Update README.md

README.md

@@ -31,13 +31,14 @@ model-index:
       - type: "perplexity"        # Required. Example: wer. Use metric id from https://hf.co/metrics
         value: "46.69"      # Required. Example: 20.90
 ---
+## LuxGPT-2 
 
 GPT-2 model for Text Generation in luxembourgish language, trained on 636.8 MB of text data, consisting of RTL.lu news articles, comments, parlament speeches, the luxembourgish Wikipedia, Newscrawl, Webcrawl and subtitles.
 The training took place on a 32 GB Nvidia Tesla V100
-with an initial learning rate of 5e-5
-with Batch size 4
-for 109 hours
-for 30 epochs
+- with an initial learning rate of 5e-5
+- with Batch size 4
+- for 109 hours
+- for 30 epochs
 
 ## Usage
 ```python
@@ -48,6 +49,6 @@ tokenizer = AutoTokenizer.from_pretrained("laurabernardy/LuxGPT2", use_auth_toke
 model = AutoModelForCausalLM.from_pretrained("laurabernardy/LuxGPT2", use_auth_token=True)
 ```
 
-##Limitations and Biases
+## Limitations and Biases
 
 See the [GPT2 model card](https://huggingface.co/gpt2) for considerations on limitations and bias. See the [GPT2 documentation](https://huggingface.co/transformers/model_doc/gpt2.html) for details on GPT2.