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license: mit
base_model: DeepESP/gpt2-spanish
tags:
- generated_from_trainer
model-index:
- name: Julio-Cortazar
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. -->
# Julio-Cortazar
This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1217
## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2442 | 1.0 | 177 | 2.2206 |
| 2.1964 | 2.0 | 354 | 2.1716 |
| 2.1064 | 3.0 | 531 | 2.1494 |
| 1.9843 | 4.0 | 708 | 2.1374 |
| 1.9402 | 5.0 | 885 | 2.1312 |
| 1.9309 | 6.0 | 1062 | 2.1264 |
| 1.8384 | 7.0 | 1239 | 2.1227 |
| 1.7512 | 8.0 | 1416 | 2.1221 |
| 1.742 | 9.0 | 1593 | 2.1215 |
| 1.8728 | 10.0 | 1770 | 2.1217 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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