---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: model_5M
  results: []
---

# model_5M

This model is a fine-tuned version of [gsarti/it5-large](https://huggingface.co/gsarti/it5-large) on a dataset of Common Procurement Vocabulary (CPV) codes.

## Model description

The model is trained on 3.2M pairs of Italian tender descriptions and the corresponding CPV code.

Here an example:

> {"source": "lavori lavori di pavimentazione delle vie san martino e santa Maddalena", "target": "45262321-7 - lavori di pavimentazione"}

## Intended uses & limitations

This model can generate a CPV code given an Italian tender description.

## Training and evaluation data

Training data are taken form the [ANAC website](https://dati.anticorruzione.it/opendata).

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2