Add contextual information

README.md

@@ -7,6 +7,8 @@ metrics:
 model-index:
 - name: 22_12_13_luther_blocks_larger_fp16_20ep
   results: []
+language:
+- de
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,22 +16,22 @@ should probably proofread and complete it, then remove this comment. -->
 
 # 22_12_13_luther_blocks_larger_fp16_20ep
 
-This model is a fine-tuned version of [stefan-it/german-gpt2-larger](https://huggingface.co/stefan-it/german-gpt2-larger) on an unknown dataset.
+This model is a fine-tuned version of [stefan-it/german-gpt2-larger](https://huggingface.co/stefan-it/german-gpt2-larger) on a dataset of texts by Martin Luther.
 It achieves the following results on the evaluation set:
 - Loss: 3.5847
 - Accuracy: 0.3168
 
 ## Model description
 
-More information needed
+This is a language model used to generate wishes for a happy new year to the readers of "reformiert" a journal in Switzerland (https://www.reformiert.info)
 
 ## Intended uses & limitations
 
-More information needed
+This is to test the capabilities of the GPT-2 transformer architecture.
 
 ## Training and evaluation data
 
-More information needed
+Automatic split of an edited and "cleaned" version of parts of Luther's writing. Cleaning refers here to the process of eliminating para-texts like page numbering, footnotes, etc.
 
 ## Training procedure
 
@@ -70,4 +72,4 @@ The following hyperparameters were used during training:
 - Transformers 4.26.0.dev0
 - Pytorch 1.13.0
 - Datasets 2.7.1
-- Tokenizers 0.12.1
+- Tokenizers 0.12.1