This model is trained on bert-base-multilingual-uncased & Dataset - https://drive.google.com/file/d/1hyXTTubD9CRjL1MBSIU_iVxFCdtGXqgB/view?usp=sharing Notebook - https://colab.research.google.com/drive/1zHrs3hosTXBPiy0P1O-x6Z2EQ9RZGUsQ?usp=sharing

Label Precision Recall F1-Score Support
client_reference 0.44 0.68 0.54 22
contact_email 0.72 0.65 0.68 43
contact_phone 0.79 0.77 0.78 165
delivery_address 0.59 0.60 0.59 85
delivery_city 0.78 0.80 0.79 223
delivery_date 0.59 0.67 0.63 33
delivery_name 0.72 0.83 0.77 281
delivery_province 0.77 0.79 0.78 34
delivery_state 0.87 0.86 0.86 114
delivery_zipcode 0.81 0.89 0.85 210
goods_value 0.50 0.33 0.40 15
incoterms 0.73 0.87 0.80 38
item_measures_body 0.94 0.93 0.93 617
item_numpack_body 0.77 0.84 0.80 163
item_pack_type 0.83 0.90 0.86 220
item_stackable 0.93 0.79 0.85 52
item_volume_body 0.89 0.85 0.87 47
item_weight_body 0.90 0.76 0.83 72
item_weight_body_measure_unit 0.87 0.88 0.87 83
numpack_tot 0.81 0.81 0.81 108
pick_up_date 0.84 0.93 0.88 132
pickup_address 0.66 0.74 0.70 98
pickup_city 0.85 0.82 0.83 234
pickup_name 0.84 0.80 0.82 215
pickup_province 0.92 0.93 0.92 70
pickup_state 0.94 0.58 0.71 26
pickup_zipcode 0.88 0.85 0.86 205
tot_pack_dimension 0.76 0.83 0.80 290
tot_pack_type 0.84 0.84 0.84 195
volumes_tot 0.88 0.94 0.91 31
weight_measure_unit 0.91 0.94 0.92 143
weight_tot 0.90 0.91 0.91 176
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micro avg 0.82 0.85 0.83 4440
macro avg 0.80 0.80 0.79 4440
weighted avg 0.83 0.85 0.83 4440