This model is trained on bert-base-uncased & Dataset - https://drive.google.com/file/d/1hyXTTubD9CRjL1MBSIU_iVxFCdtGXqgB/view?usp=sharing & Notebook - https://colab.research.google.com/drive/1zHrs3hosTXBPiy0P1O-x6Z2EQ9RZGUsQ?usp=sharing
precision | recall | f1-score | support | |
---|---|---|---|---|
commodity | 0.50 | 0.44 | 0.47 | 66 |
company | 0.68 | 0.71 | 0.69 | 179 |
delivery_cap | 0.00 | 0.00 | 0.00 | 11 |
delivery_location | 0.50 | 0.08 | 0.14 | 24 |
delivery_port | 0.76 | 0.84 | 0.80 | 369 |
delivery_state | 0.76 | 0.37 | 0.49 | 60 |
incoterms | 0.89 | 0.98 | 0.93 | 207 |
measures | 0.92 | 0.92 | 0.92 | 807 |
package_type | 0.86 | 0.94 | 0.90 | 286 |
pickup_cap | 0.83 | 0.94 | 0.89 | 143 |
pickup_location | 0.65 | 0.73 | 0.69 | 406 |
pickup_port | 0.00 | 0.00 | 0.00 | 5 |
pickup_state | 0.83 | 0.76 | 0.79 | 68 |
quantity | 0.91 | 0.88 | 0.90 | 199 |
stackable | 0.62 | 0.60 | 0.61 | 60 |
volume | 0.57 | 0.70 | 0.63 | 77 |
weight | 0.81 | 0.81 | 0.81 | 303 |
---------------- | ----------- | -------- | ---------- | --------- |
micro avg | 0.80 | 0.83 | 0.81 | 3270 |
macro avg | 0.65 | 0.63 | 0.63 | 3270 |
weighted avg | 0.80 | 0.83 | 0.81 | 3270 |