test set evals
Browse files
test_set_classification_report_class_breakdown.txt
ADDED
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| 1 |
+
Category Precision Recall F1-Score Support
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| 2 |
+
Acids and salts, etc 0.83 0.5 0.62 161
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| 3 |
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Acids, alkalis, etc 0.84 0.57 0.68 386
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| 4 |
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Advertising 0.83 0.46 0.59 120
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| 5 |
+
Aeronautics 1.0 0.53 0.69 40
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| 6 |
+
Agricultural appliances, farmyard 0.87 0.53 0.66 161
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| 7 |
+
Agricultural appliances, for treatment of land, etc. 0.92 0.8 0.86 428
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| 8 |
+
Air and gas engines 0.86 0.55 0.67 159
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| 9 |
+
Air and gases, compressing, etc 0.65 0.26 0.38 257
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| 10 |
+
Ammunition 0.9 0.77 0.83 268
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| 11 |
+
Animal powered engines 0.76 0.35 0.48 155
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| 12 |
+
Artists' instruments 0.71 0.2 0.31 50
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| 13 |
+
Bearings, etc. 0.89 0.37 0.52 270
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| 14 |
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Bells, etc 0.72 0.31 0.44 67
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| 15 |
+
Beverages 0.86 0.64 0.73 140
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| 16 |
+
Bleaching, etc. 0.79 0.59 0.68 272
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| 17 |
+
Books 0.83 0.42 0.56 119
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| 18 |
+
Boots, etc 0.93 0.8 0.86 203
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| 19 |
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Boxes, etc 0.78 0.41 0.54 167
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| 20 |
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Brushing, etc 0.88 0.61 0.72 85
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| 21 |
+
Buildings 0.8 0.54 0.65 457
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| 22 |
+
Casks 0.89 0.59 0.71 132
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| 23 |
+
Cements 0.72 0.42 0.53 213
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| 24 |
+
Centrifugal drying 1.0 0.4 0.58 47
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| 25 |
+
Chains 0.85 0.45 0.59 65
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| 26 |
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Chimneys 0.9 0.45 0.6 100
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| 27 |
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Closets 0.81 0.74 0.78 196
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| 28 |
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Coin-feed apparatus 0.0 0.0 0.0 1
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| 29 |
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Cooking, etc 0.79 0.5 0.61 163
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| 30 |
+
Cooling 0.87 0.61 0.72 163
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| 31 |
+
Cutlery 0.86 0.78 0.82 92
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| 32 |
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Cutting 0.58 0.34 0.43 206
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| 33 |
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Distilling 0.61 0.55 0.58 185
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| 34 |
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Drains 0.7 0.58 0.63 102
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| 35 |
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Drying 0.78 0.4 0.53 242
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| 36 |
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Dynamo electric generators 0.89 0.49 0.63 160
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| 37 |
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Electric lamps 0.86 0.87 0.87 111
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| 38 |
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Electric telegraphs 0.96 0.8 0.87 175
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| 39 |
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Electricity conducting 0.88 0.65 0.75 189
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| 40 |
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Electricity measuring 0.86 0.53 0.66 45
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| 41 |
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Electricity regulating 0.69 0.29 0.41 145
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| 42 |
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Electrolysis 0.88 0.24 0.37 59
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| 43 |
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Fabrics, dressing 0.73 0.6 0.66 304
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| 44 |
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Fastenings, dress 0.89 0.75 0.81 252
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| 45 |
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Fastenings, lock 0.94 0.65 0.77 303
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| 46 |
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Fencing 1.0 0.45 0.62 75
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| 47 |
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Filtering 0.69 0.53 0.6 146
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| 48 |
+
Fire extinction 0.89 0.51 0.64 172
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| 49 |
+
Fish 1.0 0.61 0.76 36
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| 50 |
+
Food 0.93 0.57 0.7 99
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| 51 |
+
Fuel, manufacture 0.92 0.63 0.75 210
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| 52 |
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Furnaces 0.75 0.66 0.7 915
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| 53 |
+
Furniture 0.85 0.64 0.73 489
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| 54 |
+
Galvanic batteries 0.85 0.68 0.75 108
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| 55 |
+
Gas distribution 0.88 0.62 0.73 135
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| 56 |
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Gas manufacture 0.8 0.62 0.7 263
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| 57 |
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Glass 0.79 0.45 0.57 73
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| 58 |
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Governors 0.93 0.48 0.64 143
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| 59 |
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Grain 0.82 0.6 0.69 165
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| 60 |
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Grinding and crushing 0.78 0.62 0.69 231
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| 61 |
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Grinding or abrading 0.7 0.39 0.5 145
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| 62 |
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Hand tools 0.69 0.47 0.56 167
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| 63 |
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Harness 0.87 0.67 0.76 148
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| 64 |
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Hats 0.9 0.73 0.8 118
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| 65 |
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Heating 0.71 0.43 0.53 295
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| 66 |
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Hinges 0.75 0.4 0.52 119
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| 67 |
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Hollow-ware 0.79 0.35 0.49 125
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| 68 |
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Horse-shoes 0.96 0.89 0.92 62
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| 69 |
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Hydraulic engineering 0.82 0.59 0.69 199
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| 70 |
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Hydraulic machinery 0.61 0.34 0.43 270
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| 71 |
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India-rubber 0.68 0.32 0.43 188
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| 72 |
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Injectors 0.77 0.2 0.32 84
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| 73 |
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Iron 0.78 0.68 0.73 364
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| 74 |
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Labels 0.82 0.47 0.6 38
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| 75 |
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Lace-making 0.85 0.68 0.75 170
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| 76 |
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Lamps 0.94 0.77 0.85 394
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| 77 |
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Leather 0.89 0.63 0.74 142
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| 78 |
+
Life-saving 0.62 0.63 0.62 38
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| 79 |
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Lifting 0.82 0.51 0.63 313
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| 80 |
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Locomotives 0.81 0.52 0.64 247
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| 81 |
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Mechanism 0.79 0.34 0.48 417
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| 82 |
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Medicine 0.8 0.61 0.69 253
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| 83 |
+
Metals and alloys 0.78 0.52 0.62 343
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| 84 |
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Metals, Cutting, etc 0.82 0.63 0.71 1030
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| 85 |
+
Milking 1.0 0.8 0.89 66
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| 86 |
+
Mining 0.87 0.58 0.7 137
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| 87 |
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Mixing 0.84 0.49 0.61 105
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| 88 |
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Moulding 0.85 0.55 0.67 429
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| 89 |
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Music 0.96 0.9 0.93 143
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| 90 |
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Nails 0.82 0.58 0.68 228
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| 91 |
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Non-metallic elements 0.71 0.43 0.53 140
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| 92 |
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Oils 0.85 0.67 0.75 262
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| 93 |
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Ordnance 0.9 0.69 0.78 162
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| 94 |
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Ornamenting 0.72 0.32 0.44 132
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| 95 |
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Packing 0.85 0.6 0.7 136
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| 96 |
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Paints 0.71 0.47 0.57 189
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| 97 |
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Paper 0.83 0.62 0.71 199
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| 98 |
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Philosophical instruments 0.83 0.72 0.77 256
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| 99 |
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Photography 0.87 0.66 0.75 111
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| 100 |
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Pipes 0.74 0.44 0.55 259
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| 101 |
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Printing, letterpress 0.88 0.68 0.77 247
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| 102 |
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Printing, other 0.81 0.52 0.64 304
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| 103 |
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Pumps 0.78 0.54 0.64 324
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| 104 |
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Railway etc. vehicles 0.85 0.73 0.78 598
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| 105 |
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Railway signals 0.88 0.83 0.85 238
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| 106 |
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Railways, etc. 0.87 0.76 0.81 296
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| 107 |
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Registering 0.83 0.64 0.72 370
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| 108 |
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Road vehicles 0.86 0.55 0.67 327
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| 109 |
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Roads 0.82 0.53 0.64 109
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| 110 |
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Ropes 0.76 0.37 0.5 106
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| 111 |
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Rotary engines 0.8 0.45 0.58 196
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| 112 |
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Sewage 0.76 0.6 0.67 136
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| 113 |
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Sewing 0.93 0.83 0.88 325
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| 114 |
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Ships, Div I 0.88 0.59 0.71 484
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| 115 |
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Ships, Div II 0.91 0.72 0.81 288
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| 116 |
+
Ships, Div III 0.78 0.58 0.67 77
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| 117 |
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Shop accessories 0.77 0.43 0.56 46
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| 118 |
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Sifting 0.65 0.66 0.66 167
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| 119 |
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Signalling 0.7 0.6 0.65 143
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| 120 |
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Small arms 0.94 0.86 0.9 303
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| 121 |
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Spinning 0.94 0.85 0.89 901
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| 122 |
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Starch 0.88 0.34 0.49 104
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| 123 |
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Steam engines 0.77 0.63 0.69 625
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| 124 |
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Steam generators 0.85 0.64 0.73 626
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| 125 |
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Stone 0.83 0.69 0.75 51
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| 126 |
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Stoppering 0.88 0.77 0.82 261
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| 127 |
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Stoves 0.8 0.65 0.72 309
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| 128 |
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Sugar 0.86 0.7 0.77 87
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| 129 |
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Table articles 0.68 0.33 0.45 75
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| 130 |
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Tea 0.94 0.67 0.78 45
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| 131 |
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Tobacco 0.97 0.72 0.82 120
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| 132 |
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Toilet 0.73 0.43 0.54 77
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| 133 |
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Toys 0.88 0.75 0.81 223
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| 134 |
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Trunks 0.76 0.33 0.46 76
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| 135 |
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Umbrellas 0.99 0.77 0.86 107
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| 136 |
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Valves 0.82 0.58 0.68 361
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| 137 |
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Velocipedes 0.96 0.75 0.84 145
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| 138 |
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Ventilation 0.65 0.44 0.53 117
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| 139 |
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Washing 0.86 0.68 0.76 184
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| 140 |
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Watches 0.98 0.64 0.77 136
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| 141 |
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Waterproof fabrics 0.64 0.42 0.51 150
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| 142 |
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Wearing apparel 0.81 0.69 0.74 322
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| 143 |
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Weaving 0.94 0.79 0.86 751
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| 144 |
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Weighing apparatus 0.95 0.66 0.78 56
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| 145 |
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Wheels 0.8 0.39 0.53 145
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| 146 |
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Wood 0.84 0.49 0.62 229
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| 147 |
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Writing instruments 0.84 0.66 0.74 278
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test_set_eval.txt
ADDED
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@@ -0,0 +1,13 @@
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| 1 |
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eval_loss: 0.006695271003991365
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| 2 |
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eval_f1_micro: 0.7000987313947206
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| 3 |
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eval_precision_micro: 0.8337474487532168
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| 4 |
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eval_recall_micro: 0.6033779661561185
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| 5 |
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eval_exact_match_f1: 0.5296143639546045
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| 6 |
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eval_exact_match_precision: 0.5296143639546045
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| 7 |
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eval_exact_match_recall: 0.5296143639546045
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| 8 |
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eval_any_match_f1: 0.9078538761221839
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| 9 |
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eval_any_match_precision: 0.9078538761221839
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| 10 |
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eval_any_match_recall: 0.9078538761221839
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| 11 |
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eval_runtime: 163.2407
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| 12 |
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eval_samples_per_second: 108.496
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| 13 |
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eval_steps_per_second: 1.697
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