Create README.md

README.md

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+---
+license: apache-2.0
+tags:
+- eu
+- public procurement
+- cpv
+- sector
+- multilingual
+widget:
+- text: "This is a sample public procurement description text."
+---
+
+# multilingual-cpv-sector-classifier
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the Tenders Economic Daily Public Procurement Data.
+It achieves the following results on the evaluation set:
+- Loss: 0.1574
+- F1 Score: 0.686
+
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- num_epochs: 3
+- gradient_accumulation_steps: 8
+- batch_size_per_device: 4
+- total_train_batch_size: 32
+
+### Training results
+| Epoch |  Step  | Validation Loss | Accuracy |
+|:-----:|:------:|:---------------:|:--------:|
+| 1.0   | 18,609 | 0.2172          | 0.630    |
+| 2.0   | 37,218 | 0.0092          | 0.674    |
+| 3.0   | 55,827 | 0.1574          | 0.686    |