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update model card README.md
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README.md
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del [FLISoL de C贸rdoba](https://cordoba.flisol.org.ar), Argentina, de 2023.
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[`git-lfs`](https://git-lfs.com/).
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$ source ./flisol-venv/bin/activate
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(flisol-venv) $ pip install -r requirements.txt
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3.8. En los requerimientos est谩 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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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: flisol-cba-martin-fierro
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# flisol-cba-martin-fierro
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This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.9067
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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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: 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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