---
base_model: LeoLM/leo-hessianai-7b
tags:
- generated_from_trainer
model-index:
- name: schlager-bot-004
  results: []
license: llama2
language:
- de
---

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# schlager-bot-004

This model is a fine-tuned version of [LeoLM/leo-hessianai-7b](https://huggingface.co/LeoLM/leo-hessianai-7b) on a dataset of 1048 schlager song lyrics. Schlager songs form a genre of German music and, therefore, the input should be in German as well to ensure best results.

## Model description

The model takes a verse (in German) and uses it to generate the text to a schlager song.

## Intended uses & limitations

This model is not intended for commercial use of any kind as the dataset used for fine-tuning contains propietary information.

## Training and evaluation data

The training and evaluation data was extracted from Spotify via an API.

## Training procedure

The model was fine-tuned using a Google colab notebook with a V100 GPU and High RAM. For details, please see the Github repository (https://github.com/NiclasFenton-Wiegleb/schlager-lyrics-bot/tree/main)

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu118
- Datasets 2.13.0
- Tokenizers 0.14.1