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---
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
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