| | --- |
| | library_name: transformers |
| | tags: |
| | - administrative |
| | - public_administration |
| | datasets: |
| | - mteb/ItaCaseholdClassification |
| | language: |
| | - it |
| | metrics: |
| | - f1 |
| | base_model: |
| | - dbmdz/bert-base-italian-cased |
| | pipeline_tag: text-classification |
| | --- |
| | |
| | # Model Card for Model ID |
| |
|
| | The model is a Bert fine-tuned to do Text Classification on relevant categories for the Italian Public administration. |
| |
|
| |
|
| | ## Model Details |
| |
|
| | ### Model Description |
| |
|
| | <!-- Provide a longer summary of what this model is. --> |
| |
|
| | The model is a Bert fine-tuned to do Text Classification on relevant categories for the Italian Public administration. This has been done for the [LLMs Anatomy](https://github.com/michelepapucci/llms-anatomy-course) course laboratory taught by [Michele Papucci](https://michelepapucci.github.io/) for the University of Pisa. |
| |
|
| | - **Developed by:** [Michele Papucci](https://michelepapucci.github.io/) |
| | - **Model type:** BERT |
| | - **Language(s) (NLP):** Italian |
| | - **Finetuned from model [dbmdz/bert-base-italian-cased](dbmdz/bert-base-italian-cased):** Using [mteb/ItaCaseholdClassification](mteb/ItaCaseholdClassification) |
| |
|
