image
image
target
class label
10 classes
evaluation_predictions
sequence
55
[ -0.5048828125, -3.478515625, 0.380126953125, 2.513671875, -4.625, 10.6953125, -0.97216796875, -0.81787109375, -1.29296875, -2.615234375 ]
55
[ 2.4453125, -2.951171875, -0.541015625, 3.013671875, -3.494140625, 7.02734375, -0.2509765625, -1.7607421875, 0.91796875, -2.919921875 ]
66
[ 0.263427734375, -2.052734375, 1.287109375, -3.2265625, -0.50732421875, 0.73095703125, 10.1796875, -5.1640625, 0.79150390625, -2.13671875 ]
66
[ 5.5, -1.5908203125, 2.181640625, -3.51171875, -3.98046875, 1.31640625, 7.46484375, -2.322265625, 0.270263671875, -0.0697021484375 ]
66
[ 1.013671875, -3.85546875, 2.802734375, -3.85546875, -2.732421875, 0.62109375, 11.0234375, -3.578125, -0.474365234375, -2.43359375 ]
99
[ 0.1405029296875, -0.5751953125, -1.9853515625, -3.427734375, 2.447265625, -1.7158203125, -4.03125, -0.442138671875, -0.2269287109375, 11.6171875 ]
33
[ -2.21875, -0.1717529296875, 2.267578125, 11.9375, -4.21484375, 5.16015625, -1.83203125, -2.392578125, 0.216064453125, -3.3203125 ]
66
[ -0.420654296875, -3.439453125, 3.185546875, -3.31640625, -1.2607421875, 0.41748046875, 10.7734375, -4.31640625, -0.77734375, -2.818359375 ]
55
[ -2.578125, -2.328125, 2.4765625, 7.84375, -5.0546875, 6.01953125, 1.16796875, -4.1328125, 0.88916015625, -2.349609375 ]
33
[ -3.46484375, -2.099609375, 4.21875, 9.2421875, -5.38671875, 5.48828125, -2.689453125, -1.556640625, 0.0255126953125, -2.515625 ]
88
[ -2.712890625, -2.80859375, 1.2431640625, 4.0234375, -3.96484375, -2.419921875, -1.919921875, -4.01171875, 12.1015625, 0.271484375 ]
66
[ 1.845703125, -2.05859375, 2.017578125, -4.109375, -1.283203125, -0.397705078125, 11.1640625, -4.3515625, -0.7568359375, -2.689453125 ]
22
[ -3.21875, -2.501953125, 10.140625, -1.47265625, -0.892578125, -2.607421875, 2.609375, -2.8125, 1.7509765625, -1.876953125 ]
33
[ -2.716796875, -2.259765625, 1.7607421875, 12, -5.87109375, 4.4140625, -4.2421875, -0.190185546875, 1.244140625, -2.052734375 ]
22
[ -3.796875, -1.48046875, 10.6328125, 3.244140625, -3.185546875, -1.0751953125, -2.814453125, 1.470703125, 1.0625, -2.931640625 ]
99
[ -0.99560546875, -0.96142578125, -2.939453125, -3.0859375, 3.23828125, -1.787109375, -4.08203125, -0.39453125, 0.260009765625, 11.7734375 ]
44
[ -3.640625, -0.0206756591796875, -0.8603515625, -3.29296875, 10.953125, -1.3857421875, -1.9501953125, 2.666015625, 1.2060546875, -0.42626953125 ]
00
[ 10.5234375, -0.853515625, -0.75927734375, -2.6640625, -2.376953125, -1.0751953125, 1.921875, -0.59912109375, -1.4521484375, 0.47509765625 ]
66
[ 1.740234375, -2.853515625, 1.087890625, -3.86328125, -2.294921875, 2.091796875, 10.4375, -4.71484375, 0.2000732421875, -2.2421875 ]
99
[ 1.0341796875, -1.80859375, -2.078125, -2.421875, 2.23046875, -1.44921875, -1.89453125, -1.833984375, 1.4580078125, 8.9609375 ]
11
[ -1.9609375, 10.484375, -1.7978515625, -3.263671875, 1.5234375, -2.6015625, -0.10302734375, 1.3369140625, -0.66845703125, 0.6875 ]
77
[ -2.9453125, 3.150390625, -0.52880859375, -1.359375, -0.1572265625, 0.333251953125, -4.6953125, 9.640625, -2.642578125, 2.408203125 ]
88
[ -4.03125, -3.7421875, 2.88671875, -1.1650390625, -0.95068359375, -2.072265625, 0.5654296875, -2.15625, 10.1484375, -1.0390625 ]
00
[ 10.2265625, -1.0107421875, -0.7578125, -2.20703125, -2.15234375, -0.9521484375, 2.77734375, -0.8623046875, -1.37890625, 0.30859375 ]
77
[ -1.5185546875, 0.89404296875, 1.6015625, -2.689453125, -0.63427734375, 1.033203125, -3.833984375, 11.0234375, -2.416015625, 1.587890625 ]
66
[ 0.33642578125, -2.84765625, 2.814453125, -3.228515625, -1.6005859375, 0.1837158203125, 11.8125, -4, -0.92822265625, -3.154296875 ]
11
[ -2.34375, 10.53125, -1.4638671875, -4.67578125, 0.740234375, -3.1953125, 1.0498046875, 1.908203125, -1.7109375, -0.0360107421875 ]
55
[ -0.2103271484375, -3.3203125, 1.4677734375, 5.9453125, -5.49609375, 9.328125, -1.5595703125, -1.09375, -1.5654296875, -0.304931640625 ]
11
[ -1.9755859375, 10.6953125, -1.5009765625, -4.1796875, 0.40869140625, -3.15625, 1.1884765625, 1.73046875, -1.466796875, 0.306396484375 ]
55
[ -1.6630859375, -0.1712646484375, 0.1143798828125, 3.904296875, -2.86328125, 4.72265625, -4.05078125, 4.9140625, -0.7958984375, 0.29931640625 ]
11
[ -1.8095703125, 10.8828125, -2.046875, -4.6015625, 0.62451171875, -2.78515625, 0.6865234375, 1.1884765625, -1.1455078125, 0.41552734375 ]
55
[ -0.71875, -1.9833984375, 0.1124267578125, 3.65234375, -4.18359375, 10.0703125, -2.59765625, 1.962890625, -2.08203125, -2.130859375 ]
99
[ -4.5390625, -1.2265625, -1.904296875, 0.57763671875, 1.939453125, -2.626953125, -5.46484375, 2.537109375, 3.525390625, 8.5703125 ]
88
[ -2.4140625, -4.01171875, 0.9033203125, 3.515625, -3.279296875, -1.794921875, -1.302734375, -3.82421875, 10.0859375, 1.8935546875 ]
99
[ -1.8837890625, -0.79443359375, -3.541015625, -2.33984375, 4.39453125, -1.658203125, -3.8828125, -0.279052734375, -0.70703125, 11.640625 ]
44
[ -2.416015625, 0.369140625, -1.1318359375, -3.369140625, 11.421875, -1.2734375, -1.15625, 0.58740234375, -0.08251953125, 1.2431640625 ]
55
[ -0.61767578125, -1.681640625, 1.7978515625, 2.7734375, -4.2734375, 8.0078125, 0.1226806640625, -0.351806640625, -2.603515625, -0.475830078125 ]
99
[ -1.8291015625, -1.2275390625, -0.666015625, -3.796875, 2.982421875, -2.19921875, -2.140625, 1.4814453125, -0.281005859375, 10.5625 ]
00
[ 11.171875, -0.828125, 0.1297607421875, -2.22265625, -3.955078125, -0.314697265625, 2.443359375, 0.525390625, -1.638671875, -1.330078125 ]
88
[ -2.35546875, -2.236328125, 0.9228515625, 4.8125, -4.140625, -2.134765625, -1.970703125, -3.447265625, 11.234375, -1.0546875 ]
11
[ -1.2900390625, 10.515625, -1.5458984375, -3.927734375, 0.375, -2.720703125, 0.74658203125, 1.392578125, -1.5458984375, 0.1854248046875 ]
66
[ 2.78125, -1.7333984375, 1.603515625, -3.958984375, 2.28125, -0.60498046875, 9.9375, -5.15234375, 0.0643310546875, -4.60546875 ]
11
[ -2.033203125, 10.3515625, -1.0673828125, -3.900390625, 0.183349609375, -3.4140625, 0.350830078125, 1.6953125, -1.5029296875, 0.0787353515625 ]
55
[ -0.5419921875, -4.25390625, 1.0498046875, -0.10992431640625, -5.1640625, 10.765625, 1.09375, -1.6796875, -1.7294921875, -0.8076171875 ]
44
[ -2.80859375, 0.448974609375, -0.205078125, -3.37890625, 9.5625, -1.6259765625, -0.09326171875, 0.6611328125, 0.54052734375, -1.3505859375 ]
77
[ -1.392578125, 2.357421875, 1.3388671875, -1.484375, -1.3701171875, 2.8203125, -4.6953125, 10, -2.9609375, 1.3720703125 ]
99
[ -2.453125, -1.8544921875, -1.5869140625, -2.923828125, 2.9375, 0.399658203125, -2.037109375, -0.4248046875, 0.228515625, 7.9921875 ]
99
[ -2.412109375, -0.63134765625, -1.583984375, -1.5244140625, 2.01953125, -2.6796875, -4.28515625, 1.3017578125, 3.00390625, 9.859375 ]
66
[ 2.814453125, -1.212890625, 0.8671875, -4.0703125, 1.5654296875, -0.421630859375, 10.328125, -5.2421875, 0.315673828125, -3.962890625 ]
99
[ 1.455078125, -0.99951171875, -2.67578125, -3.091796875, 1.681640625, -1.0693359375, -2.759765625, -0.7890625, -1.8193359375, 9.8984375 ]
22
[ -0.491943359375, -2.35546875, 8.546875, 1.0625, -5.90625, 2.0625, 0.0170745849609375, -0.626953125, -1.0224609375, -1.0205078125 ]
77
[ 0.609375, 0.47900390625, -0.2166748046875, -1.3134765625, 0.6611328125, 1.5615234375, -3.357421875, 5.22265625, -0.369384765625, 1.9970703125 ]
00
[ 10.6796875, -0.8232421875, -0.642578125, -3.14453125, -2.63671875, -1.7080078125, 2.30078125, -0.6923828125, -1.603515625, 0.58349609375 ]
66
[ 1.67578125, -2.78125, 2.2890625, -3.1875, -1.1064453125, -0.19384765625, 11.328125, -4.25390625, -0.63720703125, -3.982421875 ]
33
[ -2.5625, -1.3828125, 2.3125, 12.7265625, -4.26953125, 2.51953125, -2.962890625, -2, 1.7783203125, -2.794921875 ]
66
[ 1.2353515625, -2.1171875, 3.244140625, -4.18359375, -1.8984375, 0.25634765625, 10.6015625, -3.029296875, -2.23828125, -1.9580078125 ]
33
[ -2.294921875, -2.208984375, 2.43359375, 11.8359375, -4.765625, 4.48828125, -1.111328125, -2.916015625, 1.7158203125, -3.259765625 ]
77
[ -2.4609375, 1.671875, 1.314453125, 0.619140625, -2.21484375, 3.185546875, -3.560546875, 9.4921875, -1.505859375, 0.55712890625 ]
33
[ 1.2919921875, -0.467041015625, 3.853515625, 7.42578125, -3.470703125, 4.16015625, 0.50341796875, -3.201171875, -3.6171875, -3.0234375 ]
44
[ -3.109375, 1.1064453125, -1.8916015625, -3.751953125, 11.46875, -1.2578125, -2.291015625, 2.0625, -0.7744140625, 1.8037109375 ]
22
[ -3.6328125, -0.439697265625, 11.5859375, 2.03125, -3.328125, -1.478515625, -0.444580078125, -0.193603515625, -0.022125244140625, -3.447265625 ]
11
[ -1.7724609375, 11.1875, -1.427734375, -4.2578125, 0.82470703125, -3.755859375, 0.90478515625, 1.62109375, -1.3935546875, 0.546875 ]
00
[ 10.8046875, -0.95947265625, -1.0546875, -3.130859375, -1.9296875, -1.18359375, 2.693359375, -1.4658203125, -0.85498046875, 0.65380859375 ]
00
[ 10.828125, -0.4423828125, 0.454833984375, -3.328125, -3.603515625, -0.94580078125, 0.047821044921875, 0.6943359375, -2.12890625, 0.94677734375 ]
44
[ -3.015625, 1.615234375, 0.309326171875, -1.01953125, 7.60546875, -2.1953125, -2.06640625, 0.74169921875, -1.244140625, 0.5625 ]
77
[ -2.49609375, 1.89453125, 2.8515625, -1.6328125, -2.55859375, 0.426513671875, -3.017578125, 10.4921875, -3.2421875, 1.15234375 ]
88
[ -1.955078125, -2.0234375, 0.5048828125, 0.94970703125, -1.935546875, -0.5419921875, -1.5673828125, -3.359375, 9.5546875, 1.2939453125 ]
11
[ -1.66796875, 11.1328125, -2.115234375, -3.697265625, 1.2060546875, -3.07421875, 0.43359375, 1.0751953125, -0.7890625, 1.1220703125 ]
00
[ 11.34375, -0.89501953125, -0.1878662109375, -3.37109375, -2.9765625, -0.6923828125, 0.92724609375, -0.888671875, -1.6376953125, 0.1566162109375 ]
22
[ 1.28125, -3.630859375, 8.6328125, -1.0830078125, -3.736328125, -0.41943359375, 1.9248046875, -1.0966796875, 2.8359375, -1.5517578125 ]
66
[ 0.9619140625, -1.7021484375, 2.2265625, -4.60546875, 0.86376953125, -0.56884765625, 11.078125, -4.828125, -0.87841796875, -3.349609375 ]
55
[ -0.6064453125, -0.49755859375, -0.2301025390625, 8.2734375, -4.0546875, 9.6796875, -2.171875, -0.140869140625, -2.36328125, -3.1328125 ]
99
[ -2.27734375, 1.654296875, -1.568359375, 1.2431640625, -0.1845703125, -2.2734375, -4.25, -0.334716796875, 4.9375, 6.5859375 ]
99
[ 3.052734375, -2.224609375, 0.658203125, -3.71484375, 0.057586669921875, -1.0771484375, -2.6484375, 0.484375, -1.0322265625, 9.484375 ]
33
[ -1.859375, -3.69140625, -0.51123046875, 9.1015625, -5.66015625, 7.421875, -1.6474609375, -1.982421875, 1.5732421875, -1.0439453125 ]
88
[ -4.171875, -2.77734375, 0.9580078125, 0.173828125, -0.86865234375, -2.08203125, -1.5390625, -1.271484375, 10.484375, -1.3671875 ]
99
[ -2.37890625, -1.041015625, -2.265625, -2.52734375, 2.51171875, -1.8271484375, -3.91015625, 0.496826171875, 0.65234375, 11.1875 ]
55
[ -0.7685546875, 1.275390625, 1.8525390625, -2.08203125, -3.546875, 5.7890625, 0.457763671875, 2.875, -2.33984375, -0.53369140625 ]
11
[ -2.0703125, 10.8984375, -1.4892578125, -4.0234375, 0.256103515625, -3.23046875, 1.044921875, 1.3974609375, -1.685546875, 0.0574951171875 ]
77
[ -1.4072265625, 1.1201171875, -0.0094757080078125, -2.205078125, -0.6416015625, 2.759765625, -3.97265625, 10.546875, -2.30078125, 0.470458984375 ]
66
[ -3.109375, -3.216796875, 3.466796875, -0.81640625, -1.09375, -0.7314453125, 4.140625, -3.94921875, 7.37109375, -3.830078125 ]
55
[ -0.46728515625, -3.7109375, 2.8515625, 1.97265625, -5.20703125, 8.484375, 3.818359375, -3.578125, -1.9697265625, -0.70068359375 ]
99
[ -2.095703125, 0.384521484375, -1.6962890625, -2.630859375, 1.7587890625, -1.6376953125, -3.4140625, 2.052734375, -1.5048828125, 10.6171875 ]
11
[ -2.45703125, 9.9453125, -0.363037109375, -5.2734375, 0.34765625, -3.498046875, 0.74755859375, 3.05859375, -2.56640625, 0.1470947265625 ]
44
[ -2.666015625, 1.3662109375, -3.05078125, -2.826171875, 8.140625, -0.85400390625, 0.29150390625, -1.98828125, -0.2476806640625, 2.20703125 ]
44
[ -3.3671875, -0.65771484375, -1.5029296875, -4.1796875, 10.953125, -1.7783203125, -0.23779296875, -0.0311737060546875, 1.8876953125, -0.326416015625 ]
00
[ 10.2734375, -1.5791015625, -0.304931640625, -1.193359375, -3.43359375, -0.50830078125, 1.5498046875, -0.884765625, -0.9765625, 0.61328125 ]
88
[ -2.916015625, -3.005859375, 0.873046875, 2.560546875, -3.0078125, -2.845703125, -2.18359375, -2.37890625, 11.96875, 1.216796875 ]
22
[ -4.82421875, 0.375732421875, 7.32421875, 3.09375, -3.05859375, 2.896484375, 1.4296875, -0.841796875, -0.9873046875, -4.94921875 ]
88
[ -2.49609375, -2.943359375, 1.7001953125, 1.9462890625, -3.359375, -2.982421875, -2.2890625, -2.435546875, 12.0234375, 0.87451171875 ]
00
[ 6.73828125, -1.5380859375, 1.9443359375, -4.9296875, -4.46875, -0.1856689453125, 1.341796875, -0.62060546875, 0.434814453125, 1.986328125 ]
77
[ -1.40625, 7.3125, -0.2174072265625, -2.486328125, -2.490234375, 0.275634765625, -0.60400390625, 5.12890625, -2.1015625, 0.90283203125 ]
33
[ -2.9296875, -2.169921875, 2.16015625, 9.984375, -5.16796875, 4.109375, 0.035308837890625, -4.9296875, 2.908203125, -3.326171875 ]
55
[ 1.7080078125, -4.3984375, -0.50537109375, 2.818359375, -3.845703125, 8.671875, -1.4658203125, -0.365478515625, -1.8564453125, 0.0977783203125 ]
66
[ 1.421875, -2.423828125, 2.869140625, -3.25390625, -0.009552001953125, -0.52490234375, 10.953125, -5.20703125, -0.60400390625, -4.24609375 ]
66
[ -1.6923828125, -3.587890625, 4.70703125, -2.59375, -0.33251953125, -0.1829833984375, 8.9375, -4.84765625, 1.1259765625, -3.228515625 ]
11
[ -2.388671875, 10.59375, -1.2783203125, -5.02734375, 0.73681640625, -3.6640625, 0.8759765625, 2.44921875, -2.25, 0.414794921875 ]
99
[ -3.142578125, -0.86376953125, -2.814453125, -2.193359375, 3.29296875, -2.166015625, -4.78515625, 1.1416015625, 0.3662109375, 11.4453125 ]
33
[ 1.177734375, -3.599609375, 1.0830078125, 6.0625, -4.23828125, 8.578125, -2.349609375, 0.44677734375, -1.7646484375, -2.423828125 ]
22
[ -2.994140625, -1.51171875, 9.8203125, 1.1142578125, -3.0859375, -0.376708984375, -0.477783203125, 1.025390625, 0.06854248046875, -2.630859375 ]

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: autoevaluate/image-multi-class-classification
  • Dataset: autoevaluate/mnist-sample

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

Contributions

Thanks to @lewtun for evaluating this model.

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