796875, -0.87451171875, 0.0225372314453125, -1.2646484375, -1.4189453125 ]
6frog
[ -1.7021484375, -0.986328125, -0.4208984375, -0.43994140625, -0.455322265625, -1.56640625, 9.6328125, -1.9365234375, -1.2666015625, -1.08203125 ]
4deer
[ -2.6640625, -1.658203125, 0.830078125, -0.537109375, 6.43359375, 1.443359375, -1.8603515625, 2.8984375, -1.232421875, -1.7724609375 ]
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Dataset Card for AutoTrain Evaluator

This repository contains model predictions generated by AutoTrain for the following task and dataset:

  • Task: Multi-class Image Classification
  • Model: abhishek/autotrain_cifar10_vit_base
  • Dataset: cifar10

To run new evaluation jobs, visit Hugging Face's automatic model evaluator.

Contributions

Thanks to @davidberg for evaluating this model.

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