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---
license: mit
tags:
- generated_from_trainer
model-index:
- name: flisol-cba-martin-fierro
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flisol-cba-martin-fierro
This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9067
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### 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
|