---
tags:
- generated_from_trainer
model-index:
- name: petro-twitter-assistant-30ep-large
  results: []
widget:
- text: Nuestro gobierno es
- text: El pacto de la picota es
datasets:
- jhonparra18/petrogustavo-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-large

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: 3.3050

## 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: 22
- eval_batch_size: 22
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 44
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.4824        | 0.73  | 1000  | 3.3659          |
| 3.2393        | 1.46  | 2000  | 3.2667          |
| 3.113         | 2.19  | 3000  | 3.2174          |
| 3.0121        | 2.92  | 4000  | 3.1767          |
| 2.9076        | 3.65  | 5000  | 3.1619          |
| 2.8358        | 4.38  | 6000  | 3.1665          |
| 2.7708        | 5.11  | 7000  | 3.1874          |
| 2.6846        | 5.84  | 8000  | 3.1695          |
| 2.6092        | 6.57  | 9000  | 3.2114          |
| 2.5487        | 7.3   | 10000 | 3.2517          |
| 2.4942        | 8.04  | 11000 | 3.3050          |


### Framework versions

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