image
imagewidth (px)
32
32
target
class label
10 classes
evaluation_predictions
sequencelengths
10
10
7horse
[ -0.130859375, -0.794921875, 0.54638671875, -0.8798828125, -0.671875, -0.94677734375, -0.83642578125, 8.296875, -1.2548828125, -1.1162109375 ]
8ship
[ 1.43359375, -1.3701171875, -1.146484375, -1.17578125, -1.10546875, -2.564453125, -1.5185546875, -0.9892578125, 8.6484375, -0.56591796875 ]
5dog
[ -2.501953125, -2.064453125, 1.05859375, 2.0078125, -1.126953125, 6.94921875, -0.9814453125, -0.70361328125, -2.04296875, -1.38671875 ]
9truck
[ -1.6875, 0.58984375, -1.2470703125, -1.146484375, -1.8388671875, -1.0654296875, -1.0439453125, -1.8681640625, 0.5, 7.546875 ]
6frog
[ -1.638671875, -1.2353515625, 1.107421875, -0.55029296875, -1.2822265625, -2.046875, 9.2734375, -2.328125, -1.423828125, -1.529296875 ]
0airplane
[ 9.5, -2.25390625, -0.65478515625, -0.5966796875, -1.1884765625, -1.3603515625, -1.9296875, -0.85400390625, -1.09375, -1.4033203125 ]
0airplane
[ 8.640625, -2.884765625, 0.1900634765625, -0.5859375, -0.406494140625, -1.3505859375, -1.923828125, -0.1864013671875, -0.7275390625, -1.5830078125 ]
1automobile
[ -0.88330078125, 9.6484375, -0.86865234375, -1.474609375, -2.24609375, -1.5966796875, -0.93896484375, -1.4462890625, -0.6015625, -0.295654296875 ]
8ship
[ 2.533203125, -1.08984375, -2.4140625, -1.357421875, -0.86962890625, -1.3544921875, -1.404296875, -0.2607421875, 7.34375, -1.8564453125 ]
6frog
[ -1.8583984375, -1.4619140625, -0.373046875, -0.1727294921875, -0.935546875, -1.8544921875, 9.21875, -2.677734375, -1.2021484375, -0.395751953125 ]
9truck
[ -2.328125, 2.2578125, -2.15625, -1.4306640625, -1.41015625, -0.29443359375, -2.28515625, -1.3134765625, 1.2998046875, 6.01171875 ]
1automobile
[ -0.0693359375, 9.1484375, -0.29296875, -1.6005859375, -1.8935546875, -1.98828125, -1.4248046875, -0.9560546875, -0.94287109375, 0.0010957717895507812 ]
6frog
[ -2.08984375, -1.1298828125, -0.271484375, -0.72021484375, -0.38427734375, -1.1337890625, 9.1953125, -1.9892578125, -1.12890625, -1.1328125 ]
3cat
[ -1.1748046875, -1.8544921875, -0.70361328125, 7.08203125, 0.4892578125, 0.94091796875, -0.157958984375, -1.48046875, -1.39453125, -1.626953125 ]
0airplane
[ 8.2109375, -1.5439453125, -0.85302734375, -1.2421875, -1.6181640625, -1.3837890625, -2.03515625, -1.0009765625, -1.3349609375, -0.265380859375 ]
1automobile
[ -0.87744140625, 9.203125, -1.0732421875, -1.609375, -1.80078125, -1.5283203125, -1.2353515625, -1.6640625, 0.204833984375, 0.356689453125 ]
6frog
[ -1.51171875, -1.052734375, -0.0062103271484375, -0.9599609375, 0.03692626953125, -2.412109375, 8.6640625, -2.447265625, -0.84228515625, -0.90185546875 ]
2bird
[ -0.58642578125, -1.1337890625, 8.8828125, -0.0831298828125, -2.19140625, -1.0966796875, -0.7021484375, -2.2265625, -1.4541015625, -1.357421875 ]
9truck
[ -1.5087890625, 0.3759765625, -1.9052734375, -0.94287109375, -0.5869140625, -1.65625, -1.822265625, -2.09375, 1.4775390625, 8.9140625 ]
0airplane
[ 8.2890625, -0.94287109375, -0.853515625, -1.3818359375, -1.185546875, -1.5810546875, -1.908203125, -1.21484375, 0.279541015625, 0.32080078125 ]
8ship
[ 0.58837890625, -1.1484375, -2.150390625, -0.93603515625, -0.05474853515625, -2.37890625, -1.45703125, -1.3544921875, 9.03125, -0.59228515625 ]
5dog
[ -1.556640625, -2.45703125, -0.5732421875, 1.4140625, -0.822265625, 9.1875, -1.46484375, -0.8876953125, -1.4189453125, -1.1181640625 ]
6frog
[ -1.7255859375, -0.9267578125, 0.1707763671875, -0.46728515625, -0.4921875, -2.68359375, 9.046875, -2.025390625, -1.1962890625, -1.6640625 ]
2bird
[ -0.81982421875, -1.9599609375, 7.1953125, -0.81640625, -0.490966796875, 0.63818359375, -0.77099609375, -0.935546875, -2.3671875, -1.244140625 ]
3cat
[ -1.9755859375, -1.0146484375, -0.8662109375, 8.609375, -0.95654296875, 1.107421875, -0.828125, -0.91064453125, -0.9638671875, -0.84423828125 ]
9truck
[ -2.029296875, 0.70458984375, -0.51953125, -1.0400390625, -1.58984375, -0.58935546875, -0.63037109375, -1.7509765625, -0.9375, 7.859375 ]
2bird
[ -1.2119140625, -1.9794921875, 7.59375, 1.4326171875, 1.2763671875, -1.6025390625, 0.1368408203125, -1.9150390625, -1.765625, -2.51171875 ]
8ship
[ 1.248046875, -1.9794921875, -2.033203125, -1.5654296875, -1.5263671875, -2.21484375, -2.13671875, -1.4755859375, 9.8125, -1.1318359375 ]
5dog
[ -1.57421875, -2.26953125, -0.90625, 0.56201171875, -0.256103515625, 9.0546875, -0.9130859375, -0.76806640625, -0.85400390625, -1.4912109375 ]
2bird
[ -2.05078125, -2.92578125, 2.884765625, 2.0234375, -0.84912109375, 5.24609375, -2.150390625, 0.740234375, -2.4453125, -1.3505859375 ]
1automobile
[ -0.57421875, 9.078125, -1.052734375, -1.2314453125, -1.580078125, -1.80859375, -1.044921875, -1.6650390625, -0.66943359375, -0.42529296875 ]
0airplane
[ 9.359375, -2.3515625, 0.11444091796875, -0.60986328125, -0.9345703125, -1.4345703125, -1.740234375, -0.60009765625, -1.6318359375, -1.126953125 ]
3cat
[ -0.95703125, -1.4140625, 0.0238800048828125, 8.90625, -0.488525390625, 0.13525390625, -0.5830078125, -1.2744140625, -1.138671875, -1.4365234375 ]
4deer
[ -2.216796875, -1.9521484375, -1.046875, 1.1923828125, 5.90625, 4.3046875, -0.9169921875, 0.30029296875, -1.908203125, -1.5234375 ]
2bird
[ -0.64794921875, -2.1171875, 9.3515625, -1.5107421875, -1.9755859375, -1.0087890625, -0.46630859375, -1.5302734375, -2.123046875, -1.779296875 ]
4deer
[ -2.0390625, -2.591796875, 0.31103515625, 0.54736328125, 8.21875, 2.30078125, -1.75, 1.171875, -2.04296875, -1.908203125 ]
6frog
[ -1.9794921875, -2.13671875, -1.3193359375, 0.31787109375, 1.4580078125, -0.6416015625, 7.98046875, -0.458984375, -2.091796875, -1.638671875 ]
5dog
[ -1.369140625, -1.822265625, -0.71728515625, 1.427734375, -0.69091796875, 9.7265625, -1.77734375, -0.55615234375, -1.9501953125, -0.94677734375 ]
5dog
[ -1.7578125, -2.099609375, -0.64599609375, 1.6435546875, -0.77685546875, 8.171875, -0.955078125, -0.2489013671875, -2.1640625, -1.5322265625 ]
0airplane
[ 8.546875, -1.82421875, -1.1748046875, -0.308837890625, -2.5390625, -0.2919921875, -1.8916015625, -0.55029296875, -1.595703125, -0.9541015625 ]
7horse
[ -0.06036376953125, -1.271484375, -0.17431640625, -1.341796875, -0.336181640625, 0.39501953125, -1.7958984375, 8.421875, -1.3095703125, -0.82470703125 ]
4deer
[ -0.9072265625, -1.8759765625, -0.379150390625, -0.2998046875, 8.375, -0.72900390625, -1.8671875, 0.6064453125, -0.445068359375, -1.3203125 ]
5dog
[ -1.1416015625, -2.484375, -0.521484375, 1.5234375, -1.4990234375, 8.890625, -1.9267578125, -0.420166015625, -1.486328125, -1.1708984375 ]
4deer
[ -1.0537109375, -0.974609375, 0.10443115234375, -0.5712890625, 7.25, 1.0185546875, -0.1177978515625, 0.366943359375, -0.5517578125, -1.736328125 ]
7horse
[ -0.17919921875, -0.970703125, 0.37353515625, -0.9052734375, -0.06597900390625, -0.90087890625, -1.3017578125, 9.1640625, -1.1298828125, -1.4013671875 ]
5dog
[ -1.771484375, -2.55078125, -1.0458984375, 2.00390625, -0.66845703125, 9.0078125, -1.4677734375, -0.77392578125, -1.4892578125, -1.28515625 ]
6frog
[ -1.138671875, -1.6513671875, 1.7001953125, -0.109375, -0.08819580078125, -1.69140625, 7.5859375, -1.509765625, -1.56640625, -2.4921875 ]
1automobile
[ -0.95361328125, 8.8046875, -1.125, -0.8544921875, -2.37890625, -1.365234375, -1.0380859375, -1.57421875, -0.73388671875, 0.908203125 ]
0airplane
[ 5.953125, -0.2919921875, -1.5791015625, -1.154296875, -2.1328125, 0.162353515625, -2.291015625, -1.0126953125, -0.376953125, 1.9716796875 ]
1automobile
[ -1.548828125, 8.6953125, -0.80517578125, -1.4716796875, -1.3173828125, -2.0078125, -0.8916015625, -1.0712890625, -0.89892578125, -0.445556640625 ]
3cat
[ -1.6845703125, -0.74951171875, 0.5126953125, 8.53125, -0.8203125, -0.25927734375, -0.30419921875, -1.2939453125, -0.9072265625, -0.78857421875 ]
3cat
[ -1.3828125, -1.5400390625, -0.87548828125, 8.5078125, -0.90673828125, 2.005859375, -0.3974609375, -1.1884765625, -1.322265625, -1.330078125 ]
4deer
[ -1.8828125, -1.78125, -0.78564453125, 0.94140625, 8.2578125, 0.90771484375, -0.32177734375, -0.076904296875, -1.0771484375, -1.2783203125 ]
3cat
[ -1.740234375, -2.201171875, -0.31298828125, 7.296875, 0.77294921875, 1.4111328125, 0.338623046875, -0.469970703125, -1.1923828125, -2.0703125 ]
6frog
[ -1, -1.6533203125, -0.7900390625, -0.91943359375, 0.0276641845703125, -2.150390625, 8.8359375, -1.3193359375, -1.0576171875, -2.0078125 ]
0airplane
[ 9.1484375, -1.7001953125, -0.84619140625, -0.703125, -1.841796875, -1.833984375, -1.265625, -0.64892578125, -0.141845703125, -0.79931640625 ]
7horse
[ -0.79345703125, -1.3896484375, 0.76513671875, -0.8701171875, -0.46044921875, 0.27294921875, -1.6201171875, 8.7578125, -1.7275390625, -1.6923828125 ]
5dog
[ -1.1826171875, -2.353515625, -0.68310546875, 1.9453125, -1.228515625, 8.9296875, -1.78515625, -0.994140625, -1.82421875, -0.330322265625 ]
6frog
[ -1.19921875, -0.39306640625, -0.60400390625, -0.59228515625, -1.3232421875, -2.384765625, 9.0703125, -2.0859375, -1.0087890625, -1.4970703125 ]
3cat
[ -1.4501953125, -1.1650390625, -0.5830078125, 9.0859375, -0.962890625, 0.444091796875, -0.325439453125, -0.71484375, -0.42529296875, -0.9140625 ]
7horse
[ -0.1064453125, -1.1181640625, 0.794921875, -1.416015625, 0.86181640625, -0.16748046875, -1.818359375, 8.0546875, -1.681640625, -0.4990234375 ]
9truck
[ 0.217529296875, -0.49609375, -0.92529296875, -0.7705078125, -1.6845703125, -1.5400390625, -1.7412109375, -1.7802734375, 0.335205078125, 8.28125 ]
2bird
[ -0.288818359375, -1.0439453125, 9.3515625, -1.197265625, -1.6962890625, -1.7138671875, -1.078125, -0.86669921875, -1.65234375, -1.466796875 ]
8ship
[ 1.2333984375, -1.236328125, -0.9541015625, -1.30859375, -1.6416015625, -1.6708984375, -0.9775390625, -1.607421875, 8.15625, -1.4111328125 ]
0airplane
[ 7.64453125, -2.4140625, 1.2734375, -0.79736328125, -1.1513671875, -1.19921875, -1.8544921875, -0.62353515625, -0.78271484375, -1.8134765625 ]
4deer
[ -1.0068359375, -2.453125, 0.5849609375, -1.12109375, 8.3203125, -0.09136962890625, -2.533203125, 1.3388671875, -0.82421875, -1.71484375 ]
7horse
[ -0.57275390625, -1.6435546875, 0.1943359375, -0.93115234375, 1.6357421875, -0.275146484375, -1.86328125, 8.9765625, -2.216796875, -1.6611328125 ]
0airplane
[ 8.5703125, -0.794921875, -0.6279296875, -1.2919921875, -2.169921875, -1.7314453125, -2.099609375, -0.62451171875, -0.76708984375, -0.5986328125 ]
6frog
[ -2.05078125, -1.4736328125, 0.11004638671875, 0.0386962890625, 0.57080078125, -3.060546875, 7.88671875, -2.435546875, -1.306640625, -1.46875 ]
9truck
[ -2.333984375, 1.673828125, -1.91796875, -1.3291015625, -1.244140625, -0.90087890625, -1.9130859375, -1.8779296875, -0.1595458984375, 8.734375 ]
6frog
[ -2.212890625, -0.98046875, -0.5908203125, -0.0440673828125, -1.2060546875, -1.4697265625, 9.65625, -2.37890625, -1.0439453125, -1.359375 ]
5dog
[ -1.2958984375, -1.5888671875, -0.485595703125, 0.58349609375, -0.2252197265625, 8.359375, -0.3037109375, -0.52685546875, -1.0751953125, -1.3310546875 ]
1automobile
[ -0.173095703125, 8.3515625, -1.6533203125, -0.330322265625, -1.6240234375, -1.22265625, -0.17529296875, -1.9404296875, -0.436279296875, 1.4423828125 ]
9truck
[ -1.8046875, 6.21484375, -0.65283203125, -1.29296875, -1.5361328125, -1.78515625, -1.3486328125, -1.8076171875, -1.1328125, 3.306640625 ]
2bird
[ -1.4287109375, -1.900390625, 9.03125, -1.857421875, -0.77978515625, -0.83349609375, -0.77294921875, -1.37890625, -1.5205078125, -1.6025390625 ]
8ship
[ 1.3681640625, -0.802734375, -2.0546875, -1.693359375, -1.6259765625, -2.822265625, -0.99609375, -1.142578125, 9.171875, -1.7373046875 ]
6frog
[ -1.7900390625, -1.4482421875, 0.24755859375, -0.2998046875, -0.80615234375, -1.9345703125, 8.7578125, -1.939453125, -0.80615234375, -0.912109375 ]
3cat
[ -0.259521484375, -1.9912109375, -0.6435546875, 8.1484375, -0.08404541015625, -0.08734130859375, -0.1595458984375, -0.6630859375, -1.5576171875, -1.5595703125 ]
0airplane
[ 7.953125, -1.6337890625, -1.3720703125, -1.234375, -1.677734375, -2.671875, -2.275390625, -0.966796875, 3.46484375, -0.57373046875 ]
1automobile
[ -1.3369140625, 9.328125, -0.96630859375, -0.744140625, -2.01953125, -1.484375, -0.60107421875, -1.4951171875, -1.041015625, 0.6298828125 ]
1automobile
[ -0.52880859375, 9.7421875, -0.314697265625, -1.291015625, -1.775390625, -1.7998046875, -1.3251953125, -1.099609375, -0.62158203125, -0.52685546875 ]
0airplane
[ 6.8515625, -2.072265625, 1.775390625, -0.202392578125, -0.85693359375, -1.1513671875, -2.26953125, -0.95458984375, -1.916015625, -2.27734375 ]
8ship
[ 1.0859375, -0.45751953125, -1.931640625, -1.115234375, -1.7138671875, -2.880859375, -1.3388671875, -1.9365234375, 8.3125, -0.33642578125 ]
7horse
[ -1.099609375, -1.3525390625, 0.19970703125, -0.62451171875, -0.5439453125, 0.1005859375, -1.755859375, 8.8671875, -1.3388671875, -1.3408203125 ]
0airplane
[ 8.5078125, -1.0634765625, -0.93505859375, -1.6767578125, -1.7548828125, -2.34375, -2.169921875, -1.478515625, 1.189453125, 0.12939453125 ]
1automobile
[ 0.404052734375, 8.53125, -0.4541015625, -2.015625, -2.2734375, -1.7587890625, -1.5625, -1.0869140625, 1.1337890625, 0.1353759765625 ]
8ship
[ 1.40234375, -2.48828125, -1.7265625, -1.92578125, -0.88671875, -1.9541015625, -1.794921875, -1.576171875, 9.4609375, -1.4345703125 ]
4deer
[ -1.615234375, -1.6650390625, 0.158203125, -0.255615234375, 7.73046875, -0.388671875, -0.8427734375, 1.3662109375, -0.6630859375, -1.3779296875 ]
9truck
[ -0.47607421875, 0.884765625, -2.30078125, -1.5869140625, -1.1103515625, -1.7578125, -1.759765625, -1.85546875, 0.226806640625, 8.234375 ]
2bird
[ -0.708984375, -1.6103515625, 7.921875, -1.5185546875, 0.11614990234375, -1.7412109375, -1.029296875, -1.5498046875, -1.5341796875, -1.119140625 ]
8ship
[ 0.8056640625, -1.8896484375, -1.4296875, -1.43359375, -0.20166015625, -2, -2.015625, -0.374755859375, 8.3359375, -0.6787109375 ]
4deer
[ -0.80810546875, -1.2431640625, -0.69189453125, -0.11590576171875, 8.9609375, 0.8203125, -1.349609375, 0.441650390625, -0.458251953125, -1.53125 ]
6frog
[ -1.71484375, -0.92138671875, -0.71484375, -0.93994140625, -0.7236328125, -1.361328125, 9.3125, -1.8349609375, -0.6259765625, -1.0869140625 ]
8ship
[ 1.4228515625, -0.2281494140625, -2.3984375, 0.415771484375, -1.001953125, -1.9931640625, -2.435546875, -0.376953125, 7.6328125, -0.69921875 ]
7horse
[ -0.3154296875, -1.267578125, 0.28955078125, -1.3369140625, -1.2412109375, 0.233154296875, -1.1962890625, 8.984375, -1.1142578125, -1.921875 ]
2bird
[ 1.181640625, -2.44140625, 6.625, -1.7705078125, -2.34375, -0.84326171875, -0.828125, -2.12890625, -0.398681640625, -0.5908203125 ]
2bird
[ -1.119140625, -0.6357421875, 8.546875, 0.03228759765625, -1.38671875, -0.192138671875, 0.093994140625, -2.12890625, -2.05078125, -2.05078125 ]
3cat
[ -1.0830078125, -1.521484375, -1.279296875, 8.59375, -0.66259765625, 0.71142578125, -0.7255859375, -0.435791015625, -0.689453125, -1.1455078125 ]
4deer
[ -1.193359375, -1.435546875, -1.6142578125, -0.1572265625, 8.65625, 2.017578125, -1.201171875, 0.2327880859375, -0.95361328125, -1.8564453125 ]
8ship
[ -0.314453125, -0.9453125, -1.7333984375, -0.96875, -1.28515625, -1.9228515625, -1.6220703125, -1.2236328125, 9.3828125, -0.85302734375 ]

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 @lewtun for evaluating this model.

Downloads last month
3
Edit dataset card