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  <!-- Provide a quick summary of what the model is/does. -->
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  ## Model Details
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  - **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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  - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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  - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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  ### Model Sources [optional]
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  <!-- Provide a quick summary of what the model is/does. -->
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+ ## Validation Loss and Accuracy report:
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+ * **Validation Loss:** 0.11179830832788
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+ * **Validation Accuracy:** 0.9352647152068487
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+ ## Classification Report
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+ | | **Precision** | **Recall** | **F1-Score** | **Support** |
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+ |-------------------|-----------|--------|----------|---------|
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+ | commodity | 0.78 | 0.73 | 0.75 | 86 |
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+ | company | 0.76 | 0.80 | 0.78 | 230 |
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+ | delivery_location| 0.65 | 0.41 | 0.50 | 32 |
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+ | delivery_port | 0.69 | 0.89 | 0.78 | 309 |
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+ | delivery_state | 0.71 | 0.63 | 0.67 | 82 |
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+ | incoterms | 0.77 | 0.88 | 0.82 | 117 |
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+ | measures | 0.77 | 0.84 | 0.80 | 629 |
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+ | package_type | 0.95 | 0.94 | 0.95 | 286 |
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+ | pickup_cap | 0.86 | 0.93 | 0.90 | 107 |
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+ | pickup_location | 0.71 | 0.77 | 0.74 | 356 |
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+ | pickup_port | 0.45 | 0.42 | 0.43 | 12 |
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+ | pickup_state | 0.68 | 0.75 | 0.71 | 71 |
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+ | quantity | 0.78 | 0.91 | 0.84 | 154 |
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+ | stackable | 0.94 | 0.98 | 0.96 | 61 |
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+ | total_quantity | 0.86 | 0.60 | 0.71 | 10 |
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+ | total_volume | 0.86 | 0.46 | 0.60 | 13 |
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+ | total_weight | 0.68 | 0.81 | 0.74 | 136 |
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+ | volume | 0.60 | 0.72 | 0.65 | 43 |
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+ | weight | 0.67 | 0.58 | 0.62 | 114 |
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+ | | | | | |
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+ | Micro Avg | 0.76 | 0.82 | 0.79 | 2848 |
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+ | Macro Avg | 0.75 | 0.74 | 0.73 | 2848 |
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+ | Weighted Avg | 0.76 | 0.82 | 0.79 | 2848 |
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  ## Model Details
 
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  - **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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  - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** Italian/English
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  - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** microsoft/deberta-base
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  ### Model Sources [optional]
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