---
license: mit
tags:
- generated_from_trainer
model-index:
- name: DeepESP-gpt2-spanish-tripadvisor
  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. -->

# DeepESP-gpt2-spanish-tripadvisor

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: 0.5865

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8665        | 1.0   | 2089  | 0.7441          |
| 0.7336        | 2.0   | 4178  | 0.6916          |
| 0.6856        | 3.0   | 6267  | 0.6632          |
| 0.6559        | 4.0   | 8356  | 0.6446          |
| 0.6341        | 5.0   | 10445 | 0.6322          |
| 0.6169        | 6.0   | 12534 | 0.6213          |
| 0.6022        | 7.0   | 14623 | 0.6138          |
| 0.5896        | 8.0   | 16712 | 0.6096          |
| 0.5788        | 9.0   | 18801 | 0.6037          |
| 0.5692        | 10.0  | 20890 | 0.5989          |
| 0.5604        | 11.0  | 22979 | 0.5965          |
| 0.5528        | 12.0  | 25068 | 0.5941          |
| 0.5457        | 13.0  | 27157 | 0.5915          |
| 0.5392        | 14.0  | 29246 | 0.5900          |
| 0.5334        | 15.0  | 31335 | 0.5879          |
| 0.5285        | 16.0  | 33424 | 0.5875          |
| 0.524         | 17.0  | 35513 | 0.5870          |
| 0.5209        | 18.0  | 37602 | 0.5866          |
| 0.5179        | 19.0  | 39691 | 0.5867          |
| 0.5157        | 20.0  | 41780 | 0.5865          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.13.0
- Tokenizers 0.13.3