---
tags:
- generated_from_trainer
model-index:
- name: uribe-twitter-assistant-30ep
  results: []
widget:
- text: Santos y la Paz
- text: Las Farc son
datasets:
- jhonparra18/alvarouribevel-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. -->

# uribe-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: 3.3026

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.5124        | 0.89  | 1000  | 3.3424          |
| 3.144         | 1.77  | 2000  | 3.2148          |
| 2.9674        | 2.66  | 3000  | 3.1513          |
| 2.8433        | 3.55  | 4000  | 3.1241          |
| 2.7166        | 4.43  | 5000  | 3.1198          |
| 2.6151        | 5.32  | 6000  | 3.1450          |
| 2.5038        | 6.21  | 7000  | 3.1762          |
| 2.4035        | 7.09  | 8000  | 3.2427          |
| 2.2987        | 7.98  | 9000  | 3.2282          |
| 2.1788        | 8.87  | 10000 | 3.3026          |


### Framework versions

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