
Hugging Face: IA Colaborativa
=============================

En este repositorio estará disponible el código y modelo que entrené para la
charla ["Hugging Face: IA Colaborativa"](https://eventol.flisol.org.ar/events/cordoba2023/activity/378/)
del [FLISoL de Córdoba](https://cordoba.flisol.org.ar), Argentina, de 2023.

Para inicializar el setup hace falta tener instalado y activado
[`git-lfs`](https://git-lfs.com/).

Pueden clonar el repositorio con:

    $ git clone https://huggingface.co/crscardellino/flisol-cba-martin-fierro

Y luego crean el entorno e instalan los requerimientos.

    $ python -m venv flisol-venv
    $ source ./flisol-venv/bin/activate
    (flisol-venv) $ pip install -r requirements.txt

El código está probado con Python 3.10, pero debería funcionar con Python >=
3.8. En los requerimientos está organizado para instalar
[PyTorch](https://pytorch.org/) v2.0.0 para cpu, pero pueden ajustarlo para
utilizar GPUs suponiendo que cumplan los requerimientos de CUDA.

## License

    flisol-cba-martin-fierro
    Copyright (C) 2023 Cristian Cardellino

    This program is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    This program is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with this program.  If not, see <https://www.gnu.org/licenses/>.

## Model Specifications (Auto Generated)

This model is a fine-tuned version of
[DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on the
`./data/martin-fierro_train.txt` dataset.  It achieves the following results on
the evaluation set:

- Loss: 3.9067

## Model description

GPT-2 model finetuned on the poem ["El Gaucho Martin
Fierro"](https://es.wikipedia.org/wiki/El_Gaucho_Mart%C3%ADn_Fierro)

## Intended uses & limitations

This was trained for the talk ["Hugging Face: IA
Colaborativa"](https://eventol.flisol.org.ar/events/cordoba2023/activity/378/) @
[FLISoL de Córdoba](https://cordoba.flisol.org.ar), Argentina, 2023.

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.3864        | 1.0   | 18   | 4.2025          |
| 3.948         | 2.0   | 36   | 4.0440          |
| 3.7962        | 3.0   | 54   | 3.9804          |
| 3.6105        | 4.0   | 72   | 3.9458          |
| 3.4444        | 5.0   | 90   | 3.9280          |
| 3.3855        | 6.0   | 108  | 3.9192          |
| 3.3142        | 7.0   | 126  | 3.9091          |
| 3.2192        | 8.0   | 144  | 3.9074          |
| 3.1615        | 9.0   | 162  | 3.9070          |
| 3.1637        | 10.0  | 180  | 3.9067          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cpu
- Datasets 2.11.0
- Tokenizers 0.13.3

{"language": ["es"], "license": "gpl-3.0", "tags": ["generated_from_trainer"], "widget": [{"text": "Aqui me pongo a cantar", "example_title": "Martin Fierro"}], "model-index": [{"name": "flisol-cba-martin-fierro", "results": []}]}
transformers pytorch gpt2 text-generation generated_from_trainer es license:gpl-3.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #es #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

Hugging Face: IA Colaborativa
=============================


En este repositorio estará disponible el código y modelo que entrené para la
charla "Hugging Face: IA Colaborativa"
del FLISoL de Córdoba, Argentina, de 2023.


Para inicializar el setup hace falta tener instalado y activado
'git-lfs'.


Pueden clonar el repositorio con:



```
$ git clone URL

```

Y luego crean el entorno e instalan los requerimientos.



```
$ python -m venv flisol-venv
$ source ./flisol-venv/bin/activate
(flisol-venv) $ pip install -r URL

```

El código está probado con Python 3.10, pero debería funcionar con Python >=
3.8. En los requerimientos está organizado para instalar
PyTorch v2.0.0 para cpu, pero pueden ajustarlo para
utilizar GPUs suponiendo que cumplan los requerimientos de CUDA.


License
-------



```
flisol-cba-martin-fierro
Copyright (C) 2023 Cristian Cardellino

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <URL

```

Model Specifications (Auto Generated)
-------------------------------------


This model is a fine-tuned version of
DeepESP/gpt2-spanish on the
'./data/martin-fierro\_train.txt' dataset. It achieves the following results on
the evaluation set:


* Loss: 3.9067


Model description
-----------------


GPT-2 model finetuned on the poem "El Gaucho Martin
Fierro"


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


This was trained for the talk "Hugging Face: IA
Colaborativa" @
FLISoL de Córdoba, Argentina, 2023.


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 4.28.1
* Pytorch 2.0.0+cpu
* Datasets 2.11.0
* Tokenizers 0.13.3



### 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 4.28.1
* Pytorch 2.0.0+cpu
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #es #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #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 4.28.1
* Pytorch 2.0.0+cpu
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #es #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #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 4.28.1
* Pytorch 2.0.0+cpu
* Datasets 2.11.0
* Tokenizers 0.13.3