Update README.md

README.md

@@ -5,6 +5,9 @@ tags:
 model-index:
 - name: schlager-bot-004
   results: []
+license: llama2
+language:
+- de
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -12,22 +15,24 @@ should probably proofread and complete it, then remove this comment. -->
 
 # schlager-bot-004
 
-This model is a fine-tuned version of [LeoLM/leo-hessianai-7b](https://huggingface.co/LeoLM/leo-hessianai-7b) on an unknown dataset.
+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
 
-More information needed
+The model takes a verse (in German) and uses it to generate the text to a schlager song.
 
 ## Intended uses & limitations
 
-More information needed
+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
 
-More information needed
+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:
@@ -42,13 +47,10 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.03
 - num_epochs: 10
 
-### Training results
-
-
 
 ### Framework versions
 
 - Transformers 4.34.0
 - Pytorch 2.1.0+cu118
 - Datasets 2.13.0
-- Tokenizers 0.14.1
+- Tokenizers 0.14.1