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
Label | Precision | Recall | F1-Score | Support |
---|---|---|---|---|
commodity | 0.50 | 0.50 | 0.50 | 66 |
company | 0.79 | 0.87 | 0.83 | 164 |
delivery_cap | 0.00 | 0.00 | 0.00 | 10 |
delivery_location | 0.58 | 0.27 | 0.37 | 26 |
delivery_port | 0.88 | 0.90 | 0.89 | 332 |
delivery_state | 0.80 | 0.82 | 0.81 | 45 |
incoterms | 0.88 | 0.97 | 0.92 | 187 |
measures | 0.91 | 0.96 | 0.94 | 802 |
package_type | 0.89 | 0.96 | 0.92 | 292 |
pickup_cap | 0.83 | 0.97 | 0.90 | 139 |
pickup_location | 0.77 | 0.92 | 0.84 | 356 |
pickup_port | 0.00 | 0.00 | 0.00 | 3 |
pickup_state | 0.83 | 0.82 | 0.83 | 67 |
quantity | 0.93 | 0.90 | 0.92 | 199 |
stackable | 0.91 | 0.84 | 0.87 | 57 |
volume | 0.46 | 0.67 | 0.55 | 69 |
weight | 0.81 | 0.83 | 0.82 | 247 |
-------------------- | ----------- | -------- | ---------- | --------- |
micro avg | 0.84 | 0.90 | 0.87 | 3061 |
macro avg | 0.69 | 0.72 | 0.70 | 3061 |
weighted avg | 0.84 | 0.90 | 0.87 | 3061 |