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README.md
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model-index:
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- name: schlager-bot-004
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# schlager-bot-004
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This model is a fine-tuned version of [LeoLM/leo-hessianai-7b](https://huggingface.co/LeoLM/leo-hessianai-7b) on
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 10
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### Training results
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.13.0
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- Tokenizers 0.14.1
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model-index:
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- name: schlager-bot-004
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results: []
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license: llama2
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language:
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- de
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# schlager-bot-004
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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.
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## Model description
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The model takes a verse (in German) and uses it to generate the text to a schlager song.
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## Intended uses & limitations
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This model is not intended for commercial use of any kind as the dataset used for fine-tuning contains propietary information.
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## Training and evaluation data
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The training and evaluation data was extracted from Spotify via an API.
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## Training procedure
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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)
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### Training hyperparameters
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The following hyperparameters were used during training:
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 10
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.13.0
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- Tokenizers 0.14.1
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