---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: gpt2-small-spanish-disco-poetry
  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. -->

# gpt2-small-spanish-disco-poetry

This model is a fine-tuned version of [datificate/gpt2-small-spanish](https://huggingface.co/datificate/gpt2-small-spanish) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2471

## 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: 6
- eval_batch_size: 6
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.7329        | 1.0   | 750  | 4.4635          |
| 4.4445        | 2.0   | 1500 | 4.3703          |
| 4.3344        | 3.0   | 2250 | 4.3262          |
| 4.2352        | 4.0   | 3000 | 4.3045          |
| 4.1714        | 5.0   | 3750 | 4.2821          |
| 4.1034        | 6.0   | 4500 | 4.2619          |
| 4.0668        | 7.0   | 5250 | 4.2554          |
| 4.0322        | 8.0   | 6000 | 4.2515          |
| 4.0163        | 9.0   | 6750 | 4.2489          |
| 4.0011        | 10.0  | 7500 | 4.2471          |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6