---
tags:
- generated_from_trainer
model-index:
- name: petro-twitter-assistant-30ep
  results: []
widget:
- text: Opino que mi gobierno es
datasets:
- jhonparra18/petro-tweets
language:
- es
---

<!-- 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. -->

# petro-twitter-assistant-30ep

This model is a fine-tuned version of [flax-community/gpt-2-spanish](https://huggingface.co/flax-community/gpt-2-spanish) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8837

## 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: 0.0001
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.123         | 2.3   | 1000  | 3.0761          |
| 2.8048        | 4.6   | 2000  | 3.0394          |
| 2.5904        | 6.9   | 3000  | 3.0743          |
| 2.3804        | 9.2   | 4000  | 3.2378          |
| 2.1736        | 11.49 | 5000  | 3.4025          |
| 1.9736        | 13.79 | 6000  | 3.6284          |
| 1.779         | 16.09 | 7000  | 3.9806          |
| 1.5993        | 18.39 | 8000  | 4.2559          |
| 1.4584        | 20.69 | 9000  | 4.4938          |
| 1.3492        | 22.99 | 10000 | 4.6608          |
| 1.2701        | 25.29 | 11000 | 4.8302          |
| 1.2309        | 27.59 | 12000 | 4.8696          |
| 1.2161        | 29.89 | 13000 | 4.8837          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.1.0
- Tokenizers 0.12.1