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---
language:
- es
license: gpl-3.0
tags:
- generated_from_trainer
model-index:
- name: flisol-cba-martin-fierro
results: []
widget:
- text: "Aqui me pongo a cantar"
example_title: "Martin Fierro"
---
Hugging Face: IA Colaborativa
=============================
En este repositorio estar谩 disponible el c贸digo y modelo que entren茅 para la
charla ["Hugging Face: IA Colaborativa"](https://eventol.flisol.org.ar/events/cordoba2023/activity/378/)
del [FLISoL de C贸rdoba](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 c贸digo est谩 probado con Python 3.10, pero deber铆a funcionar con Python >=
3.8. En los requerimientos est谩 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.
## 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 C贸rdoba](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
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