schlager-bot-004

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schlager-bot-004

This model is a fine-tuned version of 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