---
license: mit
tags:
- generated_from_trainer
model-index:
- name: spanish-gpt2-finetuned-rap-lyrics-finetuned-biblia
  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. -->

# spanish-gpt2-finetuned-rap-lyrics-finetuned-biblia

This model is a fine-tuned version of [Narrativa/spanish-gpt2-finetuned-rap-lyrics](https://huggingface.co/Narrativa/spanish-gpt2-finetuned-rap-lyrics) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4397

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 204  | 2.4920          |
| No log        | 2.0   | 408  | 2.4472          |
| 2.5092        | 3.0   | 612  | 2.4397          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3