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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: model_5M_base |
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results: [] |
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--- |
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# model_5M_base |
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This model is a fine-tuned version of [gsarti/it5-base](https://huggingface.co/gsarti/it5-base) on a dataset of Common Procurement Vocabulary (CPV) codes. |
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## Model description |
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The model is trained on 3.2M pairs of Italian tender descriptions and the corresponding CPV code. |
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Here an example: |
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> {"source": "lavori lavori di pavimentazione delle vie san martino e santa Maddalena", "target": "45262321-7 - lavori di pavimentazione"} |
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## Intended uses & limitations |
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This model can generate a CPV code given an Italian tender description. |
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## Training and evaluation data |
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Training data are taken form the [ANAC website](https://dati.anticorruzione.it/opendata). |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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