---
license: openrail
language:
- it
metrics:
- perplexity
---

# cicero-gpt2

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GroNLP/gpt2-small-italian version fine-tuned with italian civil judgments. 

## Model Details

### Model Description

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- **Developed by:** Marco Calamo, Francesca De Luzi, Mattia Macrì, Tommaso Mencattini, Massimo Mecella
- **Model type:** gpt2-small-italian
- **Language(s) (NLP):** italian
- **License:** openrail
- **Finetuned from model:** [GroNLP/gpt-2-small](https://huggingface.co/GroNLP/gpt2-small-italian)
- 
### Model Sources

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- **Repository:** [Github](https://github.com/MattiaMacri/Cicero)
- **Paper [optional]:** [More Information Needed]

## Uses

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### Direct Use

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Used to generate part of sentences based upon user input. All sensible data are hidden by design.

## How to Get Started with the Model

Use the code below to get started with the model.

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## Training Details

### Training Data

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### Training Procedure 

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#### Preprocessing [optional]

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#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

#### Speeds, Sizes, Times [optional]

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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#### Metrics

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### Results

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#### Summary



## Model Examination [optional]

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## Environmental Impact

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- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]

## Technical Specifications [optional]

### Model Architecture and Objective

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### Compute Infrastructure

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#### Hardware

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#### Software

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## Citation [optional]

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**BibTeX:**

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**APA:**

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## Glossary [optional]

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## More Information [optional]

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## Model Card Authors [optional]

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## Model Card Contact

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