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---
license: mit
tags:
- generated_from_trainer
model-index:
- name: spanish-gpt2-finetuned-rap-lyrics-finetuned-TASS2020
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-TASS2020
This model is a fine-tuned version of [Narrativa/spanish-gpt2-finetuned-rap-lyrics](https://huggingface.co/Narrativa/spanish-gpt2-finetuned-rap-lyrics) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2864
## 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 | 100 | 5.3694 |
| No log | 2.0 | 200 | 5.3025 |
| No log | 3.0 | 300 | 5.2864 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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