---
license: apache-2.0
base_model: datificate/gpt2-small-spanish
tags:
- generated_from_trainer
model-index:
- name: rap-clm
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rap-clm

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: 3.9772

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.2062        | 1.0   | 6121  | 4.0747          |
| 4.0714        | 2.0   | 12242 | 3.9980          |
| 4.0246        | 3.0   | 18363 | 3.9772          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0