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# roberta-finetuned-CPV_Spanish

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on a dataset derived from Spanish Public Procurement documents from 2019. The whole fine-tuning process is available in the following [Kaggle notebook](https://www.kaggle.com/code/marianavasloro/fine-tuned-roberta-for-spanish-cpv-codes).

It achieves the following results on the evaluation set:
- Loss: 0.0465
- F1: 0.7918
- Roc Auc: 0.8860
- Accuracy: 0.7376
- Coverage Error: 10.2744
- Label Ranking Average Precision Score: 0.7973

## Intended uses & limitations

This model only predicts the first two digits of the CPV codes. The list of divisions CPV codes is the following:

| Division |                                                      English                                                     | Spanish                                                                                                                                            |   |   |   |
|----------|:----------------------------------------------------------------------------------------------------------------:|----------------------------------------------------------------------------------------------------------------------------------------------------|:-:|:-:|:-:|
| 03       |  Agricultural, farming, fishing, forestry and   related products                                                 |  Productos de la agricultura, ganadería,   pesca, silvicultura y productos afines                                                                  |   |   |   |
| 09       |  Petroleum products, fuel,   electricity and other sources of energy                                             |  Derivados del petróleo,   combustibles, electricidad y otras fuentes de energía                                                                   |   |   |   |
| 14       |  Mining, basic metals and related   products                                                                     |  Productos de la minería, de   metales de base y productos afines                                                                                  |   |   |   |
| 15       |  Food, beverages, tobacco and   related products                                                                 |  Alimentos, bebidas, tabaco y   productos afines                                                                                                   |   |   |   |
| 16       |  Agricultural machinery                                                                                          |  Maquinaria agrícola                                                                                                                               |   |   |   |
| 18       |  Clothing, footwear, luggage   articles and accessories                                                          |  Prendas de vestir, calzado,   artículos de viaje y accesorios                                                                                     |   |   |   |
| 19       |  Leather and textile fabrics,   plastic and rubber materials                                                     |  Piel y textiles, materiales de   plástico y caucho                                                                                                |   |   |   |
| 22       |  Printed matter and related   products                                                                           |  Impresos y productos relacionados                                                                                                                 |   |   |   |
| 24       |  Chemical products                                                                                               |  Productos químicos                                                                                                                                |   |   |   |
| 30       |  Office and computing machinery,   equipment and supplies except furniture and software packages                 |  Máquinas, equipo y artículos de   oficina y de informática, excepto mobiliario y paquetes de software                                             |   |   |   |
| 31       |  Electrical machinery, apparatus,   equipment and consumables; lighting                                          |  Máquinas, aparatos, equipo y   productos consumibles eléctricos; iluminación                                                                      |   |   |   |
| 32       |  Radio, television, communication,   telecommunication and related equipment                                     |  Equipos de radio, televisión,   comunicaciones y telecomunicaciones y equipos conexos                                                             |   |   |   |
| 33       |  Medical equipments,   pharmaceuticals and personal care products                                                |  Equipamiento y artículos médicos,   farmacéuticos y de higiene personal                                                                           |   |   |   |
| 34       |  Transport equipment and auxiliary   products to transportation                                                  |  Equipos de transporte y productos   auxiliares                                                                                                    |   |   |   |
| 35       |  Security, fire                                                                                                  |  Equipo de seguridad, extinción de   incendios, policía y defensa                                                                                  |   |   |   |
| 37       |  Musical instruments, sport goods,   games, toys, handicraft, art materials and accessories                      |  Instrumentos musicales, artículos   deportivos, juegos, juguetes, artículos de artesanía, materiales artísticos y   accesorios                    |   |   |   |
| 38       |  Laboratory, optical and precision   equipments (excl. glasses)                                                  |  Equipo de laboratorio, óptico y de   precisión (excepto gafas)                                                                                    |   |   |   |
| 39       |  Furniture (incl. office   furniture), furnishings, domestic appliances (excl. lighting) and cleaning   products |  Mobiliario (incluido el de   oficina), complementos de mobiliario, aparatos electrodomésticos (excluida la   iluminación) y productos de limpieza |   |   |   |
| 41       |  Collected and purified water                                                                                    |  Agua recogida y depurada                                                                                                                          |   |   |   |
| 42       |  Industrial machinery                                                                                            |  Maquinaria industrial                                                                                                                             |   |   |   |
| 43       |  Machinery for mining, quarrying,   construction equipment                                                       |  Maquinaria para la minería y la   explotación de canteras y equipo de construcción                                                                |   |   |   |
| 44       |  Construction structures and   materials; auxiliary products to construction (except electric apparatus)         |  Estructuras y materiales de   construcción; productos auxiliares para la construcción (excepto aparatos   eléctricos)                             |   |   |   |
| 45       |  Construction work                                                                                               |  Trabajos de construcción                                                                                                                          |   |   |   |
| 48       |  Software package and information   systems                                                                      |  Paquetes de software y sistemas de   información                                                                                                  |   |   |   |
| 50       |  Repair and maintenance services                                                                                 |  Servicios de reparación y   mantenimiento                                                                                                         |   |   |   |
| 51       |  Installation services (except   software)                                                                       |  Servicios de instalación (excepto   software)                                                                                                     |   |   |   |
| 55       |  Hotel, restaurant and retail trade   services                                                                   |  Servicios comerciales al por menor   de hostelería y restauración                                                                                 |   |   |   |
| 60       |  Transport services (excl. Waste   transport)                                                                    |  Servicios de transporte (excluido   el transporte de residuos)                                                                                    |   |   |   |
| 63       |  Supporting and auxiliary transport   services; travel agencies services                                         |  Servicios de transporte   complementarios y auxiliares; servicios de agencias de viajes                                                           |   |   |   |
| 64       |  Postal and telecommunications   services                                                                        |  Servicios de correos y   telecomunicaciones                                                                                                       |   |   |   |
| 65       |  Public utilities                                                                                                |  Servicios públicos                                                                                                                                |   |   |   |
| 66       |  Financial and insurance services                                                                                |  Servicios financieros y de seguros                                                                                                                |   |   |   |
| 70       |  Real estate services                                                                                            |  Servicios inmobiliarios                                                                                                                           |   |   |   |
| 71       |  Architectural, construction,   engineering and inspection services                                              |  Servicios de arquitectura,   construcción, ingeniería e inspección                                                                                |   |   |   |
| 72       |  IT services: consulting, software   development, Internet and support                                           |  Servicios TI: consultoría,   desarrollo de software, Internet y apoyo                                                                             |   |   |   |
| 73       |  Research and development services   and related consultancy services                                            |  Servicios de investigación y   desarrollo y servicios de consultoría conexos                                                                      |   |   |   |
| 75       |  Administration, defence and social   security services                                                          |  Servicios de administración   pública, defensa y servicios de seguridad social                                                                    |   |   |   |
| 76       |  Services related to the oil and   gas industry                                                                  |  Servicios relacionados con la   industria del gas y del petróleo                                                                                  |   |   |   |
| 77       |  Agricultural, forestry,   horticultural, aquacultural and apicultural services                                  |  Servicios agrícolas, forestales,   hortícolas, acuícolas y apícolas                                                                               |   |   |   |
| 79       |  Business services: law, marketing,   consulting, recruitment, printing and security                             |  Servicios a empresas: legislación,   mercadotecnia, asesoría, selección de personal, imprenta y seguridad                                         |   |   |   |
| 80       |  Education and training services                                                                                 |  Servicios de enseñanza y formación                                                                                                                |   |   |   |
| 85       |  Health and social work services                                                                                 |  Servicios de salud y asistencia   social                                                                                                          |   |   |   |
| 90       |  Sewage, refuse, cleaning and   environmental services                                                           |  Servicios de alcantarillado,   basura, limpieza y medio ambiente                                                                                  |   |   |   |
| 92       |  Recreational, cultural and   sporting services                                                                  |  Servicios de esparcimiento,   culturales y deportivos                                                                                             |   |   |   |
| 98       |  Other community, social and   personal services                                                                 |  Otros servicios comunitarios,   sociales o personales                                                                                             |   |   |   |

## Training and evaluation data

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy | Coverage Error | Label Ranking Average Precision Score |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|:--------------:|:-------------------------------------:|
| 0.0354        | 1.0   | 9054  | 0.0362          | 0.7560 | 0.8375  | 0.6963   | 14.0835        | 0.7357                                |
| 0.0311        | 2.0   | 18108 | 0.0331          | 0.7756 | 0.8535  | 0.7207   | 12.7880        | 0.7633                                |
| 0.0235        | 3.0   | 27162 | 0.0333          | 0.7823 | 0.8705  | 0.7283   | 11.5179        | 0.7811                                |
| 0.0157        | 4.0   | 36216 | 0.0348          | 0.7821 | 0.8699  | 0.7274   | 11.5836        | 0.7798                                |
| 0.011         | 5.0   | 45270 | 0.0377          | 0.7799 | 0.8787  | 0.7239   | 10.9173        | 0.7841                                |
| 0.008         | 6.0   | 54324 | 0.0395          | 0.7854 | 0.8787  | 0.7309   | 10.9042        | 0.7879                                |
| 0.0042        | 7.0   | 63378 | 0.0421          | 0.7872 | 0.8823  | 0.7300   | 10.5687        | 0.7903                                |
| 0.0025        | 8.0   | 72432 | 0.0439          | 0.7884 | 0.8867  | 0.7305   | 10.2220        | 0.7934                                |
| 0.0015        | 9.0   | 81486 | 0.0456          | 0.7889 | 0.8872  | 0.7316   | 10.1781        | 0.7945                                |
| 0.001         | 10.0  | 90540 | 0.0465          | 0.7918 | 0.8860  | 0.7376   | 10.2744        | 0.7973                                |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.1
- Datasets 1.18.4
- Tokenizers 0.11.6


### Aknowledgments

This work has been supported by NextProcurement European Action (grant agreement INEA/CEF/ICT/A2020/2373713-Action 2020-ES-IA-0255) and the Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with Universidad Politécnica de Madrid in the line Support for R&D projects for Beatriz Galindo researchers, in the context of the V PRICIT (Regional Programme of Research and Technological Innovation). We also acknowledge the participation of Jennifer Tabita for the preparation of the initial set of notebooks, and the AI4Gov master students from the first cohort for their validation of the approach. Source of the data: Ministerio de Hacienda.
{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "model-index": [{"name": "roberta-finetuned-CPV_Spanish", "results": []}]}
transformers pytorch tensorboard roberta text-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #roberta #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

roberta-finetuned-CPV\_Spanish
==============================


This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on a dataset derived from Spanish Public Procurement documents from 2019. The whole fine-tuning process is available in the following Kaggle notebook.


It achieves the following results on the evaluation set:


* Loss: 0.0465
* F1: 0.7918
* Roc Auc: 0.8860
* Accuracy: 0.7376
* Coverage Error: 10.2744
* Label Ranking Average Precision Score: 0.7973


Intended uses & limitations
---------------------------


This model only predicts the first two digits of the CPV codes. The list of divisions CPV codes is the following:



Training and evaluation data
----------------------------


### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10


### Training results



### Framework versions


* Transformers 4.16.2
* Pytorch 1.9.1
* Datasets 1.18.4
* Tokenizers 0.11.6


### Aknowledgments


This work has been supported by NextProcurement European Action (grant agreement INEA/CEF/ICT/A2020/2373713-Action 2020-ES-IA-0255) and the Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with Universidad Politécnica de Madrid in the line Support for R&D projects for Beatriz Galindo researchers, in the context of the V PRICIT (Regional Programme of Research and Technological Innovation). We also acknowledge the participation of Jennifer Tabita for the preparation of the initial set of notebooks, and the AI4Gov master students from the first cohort for their validation of the approach. Source of the data: Ministerio de Hacienda.



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.16.2
* Pytorch 1.9.1
* Datasets 1.18.4
* Tokenizers 0.11.6 ### Aknowledgments


This work has been supported by NextProcurement European Action (grant agreement INEA/CEF/ICT/A2020/2373713-Action 2020-ES-IA-0255) and the Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with Universidad Politécnica de Madrid in the line Support for R&D projects for Beatriz Galindo researchers, in the context of the V PRICIT (Regional Programme of Research and Technological Innovation). We also acknowledge the participation of Jennifer Tabita for the preparation of the initial set of notebooks, and the AI4Gov master students from the first cohort for their validation of the approach. Source of the data: Ministerio de Hacienda.
TAGS
#transformers #pytorch #tensorboard #roberta #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.16.2
* Pytorch 1.9.1
* Datasets 1.18.4
* Tokenizers 0.11.6 ### Aknowledgments


This work has been supported by NextProcurement European Action (grant agreement INEA/CEF/ICT/A2020/2373713-Action 2020-ES-IA-0255) and the Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with Universidad Politécnica de Madrid in the line Support for R&D projects for Beatriz Galindo researchers, in the context of the V PRICIT (Regional Programme of Research and Technological Innovation). We also acknowledge the participation of Jennifer Tabita for the preparation of the initial set of notebooks, and the AI4Gov master students from the first cohort for their validation of the approach. Source of the data: Ministerio de Hacienda.
passage: TAGS
#transformers #pytorch #tensorboard #roberta #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10### Training results### Framework versions


* Transformers 4.16.2
* Pytorch 1.9.1
* Datasets 1.18.4
* Tokenizers 0.11.6### Aknowledgments


This work has been supported by NextProcurement European Action (grant agreement INEA/CEF/ICT/A2020/2373713-Action 2020-ES-IA-0255) and the Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with Universidad Politécnica de Madrid in the line Support for R&D projects for Beatriz Galindo researchers, in the context of the V PRICIT (Regional Programme of Research and Technological Innovation). We also acknowledge the participation of Jennifer Tabita for the preparation of the initial set of notebooks, and the AI4Gov master students from the first cohort for their validation of the approach. Source of the data: Ministerio de Hacienda.