This model is trained on distilbert-base-multilingual-cased & 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 | 0.27 | 0.24 | 0.26 | 99 |
company | 0.67 | 0.70 | 0.68 | 180 |
delivery_cap | 0.00 | 0.00 | 0.00 | 10 |
delivery_location | 0.50 | 0.11 | 0.17 | 38 |
delivery_port | 0.72 | 0.86 | 0.79 | 590 |
delivery_state | 0.74 | 0.29 | 0.42 | 95 |
incoterms | 0.74 | 0.92 | 0.82 | 234 |
measures | 0.88 | 0.94 | 0.91 | 811 |
package_type | 0.78 | 0.92 | 0.84 | 318 |
pickup_cap | 0.69 | 0.96 | 0.80 | 141 |
pickup_location | 0.59 | 0.83 | 0.69 | 442 |
pickup_port | 0.00 | 0.00 | 0.00 | 3 |
pickup_state | 0.73 | 0.85 | 0.79 | 115 |
quantity | 0.85 | 0.88 | 0.86 | 199 |
stackable | 0.60 | 0.36 | 0.45 | 78 |
volume | 0.46 | 0.53 | 0.49 | 79 |
weight | 0.64 | 0.68 | 0.66 | 266 |
micro avg | 0.72 | 0.81 | 0.76 | 3698 |
macro avg | 0.58 | 0.59 | 0.57 | 3698 |
weighted avg | 0.72 | 0.81 | 0.75 | 3698 |