Update README.md

README.md

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 # What is this?
 
-A GPT-2 model (small version, ~354 M parameters) for Danish text generation. The model was not pre-trained from scratch but adapted from the English version using [CLP-Transfer](https://arxiv.org/abs/2301.09626).
+A GPT-2 model (medium version, ~354 M parameters) for Danish text generation. The model was not pre-trained from scratch but adapted from the English version using [CLP-Transfer](https://arxiv.org/abs/2301.09626).
 
 # How to use
 
@@ -35,11 +35,11 @@ model = AutoModelForCausalLM.from_pretrained("KennethTM/gpt2-medium-danish")
 
 # Model training
 
-The model is trained using the Danish part of the [oscar dataset](https://huggingface.co/datasets/oscar) ('unshuffled_deduplicated_da') and a context length of 1024 tokens.
+The training data are the Danish part of the [oscar dataset](https://huggingface.co/datasets/oscar) ('unshuffled_deduplicated_da') and a context length of 1024 tokens.
 
-The model is initialized from the English [GPT-2 medium model](https://huggingface.co/gpt2-medium) ('source model') with new word token embeddings created from the Danish [GPT-2 small model](https://huggingface.co/KennethTM/gpt2-small-danish) ('helper model') using the [CLP-Transfer method](https://github.com/malteos/clp-transfer).
+The model weights are initialized from the English [GPT-2 medium model](https://huggingface.co/gpt2-medium) ('source model') with new word token embeddings created from the Danish [GPT-2 small model](https://huggingface.co/KennethTM/gpt2-small-danish) ('helper model') using the [CLP-Transfer method](https://github.com/malteos/clp-transfer).
 
-The whole model is trained using ~1.000.000 samples.
+The model is trained using ~1.000.000 samples.
 
 For reference, the model achieves a perplexity of 24.7 on 5.000 random validation samples.