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--- |
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language: |
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- es |
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license: gpl-3.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: xi-ciai-cba-martin-fierro |
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results: [] |
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widget: |
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- text: "Aqui me pongo a cantar" |
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example_title: "Martin Fierro" |
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--- |
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Hugging Face: IA Colaborativa |
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============================= |
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En este repositorio estará disponible el código y modelo que entrené para la |
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charla "Hugging Face: IA Colaborativa" |
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del [XI Congreso de Innovación, Ambiente e |
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Ingeniería](https://fcefyn.unc.edu.ar/facultad/secretarias/extension/prosecretaria-de-desarrollo-sostenible/xi-congreso-de-innovacion-ambiente-e-ingenieria/), |
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de la Facultad de Ciencias Exactas, Físicas y Naturales, de la Universidad |
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Nacional de Córdoba, Argentina, en 2023. |
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Para inicializar el setup hace falta tener instalado y activado |
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[`git-lfs`](https://git-lfs.com/). |
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Pueden clonar el repositorio con: |
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$ git clone https://huggingface.co/crscardellino/xi-ciai-cba-martin-fierro |
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Y luego crean el entorno e instalan los requerimientos. |
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$ python -m venv venv |
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$ source ./venv/bin/activate |
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(venv) $ pip install -r requirements.txt |
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El código está probado con Python 3.10, pero debería funcionar con Python >= |
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3.8. En los requerimientos está organizado para instalar |
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[PyTorch](https://pytorch.org/) v2.0.0 para cpu, pero pueden ajustarlo para |
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utilizar GPUs suponiendo que cumplan los requerimientos de CUDA. |
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## Model Specifications (Auto Generated) |
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This model is a fine-tuned version of |
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[DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on the |
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`./data/martin-fierro_train.txt` dataset. It achieves the following results on |
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the evaluation set: |
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- Loss: 3.9067 |
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## Model description |
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GPT-2 model finetuned on the poem ["El Gaucho Martin |
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Fierro"](https://es.wikipedia.org/wiki/El_Gaucho_Mart%C3%ADn_Fierro) |
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## Intended uses & limitations |
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This was trained for the talk "Hugging Face: IA Colaborativa" @ [XI Congreso de |
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Innovación, Ambiente e |
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Ingeniería](https://fcefyn.unc.edu.ar/facultad/secretarias/extension/prosecretaria-de-desarrollo-sostenible/xi-congreso-de-innovacion-ambiente-e-ingenieria/), |
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Argentina, 2023. |
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## Training and evaluation data |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.3864 | 1.0 | 18 | 4.2025 | |
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| 3.948 | 2.0 | 36 | 4.0440 | |
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| 3.7962 | 3.0 | 54 | 3.9804 | |
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| 3.6105 | 4.0 | 72 | 3.9458 | |
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| 3.4444 | 5.0 | 90 | 3.9280 | |
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| 3.3855 | 6.0 | 108 | 3.9192 | |
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| 3.3142 | 7.0 | 126 | 3.9091 | |
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| 3.2192 | 8.0 | 144 | 3.9074 | |
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| 3.1615 | 9.0 | 162 | 3.9070 | |
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| 3.1637 | 10.0 | 180 | 3.9067 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cpu |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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